Search result: Catalogue data in Spring Semester 2020

Physics Master Information
Core Courses
One Core Course in Experimental or Theoretical Physics from Physics Bachelor is eligible; however, this Core Course from Physics Bachelor cannot be used to compensate for the mandatory Core Course in Experimental or Theoretical Physics.
For the category assignment keep the choice "no category" and take contact with the Study Administration (Link) after having received the credits.
Core Courses: Theoretical Physics
NumberTitleTypeECTSHoursLecturers
402-0871-00LSolid State Theory
UZH students are not allowed to register this course unit at ETH. They must book the corresponding module directly at UZH.
W10 credits4V + 1UM. Sigrist
AbstractThe course is addressed to students in experimental and theoretical condensed matter physics and provides a theoretical introduction to a variety of important concepts used in this field.
ObjectiveThe course provides a theoretical frame for the understanding of basic pinciples in solid state physics. Such a frame includes the topics of symmetries, band structures, many body interactions, Landau Fermi-liquid theory, and specific topics such as transport, Quantum Hall effect and magnetism. The exercises illustrate the various themes in the lecture and help to develop problem-solving skills. The student understands basic concepts in solid state physics and is able to solve simple problems. No diagrammatic tools will be used.
ContentThe course is addressed to students in experimental and theoretical condensed matter physics and provides a theoretical introduction to a variety of important concepts used in this field. The following subjects will be covered: Symmetries and their handling via group theoretical concepts, electronic structure in crystals, insulators-semiconductors-metals, phonons, interaction effects, (un-)screened Fermi-liquids, linear response theory, collective modes, screening, transport in semiconductors and metals, magnetism, Mott-insulators, quantum-Hall effect.
Lecture notesin English
402-0844-00LQuantum Field Theory II
UZH students are not allowed to register this course unit at ETH. They must book the corresponding module directly at UZH.
W10 credits3V + 2UG. Isidori
AbstractThe subject of the course is modern applications of quantum field theory with emphasis on the quantization of non-abelian gauge theories.
ObjectiveThe goal of this course is to lay down the path integral formulation of quantum field theories and in particular to provide a solid basis for the study of non-abelian gauge theories and of the Standard Model
ContentThe following topics will be covered:
- path integral quantization
- non-abelian gauge theories and their quantization
- systematics of renormalization, including BRST symmetries,
Slavnov-Taylor Identities and the Callan Symanzik equation
- the Goldstone theorem and the Higgs mechanism
- gauge theories with spontaneous symmetry breaking and
their quantization
- renormalization of spontaneously broken gauge theories and
quantum effective actions
LiteratureM.E. Peskin and D.V. Schroeder, "An introduction to Quantum Field Theory", Perseus (1995).
S. Pokorski, "Gauge Field Theories" (2nd Edition), Cambridge Univ. Press (2000)
P. Ramond, "Field Theory: A Modern Primer" (2nd Edition), Westview Press (1990)
S. Weinberg, "The Quantum Theory of Fields" (Volume 2), CUP (1996).
402-0394-00LTheoretical Cosmology
UZH students are not allowed to register this course unit at ETH. They must book the corresponding module directly at UZH.
W10 credits4V + 2UL. M. Mayer, J. Yoo
AbstractThis is the second of a two course series which starts with "General Relativity" and continues in the spring with "Theoretical Astrophysics and Cosmology", where the focus will be on applying general relativity to cosmology as well as developing the modern theory of structure formation in a cold dark matter Universe.
ObjectiveLearning the fundamentals of modern physical cosmology. This
entails understanding the physical principles behind the description
of the homogeneous Universe on large scales in the first part of the
course, and moving on to the inhomogeneous Universe model where
perturbation theory is used to study the development of structure
through gravitational instability in the second part of the course.
Modern notions of dark matter and dark energy will also be introduced and discussed.
ContentThe course will cover the following topics:
- Homogeneous cosmology
- Thermal history of the universe, recombination, baryogenesis and nucleosynthesis
- Dark matter and Dark Energy
- Inflation
- Perturbation theory: Relativistic and Newtonian
- Model of structure formation and initial conditions from Inflation
- Cosmic microwave background anisotropies
- Spherical collapse and galaxy formation
- Large scale structure and cosmological probes
LiteratureSuggested textbooks:
H.Mo, F. Van den Bosch, S. White: Galaxy Formation and Evolution
S. Carroll: Space-Time and Geometry: An Introduction to General Relativity
S. Dodelson: Modern Cosmology
Secondary textbooks:
S. Weinberg: Gravitation and Cosmology
V. Mukhanov: Physical Foundations of Cosmology
E. W. Kolb and M. S. Turner: The Early Universe
N. Straumann: General relativity with applications to astrophysics
A. Liddle and D. Lyth: Cosmological Inflation and Large Scale Structure
Prerequisites / NoticeKnowledge of General Relativity is recommended.
Core Courses: Experimental Physics
NumberTitleTypeECTSHoursLecturers
402-0448-01LQuantum Information Processing I: Concepts
This theory part QIP I together with the experimental part 402-0448-02L QIP II (both offered in the Spring Semester) combine to the core course in experimental physics "Quantum Information Processing" (totally 10 ECTS credits). This applies to the Master's degree programme in Physics.
W5 credits2V + 1UP. Kammerlander
AbstractThe course will cover the key concepts and ideas of quantum information processing, including descriptions of quantum algorithms which give the quantum computer the power to compute problems outside the reach of any classical supercomputer.
Key concepts such as quantum error correction will be described. These ideas provide fundamental insights into the nature of quantum states and measurement.
ObjectiveWe aim to provide an overview of the central concepts in Quantum Information Processing, including insights into the advantages to be gained from using quantum mechanics and the range of techniques based on quantum error correction which enable the elimination of noise.
ContentThe topics covered in the course will include quantum circuits, gate decomposition and universal sets of gates, efficiency of quantum circuits, quantum algorithms (Shor, Grover, Deutsch-Josza,..), error correction, fault-tolerant design, entanglement, teleportation and dense conding, teleportation of gates, and cryptography.
Lecture notesMore details to follow.
LiteratureQuantum Computation and Quantum Information
Michael Nielsen and Isaac Chuang
Cambridge University Press
Prerequisites / NoticeBasic knowledge in the formalism of quantum states, unitary evolution and quantum measurement is recommended.
402-0448-02LQuantum Information Processing II: Implementations
This experimental part QIP II together with the theory part 402-0448-01L QIP I (both offered in the Spring Semester) combine to the core course in experimental physics "Quantum Information Processing" (totally 10 ECTS credits). This applies to the Master's degree programme in Physics.
W5 credits2V + 1UJ. Home
AbstractIntroduction to experimental systems for quantum information processing (QIP). Quantum bits. Coherent Control. Measurement. Decoherence. Microscopic and macroscopic quantum systems. Nuclear magnetic resonance (NMR). Photons. Ions and neutral atoms in electromagnetic traps. Charges and spins in quantum dots and NV centers. Charges and flux quanta in superconducting circuits. Novel hybrid systems.
ObjectiveThroughout the past 20 years the realm of quantum physics has entered the domain of information technology in more and more prominent ways. Enormous progress in the physical sciences and in engineering and technology has allowed us to build novel types of information processors based on the concepts of quantum physics. In these processors information is stored in the quantum state of physical systems forming quantum bits (qubits). The interaction between qubits is controlled and the resulting states are read out on the level of single quanta in order to process information. Realizing such challenging tasks is believed to allow constructing an information processor much more powerful than a classical computer. This task is taken on by academic labs, startups and major industry. The aim of this class is to give a thorough introduction to physical implementations pursued in current research for realizing quantum information processors. The field of quantum information science is one of the fastest growing and most active domains of research in modern physics.
ContentIntroduction to experimental systems for quantum information processing (QIP).
- Quantum bits
- Coherent Control
- Measurement
- Decoherence
QIP with
- Ions
- Superconducting Circuits
- Photons
- NMR
- Rydberg atoms
- NV-centers
- Quantum dots
Lecture notesCourse material be made available at Link and on the Moodle platform for the course. More details to follow.
LiteratureQuantum Computation and Quantum Information
Michael Nielsen and Isaac Chuang
Cambridge University Press
Prerequisites / NoticeThe class will be taught in English language.

Basic knowledge of concepts of quantum physics and quantum systems, e.g from courses such as Phyiscs III, Quantum Mechanics I and II or courses on topics such as atomic physics, solid state physics, quantum electronics are considered helpful.

More information on this class can be found on the web site Link
402-0702-00LPhenomenology of Particle Physics IIW10 credits3V + 2UA. Rubbia, P. Crivelli
AbstractIn PPP II the standard model of particle physics will be developed from the point of view of gauge invariance. The example of QED will introduce the essential concepts. Then we will treat both strong and electroweak interactions. Important examples like deep inelastic lepton-hadron scattering, e+e- -> fermion antifermion, and weak particle decays will be calculated in detail.
Objective
402-0264-00LAstrophysics IIW10 credits3V + 2UA. Refregier
AbstractThe course examines various topics in astrophysics with an emphasis on physical processes occurring in an expanding Universe, from a time about 1 microsecond after the Big Bang, to the formation of galaxies and supermassive black holes within the next billion years.
ObjectiveThe course examines various topics in astrophysics with an emphasis on physical processes occurring in an expanding Universe. These include the Robertson-Walker metric, the Friedmann models, the thermal history of the Universe including Big Bang Nucleosynthesis, and introduction to Inflation, and the growth of structure through gravitational instability. Finally, the physics of the formation of cosmic structures, dark matter halos and galaxies is reviewed.
Prerequisites / NoticePrior completion of Astrophysics I is recommended but not required.
402-0265-00LAstrophysics IIIW10 credits3V + 2UH. M. Schmid
AbstractAstrophysics III is a course in Galactic Astrophysics. It introduces the concepts of stellar populations, stellar dynamics, interstellar medium (ISM), and star formation for understanding the physics and phenomenology of the different components of the Milky Way galaxy.
ObjectiveThe course should provide basic knowledge for research projects in the field of star formation and interstellar matter. A strong emphasis is put on radiation processes and the determination of physical parameters from observations.
ContentAstrophysics III: Galactic Astrophysics

- components of the Milky Way: stars, ISM, dark matter,
- dynamics of the Milky Way and of different subcomponents,
- the physics of the interstellar medium,
- star formation and feedback, and
- the Milky Way origin and evolution.
Lecture notesA lecture script will be distributed.
Prerequisites / NoticeAstrophysics I is recommended but not required.
Electives
Electives: Physics and Mathematics
Selection: Solid State Physics
NumberTitleTypeECTSHoursLecturers
402-0516-10LGroup Theory and its ApplicationsW12 credits3V + 3UD. Pescia
AbstractThis lecture introduces the fundamental concepts of group theory and its applications to general quantum mechanical and solid state physics problems. Symmetry is at the roots of quantum mechanics: this lecture is also a tutorial for students that would like to understand the practical side of the (often difficult) mathematical exposition of regular courses on quantum mechanics.
ObjectiveThe aim of this lecture is to give a fundamental knowledge on the application of symmetry in atoms, molecules and solids. The lecture is intended for students at the master and Phd. level in Physics that would like to have a practical and comprehensive view of the role of symmetry in physics. Students in their third year of Bachelor will be perfectly able to follow the lecture and can use it for their future master curriculuum. Students from other Departement are welcome, as the lecture is designed to be (almost) self-contained. As symmetry is omnipresent in science and in particular quantum mechanics, this lecture is also a tutorial on quantum mechanics for students that would like to understand what is behind the often difficult mathematical exposition of regular courses on quantum mechanics.
Content1. Abstract Group Theory and representation theory of groups
(Fundamentals of groups, Groups and geometry, Point and space groups, Representation theory of groups (H. Weyl, 1885-1955), Reducible and irreducible representations , Properties of irreducible representations, Characters of a representation and theorems involving them, Symmetry adapted vectors)

2. Group theory and eigenvalue problems (General introduction and practical examples)

3. Representations of continuous groups (the circle group, The full rotation group, atomic physics, the translation group and the Schrödinger representation of quantum mechanics, Cristal field splitting, The Peter-Weyl theorem, The Stone-von Neumann theorem, The Harisch-Chandra character)

4. Space groups and their representations (Elements of crystallography, irreducible representations of the space groups, Non-symmorphic space groups)

5. Kronecker (tensor) products (of vectors, of matrices, of groups, of representations)

6. Applications of tensor products (An introduction to the universal covering group, The universal covering group of SO3, SU(2), how to deal with the spin of the electron, Clebsch-Gordan coefficients, Double point groups, The Clebsch-Gordan coefficients for point groups, The Wigner-Eckart-Koster theorem and its applications)

7. (tentative) The application of symmetry to phase transitions (Landau).
Lecture notesA manuscript is made available.
Literature-B.L. van der Waerden, Group Theory and Quantum Mechanics, Springer Verlag. ("Old" but still modern).
- L.D. Landau, E.M. Lifshitz, Lehrbuch der Theor. Pyhsik, Band III, "Quantenmechanik", Akademie-Verlag Berlin, 1979, Kap. XII and
Ibidem, Band V, "Statistische Physik", Teil 1, Akademie-Verlag 1987, Kap. XIII and XIV. (Very concise and practical)
-A. Fässler, E. Stiefel, Group Theoretical Methods and Their applications, Birkhäuser. (A classical book on practical group theory, from a strong ETHZ school).
- C. Isham, Lectures on group and vector spaces for physicists, World Scientific. (More mathematical but very didactical)
402-0536-00LFerromagnetism: From Thin Films to SpintronicsW6 credits3GR. Allenspach
AbstractThis course extends the introductory course "Introduction to Magnetism" to the latest, modern topics in research in magnetism and spintronics.
After a short revisit of the basic magnetism concepts, emphasis is put on novel phenomena in (ultra)thin films and small magnetic structures, displaying effects not encountered in bulk magnetism.
ObjectiveKnowing the most important concepts and applications of ferromagnetism, in particular on the nanoscale (thin films, small structures). Being able to read and understand scientific articles at the front of research in this area. Learn to know how and why magnetic storage, sensors, memories and logic concepts function. Learn to condense and present the results of a research articles so that colleagues understand.
ContentMagnetization curves, magnetic domains, magnetic anisotropy; novel effects in ultrathin magnetic films and multilayers: interlayer exchange, spin transport; magnetization dynamics, spin precession.
Applications: Magnetic data storage, magnetic memories, spin-based electronics, also called spintronics.
Lecture notesLecture notes will be handed out (in English).
Prerequisites / NoticeThis course can be easily followed with having attended the "Introduction to Magnetism" course before, but also without.
Language: English.
402-0318-00LSemiconductor Materials: Characterization, Processing and DevicesW6 credits2V + 1US. Schön, W. Wegscheider
AbstractThis course gives an introduction into the fundamentals of semiconductor materials. The main focus in this semester is on state-of-the-art characterization, semiconductor processing and devices.
ObjectiveBasic knowledge of semiconductor physics and technology. Application of this knowledge for state-of-the-art semiconductor device processing
Content1. Material characterization: structural and chemical methods
1.1 X-ray diffraction methods (Powder diffraction, HRXRD, XRR, RSM)
1.2 Electron microscopy Methods (SEM, EDX, TEM, STEM, EELS)
1.3 SIMS, RBS
2. Material characterization: electronic methods
2.1 van der Pauw techniquel2.2 Floating zone method
2.2 Hall effect
2.3 Cyclotron resonance spectroscopy
2.4. Quantum Hall effect
3. Material characterization: Optical methods
3.1 Absorption methods
3.2 Photoluminescence methods
3.3 FTIR, Raman spectroscopy
4. Semiconductor processing: lithography
4.1 Optical lithography methods
4.2 Electron beam lithography
4.3 FIB lithography
4.4 Scanning probe lithography
4.5 Direct growth methods (CEO, Nanowires)
5. Semiconductor processing: structuring of layers and devices
5.1 Wet etching methods
5.2 Dry etching methods (RIE, ICP, ion milling)
5.3 Physical vapor depositon methods (thermal, e-beam, sputtering)
5.4 Chemical vapor Deposition methods (PECVD, LPCVD, ALD)
5.5 Cleanroom basics & tour
6. Semiconductor devices
6.1 Semiconductor lasers
6.2 LED & detectors
6.3 Solar cells
6.4 Transistors (FET, HBT, HEMT)
Lecture notesLink
Prerequisites / NoticeThe "compulsory performance element" of this lecture is a short presentation of a research paper complementing the lecture topics. Several topics and corresponding papers will be offered on the moodle page of this lecture.
402-0538-16LIntroduction to Magnetic Resonance for Physicists
Does not take place this semester.
W6 credits2V + 1UC. Degen
AbstractThis course provides the fundamental principles of magnetic resonance and discusses its applications in physics and other disciplines.
ObjectiveMagnetic resonance is a textbook example of quantum mechanics that has made its way into numerous applications. It describes the response of nuclear and electronic spins to radio-frequency magnetic fields. The aim of this course is to provide the basic concepts of magnetic resonance while making connections of relevancy to other areas of science.
After completing this course, students will understand the basic interactions of spins and how they are manipulated and detected. They will be able to calculate and simulate the quantum dynamics of spin systems. Examples of current-day applications in solid state physics, quantum information, magnetic resonance tomography, and biomolecular structure determination will also be integrated.
ContentFundamentals and Applications of Magnetic Resonance
- Historical Perspective
- Bloch Equations
- Quantum Picture of Magnetic Resonance
- Spin Hamiltonian
- Pulsed Magnetic Resonance
- Spin Relaxation
- Electron Paramagnetic Resonance and Ferromagnetic Resonance
- Signal Detection
- Modern Topics and Applications of Magnetic Resonance
Lecture notesClass Notes and Handouts
Literature1) Charles Slichter, "Principles of Magnetic Resonance"
2) Anatole Abragam, "The Principles of Nuclear Magnetism"
Prerequisites / NoticeBasic knowledge of quantum mechanics is not formally required but highly advantageous.
402-0596-00LElectronic Transport in Nanostructures Information W6 credits2V + 1UT. M. Ihn
AbstractThe lecture discusses modern topics in quantum transport through nanostructures including the underlying materials. Topics are: the quantum Hall effects with emphasis on the fractional quantum Hall effect, two-dimensional topological insulators, graphene and other 2D layered materials, quantum interferometers, quantum dot qubits for quantum information processing, decoherence of quantum states
ObjectiveStudents are able to understand modern experiments in the field of electronic transport in nanostructures. They can critically reflect published research in this field and explain it to an audience of physicists. Students know and understand the fundamental phenomena of electron transport in the quantum regime and their significance. They are able to apply their knowledge to practical experiments in a modern research lab.
Lecture notesThe lecture is based on the book:
T. Ihn, Semiconductor Nanostructures: Quantum States and Electronic Transport, ISBN 978-0-19-953442-5, Oxford University Press, 2010.
Prerequisites / NoticeA solid basis in quantum mechanics, electrostatics, quantum statistics and in solid state physics is required. Having passed the lecture Semiconductor Nanostructures (fall semester) may be advantageous, but is not required.

Students of the Master in Micro- and Nanosystems should at least have attended the lecture by David Norris, Introduction to quantum mechanics for engineers. They should also have passed the exam of the lecture Semiconductor Nanostructures.
402-0564-00LSolid State Optics
Does not take place this semester.
W6 credits2V + 1UL. Degiorgi
AbstractThe interaction of light with the condensed matter is the basic idea and principal foundation of several experimental spectroscopic methods. This lecture is devoted to the presentation of those experimental methods and techniques, which allow the study of the electrodynamic response of solids. I will also discuss recent experimental results on materials of high interest in the on-going solid-stat
ObjectiveThe lecture will give a basic introduction to optical spectroscopic methods in solid state physics.
ContentChapter 1
Maxwell equations and interaction of light with the medium
Chapter 2
Experimental methods: a survey
Chapter 3
Kramers-Kronig relations; optical functions
Chapter 4
Drude-Lorentz phenomenological method
Chapter 5
Electronic interband transitions and band structure effects
Chapter 6
Selected examples: strongly correlated systems and superconductors
Lecture notesmanuscript (in english) is provided.
LiteratureF. Wooten, in Optical Properties of Solids, (Academic Press, New York, 1972) and
M. Dressel and G. Gruener, in Electrodynamics of Solids, (Cambridge University Press, 2002).
Prerequisites / NoticeExercises will be proposed every week for one hour. There will be also the possibility to prepare a short presentations based on recent scientific literature (more at the beginning of the lecture).
402-0528-12LUltrafast Methods in Solid State PhysicsW6 credits2V + 1US. Johnson, M. Savoini
AbstractThis course provides an overview of experimental methods and techniques used to study dynamical processes in solids. Many processes in solids happen on a picosecond to femtosecond time scale. In this course we discuss different methods to generate femtosecond photon pulses and measurement techniques adapted to time resolved experiments.
ObjectiveThe goal of the course is to enable students to identify and evaluate experimental methods to manipulate and measure the electronic, magnetic and structural properties of solids on the fastest possible time scales. These "ultrafast methods" potentially lead both to an improved understanding of fundamental interactions in condensed matter and to applications in data storage, materials processing and computing.
ContentThe topical course outline is as follows:

0. Introduction
Time scales in solids and technology
Time vs. frequency domain experiments
Pump-Probe technique

1. Ultrafast processes in solids, an overview
Electron gas
Lattice
Spin system

2. Ultrafast optical-frequency methods
Ultrafast laser sources
Broadband techniques
Harmonic generation, optical parametric amplification
Fluorescence
Advanced pump-probe techniques

3. THz-frequency methods
Mid-IR and THz interactions with solids
Difference frequency mixing
Optical rectification

4. Ultrafast VUV and x-ray frequency methods
Synchrotron based sources
Free electron lasers
Higher harmonic generation based sources
X-ray diffraction
Time resolved X-ray microscopy
Coherent imaging

5. Electron spectroscopy in the time domain
Lecture notesWill be distributed.
LiteratureWill be distributed.
Prerequisites / NoticeAlthough the course "Ultrafast Processes in Solids" (402-0526-00L) is useful as a companion to this course, it is not a prerequisite.
402-0532-00LQuantum Solid State MagnetismW6 credits2V + 1UK. Povarov
AbstractThis course is based on the principal modern tools used to study collective magnetic phenomena in the Solid State, namely correlation and response functions. It is quite quantitative, but doesn't contain any "fancy" mathematics. Instead, the theoretical aspects are balanced by numerous experimental examples and case studies. It is aimed at theorists and experimentalists alike.
ObjectiveLearn the modern theoretical foundations and "language", as well as principles and capabilities of the latest experimental techniques, used to describe and study collective magnetic phenomena in the Solid State.
Content- Magnetic response and correlation functions. Analytic properties. Fluctuation-dissipation theorem. Experimental methods to measure static and dynamic correlations.

- Magnetic response and correlations in metals. Diamagnetism and paramagnetism. Magnetic ground states: ferromagnetism, spin density waves. Excitations in metals, spin waves. Experimental examples.

- Magnetic response and correlations of magnetic ions in crystals: quantum numbers and effective Hamiltonians. Application of group theory to classifying ionic states. Experimental case studies.

- Magnetic response and correlations in magnetic insulators. Effective Hamiltonians. Magnetic order and propagation vector formalism. The use of group theory to classify magnetic structures. Determination of magnetic structures from diffraction data. Excitations: spin wave theory and beyond. "Triplons". Measuring spin wave spectra.
Lecture notesA comprehensive textbook-like script is provided.
LiteratureIn principle, the script is suffient as study material. Additional reading:

-"Magnetism in Condensed Matter" by S. Blundell
-"Quantum Theory of Magnetism: Magnetic properties of Materials" by R. M. White
-"Lecture notes on Electron Correlations and Magnetism" by P. Fazekas
Prerequisites / NoticePrerequisite:
402-0861-00L Statistical Physics
402-0501-00L Solid State Physics

Not prerequisite, but a good companion course:
402-0871-00L Solid State Theory
402-0257-00L Advanced Solid State Physics
402-0535-00L Introduction to Magnetism
327-2130-00LIntroducing Photons, Neutrons and Muons for Materials Characterisation Restricted registration - show details
Does not take place this semester.
W2 credits3GL. Heyderman
AbstractThe course takes place at the campus of the Paul Scherrer Institute. The program consists of introductory lectures on the use of photons, neutrons and muons for materials characterization, as well as tours of the large scale facilities of PSI.
ObjectiveThe aim of the course is that the students acquire a basic understanding on the interaction of photons, neutrons and muons with matter and how one can use these as tools to solve specific problems.
ContentThe course runs for one week in June (15th to 19th). It takes place at the campus of the Paul Scherrer Institute. The morning consists of introductory lectures on the use of photons, neutrons and muons for materials characterization. In the afternoon tours of the large scale facilities of PSI (Swiss Light Source, Swiss Spallation Neutron Source, Swiss Muon Source, Swiss Free Electron Laser), are foreseen, as well as in depth visits to some of the instruments. At the end of the week, the students are required to give an oral presentation about a scientific topic involving the techniques discussed. Time for the presentation preparations will be allocated in the afternoon.
•Interaction of photons, neutrons and muons with matter
• Production of photons, neutrons and muons
• Experimental setups: optics and detectors
• Crystal symmetry, Bragg’s law, reciprocal lattice, structure factors
• Elastic and inelastic scattering with neutrons and photons
• X-ray absorption spectroscopy, x-ray magnetic circular dichroism
• Polarized neutron scattering for the study of magnetic materials
• Imaging techniques using x-rays and neutrons
• Introduction to muon spin rotation
• Applications of muon spin rotation
Lecture notesSlides from the lectures will be available on the internet prior to the lectures.
Literature• Philip Willmott: An Introduction to Synchrotron Radiation: Techniques and Applications, Wiley, 2011
• J. Als-Nielsen and D. McMorrow: Elements of Modern X-Ray Physics, Wiley, 2011.
• G.L. Squires, Introduction to the Theory of Thermal Neutron Scattering, Dover Publications (1997).
• Muon Spin Rotation, Relaxation, and Resonance, Applications to Condensed Matter"
Alain Yaouanc and Pierre Dalmas de Réotier, Oxford University Press, ISBN: 9780199596478
• “Physics with Muons: from Atomic Physics to Condensed Matter Physics”, A. Amato
Link
Prerequisites / NoticeThis is a block course for students who have attended courses on condensed matter or materials physics. Registration at PSI website required by March 17th, 2020.
402-0533-00LQuantum Acoustics and OptomechanicsW6 credits2V + 1UY. Chu
AbstractThis course gives an introduction to the interaction of mechanical motion with electromagnetic fields in the quantum regime. There are parallels between the quantum descriptions of mechanical resonators, electrical circuits, and light, but each system also has its own unique properties. We will explore how interfacing them can be useful for technological applications and fundamental science.
ObjectiveThe goal of this course is provide the introductory knowledge necessary to understand current research in quantum acoustics and optomechanics. As part of this goal, we will also cover some related aspects of acoustics, quantum optics, and circuit/cavity quantum electrodynamics.
ContentThe focus of this course will be on the properties of and interactions between mechanical and electromagnetic systems in the context of quantum information and technologies. We will only briefly touch upon precision measurement and sensing with optomechanics since it is the topic of another course (227-0653-00L). Some topics that will be covered are:
- Mechanical motion and acoustics in solid state materials
- Quantum description of motion, electrical circuits, and light.
- Different models for quantum interactions: optomechanical, Jaynes-Cummings, etc.
- Mechanisms for mechanical coupling to electromagnetic fields: piezoelectricity, electrostriction, radiation pressure, etc.
- Coherent interactions vs. dissipative processes: phenomenon and applications in different regimes.
- State-of the art electromechanical and optomechanical systems.
Lecture notesNotes will be provided for each lecture.
LiteratureParts of books and research papers will be used.
Prerequisites / NoticeBasic knowledge of quantum mechanics would be highly useful.
Selection: Quantum Electronics
NumberTitleTypeECTSHoursLecturers
402-0468-15LNanomaterials for Photonics
Does not take place this semester.
W6 credits2V + 1UR. Grange
AbstractThe lecture describes various nanomaterials (semiconductor, metal, dielectric, carbon-based...) for photonic applications (optoelectronics, plasmonics, photonic crystal...). It starts with nanophotonic concepts of light-matter interactions, then the fabrication methods, the optical characterization techniques, the description of the properties and the state-of-the-art applications.
ObjectiveThe students will acquire theoretical and experimental knowledge in the different types of nanomaterials (semiconductors, metals, dielectric, carbon-based, ...) and their uses as building blocks for advanced applications in photonics (optoelectronics, plasmonics, photonic crystal, ...). Together with the exercises, the students will learn (1) to read, summarize and discuss scientific articles related to the lecture, (2) to estimate order of magnitudes with calculations using the theory seen during the lecture, (3) to prepare a short oral presentation about one topic related to the lecture, and (4) to imagine a useful photonic device.
Content1. Introduction to Nanomaterials for photonics
a. Classification of the materials in sizes and speed...
b. General info about scattering and absorption
c. Nanophotonics concepts

2. Analogy between photons and electrons
a. Wavelength, wave equation
b. Dispersion relation
c. How to confine electrons and photons
d. Tunneling effects

3. Characterization of Nanomaterials
a. Optical microscopy: Bright and dark field, fluorescence, confocal, High resolution: PALM (STORM), STED
b. Electron microscopy : SEM, TEM
c. Scanning probe microscopy: STM, AFM
d. Near field microscopy: SNOM
e. X-ray diffraction: XRD, EDS

4. Generation of Nanomaterials
a. Top-down approach
b. Bottom-up approach

5. Plasmonics
a. What is a plasmon, Drude model
b. Surface plasmon and localized surface plasmon (sphere, rod, shell)
c. Theoretical models to calculate the radiated field: electrostatic approximation and Mie scattering
d. Fabrication of plasmonic structures: Chemical synthesis, Nanofabrication
e. Applications

6. Organic nanomaterials
a. Organic quantum-confined structure: nanomers and quantum dots.
b. Carbon nanotubes: properties, bandgap description, fabrication
c. Graphene: motivation, fabrication, devices

7. Semiconductors
a. Crystalline structure, wave function...
b. Quantum well: energy levels equation, confinement
c. Quantum wires, quantum dots
d. Optical properties related to quantum confinement
e. Example of effects: absorption, photoluminescence...
f. Solid-state-lasers : edge emitting, surface emitting, quantum cascade

8. Photonic crystals
a. Analogy photonic and electronic crystal, in nature
b. 1D, 2D, 3D photonic crystal
c. Theoretical modeling: frequency and time domain technique
d. Features: band gap, local enhancement, superprism...

9. Optofluidic
a. What is optofluidic ?
b. History of micro-nano-opto-fluidic
c. Basic properties of fluids
d. Nanoscale forces and scale law
e. Optofluidic: fabrication
f. Optofluidic: applications
g. Nanofluidics

10. Nanomarkers
a. Contrast in imaging modalities
b. Optical imaging mechanisms
c. Static versus dynamic probes
Lecture notesSlides and book chapter will be available for downloading
LiteratureReferences will be given during the lecture
Prerequisites / NoticeBasics of solid-state physics (i.e. energy bands) can help
402-0470-17LOptical Frequency Combs: Physics and Applications
Does not take place this semester.
W6 credits2V + 1UJ. Faist
AbstractIn this lecture, the goal is to review the physics behind mode-locking in these various devices, as well as discuss the most important novelties and applications of the newly developed sources.
ObjectiveIn this lecture, the goal is to review the physics behind mode-locking in these various devices, as well as discuss the most important novelties and applications of the newly developed sources.
ContentSince their invention, the optical frequency combs have shown to be a key technological tool with applications in a variety of fields ranging from astronomy, metrology, spectroscopy and telecommunications. Concomitant with this expansion of the application domains, the range of technologies that have been used to generate optical frequency combs has recently widened to include, beyond the solid-state and fiber mode-locked lasers, optical parametric oscillators, microresonators and quantum cascade lasers.
In this lecture, the goal is to review the physics behind mode-locking in these various devices, as well as discuss the most important novelties and applications of the newly developed sources.

Chapt 1: Fundamentals of optical frequency comb generation
- Physics of mode-locking: time domain picture
Propagation and stability of a pulse, soliton formation
- Dispersion compensation
Solid-state and fiber mode-locked laser
Chapt 2: Direct generation
Microresonator combs: Lugiato-Lefever equation, solitons
Quantum cascade laser: Frequency domain picture of the mode-locking
Mid-infrared and terahertz QCL combs
Chapt 3: Non-linear optics
DFG, OPOs
Chapt 4: Comb diagnostics and noise
Jitter, linewidth
Chapt 5: Self-referenced combs and their applications
Chapt 6: Dual combs and their applications to spectroscopy
402-0498-00LCavity QED and Ion Trap PhysicsW6 credits2V + 1UD. Kienzler, M. Grau
AbstractThis course covers the physics of systems where harmonic oscillators are coupled to spin systems, for which the 2012 Nobel prize was awarded. Experimental realizations include photons trapped in high-finesse cavities and ions trapped by electro-magnetic fields. These approaches have achieved an extraordinary level of control and provide leading technologies for quantum information processing.
ObjectiveThe objective is to provide a basis for understanding the wide range of research currently being performed on fundamental quantum mechanics with spin-spring systems, including cavity-QED and ion traps. During the course students would expect to gain an understanding of the current frontier of research in these areas, and the challenges which must be overcome to make further advances. This should provide a solid background for tackling recently published research in these fields, including experimental realisations of quantum information processing.
ContentThis course will cover cavity-QED and ion trap physics, providing links and differences between the two. It aims to cover both theoretical and experimental aspects. In all experimental settings the role of decoherence and the quantum-classical transition is of great importance, and this will therefore form one of the key components of the course. The topics of the course were cited in the Nobel prize which was awarded to Serge Haroche and David Wineland in 2012.

Topics which will be covered include:

Cavity QED
(atoms/spins coupled to a quantized field mode)
Ion trap
(charged atoms coupled to a quantized motional mode)

Quantum state engineering:
Coherent and squeezed states
Entangled states
Schrodinger's cat states

Decoherence:
The quantum optical master equation
Monte-Carlo wavefunction
Quantum measurements
Entanglement and decoherence

Applications:
Quantum information processing
Quantum sensing
LiteratureS. Haroche and J-M. Raimond "Exploring the Quantum" (required)
M. Scully and M.S. Zubairy, Quantum Optics (recommended)
Prerequisites / NoticeThis course requires a good working knowledge in non-relativistic quantum mechanics. Prior knowledge of quantum optics is recommended but not required.
402-0558-00LCrystal Optics in Intense Light FieldsW6 credits2V + 1UM. Fiebig
AbstractBecause of their aesthetic nature crystals are termed "flowers of mineral kingdom". The aesthetic aspect is closely related to the symmetry of the crystals which in turn determines their optical properties. It is the purpose of this course to stimulate the understanding of these relations with a particular focus on those phenomena occurring in intense light fields as they are provided by lasers.
ObjectiveIn this course students will at first acquire a systematic knowledge of classical crystal-optical phenomena and the experimental and theoretical tools to describe them. This will be the basis for the core part of the lecture in which they will learn how to characterize ferroelectric, (anti)ferromagnetic and other forms of ferroic order and their interaction by nonlinear optical techniques. See also Link.
ContentCrystal classes and their symmetry; basic group theory; optical properties in the absence and presence of external forces; focus on magnetooptical phenomena; density-matrix formalism of light-matter interaction; microscopy of linear and nonlinear optical susceptibilities; second harmonic generation (SHG); characterization of ferroic order by SHG; outlook towards other nonlinear optical effects: devices, ultrafast processes, etc.
Lecture notesExtensive material will be provided throughout the lecture.
Literature(1) R. R. Birss, Symmetry and Magnetism, North-Holland (1966)
(2) R. E. Newnham: Properties of Materials: Anisotropy, Symmetry, Structure, Oxford University (2005)
(3) A. K. Zvezdin, V. A. Kotov: Modern Magnetooptics & Magnetooptical Materials, Taylor/Francis (1997)
(4) Y. R. Shen: The Principles of Nonlinear Optics, Wiley (2002)
(5) K. H. Bennemann: Nonlinear Optics in Metals, Oxford University (1999)
Prerequisites / NoticeBasic knowledge in solid state physics and quantum (perturbation) theory will be very useful. The lecture is addressed to students in physics and students in materials science with an affinity to physics.
402-0466-15LQuantum Optics with Photonic Crystals, Plasmonics and MetamaterialsW6 credits2V + 1UG. Scalari
AbstractIn this lecture, we would like to review new developments in the emerging topic of quantum optics in very strongly confined structures, with an emphasis on sources and photon statistics as well as the coupling between optical and mechanical degrees of freedom.
Objective
Content1. Light confinement
1.1. Photonic crystals
1.1.1. Band structure
1.1.2. Slow light and cavities
1.2. Plasmonics
1.2.1. Light confinement in metallic structures
1.2.2. Metal optics and waveguides
1.2.3. Graphene plasmonics
1.3. Metamaterials
1.3.1. Electric and magnetic response at optical frequencies
1.3.2. Negative index, cloacking, left-handness

2. Light coupling in cavities
2.1. Strong coupling
2.1.1. Polariton formation
2.1.2. Strong and ultra-strong coupling
2.2. Strong coupling in microcavities
2.2.1. Planar cavities, polariton condensation
2.3. Polariton dots
2.3.1. Microcavities
2.3.2. Photonic crystals
2.3.3. Metamaterial-based

3. Photon generation and statistics
3.1. Purcell emitters
3.1.1. Single photon sources
3.1.2. THz emitters
3.2. Microlasers
3.2.1. Plasmonic lasers: where is the limit?
3.2.2. g(1) and g(2) of microlasers
3.3. Optomecanics
3.3.1. Micro ring cavities
3.3.2. Photonic crystals
3.3.3. Superconducting resonators
402-0484-00LExperimental and Theoretical Aspects of Quantum Gases Information W6 credits2V + 1UT. U. Donner, T. Esslinger
AbstractQuantum Gases are the most precisely controlled many-body systems in physics. This provides a unique interface between theory and experiment, which allows addressing fundamental concepts and long-standing questions. This course lays the foundation for the understanding of current research in this vibrant field.
ObjectiveThe lecture conveys a basic understanding for the current research on quantum gases. Emphasis will be put on the connection between theory and experimental observation. It will enable students to read and understand publications in this field.
ContentCooling and trapping of neutral atoms

Bose and Fermi gases

Ultracold collisions

The Bose-condensed state

Elementary excitations

Vortices

Superfluidity

Interference and Correlations

Optical lattices
Lecture notesnotes and material accompanying the lecture will be provided
LiteratureC. J. Pethick and H. Smith, Bose-Einstein condensation in dilute Gases,
Cambridge.
Proceedings of the Enrico Fermi International School of Physics, Vol. CXL,
ed. M. Inguscio, S. Stringari, and C.E. Wieman (IOS Press, Amsterdam,
1999).
402-0444-00LAdvanced Quantum OpticsW6 credits2V + 1UA. Imamoglu
AbstractThis course builds up on the material covered in the Quantum Optics course. The emphasis will be on quantum optics in condensed-matter systems.
ObjectiveThe course aims to provide the knowledge necessary for pursuing advanced research in the field of Quantum Optics in condensed matter systems. Fundamental concepts and techniques of Quantum Optics will be linked to experimental research in systems such as quantum dots, exciton-polaritons, quantum Hall fluids and two-dimensional materials.
ContentDescription of open quantum systems using master equation and quantum trajectories. Decoherence and quantum measurements. Dicke superradiance. Dissipative phase transitions. Signatures of electron-exciton and electron-electron interactions in optical response.
Lecture notesLecture notes will be provided
LiteratureC. Cohen-Tannoudji et al., Atom-Photon-Interactions (recommended)
Y. Yamamoto and A. Imamoglu, Mesoscopic Quantum Optics (recommended)
A collection of review articles (will be pointed out during the lecture)
Prerequisites / NoticeMasters level quantum optics knowledge
402-0486-00LFrontiers of Quantum Gas Research: Few- and Many-Body Physics
Does not take place this semester.
W6 credits2V + 1U
AbstractThe lecture will discuss the most relevant recent research in the field of quantum gases. Bosonic and fermionic quantum gases with emphasis on strong interactions will be studied. The topics include low dimensional systems, optical lattices and quantum simulation, the BEC-BCS crossover and the unitary Fermi gas, transport phenomena, and quantum gases in optical cavities.
ObjectiveThe lecture is intended to convey an advanced understanding for the current research on quantum gases. Emphasis will be put on the connection between theory and experimental observation. It will enable students to follow current publications in this field.
ContentQuantum gases in one and two dimensions
Optical lattices, Hubbard physics and quantum simulation
Strongly interacting Fermions: the BEC-BCS crossover and the unitary Fermi gas
Transport phenomena in ultracold gases
Quantum gases in optical cavities
Lecture notesno script
LiteratureC. J. Pethick and H. Smith, Bose-Einstein condensation in dilute Gases, Cambridge.
T. Giamarchi, Quantum Physics in one dimension
I. Bloch, J. Dalibard, W. Zwerger, Many-body physics with ultracold gases, Rev. Mod. Phys. 80, 885 (2008)
Proceedings of the Enrico Fermi International School of Physics, Vol. CLXIV, ed. M. Inguscio, W. Ketterle, and C. Salomon (IOS Press, Amsterdam, 2007).
Additional literature will be distributed during the lecture
Prerequisites / NoticePresumably, Prof. Päivi Törmä from Aalto university in Finland will give part of the course. The exercise classes will be partly in the form of a Journal Club, in which a student presents the achievements of a recent important research paper. More information available on Link
151-0172-00LMicrosystems II: Devices and Applications Information W6 credits3V + 3UC. Hierold, C. I. Roman
AbstractThe students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS). They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products.
ObjectiveThe students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS), basic electronic circuits for sensors, RF-MEMS, chemical microsystems, BioMEMS and microfluidics, magnetic sensors and optical devices, and in particular to the concepts of Nanosystems (focus on carbon nanotubes), based on the respective state-of-research in the field. They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products.

During the weekly 3 hour module on Mondays dedicated to Übungen the students will learn the basics of Comsol Multiphysics and utilize this software to simulate MEMS devices to understand their operation more deeply and optimize their designs.
ContentTransducer fundamentals and test structures
Pressure sensors and accelerometers
Resonators and gyroscopes
RF MEMS
Acoustic transducers and energy harvesters
Thermal transducers and energy harvesters
Optical and magnetic transducers
Chemical sensors and biosensors, microfluidics and bioMEMS
Nanosystem concepts
Basic electronic circuits for sensors and microsystems
Lecture notesHandouts (on-line)
Selection: Particle Physics
NumberTitleTypeECTSHoursLecturers
402-0726-12LPhysics of Exotic AtomsW6 credits2V + 1UP. Crivelli, A. Soter
AbstractIn this course, we will review the status of physics with exotic atoms including the new exciting advances such as anti-hydrogen 1S-2S spectroscopy and measurements of the hyperfine splitting and the puzzling results of the muonic-hydrogen experiment for the determination of the proton charge radius.
ObjectiveThe course will give an introduction on the physics of exotic atoms covering both theoretical and experimental aspects. The focus will be set on the systems which are currently a subject of research in Switzerland: positronium at ETHZ, anti-hydrogen at CERN and muonium, muonic-H and muonic-He at PSI. The course will enable the students to follow recent publications in this field.
ContentReview of the theory of hydrogen and hydrogen-like atoms
Interaction of atoms with radiation
Hyperfine splitting theory and experiments: Positronium (Ps),
Muonium (Mu) and anti-hydrogen (Hbar)
High precision spectroscopy: Ps, Mu and Hbar
Lamb shift in muonic-H and muonic-He- the proton radius puzzle
Weak and strong interaction tests with exotic atoms
Anti-matter and gravitation
Applications of antimatter
Lecture notesscript
LiteraturePrecision physics of simple atoms and molecules, Savely G. Karshenboim, Springer 2008

Proceedings of the International Conference on Exotic Atoms (EXA 2008) and the 9th International Conference on Low Energy Antiproton Physics (LEAP 2008) held in Vienna, Austria, 15-19 September 2008 (PART I/II), Hyperfine Interactions, Volume 193, Numbers 1-3 / September 2009

Laser Spectroscopy: Vol. 1 Basic Principles Vol. 2 Experimental Techniques von Wolfgang Demtröder von Springer Berlin Heidelberg 2008
402-0738-00LStatistical Methods and Analysis Techniques in Experimental PhysicsW10 credits5GM. Donegà, C. Grab
AbstractThis lecture gives an introduction to the statistical methods and the various analysis techniques applied in experimental particle physics. The exercises treat problems of general statistical topics; they also include hands-on analysis projects, where students perform independent analyses on their computer, based on real data from actual particle physics experiments.
ObjectiveStudents will learn the most important statistical methods used in experimental particle physics. They will acquire the necessary skills to analyse large data records in a statistically correct manner. Learning how to present scientific results in a professional manner and how to discuss them.
ContentTopics include:
- modern methods of statistical data analysis
- probability distributions, error analysis, simulation methos, hypothesis testing, confidence intervals, setting limits and introduction to multivariate methods.
- most examples are taken from particle physics.

Methodology:
- lectures about the statistical topics;
- common discussions of examples;
- exercises: specific exercises to practise the topics of the lectures;
- all students perform statistical calculations on (their) computers;
- students complete a full data analysis in teams (of two) over the second half of the course, using real data taken from particle physics experiments;
- at the end of the course, the students present their analysis results in a scientific presentation;
- all students are directly tutored by assistants in the classroom.
Lecture notes- Copies of all lectures are available on the web-site of the course.
- A scriptum of the lectures is also available to all students of the course.
Literature1) Statistics: A guide to the use of statistical medhods in the Physical Sciences, R.J.Barlow; Wiley Verlag .
2) J Statistical data analysis, G. Cowan, Oxford University Press; ISBN: 0198501552.
3) Statistische und numerische Methoden der Datenanalyse, V.Blobel und E.Lohrmann, Teubner Studienbuecher Verlag.
4) Data Analysis, a Bayesian Tutorial, D.S.Sivia with J.Skilling,
Oxford Science Publications.
Prerequisites / NoticeBasic knowlege of nuclear and particle physics are prerequisites.
402-0703-00LPhenomenology of Physics Beyond the Standard ModelW6 credits2V + 1UM. Spira, M. G. Ratti
AbstractAfter a short introduction to the theoretical foundations and experimental tests of the standard model, supersymmetry, leptoquarks, and extra dimensions will be treated among other topics. Thereby the phenomenological aspect, i. e., the search for new particles and interactions at existing and future particle accelerators will play a significant role.
ObjectiveThe goal of the lecture is the introduction into several theoretical concepts that provide solutions for the open questions of the Standard Model of particle physics and thus lead to physics beyond the Standard Model.

Besides the theoretical concepts the phenomenological aspect plays a role, i.e. the search for new particles and interactions at the existing and future particle accelerators plays a crucial role.
Contentsee home page: Link
Lecture notessee home page: Link
Prerequisites / NoticeWill be taught in German only if all students understand German.
402-0778-00LParticle Accelerator Physics and Modeling IIW6 credits2V + 1UA. Adelmann
AbstractThe effect of nonlinearities on the beam dynamics of charged particles will be discussed. For the nonlinear beam transport, Lie-Methods in combination with differential algebra (DA) and truncated power series (TPS) will be introduced. In the second part we will discuss surrogate model construction for such non-linear dynamical systems using neural networks and polynomial chaos expansion.
ObjectiveModels for nonlinear beam dynamics can be applied to new or existing particle accelerators.
You create Python based surrogate models of dynamical systems, such as charged particle accelerators using Keras and Tensorflow.
Content- Symplectic Maps and Higher Order Beam Dynamics
- Taylor Modells and Differential Algebra
- Lie Methods
- Normal Forms
- Surrogate Models for dynamical systems
- Surrogate model based neural networks
- Surrogate model based polynomial chaos
- Uncertanty quantification of dynamical systems
Lecture notesLecture notes
Literature* Modern Map Methods in Particle Beam Physics
M. Berz (Link)
Prerequisites / NoticeIdeally Particle Accelerator Physics and Modelling 1 (PAM-1), however at the beginning of the semester, a crash course is offered introducing the minimum level of particle accelerator modeling needed to follow. This lecture is also suited for PhD. Students.
402-0604-00LMaterials Analysis by Nuclear Techniques Information W6 credits2V + 1UM. Doebeli
AbstractMaterials analysis by MeV ion beams. Nuclear techniques are presented which allow to quantitatively investigate the composition, structure and trace element content of solids.
ObjectiveStudents learn the basic concepts of ion beam analysis and its different analytical techniques. They understand how experimental data is taken and interpreted. They are able to chose the appropriate method of analysis to solve a given problem.
ContentThe course treats applications of nuclear methods in other fields of research. Materials analysis by ion beam analysis is emphasized. Techniques are presented which allow the quantitative investigation of composition, structure, and trace element content of solids:
- elasic nuclear scattering (Rutherfor Backscattering, Recoil detection)
- nuclear (resonant) reaction analysis
- activation analysis
- ion beam channeling (investigation of crystal defects)
- neutron sources
- MeV ion microprobes, imaging surface analysis

The course is also suited for graduate students.
Lecture notesLecture notes will be distributed in pdf.
Literature'Ion Beam Analysis: Fundamentals and Applications', M. Nastasi, J.W. Mayer, Y. Wang, CRC Press 2014, ISBN 9781439846384
Prerequisites / NoticeA practical lab demonstration is organized as part of lectures and exercises.

The course is also well suited for graduate students.
It can be held in German or English, depending on participants.
Selection: Theoretical Physics
NumberTitleTypeECTSHoursLecturers
402-0883-63LSymmetries in PhysicsW6 credits2V + 1UN. Beisert
AbstractThe course gives an introduction to symmetry groups in physics. It explains the relevant mathematical background (finite groups, Lie groups and algebras as well as their representations), and illustrates their important role in modern physics.
ObjectiveThe aim of the course is to give a self-contained introduction into finite group theory as well as Lie theory from a physicists point of view. Abstract mathematical constructions will be illustrated with examples from physics.
Contentsymmetries in two and three dimensions, groups and representations, finite group theory, point and space groups, structure of simple Lie algebras, finite-dimensional representations; advanced topics such as: representations of SU(N), classification of simple Lie algebras, conformal symmetry
402-0895-00LThe Standard Model of Electroweak Interactions
Special Students UZH must book the module PHY563 directly at UZH.
W6 credits2V + 1UA. Lazopoulos
AbstractTopics to be covered:
A) Electroweak Theory
- Spontaneous symmetry breaking and the Higgs mechanism
- The electroweak Standard Model Lagrangian
- The role of the Higgs and the Goldstone bosons
B) Flavour Physics
-The flavour sector of the Standard Model
-The neutral kaon system and CP violation
C) Neutrino oscillations
D) Precision tests of the electroweak Standard Model
ObjectiveAn introduction to modern theoretical particle physics
LiteratureAs described in the entity: Lernmaterialien
Prerequisites / NoticeKnowledge of Quantum Field Theory I is required.
Parallel following of Quantum Field Theory II is recommended.
402-0886-00LIntroduction to Quantum Chromodynamics
Special Students UZH must book the module PHY564 directly at UZH.
W6 credits2V + 1UV. Del Duca
AbstractIntroduction to the theoretical aspects of Quantum Chromodynamics, the theory of strong interactions.
ObjectiveStudents that complete the course will be able to understand the fundamentals of QCD, to quantitatively discuss the ultraviolet and infrared behaviour of the theory, to perform simple calculations and to understand modern publications on this research field.
ContentThe following topics will be covered:
- QCD Lagrangian and gauge invariance
- Ultraviolet behaviour of QCD: renormalisation, the beta function, running coupling and asymptotic freedom
- Infrared behaviour of QCD: soft and collinear divergences, coherence, jets
- Parton Model, factorisation and Deeply Inelastic Scattering
- Parton evolution in QCD: the DGLAP equations
- QCD at hadron colliders
LiteratureWill be provided at the Moodle site for the course.
Prerequisites / NoticeQFT I : A working knowledge of Quantum Field Theory I, at the level of easily performing tree-level computations with Feynman diagrams given the Feynman rules, is assumed.
402-0848-00LAdvanced Field Theory Information
Special Students UZH must book the module PHY572 directly at UZH.
W6 credits2V + 1UR. Chitra
AbstractThis course will introduce students to concepts and methods in field theory
which are used to study topics both in high energy physics and quantum condensed matter theory.
ObjectiveThe course aims to illustrate the deep similarities in the field theory methodologies used in both fields. The students will learn techniques commonly used to study interacting quantum systems and see corresponding applications
both in high energy and condensed matter physics.

The course will show how continuum field theories can be used to describe a wide variety of collective phenomena in condensed matter systems, like magnetism and spin-charge separation in one dimensional electronic systems. The same field theory techniques are used in high energy physics to treat light bound states in quantum chromodynamics (pions), to describe non-perturbative contributions to the vacuum state of quantum chromodynamics, or quantum tunneling effects that might have catalyzed baryogenesis in the early universe.
Prerequisites / NoticePrerequisite: Quantum Field Theory I
Recommended: Statistical Physics

We will use a light version of the Euclidean path integrals in this course and will strive to keep this course accessible independently of QFTII.

Students interested in more in-depth formulations of the path integral formalism and related topics can also attend QFT II in parallel.
402-0888-00LField Theory in Condensed Matter Physics
Does not take place this semester.
W6 credits2V + 1U
AbstractThis class is dedicated to non-perturbative many-body effects in condensed matter physics.
ObjectiveTo learn modern concepts in many-body condensed matter physics.
ContentIn this class I will show, by examples, how field theory can describe some important non-perturbative phenomena in condensed matter physics.
Lecture notesA pdf script in English will be distributed by email to those attending the class.
LiteratureLecture Notes on Field Theory in Condensed Matter Physics,
Christopher Mudry,
World Scientific Publishing Company,
ISBN 978-981-4449-09-0 (Hardcover),
978-981-4449-10-6 (paperback)]
402-0810-00LComputational Quantum Physics
Special Students UZH must book the module PHY522 directly at UZH.
W8 credits2V + 2UT. Neupert, M. H. Fischer
AbstractThis course provides an introduction to simulation methods for quantum systems, starting with the one-body problem and finishing with quantum field theory, with special emphasis on quantum many-body systems. Both approximate methods (Hartree-Fock, density functional theory) and exact methods (exact diagonalization, quantum Monte Carlo) are covered.
ObjectiveThe goal is to become familiar with computer simulation techniques for quantum physics, through lectures and practical programming exercises.
402-0812-00LComputational Statistical Physics Information W8 credits2V + 2UO. Zilberberg
AbstractComputer simulation methods in statistical physics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Application to Boltzmann machines. Simulation of non-equilibrium systems.

Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization.
ObjectiveThe lecture will give a deeper insight into computer simulation methods in statistical physics. Thus, it is an ideal continuation of the lecture
"Introduction to Computational Physics" of the autumn semester. In the first part students learn to apply the following methods: Classical Monte Carlo-simulations, finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Moreover, students learn about the application of statistical physics methods to Boltzmann machines and how to simulate non-equilibrium systems.

In the second part, students apply molecular dynamics simulation methods. This part includes long range interactions, Ewald summation and discrete elements.
ContentComputer simulation methods in statistical physics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Application to Boltzmann machines. Simulation of non-equilibrium systems. Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization.
Lecture notesLecture notes and slides are available online and will be distributed if desired.
LiteratureLiterature recommendations and references are included in the lecture notes.
Prerequisites / NoticeSome basic knowledge about statistical physics, classical mechanics and computational methods is recommended.
402-0462-00LAdvanced Topics in Quantum Information TheoryW6 credits2V + 1UJ. Renes
AbstractThe course covers a selection of topics that are of current interest in quantum information theory and quantum computation. Particular focus will be put on theoretical concepts that impact future implementations of quantum technologies.
ObjectiveThe course provides an insight into current research activities in quantum information science.
ContentThe course covers a selection of topics that are of current interest in quantum information theory and quantum computation. Particular focus will be put on theoretical concepts that impact future implementations of quantum technologies. Topics include quantum error-correction, fault-tolerant quantum computation, tensor-network methods, and quantum information in many-body systems.
Prerequisites / NoticePrerequisites are the courses Quantum Mechanics I and II. The course is complementary to the course Quantum Information Theory.
402-0832-11LApplications of General Relativity in Astrophysics and Cosmology
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: PHY519

Mind the enrolment deadlines at UZH:
Link
W6 credits2V + 1UP. Jetzer
AbstractThe following topics will be discussed:

- Time delay of radar echoes
- Geodetic precession
- Lense-Thirring effect
- Gravitational waves (their detection and applications)
- Binary pulsar
- Schwarzschild black holes
- Kerr solution
Objective
Lecture notessee homepage for script: Link
Selection:Astrophysics
NumberTitleTypeECTSHoursLecturers
402-0714-00LAstro-Particle Physics IIW6 credits2V + 1UA. Biland
AbstractThis lecture focuses on the neutral components of the cosmic rays as well as on several aspects of Dark Matter. Main topics will be very-high energy astronomy and neutrino astronomy.
ObjectiveStudents know experimental methods to measure neutrinos as well as high energy and very high energy photons from extraterrestrial sources. They are aware of the historical development and the current state of the field, including major theories. Additionally, they understand experimental evidences about the existence of Dark Matter and selected Dark Matter theories.
Contenta) short repetition about 'charged cosmic rays' (1st semester)
b) High Energy (HE) and Very-High Energy (VHE) Astronomy:
- ongoing and near-future detectors for (V)HE gamma-rays
- possible production mechanisms for (V)HE gamma-rays
- galactic sources: supernova remnants, pulsar-wind nebulae, micro-quasars, etc.
- extragalactic sources: active galactic nuclei, gamma-ray bursts, galaxy clusters, etc.
- the gamma-ray horizon and it's cosmological relevance
c) Neutrino Astronomy:
- atmospheric, solar, extrasolar and cosmological neutrinos
- actual results and near-future experiments
d) Dark Matter:
- evidence for existence of non-barionic matter
- Dark Matter models (mainly Supersymmetry)
- actual and near-future experiments for direct and indirect Dark Matter searches
Lecture notesSee: Link
LiteratureSee: Link
Prerequisites / NoticeThis course can be attended independent of Astro-Particle Physics I.
402-0368-13LExtrasolar PlanetsW6 credits2V + 1US. P. Quanz
AbstractThe course introduces in detail the observational methods for the detection and characterization of extra-solar planetary systems. It covers the physics of planets (in the solar system and in extra-solar systems) and gives a description of planet formation and evolution models.
ObjectiveThe course gives an overview of the current state-of-the-art in exoplanet science and serves as basis for first research projects in the field of exoplanet systems and related topics.
ContentContent of the lecture EXTRASOLAR PLANETS
1. Planets in the astrophysical context
2. Planets in the solar systems
3. Detecting extra-solar planetary systems
4. Properties of planetary systems and planets
5. Planet formation
6. Search for habitable planets and bio-signatures
402-0376-16LAdvanced Statistical Methods in Cosmology and Astrophysics
Does not take place this semester.
W6 credits2V + 1Uto be announced
AbstractStatistical methods are increasingly important in modern science. In this course we will build an understanding of statistical methods beyond Bayesian inference. These include information content of experiments through relative entropy and ABC methods for difficult problem when the likelihood cannot be calculated. We will also cover topics which are now commonly used in cosmology.
Objective
ContentIn this course we will build an understanding of statistical methods beyond Bayesian inference. These include information content of experiments through relative entropy and ABC methods for difficult problem when the likelihood cannot be calculated. We will also cover topics, such as power spectrum estimation, which are now commonly used in cosmology.
Prerequisites / NoticeIn this course we will assume good knowledge of statistical inference, so it is recommended that students have taken 'Statistical Methods in Cosmology and Astrophysics' or equivalent.
402-0364-17LCosmic Structure Formation and Radiation Processes
Does not take place this semester.
W6 credits2V + 1US. Cantalupo
AbstractIn this course, the students will investigate the properties and origin of the largest baryonic structures in the universe through the study of their radiation. We will span a large range in the universe’s history and radiation spectrum: from X-ray emitting ICM to Cosmic Web UV emission and absorption, to HI radio emission during Reionization. A strong focus will be also put on research practice.
ObjectiveContent goals/objectives include:

- The students will learn how to investigate and characterise the physical properties of the largest baryonic structures in the universe by studying in detail the mechanisms that produce and modify the electromagnetic radiation detectable with astronomical observing facilities.

- The students will learn that radiation processes are an active agent in shaping the formation and evolution of cosmic structures in the universe from the largest scales associated with intergalactic gas to galaxies.

Practice goals/objectives include:

- Through this course, the students will learn/consolidate the fundamental skills in scientific research practice including: i) asking and refining scientific questions, ii) making testable predictions, iii) reducing complex problems in smaller units, iv) finding relevant variables in physical problems, v) effectively sharing and communicating the results.

In order to achieve these goal, the course is designed through inquiry-based activities that will cover the following topics:

- Inferring the physical properties of the Intra Cluster Medium in Galaxy Clusters (X-ray, high-energy radiation processes)
- Detecting and studying Intergalactic gas in the Cosmic Web in absorption and emission (UV/optical absorption and emission of Hydrogen Ly-alpha radiation, Radiative Transfer)
- The physics of Radiative Cooling and how radiation processes shape cosmic structure formation.
- Cosmic Reionization and radio emission from neutral hydrogen in the early universe.
Lecture notesClass material will include: i) power point and black-board presentations, ii) material developed in the class during the activities by the students, iii) research papers and reviews, iv) extracts from books.

Some of the material will be available online but it is expected that a large fraction of the material/notes will be produced during the classroom activities. Class attendance and active participation are fundamental factors for both learning and assessment during this course and for the exam.
Prerequisites / NoticeThe course is geared towards students at any level (Bachelor, Master and Ph.D students) in the physical sciences with no particular prerequisites on previous classes or study background. The only prerequisites necessary for this class are: i) motivation, ii) curiosity, iii) willingness to actively participate.
402-0364-61LGalaxy Formation
Does not take place this semester.
W6 credits3GS. Cantalupo
AbstractIn this course, the students will discover how galaxies formed and developed in the context of the large scale structure of the universe. Following actual research practices, they will use galaxy observations in order to understand the physical properties of galactic constituents and they will combine their results with cosmological models to address unsolved questions in galaxy formation.
ObjectiveContent goals/objectives include:

- The students will learn how to use astronomical observations at different wavelengths to infer physical properties (mass, angular momentum, composition) of galaxies and their constituents (stars, interstellar medium, dark matter).

- The students will learn about the diversity of galaxies in the universe, in terms of, e.g., morphology, kinematics, stellar populations, properties of the interstellar medium. In this context, the students will learn how to identify possible trends and regularities, which may be then used as possible clues to their physical origin.

- The students will consolidate their knowledge and understanding of the most important astrophysical processes (cosmological expansion, gravity, radiative processes, stellar evolution) and learn how to apply them to the complex astrophysical problem of galaxy formation.

Practice goals/objectives include:

- The students will learn how to combine the observational data and theoretical models to formulate meaningful questions and hypotheses on possible galaxy formation paths, as well as strategies to test them.
- Through this course, the students will learn/consolidate the fundamental skills in scientific research practice including: i) asking and refining scientific questions, ii) reducing complex problems in smaller units, iii) finding relevant variables in physical problems, iv) making relevant assumptions v) formulate testable hypotheses vi) express physical ideas in a mathematical language and vii) effectively sharing and communicating the results.

In order to achieve these goals, the course is designed through inquiry-based activities, lead by the students themselves and facilitated by the instructors, in which the students will be able to choose their own investigation path, develop their own material and, finally, share their findings with their peers.
Lecture notesClass material will include: i) power point and black-board presentations, ii) material developed in the class during the activities by the students, iii) research papers and reviews, iv) extracts from books.

Some of the material will be available online but it is expected that a large fraction of the material/notes will be produced during the classroom activities. Class attendance and active participation are fundamental factors for both learning and assessment during this course and for the assessment.
Prerequisites / NoticeThe course is geared towards students at any level (Bachelor, Master and Ph.D students) in the physical sciences with no particular prerequisites on previous classes or study background. Previous attendance of the course “Cosmic Structure Formation and Radiation Processes” could be beneficial in terms of the acquisition of relevant practice skills and some content information for this course but it is not a prerequisite. The only prerequisites necessary for this class are: i) motivation, ii) curiosity, iii) willingness to actively participate.
402-0368-61LThe Sun, Stars and Planets - Properties, Processes and Interactions
Does not take place this semester.
W4 credits1GL. Harra, S. P. Quanz
AbstractThe physics of solar flares, coronal mass ejections and the solar wind will be described. A discussion of the similarities and differences to stellar flares and coronal mass ejections will follow. An introduction to the detection and characterization of extrasolar planets, the impact of stellar phenomena on exoplanets and in particular on their potential habitability will be given.
ObjectiveThe main goal of the course is to give the students an overview of physical phenomena that lead to impacts on the Earth, planets and exoplanets. The areas described are at the forefront of scientific research internationally, and touch on significant questions such as ‘is there life on other planets’. These topics will be of interest to students studying astrophysics, earth science and planetary sciences.
402-0395-00LMultimessenger Constraints of Generalizations of GravityW8 credits3GL. Heisenberg
AbstractThe LIGO detections of Gravitational Waves have started the field of Gravitational Wave astronomy. This opens an exiting opportunity to test gravity theories in regimes where it has not been tested yet. Together with standard cosmological observations, one can put tight multimessenger constraints on different cosmological models.
ObjectiveThese lecture series will be dedicated to combining theory with cosmological observations. First of all, I will discuss the consistent construction of prominent gravity theories, both from a geometrical as well as field theory perspectives. I will introduce more general space-time geometries as well as the building blocks of field theories based on additional degrees of freedom in the gravity sector. Coming from the theory side, I will explain the theoretical constraints and consistency checks that can be applied to fundamental gravity theories. In the observational side, the confrontation of gravity theories with cosmological observations is a crucial ingredient in testing these theories. A natural starting point will be the study of the background evolution. Theory parameters can then be constrained using the distance redshift relation from Supernovae, the distance priors method from CMB and BAO measurements. Given the recent developments in gravitational wave physics, I will discuss the implications of alternative gravity theories in the regime of strong gravity.
LiteratureUseful reading materials: cosmology book by Matthias Bartelmann, gravitational waves book by Michele Maggiore and the articles arXiv:1807.01725, arXiv:1806.05195
402-0384-00LLife in the Universe
This course is aimed at physics and other science students who would like to understand the astrophysics background to the multi-disciplinary question of Life in the Universe.
W6 credits2V + 1SS. Lilly
AbstractThis course examines the astrophysical background to the study of Life in the Universe. What is Life, and what are the most basic requirements for Life to exist in the Universe? What environments are conducive to Life, and how do these come about? Can we imagine Universes without Life.
ObjectiveThis course is aimed at physics and other science students who would like to understand the astrophysics background to the multi-disciplinary question of Life in the Universe. Most of the class time is traditional lectures. Students prepare a short (20 minute) presentation on a topic, which can be then of their own suggestion. The course will be in English.
ContentWhat is Life; requirements for Life; formation of planetary systems like the Solar System; potential habitats for Life elsewhere in the Solar System; impacts and mass extinctions on Earth; searches for other planetary systems; exosolar planetary systems; is Life common in the Universe; searches for extraterrestrial Life and intelligent Life; The evolution of stars and the origin of the chemical elements; The interesting case of carbon; cosmology and the formation of structure in the Universe; anthropic principles; is Life inevitable.
Lecture notesPresentation Powerpoint
Prerequisites / NoticeNone. A general familiarity with physical science is assumed, but the course has been successfully taken by students with a diverse range of backgrounds, including civil engineers, information technology etc.
Selection: Further Electives
NumberTitleTypeECTSHoursLecturers
402-0742-00LEnergy and Environment in the 21st Century (Part II) Information W6 credits2V + 1UM. Dittmar, P. Morf
AbstractDespite the widely used concepts of sustainability and sustainable
development, one remarks the absence of a scientific
definition. In this lecture we will discuss, based on the natural laws and the scientific method, various proposed concepts for a
development towards sustainability.
ObjectiveA scientifically useful definition of sustainability?
Unsustainable aspects of our lifestyle and our society?
(unsustainable use of ressources, environmental destruction
and climate change, mass extinctions etc)
How long can humanity continue on its current unsustainable path,
what are the possible consequences? Historical examples of society collapse. What can we learn from them.
Existing Gedanken models/experiments (like Permaculture) promise to transform the human society into the direction of sustainability.
If these ideas would theoretically transform our global society
into a sustainable one, what are the large scale limitations and why
do we not yet follow these ideas?
ContentIntroduction ``sustainability" (21.2.); Population Dynamik (28.2.);
finite (energy)-resources (6.3.); waste problems (13.3.);
water, soil and industrial agriculture (20.3.); biodiversity (27.3.); (un)-sustainable development (3.4./24.4./8.5); example for sustainable systems; human nature, Ethics and earth-care(?) (15.5./22.5.) summary (29.5.)
Lecture notesWeb page:
Link
Literaturefor example:
Environmental Physics (Boeker and Grandelle)
A prosperous way down: Principles and Policies (H. Odum and E. Odum)
Prerequisites / NoticeBasic knowledge of the ``physics laws" governing todays energy
system and it use to deliver ``useful" work for our life
(laws of energie conservation and of the
energy transformation to do work).

Interest to learn about the problems (and possible solutions)
related to the transition from an unsustainable use of renewable and non renewable (energy) resources to a sustainable system
using scientific method.
402-0248-00LElectronics for Physicists II (Digital) Restricted registration - show details
Number of participants limited to 30.
W4 credits4GY. M. Acremann
AbstractThe course will start with logic and finite state machines. These concepts will be applied in practical exercises using FPGAs. Based on this knowledge we will cover the working principles of microprocessors. We will cover combined systems where a micro processor is used for the complex parts and specialized logic on the FPGA is in charge of processing time-critical signals.
ObjectiveThe goal of this lecture is to give an overview over digital electronic design needed for timing and data acquisition systems used in physics. After this lecture you will have the knowledge to design digital systems based on FPGAs and microcontrollers.
ContentThe goal of this lecture is to give an overview over digital electronic design needed for timing and data acquisition systems used in physics. After this lecture you will have the knowledge to design digital systems based on FPGAs and micro controllers.

Contents:
Combinational logic
Flip-Flops
Binary representations of numbers, binary arithmetic
Counters, shift registers

Hardware description languages (mostly VHDL)
Field programmable gate arrays (FPGAs)
From algorithm to architecture
Finite state machines

Buses (parallel, serial)
The SPI bus

Digital signal processing
The sampling theorem
Z-transform,
Digital filters
Frequency conversion

The microprocessor (illustrated on an open-source implementation of the RISC-V microprocessor)
SPI bus with a micro controller
Combined systems: FPGA for the time critical part, processor for the user interface
System-on-chip (FPGA based)
Prerequisites / NoticeWe recommend the students to have taken Analog Electronics for Physicists or to have knowledge of basic analog electronics.

Students (or at least each group of 2 / 3 students) need a laptop computer, preferably running Linux or Windows. For other operating systems we recommend running Linux or Windows on a virtual machine.
Selection: Neuroinformatics /INI
NumberTitleTypeECTSHoursLecturers
227-1032-00LNeuromorphic Engineering II Information
Information for UZH students:
Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH.

Please mind the ETH enrolment deadlines for UZH students: Link
W6 credits5GS.‑C. Liu, T. Delbrück, G. Indiveri
AbstractThis course teaches the basics of analog chip design and layout with an emphasis on neuromorphic circuits, which are introduced in the fall semester course "Neuromorphic Engineering I".
ObjectiveDesign of a neuromorphic circuit for implementation with CMOS technology.
ContentThis course teaches the basics of analog chip design and layout with an emphasis on neuromorphic circuits, which are introduced in the autumn semester course "Neuromorphic Engineering I".

The principles of CMOS processing technology are presented. Using a set of inexpensive software tools for simulation, layout and verification, suitable for neuromorphic circuits, participants learn to simulate circuits on the transistor level and to make their layouts on the mask level. Important issues in the layout of neuromorphic circuits will be explained and illustrated with examples. In the latter part of the semester students simulate and layout a neuromorphic chip. Schematics of basic building blocks will be provided. The layout will then be fabricated and will be tested by students during the following fall semester.
LiteratureS.-C. Liu et al.: Analog VLSI Circuits and Principles; software documentation.
Prerequisites / NoticePrerequisites: Neuromorphic Engineering I strongly recommended
Selection: Biophysics, Physical Chemistry
no course offering in this semester
Selection: Medical Physics
NumberTitleTypeECTSHoursLecturers
402-0787-00LTherapeutic Applications of Particle Physics: Principles and Practice of Particle TherapyW6 credits2V + 1UA. J. Lomax
AbstractPhysics and medical physics aspects of particle physics
Subjects: Physics interactions and beam characteristics; medical accelerators; beam delivery; pencil beam scanning; dosimetry and QA; treatment planning; precision and uncertainties; in-vivo dose verification; proton therapy biology.
ObjectiveThe lecture series is focused on the physics and medical physics aspects of particle therapy. The radiotherapy of tumours using particles (particularly protons) is a rapidly expanding discipline, with many new proton and particle therapy facilities currently being planned and built throughout Europe. In this lecture series, we study in detail the physics background to particle therapy, starting from the fundamental physics interactions of particles with tissue, through to treatment delivery, treatment planning and in-vivo dose verification. The course is aimed at students with a good physics background and an interest in the application of physics to medicine.
Prerequisites / NoticeThe former title of this course was "Medical Imaging and Therapeutic Applications of Particle Physics".
227-0968-00LMonte Carlo in Medical PhysicsW4 credits3GM. Stampanoni, M. K. Fix
AbstractIntroduction in basics of Monte Carlo simulations in the field of medical radiation physics. General recipe for Monte Carlo simulations in medical physics from code selection to fine-tuning the implementation. Characterization of radiation by means of Monte Carlo simulations.
ObjectiveUnderstanding the concept of the Monte Carlo method. Getting familiar with the Monte Carlo technique, knowing different codes and several applications of this method. Learn how to use Monte Carlo in the field of applied medical radiation physics. Understand the usage of Monte Carlo to characterize the physical behaviour of ionizing radiation in medical physics. Share the enthusiasm about the potential of the Monte Carlo technique and its usefulness in an interdisciplinary environment.
ContentThe lecture provides the basic principles of the Monte Carlo method in medical radiation physics. Some fundamental concepts on applications of ionizing radiation in clinical medical physics will be reviewed. Several techniques in order to increase the simulation efficiency of Monte Carlo will be discussed. A general recipe for performing Monte Carlo simulations will be compiled. This recipe will be demonstrated for typical clinical devices generating ionizing radiation, which will help to understand implementation of a Monte Carlo model. Next, more patient related effects including the estimation of the dose distribution in the patient, patient movements and imaging of the patient's anatomy. A further part of the lecture covers the simulation of radioactive sources as well as heavy ion treatment modalities. The field of verification and quality assurance procedures from the perspective of Monte Carlo simulations will be discussed. To complete the course potential future applications of Monte Carlo methods in the evolving field of treating patients with ionizing radiation.
Lecture notesA script will be provided.
402-0342-00LMedical Physics IIW6 credits2V + 1UP. Manser
AbstractApplications of ionizing radiation in medicine such as radiation therapy, nuclear medicine and radiation diagnostics. Theory of dosimetry based on cavity theory and clinical consequences. Fundamentals of dose calculation, optimization and evaluation. Concepts of external beam radiation therapy and brachytherapy. Recent and future developments: IMRT, IGRT, SRS/SBRT, particle therapy.
ObjectiveGetting familiar with the different medical applications of ionizing radiation in the fields of radiation therapy, nuclear medicine, and radiation diagnostics. Dealing with concepts such as external beam radiation therapy as well as brachytherapy for the treatment of cancer patients. Understanding the fundamental cavity theory for dose measurements and its consequences on clinical practice. Understanding different delivery techniques such as IMRT, IGRT, SRS/SBRT, brachytherapy, particle therapy using protons, heavy ions or neutrons. Understanding the principles of dose calculation, optimization and evaluation for radiation therapy, nuclear medicine and radiation diagnostic applications. Finally, the lecture aims to demonstrate that medical physics is a fascinating and evolving discipline where physics can directly be used for the benefits of patients and the society.
ContentIn this lecture, the use of ionizing radiation in different clinical applications is discussed. Primarily, we will concentrate on radiation therapy and will cover applications such as external beam radiotherapy with photons and electrons, intensity modulated radiotherapy (IMRT), image guided radiotherapy (IGRT), stereotactic radiotherapy and radiosurgery, brachytherapy, particle therapy using protons, heavy ions or neutrons. In addition, dosimetric methods based on cavity theory are reviewed and principles of treatment planning (dose calculation, optimization and evaluation) are discussed. Next to these topics, applications in nuclear medicine and radiation diagnostics are explained with the clear focus on dosimetric concepts and behaviour.
Lecture notesA script will be provided.
Prerequisites / NoticeIt is recommended that the students have taken the lecture Medical Physics I in advance.
402-0343-00LPhysics Against Cancer: The Physics of Imaging and Treating Cancer
Special Students UZH must book the module PHY361 directly at UZH.
W6 credits2V + 1UA. J. Lomax, U. Schneider
AbstractRadiotherapy is a rapidly developing and technology driven medical discipline that is heavily dependent on physics and engineering. In this lecture series, we will review and describe some of the current developments in radiotherapy, particularly from the physics and technological view point, and will indicate in which direction future research in radiotherapy will lie.
ObjectiveRadiotherapy is a rapidly developing and technology driven medical discipline that is heavily dependent on physics and engineering. In the last few years, a multitude of new techniques, equipment and technology have been introduced, all with the primary aim of more accurately targeting and treating cancerous tissues, leading to a precise, predictable and effective therapy technique. In this lecture series, we will review and describe some of the current developments in radiotherapy, particularly from the physics and technological view point, and will indicate in which direction future research in radiotherapy will lie. Our ultimate aim is to provide the student with a taste for the critical role that physics plays in this rapidly evolving discipline and to show that there is much interesting physics still to be done.
ContentThe lecture series will begin with a short introduction to radiotherapy and an overview of the lecture series (lecture 1). Lecture 2 will cover the medical imaging as applied to radiotherapy, without which it would be impossible to identify or accurately calculate the deposition of radiation in the patient. This will be followed by a detailed description of the treatment planning process, whereby the distribution of deposited energy within the tumour and patient can be accurately calculated, and the optimal treatment defined (lecture 3). Lecture 4 will follow on with this theme, but concentrating on the more theoretical and mathematical techniques that can be used to evaluate different treatments, using mathematically based biological models for predicting the outcome of treatments. The role of physics modeling, in order to accurately calculate the dose deposited from radiation in the patient, will be examined in lecture 5, together with a review of mathematical tools that can be used to optimize patient treatments. Lecture 6 will investigate a rather different issue, that is the standardization of data sets for radiotherapy and the importance of medical data bases in modern therapy. In lecture 7 we will look in some detail at one of the most advanced radiotherapy delivery techniques, namely Intensity Modulated Radiotherapy (IMRT). In lecture 8, the two topics of imaging and therapy will be somewhat combined, when we will describe the role of imaging in the daily set-up and assessment of patients. Lecture 9 follows up on this theme, in which a major problem of radiotherapy, namely organ motion and changes in patient and tumour geometry during therapy, will be addressed, together with methods for dealing with such problems. Finally, in lectures 10-11, we will describe in some of the multitude of different delivery techniques that are now available, including particle based therapy, rotational (tomo) therapy approaches and robot assisted radiotherapy. In the final lecture, we will provide an overview of the likely avenues of research in the next 5-10 years in radiotherapy. The course will be rounded-off with an opportunity to visit a modern radiotherapy unit, in order to see some of the techniques and delivery methods described in the course in action.
Prerequisites / NoticeAlthough this course is seen as being complimentary to the Medical Physics I and II course of Dr Manser, no previous knowledge of radiotherapy is necessarily expected or required for interested students who have not attended the other two courses.
402-0673-00LPhysics in Medical Research: From Humans to CellsW6 credits2V + 1UB. K. R. Müller
AbstractThe aim of this lecture series is to introduce the role of physics in state-of-the-art medical research and clinical practice. Topics to be covered range from applications of physics in medical implant technology and tissue engineering, through imaging technology, to its role in interventional and non-interventional therapies.
ObjectiveThe lecture series is focused on applying knowledge from physics in diagnosis, planning, and therapy close to clinical practice and fundamental medical research. Beside a general overview, the lectures give a deep insight into a very few selected techniques, which will help the students to apply the knowledge to a broad range of related techniques.

In particular, the lectures will elucidate the physics behind the X-ray imaging currently used in clinical environment and contemporary high-resolution developments. It is the goal to visualize and quantify (sub-)microstructures of human tissues and implants as well as their interface.

Ultrasound is not only used for diagnostic purposes but includes therapeutic approaches such as the control of the blood-brain barrier under MR-guidance.

Physicists in medicine are working on modeling and simulation. Based on the vascular structure in cancerous and healthy tissues, the characteristic approaches in computational physics to develop strategies against cancer are presented. In order to deliberately destroy cancerous tissue, heat can be supplied or extracted in different manner: cryotherapy (heat conductivity in anisotropic, viscoelastic environment), radiofrequency treatment (single and multi-probe), laser application, and proton therapy.

Medical implants play an important role to take over well-defined tasks within the human body. Although biocompatibility is here of crucial importance, the term is insufficiently understood. The aim of the lectures is the understanding of biocompatibility performing well-defined experiments in vitro and in vivo. Dealing with different classes of materials (metals, ceramics, polymers) the influence of surface modifications (morphology and surface coatings) are key issues for implant developments, which might be bio-inspired.

Mechanical stimuli can drastically influence soft and hard tissue behavior. The students should realize that a physiological window exists, where a positive tissue response is expected and how the related parameter including strain, frequency, and resting periods can be selected and optimized for selected tissues such as bone.

For the treatment of severe incontinence, we are developing artificial smart muscles. The students should have a critical look at promising solutions and the selection procedure as well as realize the time-consuming and complex way to clinical practice.

The course will be completed by relating the numerous examples and a common round of questions.
ContentThis lecture series will cover the following topics:
Introduction: Imaging the human body down to individual cells and beyond
Development of artificial muscles for incontinence treatment
X-ray-based computed tomography in clinics and related medical research
High-resolution micro computed tomography
Phase tomography using hard X-rays in biomedical research
Metal-based implants and scaffolds
Natural and synthetic ceramics for implants and regenerative medicine
Biomedical simulations
Polymers for medical implants
From open surgery to non-invasive interventions - Physical approaches in medical imaging
Dental research
Focused Ultrasound and its clinical use
Applying physics in medicine: Benefitting patients
Lecture notesLink

login and password to be provided during the lecture
Prerequisites / NoticeStudents from other departments are very welcome to join and gain insight into a variety of sophisticated techniques for the benefit of patients.
No special knowledge is required. Nevertheless, gaps in basic physical knowledge will require additional efforts.
Selection: Environmental Physics
NumberTitleTypeECTSHoursLecturers
701-1216-00LNumerical Modelling of Weather and Climate Information W4 credits3GC. Schär, S. Soerland, J. Vergara Temprado
AbstractThe course provides an introduction to weather and climate models. It discusses how these models are built addressing both the dynamical core and the physical parameterizations, and it provides an overview of how these models are used in numerical weather prediction and climate research. As a tutorial, students conduct a term project and build a simple atmospheric model using the language PYTHON.
ObjectiveAt the end of this course, students understand how weather and climate models are formulated from the governing physical principles, and how they are used for climate and weather prediction purposes.
ContentThe course provides an introduction into the following themes: numerical methods (finite differences and spectral methods); adiabatic formulation of atmospheric models (vertical coordinates, hydrostatic approximation); parameterization of physical processes (e.g. clouds, convection, boundary layer, radiation); atmospheric data assimilation and weather prediction; predictability (chaos-theory, ensemble methods); climate models (coupled atmospheric, oceanic and biogeochemical models); climate prediction. Hands-on experience with simple models will be acquired in the tutorials.
Lecture notesSlides and lecture notes will be made available at
Link
LiteratureList of literature will be provided.
Prerequisites / NoticePrerequisites: to follow this course, you need some basic background in atmospheric science, numerical methods (e.g., "Numerische Methoden in der Umweltphysik", 701-0461-00L) as well as experience in programming. Previous experience with PYTHON is useful but not required.
151-0110-00LCompressible FlowsW4 credits2V + 1UT. Rösgen
AbstractTopics: unsteady one-dimensional subsonic and supersonic flows, acoustics, sound propagation, supersonic flows with shocks and Prandtl-Meyer expansions, flow around slender bodies, shock tubes, reaction fronts (deflagration and detonation).
Mathematical tools: method of characteristics and selected numerical methods.
ObjectiveIllustration of compressible flow phenomena and introduction to the corresponding mathematical description methods.
ContentThe interaction of compressibility and inertia is responsible for wave generation in a fluid. The compressibility plays an important role for example in unsteady phenomena, such as oscillations in gas pipelines or exhaust pipes. Compressibility effects are also important in steady subsonic flows with high Mach numbers (M>0.3) and in supersonic flows (e.g. aeronautics, turbomachinery).
The first part of the lecture deals with wave propagation phenomena in one-dimensional subsonic and supersonic flows. The discussion includes waves with small amplitudes in an acoustic approximation and waves with large amplitudes with possible shock formation.
The second part deals with plane, steady supersonic flows. Slender bodies in a parallel flow are considered as small perturbations of the flow and can be treated by means of acoustic methods. The description of the two-dimensional supersonic flow around bodies with arbitrary shapes includes oblique shocks and Prandtl-Meyer expansions etc.. Various boundary conditions, which are imposed for example by walls or free-jet boundaries, and interactions, reflections etc. are taken into account.
Lecture notesnot available
Literaturea list of recommended textbooks is handed out at the beginning of the lecture.
Prerequisites / Noticeprerequisites: Fluiddynamics I and II
701-1244-00LAerosols II: Applications in Environment and TechnologyW4 credits2V + 1UM. Gysel Beer, U. Baltensperger, D. Bell
AbstractThe life-cycle of atmospheric aerosols, the evolution of their physical and chemical properties, and their impacts on climate, atmospheric chemistry and health are studied in detail using examples from current research.
ObjectiveThe students achieve a profound knowledge of atmospheric aerosols and their climate and health impacts including the underlying physical and chemical processes. The students know and understand advanced experimental methods and are able to design experiments to study aforementioned impacts and processes.
ContentAtmospheric aerosols:
important sources and sinks, wet and dry deposition, chemical composition and transformation processes, importance for men and environment, interaction with the gas phase, influence on health and climate.
Lecture notesInformation is distributed during the lectures
LiteratureSeinfeld, J.H. and Pandis, S.N., Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. 3rd ed., John Wiley & Sons, Hoboken, 2016.
Prerequisites / NoticeThis course build up on the lecture "Aerosols I: Physical and Chemical Principles"
701-1264-00LAtmospheric Physics Lab Work Information Restricted registration - show details
Number of participants limited to 18.

Target grous are: MSc Atmospheric and Climate Science, MSc Interdisciplinary Sciences, MSc Physics, MSc Environmental Sciences.
W2.5 credits5PZ. A. Kanji
AbstractExperiments covering atmospheric physics, meteorology, and aeerosol physics which will be performed in the lab and partly outdoors.
ObjectiveThis course delivers inisghts into various aspects of atmospheric physics. These will be acquired within individual experiments which cover the following topics: Wind and movement of air parcels, evaporation and cooling depending on wind velocity (wind chill), the analysis of particulate matter (aerosol particles), and their influence on the solar radiation that reaches the earth.
ContentDetails about the course are available on the web page (cf. link).
Lecture notesExperiment instructions can be found on the Atmospheric physics lab work web page.
Prerequisites / NoticeThree out of four available experiments must be carried out. The experiments are conducted in groups of 2 (or 3).
There will be three introduction lectures of 2 hours each in the beginning of the semester to familiarise students with the topics covered and report writing process. The introduction lectures will take place on Mondays Feb 17, March 2 and March 16 from 10-12 hours in CHN L17.1
651-1504-00LSnowcover: Physics and ModellingW4 credits3GM. Schneebeli, H. Löwe
AbstractSnow is a fascinating high-temperature material and relevant for applications in glaciology, hydrology, atmospheric sciences, polar climatology, remote sensing and natural hazards. This course introduces key concepts and underlying physical principles of snow, ranging from individual crystals to polar ice sheets.
ObjectiveThe course aims at a cross-disciplinary overview about the phenomenology of relevant processes in the snow cover, traditional and advanced experimental methods for snow measurements and theoretical foundations with key equations required for snow modeling. Tutorials and short presentations will also consider the bigger picture of snow physics with respect to climatology, hydrology and earth science.
ContentThe lectures will treat snow formation, crystal growth, snow microstructure, metamorphism, ice physics, snow mechanics, heat and mass transport in the snowcover, surface energy balance, snow models, wind transport, snow chemistry, electromagnetic properties, experimental techniques.

The tutorials include a demonstration/exercise part and a presentation part. The demonstration/exercise part consolidates key subjects of the lecture by means of small data sets, mathematical toy models, order of magnitude estimates, image analysis and visualization, small simulation examples, etc. The presentation part comprises short presentations (about 15 min) based on selected papers in the subject.

First practical experience with modern methods measuring snow properties can be acquired in a field excursion.
Lecture notesLecture notes and selected publications.
Prerequisites / NoticeWe strongly recommend the field excursion to Davos on Saturday, March 14, 2020, in Davos. We will demonstrate traditional and modern field-techniques (snow profile, Near-infrared photography, SnowMicroPen) and you will have the chance to use the instruments yourself. The excursion includes a visit of the SLF cold laboratories with the micro-tomography setup and the snowmaker.
Selection: Mathematics
NumberTitleTypeECTSHoursLecturers
401-3532-08LDifferential Geometry II Information W10 credits4V + 1UU. Lang
AbstractIntroduction to Riemannian geometry in combination with some elements of modern metric geometry. Contents: Riemannian manifolds, Levi-Civita connection, geodesics, Hopf-Rinow Theorem, curvature, second fundamental form, Riemannian submersions and coverings, Hadamard-Cartan Theorem, triangle and volume comparison, relations between curvature and topology, spaces of Riemannian manifolds.
ObjectiveLearn the basics of Riemannian geometry and some elements of modern metric geometry.
Literature- M. P. do Carmo, Riemannian Geometry, Birkhäuser 1992
- S. Gallot, D. Hulin, J. Lafontaine, Riemannian Geometry, Springer 2004
- B. O'Neill, Semi-Riemannian Geometry, With Applications to Relativity, Academic Press 1983
Prerequisites / NoticePrerequisite is a working knowledge of elementary differential geometry (curves and surfaces in Euclidean space), differentiable manifolds, and differential forms.
401-3462-00LFunctional Analysis II Information W10 credits4V + 1UM. Struwe
AbstractSobolev spaces, weak solutions of elliptic boundary value problems, elliptic regularity
ObjectiveAcquiring the methods for solving elliptic boundary value problems, Sobolev spaces, Schauder estimates
Lecture notesFunktionalanalysis II, Michael Struwe
LiteratureFunktionalanalysis II, Michael Struwe

Functional Analysis, Spectral Theory and Applications.
Manfred Einsiedler and Thomas Ward, GTM Springer 2017
Prerequisites / NoticeFunctional Analysis I and a solid background in measure theory, Lebesgue integration and L^p spaces.
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
W10 credits2G + 2U + 2P + 4AR. Hiptmair
AbstractDerivation, properties, and implementation of fundamental numerical methods for a few key partial differential equations: convection-diffusion, heat equation, wave equation, conservation laws. Implementation in C++ based on a finite element library.
ObjectiveMain skills to be acquired in this course:
* Ability to implement fundamental numerical methods for the solution of partial differential equations efficiently.
* Ability to modify and adapt numerical algorithms guided by awareness of their mathematical foundations.
* Ability to select and assess numerical methods in light of the predictions of theory
* Ability to identify features of a PDE (= partial differential equation) based model that are relevant for the selection and performance of a numerical algorithm.
* Ability to understand research publications on theoretical and practical aspects of numerical methods for partial differential equations.
* Skills in the efficient implementation of finite element methods on unstructured meshes.

This course is neither a course on the mathematical foundations and numerical analysis of methods nor an course that merely teaches recipes and how to apply software packages.
Content1 Second-Order Scalar Elliptic Boundary Value Problems
1.2 Equilibrium Models: Examples
1.3 Sobolev spaces
1.4 Linear Variational Problems
1.5 Equilibrium Models: Boundary Value Problems
1.6 Diffusion Models (Stationary Heat Conduction)
1.7 Boundary Conditions
1.8 Second-Order Elliptic Variational Problems
1.9 Essential and Natural Boundary Conditions
2 Finite Element Methods (FEM)
2.2 Principles of Galerkin Discretization
2.3 Case Study: Linear FEM for Two-Point Boundary Value Problems
2.4 Case Study: Triangular Linear FEM in Two Dimensions
2.5 Building Blocks of General Finite Element Methods
2.6 Lagrangian Finite Element Methods
2.7 Implementation of Finite Element Methods
2.7.1 Mesh Generation and Mesh File Format
2.7.2 Mesh Information and Mesh Data Structures
2.7.2.1 L EHR FEM++ Mesh: Container Layer
2.7.2.2 L EHR FEM++ Mesh: Topology Layer
2.7.2.3 L EHR FEM++ Mesh: Geometry Layer
2.7.3 Vectors and Matrices
2.7.4 Assembly Algorithms
2.7.4.1 Assembly: Localization
2.7.4.2 Assembly: Index Mappings
2.7.4.3 Distribute Assembly Schemes
2.7.4.4 Assembly: Linear Algebra Perspective
2.7.5 Local Computations
2.7.5.1 Analytic Formulas for Entries of Element Matrices
2.7.5.2 Local Quadrature
2.7.6 Treatment of Essential Boundary Conditions
2.8 Parametric Finite Element Methods
3 FEM: Convergence and Accuracy
3.1 Abstract Galerkin Error Estimates
3.2 Empirical (Asymptotic) Convergence of Lagrangian FEM
3.3 A Priori (Asymptotic) Finite Element Error Estimates
3.4 Elliptic Regularity Theory
3.5 Variational Crimes
3.6 FEM: Duality Techniques for Error Estimation
3.7 Discrete Maximum Principle
3.8 Validation and Debugging of Finite Element Codes
4 Beyond FEM: Alternative Discretizations [dropped]
5 Non-Linear Elliptic Boundary Value Problems [dropped]
6 Second-Order Linear Evolution Problems
6.1 Time-Dependent Boundary Value Problems
6.2 Parabolic Initial-Boundary Value Problems
6.3 Linear Wave Equations
7 Convection-Diffusion Problems [dropped]
8 Numerical Methods for Conservation Laws
8.1 Conservation Laws: Examples
8.2 Scalar Conservation Laws in 1D
8.3 Conservative Finite Volume (FV) Discretization
8.4 Timestepping for Finite-Volume Methods
8.5 Higher-Order Conservative Finite-Volume Schemes
Lecture notesThe lecture will be taught in flipped classroom format:
- Video tutorials for all thematic units will be published online.
- Tablet notes accompanying the videos will be made available to the audience as PDF.
- A comprehensive lecture document will cover all aspects of the course.
LiteratureChapters of the following books provide supplementary reading
(detailed references in course material):

* D. Braess: Finite Elemente,
Theorie, schnelle Löser und Anwendungen in der Elastizitätstheorie, Springer 2007 (available online).
* S. Brenner and R. Scott. Mathematical theory of finite element methods, Springer 2008 (available online).
* A. Ern and J.-L. Guermond. Theory and Practice of Finite Elements, volume 159 of Applied Mathematical Sciences. Springer, New York, 2004.
* Ch. Großmann and H.-G. Roos: Numerical Treatment of Partial Differential Equations, Springer 2007.
* W. Hackbusch. Elliptic Differential Equations. Theory and Numerical Treatment, volume 18 of Springer Series in Computational Mathematics. Springer, Berlin, 1992.
* P. Knabner and L. Angermann. Numerical Methods for Elliptic and Parabolic Partial Differential Equations, volume 44 of Texts in Applied Mathematics. Springer, Heidelberg, 2003.
* S. Larsson and V. Thomée. Partial Differential Equations with Numerical Methods, volume 45 of Texts in Applied Mathematics. Springer, Heidelberg, 2003.
* R. LeVeque. Finite Volume Methods for Hyperbolic Problems. Cambridge Texts in Applied Mathematics. Cambridge University Press, Cambridge, UK, 2002.

However, study of supplementary literature is not important for for following the course.
Prerequisites / NoticeMastery of basic calculus and linear algebra is taken for granted.
Familiarity with fundamental numerical methods (solution methods for linear systems of equations, interpolation, approximation, numerical quadrature, numerical integration of ODEs) is essential.

Important: Coding skills and experience in C++ are essential.

Homework assignments involve substantial coding, partly based on a C++ finite element library. The written examination will be computer based and will comprise coding tasks.
Selection: Electives at the University of Zurich
University of Zurich lecturers explicitly recommended the following courses also to physics students at ETH Zurich.
Recognition of the corresponding external ECTS credits has to be granted by the Director of Studies. Submit your request to the Study Administration (Link).
NumberTitleTypeECTSHoursLecturers
402-0752-00LExperimental Astro Particle Physics (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: PHY465

Mind the enrolment deadlines at UZH:
Link
W6 credits2V + 2UUniversity lecturers
Abstract
Objective
402-0770-00LPhysics with Muons: From Atomic to Solid State Physics (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: PHY432

Mind the enrolment deadlines at UZH:
Link
W6 credits2V + 1UUniversity lecturers
AbstractIntroduction and overview of muon science. Particularly, the use of polarized muons as microscopic magnetic probes in condensed matter physics will be presented (Muon spin rotation and relaxation techniques, muSR). Examples of recent research results in magnetism, superconductivity, semiconductors, thin film and heterostructures.
ObjectiveBasic understanding of the use of muons as microscopic magnetic micro probes of matter. Theory and examples of muon spin precession and relaxation (muSR) in various materials. Selected examples in magnetism, superconductivity, semiconductor physics and investigations of heterostructures. Determination of fundamental constants and atomic spectroscopy with muons. The lecture is a useful introduction for people interested in a Bachelor/Master thesis in muSR research at the Paul Scherrer Institute.
ContentIntroduction: Muon characteristics. Generation of muon beams
Particle physics aspects: Muon decay, measurement of the muon magnetic anomaly
Hyperfine interaction, muonium spectroscopy
Fundamentals of muon spin rotation/relaxation and resonance.
Static and dynamic spin relaxation.
Applications in magnetism: local magnetic fields, phase transitions, spin-glass dynamics.
Applications in superconductivity: determination of magnetic penetration depths and coherence length, phase diagram of HTc superconductors, dynamics of the vortex state
Hydrogen states in semiconductors
Thin film and surface studies with low energy muons.
Lecture notesLecture notes in English are distributed at the beginning.
see also Link
LiteratureLink
Prerequisites / NoticeLecture can also be given in English.
General Electives
Students may choose General Electives from the entire course programme of ETH Zurich - with the following restrictions: courses that belong to the first or second year of a Bachelor curriculum at ETH Zurich as well as courses from GESS "Science in Perspective" are not eligible here.
The following courses are explicitly recommended to physics students by their lecturers. (Courses in this list may be assigned to the category "General Electives" directly in myStudies. For the category assignment of other eligible courses keep the choice "no category" and take contact with the Study Administration (Link) after having received the credits.)
NumberTitleTypeECTSHoursLecturers
227-1046-00LComputer Simulations of Sensory Systems Information
Does not take place this semester.
W3 credits3G
AbstractThis course deals with computer simulations of the human auditory, visual, and balance system. The lecture will cover the physiological and mechanical mechanisms of these sensory systems. And in the exercises, the simulations will be implemented with Python. The simulations will be such that their output could be used as input for actual neuro-sensory prostheses.
ObjectiveOur sensory systems provide us with information about what is happening in the world surrounding us. Thereby they transform incoming mechanical, electromagnetic, and chemical signals into “action potentials”, the language of the central nervous system.
The main goal of this lecture is to describe how our sensors achieve these transformations, how they can be reproduced with computational tools. For example, our auditory system performs approximately a “Fourier transformation” of the incoming sound waves; our early visual system is optimized for finding edges in images that are projected onto our retina; and our balance system can be well described with a “control system” that transforms linear and rotational movements into nerve impulses.
In the exercises that go with this lecture, we will use Python to reproduce the transformations achieved by our sensory systems. The goal is to write programs whose output could be used as input for actual neurosensory prostheses: such prostheses have become commonplace for the auditory system, and are under development for the visual and the balance system. For the corresponding exercises, at least some basic programing experience is required!!
ContentThe following topics will be covered:
• Introduction into the signal processing in nerve cells.
• Introduction into Python.
• Simplified simulation of nerve cells (Hodgkins-Huxley model).
• Description of the auditory system, including the application of Fourier transforms on recorded sounds.
• Description of the visual system, including the retina and the information processing in the visual cortex. The corresponding exercises will provide an introduction to digital image processing.
• Description of the mechanics of our balance system, and the “Control System”-language that can be used for an efficient description of the corresponding signal processing (essentially Laplace transforms and control systems).
Lecture notesFor each module additional material will be provided on the e-learning platform "moodle". The main content of the lecture is also available as a wikibook, under Link
LiteratureOpen source information is available as wikibook Link

For good overviews I recommend:

• Principles of Neural Science (5th Ed, 2012), by Eric Kandel, James Schwartz, Thomas Jessell, Steven Siegelbaum, A.J. Hudspeth
ISBN 0071390111 / 9780071390118
THE standard textbook on neuroscience.

• L. R. Squire, D. Berg, F. E. Bloom, Lac S. du, A. Ghosh, and N. C. Spitzer. Fundamental Neuroscience, Academic Press - Elsevier, 2012 [ISBN: 9780123858702].
This book covers the biological components, from the functioning of an individual ion channels through the various senses, all the way to consciousness. And while it does not cover the computational aspects, it nevertheless provides an excellent overview of the underlying neural processes of sensory systems.

• G. Mather. Foundations of Sensation and Perception, 2nd Ed Psychology Press, 2009 [ISBN: 978-1-84169-698-0 (hardcover), oder 978-1-84169-699-7 (paperback)]
A coherent, up-to-date introduction to the basic facts and theories concerning human sensory perception.

• The best place to get started with Python programming are the Link
Prerequisites / Notice• Since I have to gravel from Linz, Austria, to Zurich to give this lecture, I plan to hold this lecture in blocks (every 2nd week).
• In addition to the lectures, this course includes external lab visits to institutes actively involved in research on the relevant sensory systems.
465-0952-00LBiomedical Photonics
Does not take place this semester.
W3 credits2V
AbstractThe lecture introduces the principles of generation, propagation and detection of light and its therapeutic and diagnostic application in medicine.
ObjectiveThe lecture provides knowledge about light sources and light delivery systems, optical biomedical imaging techniques, optical measurement technologies and their specific applications in medicine. Fundamental principles will be accompanied by practical and contemporary examples. Different selected optical systems used in diagnostics and therapy will be discussed.
ContentOptics always was strongly connected to the observation and interpretation of physiological phenomenon. The basic knowledge of optics for example was initially gained by studying the function of the human eye. Nowadays, biomedical optics is an independent research field that is no longer restricted to the observation of physiological processes but studies diagnostic and therapeutic problems in medicine. A basic prerequisite for applying optical techniques in medicine is the understanding of the physical properties of light, the light propagation in and its interaction with tissue. The lecture gives inside into the generation, propagation and detection of light, its propagation in tissue and into selected optical applications in medicine. Various optical imaging techniques (optical coherence tomography or optoacoustics) as well as therapeutic laser applications (refractive surgery, photodynamic therapy or nanosurgery) will be discussed.
Lecture noteswill be provided via Internet (Ilias)
Literature- M. Born, E. Wolf, "Principles of Optics", Pergamon Press
- B.E.A. Saleh, M.C. Teich, "Fundamentals of Photonics", John Wiley and Sons, Inc.
- O. Svelto, "Principles of Lasers", Plenum Press
- J. Eichler, T. Seiler, "Lasertechnik in der Medizin", Springer Verlag
- M.H. Niemz, "Laser-Tissue Interaction", Springer Verlag
- A.J. Welch, M.J.C. van Gemert, "Optical-thermal response of laser-irradiated tissue", Plenum Press
Prerequisites / NoticeLanguage of instruction: English
This is the same course unit (465-0952-00L) with former course title "Medical Optics".
151-0160-00LNuclear Energy SystemsW4 credits2V + 1UH.‑M. Prasser, P. Burgherr, I. Günther-Leopold, W. Hummel, T. Kämpfer, T. Kober, X. Zhang
AbstractNuclear energy and sustainability, uranium production, uranium enrichment, nuclear fuel production, reprocessing of spent fuel, nuclear waste disposal, Life Cycle Analysis, energy and materials balance of Nuclear Power Plants.
ObjectiveStudents get an overview on the physical and chemical fundamentals, the technological processes and the environmental impact of the full energy conversion chain of nuclear power generation. The are enabled to assess to potentials and risks arising from embedding nuclear power in a complex energy system.
Content(1) survey on the cosmic and geological origin of uranium, methods of uranium mining, separation of uranium from the ore, (2) enrichment of uranium (diffusion cells, ultra-centrifuges, alternative methods), chemical conversion uranium oxid - fluorid - oxid, fuel rod fabrication processes, (3) fuel reprocessing (hydrochemical, pyrochemical) including modern developments of deep partitioning as well as methods to treat and minimize the amount and radiotoxicity of nuclear waste. (4) nuclear waste disposal, waste categories and origin, geological and engineered barriers in deep geological repositories, the project of a deep geological disposal for radioactive waste in Switzerland, (5) methods to measure the sustainability of energy systems, comparison of nuclear energy with other energy sources, environmental impact of the nuclear energy system as a whole, including the question of CO2 emissions, CO2 reduction costs, radioactive releases from the power plant, the fuel chain and the final disposal. The material balance of different fuel cycles with thermal and fast reactors isdiscussed.
Lecture notesLecture slides will be distributed as handouts and in digital form
151-0156-00LSafety of Nuclear Power Plants Information W4 credits2V + 1UH.‑M. Prasser, V. Dang, L. Podofillini
AbstractKnowledge about safety concepts and requirements of nuclear power plants and their implementation in deterministic safety concepts and safety systems. Knowledge about behavior under accident conditions and about the methods of probabilistic risk analysis and how to handle results. Introduction into key elements of the enhanced safety of nuclear systems for the future.
ObjectiveDeep understanding of safety requirements, concepts and system of nuclear power plants, knowledge of deterministic and probabilistic methods for safety analysis, aspects of nuclear safety research, licensing of nuclear power plant operation. Overview on key elements of the enhanced safety of nuclear systems for the future.
Content(1) Introduction into the specific safety issues of nuclear power plants, main facts of health effects of ionizing radiation, defense in depth approach. (2) Reactor protection and reactivity control, reactivity induced accidents (RIA). (3) Loss-of-coolant accidents (LOCA), emergency core cooling systems. (4) Short introduction into severe accidents (Beyond Design Base Accidents, BDBA). (5) Probabilistic risk analysis (PRA level 1,2,3). (6) Passive safety systems. (7) Safety of innovative reactor concepts.
Lecture notesScript:
Hand-outs of lecture slides will be distributed
Audio recording of lectures will be provided
Script "Short introduction into basics of nuclear power"
LiteratureS. Glasston & A. Sesonke: Nuclear Reactor Engineering, Reactor System Engineering, Ed. 4, Vol. 2., Chapman & Hall, NY, 1994
Prerequisites / NoticePrerequisites:
Recommended in advance (not binding): 151-0163-00L Nuclear Energy Conversion
151-0166-00LPhysics of Nuclear Reactor IIW4 credits3GS. Pelloni, K. Mikityuk, A. Pautz
AbstractReactor physics calculations for assessing the performance and safety of nuclear power plants are, in practice, carried out using large computer codes simulating different key phenomena. This course provides a basis for understanding state-of-the-art calculational methodologies in the above context.
ObjectiveStudents are introduced to advanced methods of reactor physics analysis for nuclear power plants.
ContentCross-sections preparation. Slowing down theory. Differential form of the neutron transport equation and method of discrete ordinates (Sn). Integral form of the neutron transport equation and method of characteristics. Method of Monte-Carlo. Modeling of fuel depletion. Lattice calculations and cross-section parametrization. Modeling of full core neutronics using nodal methods. Modeling of feedbacks from fuel behavior and thermal hydraulics. Point and spatial reactor kinetics. Uncertainty and sensitivity analysis.
Lecture notesHand-outs will be provided on the website.
LiteratureChapters from various text books on Reactor Theory, etc.
151-2016-00LRadiation Imaging for Industrial ApplicationsW4 credits2V + 1UH.‑M. Prasser, R. Adams
AbstractThe course gives an overview of the physics and practical principles of imaging techniques using ionizing radiation such as X-rays, gamma photons, and neutrons in the context of various industrial (non-medical) challenges. This includes the interaction of radiation with matter, parameters affecting imaging performance, source and detector technology, image processing, and tomographic techniques.
ObjectiveUnderstanding of the principles and applicability of various radiation-based imaging techniques including radiography and tomography to various industrial challenges.
Contentprinciples of radiation imaging; physics of interaction of radiation with matter (X-ray, gamma, neutron); X-ray source physics and technology; neutron source physics and technology; radiation detection principles; radiation detection as applied to imaging; radiography (image quality parameters, image processing); computed tomography (image reconstruction techniques, artifacts, image processing); overview of more exotic techniques (e.g. dual modality, fast neutrons, time of flight); general industrial applications, security applications; special issues in dynamic imaging and example applications; PET/PEPT imaging; nuclear energy applications
Lecture notesLecture slides will be provided, as well as references for further reading
Literature- Wang, Industrial Tomography: Systems and Applications
- Knoll, Radiation Detection and Measurement
- Kak & Slaney, Principles of Computerized Tomographic Imaging
Prerequisites / NoticeRecommended courses (not binding): 151-0163-00L Nuclear Energy Conversion, 151-2035-00L, Radiobiology and Radiation Protection, 151-0123-00L, Experimental Methods for Engineers, MATLAB skills for exercises.
151-1906-00LMultiphase FlowW4 credits3GH.‑M. Prasser
AbstractBasics in multiphase flow systems,, mainly gas-liquid, is presented in this course. An introduction summarizes the characteristics of multi phase flows, some theoretical models are discussed. Following we focus on pipe flow, film and bubbly/droplet flow. Finally specific measuring methods are shown and a summary of the CFD models for multiphases is presented.
ObjectiveThis course contributes to a deep understanding of complex multiphase systems and allows to predict multiphase conditions to design appropriate systems/apparatus. Actual examples and new developments are presented.
ContentThe course gives an overview on following subjects: Basics in multiphase systems, pipeflow, films, bubbles and bubble columns, droplets, measuring techniques, multiphase flow in microsystems, numerical procedures with multiphase flows.
Lecture notesLecturing notes are available (copy of slides or a german script) partly in english
LiteratureSpecial literature is recommended for each chapter.
Prerequisites / NoticeThe course builds on the basics in fluidmechanics.
151-0530-00LNonlinear Dynamics and Chaos IIW4 credits4GG. Haller
AbstractThe internal structure of chaos; Hamiltonian dynamical systems; Normally hyperbolic invariant manifolds; Geometric singular perturbation theory; Finite-time dynamical systems
ObjectiveThe course introduces the student to advanced, comtemporary concepts of nonlinear dynamical systems analysis.
ContentI. The internal structure of chaos: symbolic dynamics, Bernoulli shift map, sub-shifts of finite type; chaos is numerical iterations.

II.Hamiltonian dynamical systems: conservation and recurrence, stability of fixed points, integrable systems, invariant tori, Liouville-Arnold-Jost Theorem, KAM theory.

III. Normally hyperbolic invariant manifolds: Crash course on differentiable manifolds, existence, persistence, and smoothness, applications.
IV. Geometric singular perturbation theory: slow manifolds and their stability, physical examples. V. Finite-time dynamical system; detecting Invariant manifolds and coherent structures in finite-time flows
Lecture notesStudents have to prepare their own lecture notes
LiteratureBooks will be recommended in class
Prerequisites / NoticeNonlinear Dynamics I (151-0532-00) or equivalent
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 credits4GP. Koumoutsakos, S. M. Martin
AbstractThis course focuses on programming methods and tools for parallel computing on multi and many-core architectures. Emphasis will be placed on practical and computational aspects of Uncertainty Quantification and Propagation including the implementation of relevant algorithms on HPC architectures.
ObjectiveThe course will teach
- programming models and tools for multi and many-core architectures
- fundamental concepts of Uncertainty Quantification and Propagation (UQ+P) for computational models of systems in Engineering and Life Sciences
ContentHigh Performance Computing:
- Advanced topics in shared-memory programming
- Advanced topics in MPI
- GPU architectures and CUDA programming

Uncertainty Quantification:
- Uncertainty quantification under parametric and non-parametric modeling uncertainty
- Bayesian inference with model class assessment
- Markov Chain Monte Carlo simulation
Lecture notesLink
Class notes, handouts
Literature- Class notes
- Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein
- CUDA by example, J. Sanders and E. Kandrot
- Data Analysis: A Bayesian Tutorial, D. Sivia and J. Skilling
- An introduction to Bayesian Analysis - Theory and Methods, J. Gosh, N. Delampady and S. Tapas
- Bayesian Data Analysis, A. Gelman, J. Carlin, H. Stern, D. Dunson, A. Vehtari and D. Rubin
- Machine Learning: A Bayesian and Optimization Perspective, S. Theodorides
Prerequisites / NoticeStudents must be familiar with the content of High Performance Computing for Science and Engineering I (151-0107-20L)
327-2222-00LSoft Materials: from Fundamentals to Applications Information
Does not take place this semester.
W3 credits2V + 1UL. Isa
AbstractThis course consists of a series of lectures, each focusing on a specific fundamental concept previously encountered by the student during basic courses, and on its direct relevance for soft materials and their applications (e.g. colloidal crystals, dense suspensions, emulsions, foams and liquid crystals).
ObjectiveSoft materials, such as complex fluids, polymers, liquid crystals, foams etc. are of paramount importance in many technological applications and consumer products. Additionally, they also work as "open laboratories", where basic phenomena, normally studied at the atomic or molecular length and time scales, can be easily and directly observed at the micro and nanoscale.
The aim of this course is to offer the student the possibility to connect fundamental concepts (e.g. entropy or thermodynamic equilibrium), which too often stay as abstract constructions, to direct examples of soft materials. At the end of the course the student will have acquired advanced knowledge of soft matter systems and strengthened his/her background in basic physics and physical chemistry.
ContentEach lecture will be divided into two parts. In the first part a specific concept will be introduced and discussed. In the second part the implications for soft materials will be presented, often with practical demonstration in the class.
Examples are:
- Entropy and phase transitions; application to colloidal crystals.
- Thermodynamics versus kinetics; application to Pickering emulsions.
- Excluded volume; application to liquid crystals.
The detailed series will be presented at the beginning of the course.
Lecture notesNotes will be handed out during the lectures and published online before each lecture.
LiteratureProvided in the lecture notes.
Prerequisites / NoticePre-existing notions of physics, thermodynamics, physical chemistry and statistical mechanics are necessary
227-0161-00LMolecular and Materials Modelling Information W4 credits2V + 2UD. Passerone, C. Pignedoli
AbstractThe course introduces the basic techniques to interpret experiments with contemporary atomistic simulation, including force fields or ab initio based molecular dynamics and Monte Carlo. Structural and electronic properties will be simulated hands-on for realistic systems.
The modern methods of "big data" analysis applied to the screening of chemical structures will be introduced with examples.
ObjectiveThe ability to select a suitable atomistic approach to model a nanoscale system, and to employ a simulation package to compute quantities providing a theoretically sound explanation of a given experiment. This includes knowledge of empirical force fields and insight in electronic structure theory, in particular density functional theory (DFT). Understanding the advantages of Monte Carlo and molecular dynamics (MD), and how these simulation methods can be used to compute various static and dynamic material properties. Basic understanding on how to simulate different spectroscopies (IR, X-ray, UV/VIS). Performing a basic computational experiment: interpreting the experimental input, choosing theory level and model approximations, performing the calculations, collecting and representing the results, discussing the comparison to the experiment.
Content-Classical force fields in molecular and condensed phase systems
-Methods for finding stationary states in a potential energy surface
-Monte Carlo techniques applied to nanoscience
-Classical molecular dynamics: extracting quantities and relating to experimentally accessible properties
-From molecular orbital theory to quantum chemistry: chemical reactions
-Condensed phase systems: from periodicity to band structure
-Larger scale systems and their electronic properties: density functional theory and its approximations
-Advanced molecular dynamics: Correlation functions and extracting free energies
-The use of Smooth Overlap of Atomic Positions (SOAP) descriptors in the evaluation of the (dis)similarity of crystalline, disordered and molecular compounds
Lecture notesA script will be made available and complemented by literature references.
LiteratureD. Frenkel and B. Smit, Understanding Molecular Simulations, Academic Press, 2002.

M. P. Allen and D.J. Tildesley, Computer Simulations of Liquids, Oxford University Press 1990.

C. J. Cramer, Essentials of Computational Chemistry. Theories and Models, Wiley 2004

G. L. Miessler, P. J. Fischer, and Donald A. Tarr, Inorganic Chemistry, Pearson 2014.

K. Huang, Statistical Mechanics, Wiley, 1987.

N. W. Ashcroft, N. D. Mermin, Solid State Physics, Saunders College 1976.

E. Kaxiras, Atomic and Electronic Structure of Solids, Cambridge University Press 2010.
529-0442-00LAdvanced Kinetics Information W6 credits3GJ. Richardson
AbstractThis lecture covers the theoretical and conceptual foundations of quantum dynamics in molecular systems. Particular attention is taken to derive and compare quantum and classical approximations which can be used to simulate the dynamics of molecular systems and the reaction rate constant used in chemical kinetics.
ObjectiveThe theory of quantum dynamics is derived from the time-dependent Schrödinger equation. This is illustrated with molecular examples including tunnelling, recurrences, nonadiabatic crossings. We consider thermal distributions, correlation functions, interaction with light and nonadiabatic effects. Quantum scattering theory is introduced and applied to discuss molecular collisions. The dynamics of systems with a very large number of quantum states are discussed to understand the transition from microscopic to macroscopic dynamics. A rigorous rate theory is obtained both from a quantum-mechanical picture as well as within the classical approximation. The approximations leading to conventional transition-state theory for polyatomic reactions are discussed. In this way, relaxation and irreversibility will be explained which are at the foundation of statistical mechanics.

By the end of the course, the student will have learned many ways to simplify the complex problem posed by quantum dynamics. They will understand when and why certain approximations are valid in different situations and will use this to make quantitative and qualitative predictions about how different molecular systems behave.
Lecture notesWill be available online.
LiteratureD. J. Tannor, Introduction to Quantum Mechanics: A Time-Dependent Perspective
R. D. Levine, Molecular Reaction Dynamics
S. Mukamel, Principles of Nonlinear Optical Spectroscopy
Prerequisites / Notice529-0422-00L Physical Chemistry II: Chemical Reaction Dynamics
529-0434-00LPhysical Chemistry V: Spectroscopy Information W4 credits3GH. J. Wörner
AbstractAbsorption and scattering of electromagnetic radiation; transition probabilities, rate equations; Einstein coefficients and lasers; selection rules and symmetry; band shape, energy transfer, and broadening mechanisms; atomic spectroscopy; molecular spectroscopy: vibration and rotation; spectroscopy of clusters, nanoparticles and condensed phases
ObjectiveThe lecture is devoted to atomic, molecular, and condensed phase spectroscopy treating both theoretical and experimental aspects. The focus is on the interaction between electromagnetic radiation and matter.
ContentAbsorption and scattering of electromagnetic radiation; transition probabilities, rate equations; Einstein coefficients and lasers; selection rules and symmetry; band shape, energy transfer, and broadening mechanisms; atomic spectroscopy; molecular spectroscopy: vibration and rotation; spectroscopy of clusters, nanoparticles and condensed phases
Lecture notesis partly available
529-0440-00LPhysical Electrochemistry and ElectrocatalysisW6 credits3GT. Schmidt
AbstractFundamentals of electrochemistry, electrochemical electron transfer, electrochemical processes, electrochemical kinetics, electrocatalysis, surface electrochemistry, electrochemical energy conversion processes and introduction into the technologies (e.g., fuel cell, electrolysis), electrochemical methods (e.g., voltammetry, impedance spectroscopy), mass transport.
ObjectiveProviding an overview and in-depth understanding of Fundamentals of electrochemistry, electrochemical electron transfer, electrochemical processes, electrochemical kinetics, electrocatalysis, surface electrochemistry, electrochemical energy conversion processes (fuel cell, electrolysis), electrochemical methods and mass transport during electrochemical reactions. The students will learn about the importance of electrochemical kinetics and its relation to industrial electrochemical processes and in the energy seactor.
ContentReview of electrochemical thermodynamics, description electrochemical kinetics, Butler-Volmer equation, Tafel kinetics, simple electrochemical reactions, electron transfer, Marcus Theory, fundamentals of electrocatalysis, elementary reaction processes, rate-determining steps in electrochemical reactions, practical examples and applications specifically for electrochemical energy conversion processes, introduction to electrochemical methods, mass transport in electrochemical systems. Introduction to fuel cells and electrolysis
Lecture notesWill be handed out during the Semester
LiteraturePhysical Electrochemistry, E. Gileadi, Wiley VCH
Electrochemical Methods, A. Bard/L. Faulkner, Wiley-VCH
Modern Electrochemistry 2A - Fundamentals of Electrodics, J. Bockris, A. Reddy, M. Gamboa-Aldeco, Kluwer Academic/Plenum Publishers
227-0948-00LMagnetic Resonance Imaging in MedicineW4 credits3GS. Kozerke, M. Weiger Senften
AbstractIntroduction to magnetic resonance imaging and spectroscopy, encoding and contrast mechanisms and their application in medicine.
ObjectiveUnderstand the basic principles of signal generation, image encoding and decoding, contrast manipulation and the application thereof to assess anatomical and functional information in-vivo.
ContentIntroduction to magnetic resonance imaging including basic phenomena of nuclear magnetic resonance; 2- and 3-dimensional imaging procedures; fast and parallel imaging techniques; image reconstruction; pulse sequences and image contrast manipulation; equipment; advanced techniques for identifying activated brain areas; perfusion and flow; diffusion tensor imaging and fiber tracking; contrast agents; localized magnetic resonance spectroscopy and spectroscopic imaging; diagnostic applications and applications in research.
Lecture notesD. Meier, P. Boesiger, S. Kozerke
Magnetic Resonance Imaging and Spectroscopy
227-0384-00LUltrasound Fundamentals, Imaging, and Medical Applications
Course is offered for the last time in Spring Semester 2020.
W4 credits3GO. Göksel
AbstractUltrasound is the only imaging modality that is nonionizing (safe), real-time, cost-effective, and portable, with many medical uses in diagnosis, intervention guidance, surgical navigation, and as a therapeutic option. In this course, we introduce conventional and prospective applications of ultrasound, starting with the fundamentals of ultrasound physics and imaging.
ObjectiveStudents can use the fundamentals of ultrasound, to analyze and evaluate ultrasound imaging techniques and applications, in particular in the field of medicine, as well as to design and implement basic applications.
ContentUltrasound is used in wide range of products, from car parking sensors, to assessing fault lines in tram wheels. Medical imaging is the eye of the doctor into body; and ultrasound is the only imaging modality that is nonionizing (safe), real-time, cheap, and portable. Some of its medical uses include diagnosing breast and prostate cancer, guiding needle insertions/biopsies, screening for fetal anomalies, and monitoring cardiac arrhythmias. Ultrasound physically interacts with the tissue, and thus can also be used therapeutically, e.g., to deliver heat to treat tumors, break kidney stones, and targeted drug delivery. Recent years have seen several novel ultrasound techniques and applications – with many more waiting in the horizon to be discovered.

This course covers ultrasonic equipment, physics of wave propagation, numerical methods for its simulation, image generation, beamforming (basic delay-and-sum and advanced methods), transducers (phased-, linear-, convex-arrays), near- and far-field effect, imaging modes (e.g., A-, M-, B-mode), Doppler and harmonic imaging, ultrasound signal processing techniques (e.g., filtering, time-gain-compensation, displacement tracking), image analysis techniques (deconvolution, real-time processing, tracking, segmentation, computer-assisted interventions), acoustic-radiation force, plane-wave imaging, contrast agents, micro-bubbles, elastography, biomechanical characterization, high-intensity focused ultrasound and therapy, lithotripsy, histotripsy, photo-acoustics phenomenon and opto-acoustic imaging, as well as sample non-medical applications such as the basics of non-destructive testing (NDT).

Hands-on exercises: These will help to apply the concepts learned in the course, using simulation environments (such as Matlab k-Wave and FieldII toolboxes). The exercises will involve a mix of design, implementation, and evaluation examples commonly encountered in practical applications.

Project: Current and relevant applications in the field of ultrasound are offered as project topics. Projects will be carried out throughout the course, where the project reporting and presentations will be due towards the end of the semester. These will be part of the assessment in grading.
Prerequisites / NoticePrerequisites: Familiarity with basic numerical methods.
Basic programming skills in Matlab.
227-0303-00LAdvanced PhotonicsW6 credits2V + 2U + 1AA. Emboras, M. Burla, A. Dorodnyy
AbstractThe lecture gives a comprehensive insight into various types of nano-scale photonic devices, physical fundamentals of their operation, and an overview of the micro/nano-fabrication technologies. Following applications of nano-scale photonic structures are discussed in details: detectors, photovoltaic cells, atomic/ionic opto-electronic devices and integrated microwave photonics.
ObjectiveGeneral training in advanced photonic devices with an in-depth understanding of the fundamentals of theory, fabrication, and characterization. Hands-on experience with photonic and optoelectronic device technologies and theory. The students will learn about the importance of advanced photonic devices in energy, communications, digital and neuromorphic computing applications.
ContentThe following topics will be addressed:
• Photovoltaics: basic thermodynamic principles and fundamental efficiency limitations, physics of semiconductor solar cell, overview of existing solar cell concepts and underlying physical phenomena.
• Micro/nano-fabrication technologies for advanced optoelectronic devices: introduction and device examples.
• Comprehensive insight into the physical mechanisms that govern ionic-atomic devices, present the techniques required to fabricate ultra-scaled nanostructures and show some applications in digital and neuromorphic computing.
• Introduction to microwave photonics (MWP), microwave photonic links, photonic techniques for microwave signal generation and processing.
Lecture notesThe presentation and the lecture notes will be provided every week.
Literature“Atomic/Ionic Devices”:
• Resistive Switching: From Fundamentals of Nanoionic Redox Processes to Memristive Device Applications, Daniele Ielmini and Rainer Waser, Wiley-VCH
• Electrochemical Methods: Fundamentals and Applications, A. Bard and L. Faulkner, John Willey & Sons, Inc.

“Photovoltaics”:
• Prof. Peter Wurfel: Physics of Solar Cells, Wiley

“Micro and nano Fabrication”:
• Prof. H. Gatzen, Prof. Volker Saile, Prof. Juerg Leuthold: Micro and Nano Fabrication, Springer

“Microwave Photonics”:
• D. M. Pozar, Microwave Engineering. J. Wiley & Sons, New York, 2005.
• M. Burla, Advanced integrated optical beam forming networks for broadband phased array antenna systems. Enschede, The Netherlands, 2013. DOI: 10.3990/1.9789036507295
• C.H. Cox, Analog optical links: theory and practice. Cambridge University Press, 2006.
Prerequisites / NoticeBasic knowledge of semiconductor physics, physics of the electromagnetic filed and thermodynamics.
227-0390-00LElements of MicroscopyW4 credits3GM. Stampanoni, G. Csúcs, A. Sologubenko
AbstractThe lecture reviews the basics of microscopy by discussing wave propagation, diffraction phenomena and aberrations. It gives the basics of light microscopy, introducing fluorescence, wide-field, confocal and multiphoton imaging. It further covers 3D electron microscopy and 3D X-ray tomographic micro and nanoimaging.
ObjectiveSolid introduction to the basics of microscopy, either with visible light, electrons or X-rays.
ContentIt would be impossible to imagine any scientific activities without the help of microscopy. Nowadays, scientists can count on very powerful instruments that allow investigating sample down to the atomic level.
The lecture includes a general introduction to the principles of microscopy, from wave physics to image formation. It provides the physical and engineering basics to understand visible light, electron and X-ray microscopy.
During selected exercises in the lab, several sophisticated instrument will be explained and their capabilities demonstrated.
LiteratureAvailable Online.
227-0396-00LEXCITE Interdisciplinary Summer School on Bio-Medical Imaging Restricted registration - show details
The school admits 60 MSc or PhD students with backgrounds in biology, chemistry, mathematics, physics, computer science or engineering based on a selection process.

Students have to apply for acceptance by April 20, 2020. To apply a curriculum vitae and an application letter need to be submitted. The notification of acceptance will be given by May 22, 2020. Further information can be found at: Link.
W4 credits6GS. Kozerke, G. Csúcs, J. Klohs-Füchtemeier, S. F. Noerrelykke, M. P. Wolf
AbstractTwo-week summer school organized by EXCITE (Center for EXperimental & Clinical Imaging TEchnologies Zurich) on biological and medical imaging. The course covers X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, infrared and optical microscopy, electron microscopy, image processing and analysis.
ObjectiveStudents understand basic concepts and implementations of biological and medical imaging. Based on relative advantages and limitations of each method they can identify preferred procedures and applications. Common foundations and conceptual differences of the methods can be explained.
ContentTwo-week summer school on biological and medical imaging. The course covers concepts and implementations of X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, infrared and optical microscopy and electron microscopy. Multi-modal and multi-scale imaging and supporting technologies such as image analysis and modeling are discussed. Dedicated modules for physical and life scientists taking into account the various backgrounds are offered.
Lecture notesHand-outs, Web links
Prerequisites / NoticeThe school admits 60 MSc or PhD students with backgrounds in biology, chemistry, mathematics, physics, computer science or engineering based on a selection process. To apply a curriculum vitae, a statement of purpose and applicants references need to be submitted. Further information can be found at: Link
227-0434-10LMathematics of Information Information W8 credits3V + 2U + 2AH. Bölcskei
AbstractThe class focuses on mathematical aspects of

1. Information science: Sampling theorems, frame theory, compressed sensing, sparsity, super-resolution, spectrum-blind sampling, subspace algorithms, dimensionality reduction

2. Learning theory: Approximation theory, uniform laws of large numbers, Rademacher complexity, Vapnik-Chervonenkis dimension
ObjectiveThe aim of the class is to familiarize the students with the most commonly used mathematical theories in data science, high-dimensional data analysis, and learning theory. The class consists of the lecture, exercise sessions with homework problems, and of a research project, which can be carried out either individually or in groups. The research project consists of either 1. software development for the solution of a practical signal processing or machine learning problem or 2. the analysis of a research paper or 3. a theoretical research problem of suitable complexity. Students are welcome to propose their own project at the beginning of the semester. The outcomes of all projects have to be presented to the entire class at the end of the semester.
ContentMathematics of Information

1. Signal representations: Frame theory, wavelets, Gabor expansions, sampling theorems, density theorems

2. Sparsity and compressed sensing: Sparse linear models, uncertainty relations in sparse signal recovery, matching pursuits, super-resolution, spectrum-blind sampling, subspace algorithms (MUSIC, ESPRIT, matrix pencil), estimation in the high-dimensional noisy case, Lasso

3. Dimensionality reduction: Random projections, the Johnson-Lindenstrauss Lemma

Mathematics of Learning

4. Approximation theory: Nonlinear approximation theory, fundamental limits on compressibility of signal classes, Kolmogorov-Tikhomirov epsilon-entropy of signal classes, optimal compression of signal classes, recovery from incomplete data, information-based complexity, curse of dimensionality

5. Uniform laws of large numbers: Rademacher complexity, Vapnik-Chervonenkis dimension, classes with polynomial discrimination, blessings of dimensionality
Lecture notesDetailed lecture notes will be provided at the beginning of the semester and as we go along.
Prerequisites / NoticeThis course is aimed at students with a background in basic linear algebra, analysis, statistics, and probability.

We encourage students who are interested in mathematical data science to take both this course and "401-4944-20L Mathematics of Data Science" by Prof. A. Bandeira. The two courses are designed to be complementary.

H. Bölcskei and A. Bandeira
227-0159-00LSemiconductor Devices: Quantum Transport at the Nanoscale Information W6 credits2V + 2UM. Luisier, A. Emboras
AbstractThis class offers an introduction into quantum transport theory, a rigorous approach to electron transport at the nanoscale. It covers different topics such as bandstructure, Wave Function and Non-equilibrium Green's Function formalisms, and electron interactions with their environment. Matlab exercises accompany the lectures where students learn how to develop their own transport simulator.
ObjectiveThe continuous scaling of electronic devices has given rise to structures whose dimensions do not exceed a few atomic layers. At this size, electrons do not behave as particle any more, but as propagating waves and the classical representation of electron transport as the sum of drift-diffusion processes fails. The purpose of this class is to explore and understand the displacement of electrons through nanoscale device structures based on state-of-the-art quantum transport methods and to get familiar with the underlying equations by developing his own nanoelectronic device simulator.
ContentThe following topics will be addressed:
- Introduction to quantum transport modeling
- Bandstructure representation and effective mass approximation
- Open vs closed boundary conditions to the Schrödinger equation
- Comparison of the Wave Function and Non-equilibrium Green's Function formalisms as solution to the Schrödinger equation
- Self-consistent Schödinger-Poisson simulations
- Quantum transport simulations of resonant tunneling diodes and quantum well nano-transistors
- Top-of-the-barrier simulation approach to nano-transistor
- Electron interactions with their environment (phonon, roughness, impurity,...)
- Multi-band transport models
Lecture notesLecture slides are distributed every week and can be found at
Link
LiteratureRecommended textbook: "Electronic Transport in Mesoscopic Systems", Supriyo Datta, Cambridge Studies in Semiconductor Physics and Microelectronic Engineering, 1997
Prerequisites / NoticeBasic knowledge of semiconductor device physics and quantum mechanics
227-0395-00LNeural SystemsW6 credits2V + 1U + 1AR. Hahnloser, M. F. Yanik, B. Grewe
AbstractThis course introduces principles of information processing in neural systems. It covers basic neuroscience for engineering students, experiment techniques used in animal research and methods for inferring neural mechanisms. Students learn about neural information processing and basic principles of natural intelligence and their impact on artificially intelligent systems.
ObjectiveThis course introduces
- Basic neurophysiology and mathematical descriptions of neurons
- Methods for dissecting animal behavior
- Neural recordings in intact nervous systems and information decoding principles
- Methods for manipulating the state and activity in selective neuron types
- Neuromodulatory systems and their computational roles
- Reward circuits and reinforcement learning
- Imaging methods for reconstructing the synaptic networks among neurons
- Birdsong and language
- Neurobiological principles for machine learning.
ContentFrom active membranes to propagation of action potentials. From synaptic physiology to synaptic learning rules. From receptive fields to neural population decoding. From fluorescence imaging to connectomics. Methods for reading and manipulation neural ensembles. From classical conditioning to reinforcement learning. From the visual system to deep convolutional networks. Brain architectures for learning and memory. From birdsong to computational linguistics.
Prerequisites / NoticeBefore taking this course, students are encouraged to complete "Bioelectronics and Biosensors" (227-0393-10L).

As part of the exercises for this class, students are expected to complete a programming or literature review project to be defined at the beginning of the semester.
363-0588-00LComplex Networks Information W4 credits2V + 1UF. Schweitzer, G. Casiraghi
AbstractThe course provides an overview of the methods and abstractions used in (i) the quantitative study of complex networks, (ii) empirical network analysis, (iii) the study of dynamical processes in networked systems, (iv) the analysis of robustness of networked systems, (v) the study of network evolution, and (vi) data mining techniques for networked data sets.
Objective* the network approach to complex systems, where actors are represented as nodes and interactions are represented as links
* learn about structural properties of classes of networks
* learn about feedback mechanism in the formation of networks
* learn about statistical inference and data mining techniques for data on networked systems
* learn methods and abstractions used in the growing literature on complex networks
ContentNetworks matter! This holds for social and economic systems, for technical infrastructures as well as for information systems. Increasingly, these networked systems are outside the control of a centralized authority but rather evolve in a distributed and self-organized way. How can we understand their evolution and what are the local processes that shape their global features? How does their topology influence dynamical processes like diffusion? And how can we characterize the importance of specific nodes?

This course provides a systematic answer to such questions, by developing methods and tools which can be applied to networks in diverse areas like infrastructure, communication, information systems, biology or (online) social networks. In a network approach, agents in such systems (like e.g. humans, computers, documents, power plants, biological or financial entities) are represented as nodes, whereas their interactions are represented as links.

The first part of the course, "Introduction to networks: basic and advanced metrics", describes how networks can be represented mathematically and how the properties of their link structures can be quantified empirically.

In a second part "Stochastic Models of Complex Networks" we address how analytical statements about crucial properties like connectedness or robustness can be made based on simple macroscopic stochastic models without knowing the details of a topology.

In the third part we address "Dynamical processes on complex networks". We show how a simple model for a random walk in networks can give insights into the authority of nodes, the efficiency of diffusion processes as well as the existence of community structures.

A fourth part "Network Optimisation and Inference" introduces models for the emergence of complex topological features which are due to stochastic optimization processes, as well as statistical methods to detect patterns in large data sets on networks.

In a fifth part, we address "Network Dynamics", introducing models for the emergence of complex features that are due to (i) feedback phenomena in simple network growth processes or (iii) order correlations in systems with highly dynamic links.

A final part "Research Trends" introduces recent research on the application of data mining and machine learning techniques to relational data.
Lecture notesThe lecture slides are provided as handouts - including notes and literature sources - to registered students only.
All material is to be found on Moodle at the following URL: Link
LiteratureSee handouts. Specific literature is provided for download - for registered students, only.
Prerequisites / NoticeThere are no pre-requisites for this course. Self-study tasks (to be solved analytically and by means of computer simulations) are provided as home work. Weekly exercises (45 min) are used to discuss selected solutions. Active participation in the exercises is strongly suggested for a successful completion of the final exam.
363-0543-00LAgent-Based Modelling of Social Systems Information W3 credits2V + 1UF. Schweitzer
AbstractAgent-based modeling is introduced as a bottom-up approach to understand the complex dynamics of social systems. The course is based on formal models of agents and their interactions. Computer simulations using Python allow the quantitative analysis of a wide range of social phenomena, e.g. cooperation and competition, opinion dynamics, spatial interactions and behaviour in social networks.
ObjectiveA successful participant of this course is able to
- understand the rationale of agent-based models of social systems
- understand the relation between rules implemented at the individual level and the emerging behavior at the global level
- learn to choose appropriate model classes to characterize different social systems
- grasp the influence of agent heterogeneity on the model output
- efficiently implement agent-based models using Python and visualize the output
ContentThis full-featured course on agent-based modeling (ABM) allows participants with no prior expertise to understand concepts, methods and tools of ABM, to apply them in their master or doctoral thesis. We focus on a formal description of agents and their interactions, to allow for a suitable implementation in computer simulations. Given certain rules for the agents, we are interested to model their collective dynamics on the systemic level.

Agent-based modeling is introduced as a bottom-up approach to understand the complex dynamics of social systems.
Agents represent the basic constituents of such systems. The are described by internal states or degrees of freedom (opinions, strategies, etc.), the ability to perceive and change their environment, and the ability to interact with other agents. Their individual (microscopic) actions and interactions with other agents, result in macroscopic (collective, system) dynamics with emergent properties, which we want to understand and to analyze.

The course is structured in three main parts. The first two parts introduce two main agent concepts - Boolean agents and Brownian agents, which differ in how the internal dynamics of agents is represented. Boolean agents are characterized by binary internal states, e.g. yes/no opinion, while Brownian agents can have a continuous spectrum of internal states, e.g. preferences and attitudes. The last part introduces models in which agents interact in physical space, e.g. migrate or move collectively.

Throughout the course, we will discuss a wide variety of application areas, such as:
- opinion dynamics and social influence,
- cooperation and competition,
- online social networks,
- systemic risk
- emotional influence and communication
- swarming behavior
- spatial competition

While the lectures focus on the theoretical foundations of agent-based modeling, weekly exercise classes provide practical skills. Using the Python programming language, the participants implement agent-based models in guided and in self-chosen projects, which they present and jointly discuss.
Lecture notesThe lecture slides will be available on the Moodle platform, for registered students only.
LiteratureSee handouts. Specific literature is provided for download, for registered students only.
Prerequisites / NoticeParticipants of the course should have some background in mathematics and an interest in formal modeling and in computer simulations, and should be motivated to learn about social systems from a quantitative perspective.

Prior knowledge of Python is not necessary.

Self-study tasks are provided as home work for small teams (2-4 members).
Weekly exercises (45 min) are used to discuss the solutions and guide the students.

The examination will account for 70% of the grade and will be conducted electronically. The "closed book" rule applies: no books, no summaries, no lecture materials. The exam questions and answers will be only in English. The use of a paper-based dictionary is permitted.
The group project to be handed in at the beginning of July will count 30% to the final grade.
701-1708-00LInfectious Disease DynamicsW4 credits2VS. Bonhoeffer, R. D. Kouyos, R. R. Regös, T. Stadler
AbstractThis course introduces into current research on the population biology of infectious diseases. The course discusses the most important mathematical tools and their application to relevant diseases of human, natural or managed populations.
ObjectiveAttendees will learn about:
* the impact of important infectious pathogens and their evolution on human, natural and managed populations
* the population biological impact of interventions such as treatment or vaccination
* the impact of population structure on disease transmission

Attendees will learn how:
* the emergence spread of infectious diseases is described mathematically
* the impact of interventions can be predicted and optimized with mathematical models
* population biological models are parameterized from empirical data
* genetic information can be used to infer the population biology of the infectious disease

The course will focus on how the formal methods ("how") can be used to derive biological insights about the host-pathogen system ("about").
ContentAfter an introduction into the history of infectious diseases and epidemiology the course will discuss basic epidemiological models and the mathematical methods of their analysis. We will then discuss the population dynamical effects of intervention strategies such as vaccination and treatment. In the second part of the course we will introduce into more advanced topics such as the effect of spatial population structure, explicit contact structure, host heterogeneity, and stochasticity. In the final part of the course we will introduce basic concepts of phylogenetic analysis in the context of infectious diseases.
Lecture notesSlides and script of the lecture will be available online.
LiteratureThe course is not based on any of the textbooks below, but they are excellent choices as accompanying material:
* Keeling & Rohani, Modeling Infectious Diseases in Humans and Animals, Princeton Univ Press 2008
* Anderson & May, Infectious Diseases in Humans, Oxford Univ Press 1990
* Murray, Mathematical Biology, Springer 2002/3
* Nowak & May, Virus Dynamics, Oxford Univ Press 2000
* Holmes, The Evolution and Emergence of RNA Viruses, Oxford Univ Press 2009
Prerequisites / NoticeBasic knowledge of population dynamics and population genetics as well as linear algebra and analysis will be an advantage.
701-1236-00LMeasurement Methods in Meteorology and Climate Research Information W1 credit1VM. Hirschi, D. Michel
AbstractThe course provides the physical, technical, and theoretical basics for measuring physical quantities in the atmosphere. Also, considerations related to the planning of observation campaigns and to data evaluation are discussed.
ObjectiveAims of the course are:
- to become sensitive for specific problems when making measurements in the atmosphere under severe environmental conditions
- to gain knowledge of the different measurement methods and techniques
- to develop criteria for the choice of the optimal measurement method for a given problem
- to find the optimal observation strategy in terms of choice of instrument, frequency of observation, accuracy, etc.
ContentProblems related to time series analysis, sampling theorem, time constant and sampling rate. Theoretical analysis of different sensors for temperature, humidity, wind, and pressure. Discussion of effects disturbing the instruments. Principles of active and passive remote sensing. Measuring turbulent fluxes (e.g. heatflux) using eddy-correlation technique. Discussion of technical realizations of complex observing systems (radiosondes, automatic weather stations, radar, wind profilers). Demonstration of instruments.
Lecture notesStudents can download a copy of the lectures as PDF-files.
Literature- Emeis, Stefan: Measurement Methods in Atmospheric Sciences, In situ and remote. Bornträger 2010, ISBN 978-3-443-01066-9
- Brock, F. V. and S. J. Richardson: Meteorological Measurement Systems, Oxford University Press 2001, ISBN 0-19-513451-6
- Thomas P. DeFelice: An Introduction to Meteorological Instrumentation and Measurement. Prentice-Hall 2000, 229 p., ISBN 0-13-243270-6
- Fritschen, L.J., Gay L.W.: Environmental Instrumentation, 216 p., Springer, New York 1979.
- Lenschow, D.H. (ed.): Probing the Atmospheric Boundary Layer, 269 p., American Meteorological Society, Boston MA 1986.
- Meteorological Office (publ.): Handbook of Meteorological Instruments, 8 vols., Her Majesty's Stationery Office, London 1980.
- Wang, J.Y., Felton, C.M.M.: Instruments for Physical Environmental measurements, 2 vol., 801 p., Kendall/Hunt Publ. Comp., Dubuque Iowa 1975/76.
Prerequisites / NoticeThe lecture focuses on physical atmospheric parameters while lecture 701-0234-00 concentrates on the chemical quantities. The lectures are complementary, together they provide the instrumental basics for the lab course 701-0460-00. Contact hours of the lab course are such that the lectures can be attended (which is recommended).
701-0234-00LAtmospheric Chemistry: Instruments and Measuring Techniques Information W1 credit1VU. Krieger
AbstractMeasuring Techniques: Environmental Monitoring, Trace Gas Detection, Remote Sensing, Aerosol Characterization, Techniques used in the laboratory.
ObjectiveFind out about the specific problems connected to composition measurements in the atmosphere. Working out criteria for selecting an optimal measuring strategy. Acquiring knowledge about different measuring methods their spectroscopic principles and of some specific instruments.
ContentEs werden Methoden und Geräte vorgestellt und theoretisch analysiert, die in atmosphärenchemischen Messungen Verwendung finden: Geräte zur Überwachung im Rahmen der Luftreinhalteverordnung, Spurengasanlysemethoden, "remote sensing", Aerosolmessgeräte, Messverfahren bei Labormessungen zu atmosphärischen Fragestellungen.
LiteratureB. J. Finnlayson-Pitts, J. N. Pitts, "Chemistry of the Upper and Lower Atmosphere", Academic Press, San Diego, 2000
Prerequisites / NoticeMethodenvorlesung zu den Praktika 701-0460-00 und 701-1230-00. Die Kontaktzeiten in diesen Praktika sind so abgestimmt, dass der (empfohlene) Besuch der Vorlesung möglich ist.

Voraussetzungen: Atmosphärenphysik I und II
151-0620-00LEmbedded MEMS Lab
Number of participants limited to 20.
W5 credits3PC. Hierold, S. Blunier, M. Haluska
AbstractPractical course: Students are introduced to the process steps required for the fabrication of MEMS (Micro Electro Mechanical System) and carry out the fabrication and testing steps in the clean rooms themselves. Additionally, they learn the requirements for working in clean rooms. Processing and characterization will be documented and analyzed in a final report.
ObjectiveStudents learn the individual process steps that are required to make a MEMS (Micro Electro Mechanical System). Students carry out the process steps themselves in laboratories and clean rooms. Furthermore, participants become familiar with the special requirements (cleanliness, safety, operation of equipment and handling hazardous chemicals) of working in the clean rooms and laboratories. The entire production, processing, and characterization of the MEMS is documented and evaluated in a final report.
ContentWith guidance from a tutor, the individual silicon microsystem process steps that are required for the fabrication of an accelerometer are carried out:
- Photolithography, dry etching, wet etching, sacrificial layer etching, various cleaning procedures
- Packaging and electrical connection of a MEMS device
- Testing and characterization of the MEMS device
- Written documentation and evaluation of the entire production, processing and characterization
Lecture notesA document containing theory, background and practical course content is distributed in the informational meeting.
LiteratureThe document provides sufficient information for the participants to successfully participate in the course.
Prerequisites / NoticeParticipating students are required to attend all scheduled lectures and meetings of the course.

Participating students are required to provide proof that they have personal accident insurance prior to the start of the laboratory portion of the course.

This master's level course is limited to 20 students per semester for safety and efficiency reasons.
If there are more than 20 students registered, we regret to restrict access to this course by the following rules:

Priority 1: master students of the master's program in "Micro and Nanosystems"

Priority 2: master students of the master's program in "Mechanical Engineering" with a specialization in Microsystems and Nanoscale Engineering (MAVT-tutors Profs Dual, Hierold, Koumoutsakos, Nelson, Norris, Poulikakos, Pratsinis, Stemmer), who attended the bachelor course "151-0621-00L Microsystems Technology" successfully.

Priority 3: master students, who attended the bachelor course "151-0621-00L Microsystems Technology" successfully.

Priority 4: all other students (PhD, bachelor, master) with a background in silicon or microsystems process technology.

If there are more students in one of these priority groups than places available, we will decide with respect to (in following order) best achieved grade from 151-0621-00L Microsystems Technology, registration to this practicum at previous semester, and by drawing lots.
Students will be notified at the first lecture of the course (introductory lecture) as to whether they are able to participate.

The course is offered in autumn and spring semester.
227-0147-00LVLSI II: Design of Very Large Scale Integration Circuits Information W6 credits5GF. K. Gürkaynak, L. Benini
AbstractThis second course in our VLSI series is concerned with how to turn digital circuit netlists into safe, testable and manufacturable mask layout, taking into account various parasitic effects. Low-power circuit design is another important topic. Economic aspects and management issues of VLSI projects round off the course.
ObjectiveKnow how to design digital VLSI circuits that are safe, testable, durable, and make economic sense.
ContentThe second course begins with a thorough discussion of various technical aspects at the circuit and layout level before moving on to economic issues of VLSI. Topics include:
- The difficulties of finding fabrication defects in large VLSI chips.
- How to make integrated circuit testable (design for test).
- Synchronous clocking disciplines compared, clock skew, clock distribution, input/output timing.
- Synchronization and metastability.
- CMOS transistor-level circuits of gates, flip-flops and random access memories.
- Sinks of energy in CMOS circuits.
- Power estimation and low-power design.
- Current research in low-energy computing.
- Layout parasitics, interconnect delay, static timing analysis.
- Switching currents, ground bounce, IR-drop, power distribution.
- Floorplanning, chip assembly, packaging.
- Layout design at the mask level, physical design verification.
- Electromigration, electrostatic discharge, and latch-up.
- Models of industrial cooperation in microelectronics.
- The caveats of virtual components.
- The cost structures of ASIC development and manufacturing.
- Market requirements, decision criteria, and case studies.
- Yield models.
- Avenues to low-volume fabrication.
- Marketing considerations and case studies.
- Management of VLSI projects.

Exercises are concerned with back-end design (floorplanning, placement, routing, clock and power distribution, layout verification). Industrial CAD tools are being used.
Lecture notesH. Kaeslin: "Top-Down Digital VLSI Design, from Gate-Level Circuits to CMOS Fabrication", Lecture Notes Vol.2 , 2015.

All written documents in English.
LiteratureH. Kaeslin: "Top-Down Digital VLSI Design, from Architectures to Gate-Level Circuits and FPGAs", Elsevier, 2014, ISBN 9780128007303.
Prerequisites / NoticeHighlight:
Students are offered the opportunity to design a circuit of their own which then gets actually fabricated as a microchip! Students who elect to participate in this program register for a term project at the Integrated Systems Laboratory in parallel to attending the VLSI II course.

Prerequisites:
"VLSI I: from Architectures to Very Large Scale Integration Circuits and FPGAs" or equivalent knowledge.

Further details:
Link
101-0178-01LUncertainty Quantification in Engineering Information W3 credits2GS. Marelli
AbstractUncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation techniques (Monte Carlo simulation, polynomial chaos expansions), and sensitivity analysis.
ObjectiveAfter this course students will be able to properly pose an uncertainty quantification problem, select the appropriate computational methods and interpret the results in meaningful statements for field scientists, engineers and decision makers. The course is suitable for any master/Ph.D. student in engineering or natural sciences, physics, mathematics, computer science with a basic knowledge in probability theory.
ContentThe course introduces uncertainty quantification through a set of practical case studies that come from civil, mechanical, nuclear and electrical engineering, from which a general framework is introduced. The course in then divided into three blocks: probabilistic modelling (introduction to copula theory), uncertainty propagation (Monte Carlo simulation and polynomial chaos expansions) and sensitivity analysis (correlation measures, Sobol' indices). Each block contains lectures and tutorials using Matlab and the in-house software UQLab (Link).
Lecture notesDetailed slides are provided for each lecture. A printed script gathering all the lecture slides may be bought at the beginning of the semester.
Prerequisites / NoticeA basic background in probability theory and statistics (bachelor level) is required. A summary of useful notions will be handed out at the beginning of the course.

A good knowledge of Matlab is required to participate in the tutorials and for the mini-project.
327-0506-01LMaterials Physics IIW3 credits2V + 1UP. Gambardella
AbstractThis course provides physical foundations to understand the response of different classes of materials to electromagnetic fields, focusing on the dielectric, optical, and magnetic properties of materials, and on the basic functioning of devices that exploit such properties, including photodiodes, photovoltaic cells, LEDs, laser diodes, permanent magnet motors, transformers, and magnetic memories.
ObjectiveThis course aims at giving a deepened understanding of physical phenomena relevant to Materials Science.
ContentPART I: Introduction to the dielectric properties of matter
Microscopic origin of dipoles in matter: Electronic, ionic, molecular polarization. Electric field inside and outside dielectric materials. Connection between macroscopic and microscopic polarization. Dielectric breakdown.

PART II: Interaction of electromagnetic waves with matter
The EM spectrum. Electromagnetic waves in vacuum; Energy, momentum, and angular momentum of EM waves; Sources of EM radiation; EM waves in matter. The refractive index. Transmission, Reflection, and Refraction from a microscopic point of view. Optical anisotropy, Optical activity, Dichroism.
Optical Materials: Crystalline Insulators and Semiconductors, Glasses, Metals
Photonic devices: Photodiodes, Photovoltaic cells, LEDs, Laser diodes

PART III: Magnetism
Magnetostatics: Classical concepts. Microscopic origin of magnetism. Diamagnetism, paramagnetism, ferromagnetism. Magnetic materials and applications.
Lecture notesLectures and script will be in English.
Lecture notes can be downloaded at
Link
LiteratureElectromagnetism and dielectric properties: E.M. Purcell and D.J. Morin, Electricity and Magnetism (Cambridge U. Press, 2013)
Optics and optical materials: E. Hecht, Optics (Lehmanns) ; M. Fox, Optical Properties of Solids (Oxford U. Press)
Photonic Devices: Simon Sze, Physics of Semiconductor Devices (Wiley)
Magnetism: J.M.D. Coey, Magnetism and magnetic materials (Cambridge U. Press, 2010).
General: C. Kittel, Introduction to Solid State Physics (Wiley, 2005), also available in German.
Prerequisites / NoticeMaterials Physics I (327-0407-01)
227-0455-00LTerahertz: Technology and ApplicationsW5 credits3G + 3AK. Sankaran
AbstractThis block course will provide a solid foundation for understanding physical principles of THz applications. We will discuss various building blocks of THz technology - components dealing with generation, manipulation, and detection of THz electromagnetic radiation. We will introduce THz applications in the domain of imaging, sensing, communications, non-destructive testing and evaluations.
ObjectiveThis is an introductory course on Terahertz (THz) technology and applications. Devices operating in THz frequency range (0.1 to 10 THz) have been increasingly studied in the recent years. Progress in nonlinear optical materials, ultrafast optical and electronic techniques has strengthened research in THz application developments. Due to unique interaction of THz waves with materials, applications with new capabilities can be developed. In theory, they can penetrate somewhat like X-rays, but are not considered harmful radiation, because THz energy level is low. They should be able to provide resolution as good as or better than magnetic resonance imaging (MRI), possibly with simpler equipment. Imaging, very-high bandwidth communication, and energy harvesting are the most widely explored THz application areas. We will study the basics of THz generation, manipulation, and detection. Our emphasis will be on the physical principles and applications of THz in the domain of imaging, sensing, communications, non-destructive testing and evaluations.

The second part of the block course will be a short project work related to the topics covered in the lecture. The learnings from the project work should be presented in the end.
ContentPART I:

- INTRODUCTION -
Chapter 1: Introduction to THz Physics
Chapter 2: Components of THz Technology

- THz TECHNOLOGY MODULES -
Chapter 3: THz Generation
Chapter 4: THz Detection
Chapter 5: THz Manipulation

- APPLICATIONS -
Chapter 6: THz Imaging / Sensing / Communication
Chapter 7: THz Non-destructive Testing
Chapter 8: THz Applications in Plastic & Recycling Industries

PART 2:

- PROJECT WORK -
Short project work related to the topics covered in the lecture.
Short presentation of the learnings from the project work.
Full guidance and supervision will be given for successful completion of the short project work.
Lecture notesSoft-copy of lectures notes will be provided.
Literature- Yun-Shik Lee, Principles of Terahertz Science and Technology, Springer 2009
- Ali Rostami, Hassan Rasooli, and Hamed Baghban, Terahertz Technology: Fundamentals and Applications, Springer 2010
Prerequisites / NoticeBasic foundation in physics, particularly, electromagnetics is required.
Students who want to refresh their electromagnetics fundamentals can get additional material required for the course.
327-2139-00LDiffraction Physics in Materials ScienceW3 credits3GR. Erni
AbstractThe lecture focuses on diffraction and scattering phenomena in materials science beyond basic Bragg diffraction. Introducing the 1st-order Born approximation and Kirchoff’s theory, diffraction from ideal and non-ideal crystals is treated including, e.g., temperature and shape effects, ordering phenomena, small-angle scattering and dynamical diffraction theories.
Objective• To become familiar with advanced diffraction phenomena in order to be able to explore the structure and properties of (solid) matter and their defects.
• To build up a generally applicable and fundamental theoretical understanding of scattering and diffraction effects.
• To learn about limitations of the methods and the underlying theory which is commonly used to analyze diffraction data.
ContentThe course provides a general introduction to advanced diffraction phenomena in materials science. The lecture series covers the following topics: derivation of a general scattering theory based on Green’s function as basis for the introduction of the first-order Born approximation; Kirchhoff’s diffraction theory with its integral theorem and the specific cases of Fresnel and Fraunhofer diffraction; diffraction from ideal crystals and diffraction from real crystals considering temperature effects expressed by the temperature Debye-Waller factor and by thermal diffuse scattering, atomic size effects expressed by the static Debye-Waller factor and diffuse scattering due to the modulation of the Laue monotonic scattering as a consequence of local order or clustering; the basics of small-angle scattering; and finally approaches used to treat dynamical diffraction are introduced and exemplified by performing simulations. In addition, the specifics of X-ray, electron and neutron scattering are being discussed. The course is complemented by a lab visit, live demos, selected exercises and short topical presentations given by the participants.
Lecture notesFull-text script is available covering within about 100 pages the core topics of the lecture and all necessary derivations.
Literature- Diffraction Physics, 3rd ed., J. M. Cowley, Elsevier, 1994.
- X-Ray Diffraction, B. E. Warren, Dover, 1990.
- Diffraction from Materials, 2nd ed., L. H. Schwartz, J. B. Cohen, Springer, 1987.
- X-Ray Diffraction – In Crystals, Imperfect Crystals and Amorphous Bodies, A. Guinier, Dover, 1994.
- Aberration-corrected imaging in transmission electron microscopy, 2nd ed., R. Erni, Imperial College Press, 2015.
Prerequisites / NoticeBasics of crystallography and the concept of reciprocal space, basics of electromagnetic and particle waves (but not mandatory)
252-0834-00LInformation Systems for Engineers Information
Wird ab HS20 nur in Herbstsemester angeboten.
W4 credits2V + 1UG. Fourny
AbstractThis course provides the basics of relational databases from the perspective of the user.

We will discover why tables are so incredibly powerful to express relations, learn the SQL query language, and how to make the most of it. The course also covers support for data cubes (analytics).
ObjectiveThis lesson is complementary with Big Data for Engineers as they cover different time periods of database history and practices -- you can even take both lectures at the same time.

After visiting this course, you will be capable to:

1. Explain, in the big picture, how a relational database works and what it can do in your own words.

2. Explain the relational data model (tables, rows, attributes, primary keys, foreign keys), formally and informally, including the relational algebra operators (select, project, rename, all kinds of joins, division, cartesian product, union, intersection, etc).

3. Perform non-trivial reading SQL queries on existing relational databases, as well as insert new data, update and delete existing data.

4. Design new schemas to store data in accordance to the real world's constraints, such as relationship cardinality

5. Explain what bad design is and why it matters.

6. Adapt and improve an existing schema to make it more robust against anomalies, thanks to a very good theoretical knowledge of what is called "normal forms".

7. Understand how indices work (hash indices, B-trees), how they are implemented, and how to use them to make queries faster.

8. Access an existing relational database from a host language such as Java, using bridges such as JDBC.

9. Explain what data independence is all about and didn't age a bit since the 1970s.

10. Explain, in the big picture, how a relational database is physically implemented.

11. Know and deal with the natural syntax for relational data, CSV.

12. Explain the data cube model including slicing and dicing.

13. Store data cubes in a relational database.

14. Map cube queries to SQL.

15. Slice and dice cubes in a UI.

And of course, you will think that tables are the most wonderful object in the world.
ContentUsing a relational database
=================
1. Introduction
2. The relational model
3. Data definition with SQL
4. The relational algebra
5. Queries with SQL

Taking a relational database to the next level
=================
6. Database design theory
7. Databases and host languages
8. Databases and host languages
9. Indices and optimization
10. Database architecture and storage

Analytics on top of a relational database
=================
12. Data cubes

Outlook
=================
13. Outlook
Literature- Lecture material (slides).

- Book: "Database Systems: The Complete Book", H. Garcia-Molina, J.D. Ullman, J. Widom
(It is not required to buy the book, as the library has it)
Prerequisites / NoticeFor non-CS/DS students only, BSc and MSc
Elementary knowledge of set theory and logics
Knowledge as well as basic experience with a programming language such as Pascal, C, C++, Java, Haskell, Python
Proseminars and Semester Papers
To organise a semester project take contact with one of the instructors.

Not all lecturers are directly eligible in myStudies if "Professors" is the required type of lecturers. In such cases please take contact with the Study Administration (Link).
NumberTitleTypeECTSHoursLecturers
402-0210-MSLProseminar Theoretical Physics Information Restricted registration - show details
Limited number of participants.
W9 credits4SSupervisors
AbstractA guided self-study of original papers and of advanced textbooks in theoretical physics. Within the general topic, determined each semester, participants give a presentation on a particular subject and deliver a written report.
Objective
402-0217-MSLSemester Project in Theoretical Physics Restricted registration - show details W9 credits18ASupervisors
AbstractThis course unit is an alternative if no suitable "Proseminar Theoretical Physics" is available of if the proseminar is already overbooked.
Objective
402-0215-MSLExperimental Semester Project in Physics Information Restricted registration - show details W9 credits18ASupervisors
AbstractThe aim of the project is to give the student experience in working in a research environment, carrying out physics experiments, analysing and interpreting the resulting data.
Objective
402-0717-MSLParticle Physics at CERN Information Restricted registration - show details W9 credits18PF. Nessi-Tedaldi, W. Lustermann
AbstractDuring the semester break participating students stay for 4 weeks at CERN and perform experimental work relevant to our particle physics projects. Dates to be agreed upon.
ObjectiveStudents learn the needed skills to, and perform a small particle physics experiment: setup, problem solving, data taking, analysis, interpretation and presentation in a written report of publication quality.
ContentDetailed information in: Link
Prerequisites / NoticeLanguage of instruction: English or German
402-0719-MSLParticle Physics at PSI (Paul Scherrer Institute) Restricted registration - show details W9 credits18PC. Grab
AbstractDuring semester breaks in Summer 6-12 students stay for 3 weeks at PSI and participate in a hands-on course on experimental particle physics. A small real experiment is performed in common, including apparatus design, construction, running and data analysis. The course includes some lectures, but the focus lies on the practical aspects of experimenting.
ObjectiveStudents learn all the different steps it takes to perform a complete particle physics experiment in a small team. They acquire skills to do this themselves in the team, including design, construction, data taking and data analysis.
402-0340-MSLMedical Physics Restricted registration - show details W9 credits18PA. J. Lomax, K. P. Prüssmann
AbstractIn agreement with the lecturers a semester paper in the context of the topics discussed in the lectures can be written.
Objective
GESS Science in Perspective
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» Recommended Science in Perspective (Type B) for D-PHYS
» see Science in Perspective: Language Courses ETH/UZH
Master's Thesis
NumberTitleTypeECTSHoursLecturers
402-2000-00LScientific Works in Physics
Target audience:
Master students who cannot document to have received an adequate training in working scientifically.

Directive Link
O0 creditsC. Grab
AbstractLiterature Review: ETH-Library, Journals in Physics, Google Scholar; Thesis Structure: The IMRAD Model; Document Processing: LaTeX and BibTeX, Mathematical Writing, AVETH Survival Guide; ETH Guidelines for Integrity; Authorship Guidelines; ETH Citation Etiquettes; Declaration of Originality.
ObjectiveBasic standards for scientific works in physics: How to write a Master Thesis. What to know about research integrity.
402-0900-30LMaster's Thesis Restricted registration - show details
Only students who fulfil the following criteria are allowed to begin with their master thesis:
a. successful completion of the bachelor programme;
b. fulfilling of any additional requirements necessary to gain admission to the master programme.
c. have acquired at least 8 credits in the category Proseminars and Semester Papers.

Further information: Link
O30 credits57DSupervisors
AbstractThe master's thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working.
Objective
Seminars, Colloquia, and Additional Courses
NumberTitleTypeECTSHoursLecturers
529-4000-00LChemistryZ4 credits3GE. C. Meister
AbstractIntroduction to chemistry with aspects of inorganic, organic and physical chemistry.
Objective- Understanding of simple models of chemical bonding and the three-dimensional molecular structure
- Quantitative description of selected chemical systems by means of reaction equations and equilibria
- Understanding of fundamental concepts of chemical kinetics (e.g. reaction order, rate law, rate constant)
ContentChemical bonding (LCAO-MO) and molecular structure (VSEPR), reactions, equilibria, electrochemistry, chemical kinetics.
Lecture notesHandouts of lecture presentations and additional supporting information will be offered.
LiteratureC.E. Housecroft, E.C. Constable, Chemistry. An Introduction to Organic, Inorganic and Physical Chemistry, 4th ed., Pearson: Harlow 2010.
C.E. Mortimer, U. Müller, Chemie, 11. Auflage, Thieme: Stuttgart 2014.
402-0101-00LThe Zurich Physics Colloquium Information
Cancelled until further notice.
E-0 credits1KS. Huber, A. Refregier, University lecturers
AbstractResearch colloquium
ObjectiveThe goal of this event is to bring you closer to current day research in all fields of physics. In each semester we have a set of distinguished speakers covering the full range of topics in physics. As a participating student should learn how to follow a research talk. In particular, you should be able to extract key points from a colloquium where you don't necessarily understand every detail that is presented.
402-0800-00LThe Zurich Theoretical Physics Colloquium Information E-0 credits1KO. Zilberberg, University lecturers
AbstractResearch colloquium
Objective
Prerequisites / NoticeTalks in German are also possible.
402-0890-00LSeminars of the Platform for Advanced Scientific Computing (PASC)E-0 credits2ST. C. Schulthess, N. Spaldin
AbstractSeminars by invited speakers in the area of advanced scientific computing.
ObjectiveDiscussion of state of the art techniques and methodologies in scientific computing.
ContentThis course consists in a series of seminars by invited speakers on subjects of interest for the ``Platform for Advanced Scientific Computing''.
Lecture notesThere is no script.
LiteratureLiterature will be provided by the speakers in their respective presentations.
Prerequisites / NoticeParticipants should have experience on advanced scientific computing.
402-0501-00LSolid State PhysicsE-0 credits1SG. Blatter, C. Degen, K. Ensslin, D. Pescia, M. Sigrist, A. Wallraff, A. Zheludev
AbstractResearch colloquium
Objective
402-0551-00LLaser SeminarE-0 credits1ST. Esslinger, J. Faist, J. Home, A. Imamoglu, U. Keller, F. Merkt, H. J. Wörner
AbstractResearch colloquium
Objective
402-0600-00LNuclear and Particle Physics with ApplicationsE-0 credits2SA. Rubbia, G. Dissertori, C. Grab, K. S. Kirch, R. Wallny
AbstractResearch colloquium, with a particular emphasis on IPA-related research topics.
ObjectiveWiden the horizon on the physics topics relevant for our IPA groups.
In addition, it shall provide opportunities to share and exchange scientific ideas.
402-0700-00LSeminar in Elementary Particle PhysicsE-0 credits1SM. Spira
AbstractResearch colloquium
ObjectiveStay informed about current research results in elementary particle physics.
402-0746-00LSeminar: Particle and Astrophysics (Aktuelles aus der Teilchen- und Astrophysik)E-0 credits1SC. Grab, University lecturers
AbstractResearch colloquium
ObjectiveThe goal is to widen the horizon on the physics topics and provide opportunities to share and exchange scientific ideas.
ContentIn Seminarvorträgen werden aktuelle Fragestellungen aus der Teilchenphysik vom theoretischen und experimentellen Standpunkt aus diskutiert. Besonders wichtig erscheint uns der Bezug zu den eigenen Forschungsmöglichkeiten am PSI, CERN und DESY.
402-0893-00LParticle Physics Seminar Information E-0 credits1SC. Anastasiou, T. K. Gehrmann
AbstractResearch colloquium
Objective
Prerequisites / NoticeOccasionally, talks may be delivered in German.
402-0530-00LMesoscopic SystemsE-0 credits1ST. M. Ihn
AbstractResearch colloquium
ObjectiveStudents are able to understand modern experiments in the field of mesoscopic systems and nanostructures. They can present their own results, critically reflect published research in this field, explain both to an audience of physicists, and participate in a critical and constructive scientific discussion.
402-0620-00LCurrent Topics in Accelerator Mass Spectrometry and Its ApplicatonsE-0 credits1SM. Christl, S. Willett
AbstractThe seminar is aimed at all students who, during their studies, are confronted with age determination methods based on long-living radionuclides found in nature. Basic methodology, the latest developments, and special examples from a wide range of applications will be discussed.
ObjectiveThe seminar provides the participants an overview about newest trends and developments of accelerator mass spectrometry (AMS) and related applications. In their talks and subsequent discussions the participants learn intensively about the newest trends in the field of AMS thus attaining a broad knowledge on both, the physical principles and the applications of AMS, which goes far beyond the horizon of their own studies.
227-0980-00LSeminar on Biomedical Magnetic ResonanceE-0 credits1SK. P. Prüssmann, S. Kozerke
AbstractActuel developments and problems of magnetic resonance imaging (MRI)
ObjectiveGetting insight to advanced topics in Magnetic Resonance Imaging
402-0396-00LRecent Research Highlights in Astrophysics (University of Zurich)
Does not take place this semester.
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: AST006.1

Mind the enrolment deadlines at UZH:
Link
E-0 credits1SUniversity lecturers
AbstractResearch colloquium
Objective
401-5330-00LTalks in Mathematical Physics Information E-0 credits1KA. Cattaneo, G. Felder, M. Gaberdiel, G. M. Graf, T. H. Willwacher, University lecturers
AbstractResearch colloquium
Objective
ContentForschungsseminar mit wechselnden Themen aus dem Gebiet der mathematischen Physik.
227-1043-00LNeuroinformatics - Colloquia (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: INI701

Mind the enrolment deadlines at UZH:
Link
E-0 credits1KS.‑C. Liu, R. Hahnloser, V. Mante
AbstractThe colloquium in Neuroinformatics is a series of lectures given by invited experts. The lecture topics reflect the current themes in neurobiology and neuromorphic engineering that are relevant for our Institute.
ObjectiveThe goal of these talks is to provide insight into recent research results. The talks are not meant for the general public, but really aimed at specialists in the field.
ContentThe topics depend heavily on the invited speakers, and thus change from week to week. All topics concern neural computation and their implementation in biological or artificial systems.
402-0300-00LIPA Colloquium Information E-0 credits1SA. Biland, C. Grab, A. Refregier, H. M. Schmid, further lecturers
AbstractResearch colloquium, with a particular emphasis on IPA-related research topics.
Objective"The goal is to widen the horizon on the physics topics investigated inhouse by the IPA groups.
In addition, it shall provide opportunities to share and exchange scientific ideas among the IPA people."
Course Units for Additional Admission Requirements
The courses below are only available for MSc students with additional admission requirements.
NumberTitleTypeECTSHoursLecturers
406-0204-AALElectrodynamics
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-7 credits15RR. Renner
AbstractDerivation and discussion of Maxwell's equations, from the static limit to the full dynamical case. Wave equation, waveguides, cavities. Generation of electromagnetic radiation, scattering and diffraction of light. Structure of Maxwell's equations, relativity theory and covariance, Lagrangian formulation. Dynamics of relativistic particles in the presence of fields and radiation properties.
ObjectiveDevelop a physical understanding for static and dynamic phenomena related to (moving) charged objects and understand the structure of the classical field theory of electrodynamics (transverse versus longitudinal physics, invariances (Lorentz-, gauge-)). Appreciate the interrelation between electric, magnetic, and optical phenomena and the influence of media. Understand a set of classic electrodynamical phenomena and develop the ability to solve simple problems independently. Apply previously learned mathematical concepts (vector analysis, complete systems of functions, Green's functions, co- and contravariant coordinates, etc.). Prepare for quantum mechanics (eigenvalue problems, wave guides and cavities).
ContentClassical field theory of electrodynamics: Derivation and discussion of Maxwell equations, starting from the static limit (electrostatics, magnetostatics, boundary value problems) in the vacuum and in media and subsequent generalization to the full dynamical case (Faraday's law, Ampere/Maxwell law; potentials and gauge invariance). Wave equation and solutions in full space, half-space (Snell's law), waveguides, cavities, generation of electromagnetic radiation, scattering and diffraction of light (optics). Application to various specific examples. Discussion of the structure of Maxwell's equations, Lorentz invariance, relativity theory and covariance, Lagrangian formulation. Dynamics
of relativistic particles in the presence of fields and their radiation properties (synchrotron).
LiteratureJ.D. Jackson, Classical Electrodynamics
W.K.H Panovsky and M. Phillis, Classical electricity and magnetism
L.D. Landau, E.M. Lifshitz, and L.P. Pitaevskii, Electrodynamics of continuus media
A. Sommerfeld, Electrodynamics / Optics (Lectures on Theoretical Physics)
M. Born and E. Wolf, Principles of optics
R. Feynman, R. Leighton, and M. Sands, The Feynman Lectures of Physics, Vol II
406-0663-AALNumerical Methods for CSE Information
Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement.

Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit.
E-8 credits17RR. Hiptmair
AbstractIntroduction into fundamental techniques and algorithms of numerical mathematics which play a central role in numerical simulations in science and technology.
Objective* Knowledge of the fundamental algorithms in numerical mathematics
* Knowledge of the essential terms in numerical mathematics and the
techniques used for the analysis of numerical algorithms
* Ability to choose the appropriate numerical method for concrete problems
* Ability to interpret numerical results
* Ability to implement numerical algorithms afficiently in C++
Content1. Computing with Matrices and Vectors
2. Direct Methods for Linear Systems of Equations
3. Direct Methods for Linear Least Squares Problems
4. Filtering Algorithms
5. Data Interpolation and Data Fitting in 1D
6. Approximation of Functions in 1D
7. Numerical Quadrature
8. Iterative Methods for Non-linear Systems of Equations
12. Numerical Integration - Single Step Methods
13. Single Step Methods for Stiff Initial Value Problems
Lecture notesLink
LiteratureW. Dahmen, A. Reusken "Numerik für Ingenieure und Naturwissenschaftler", Springer 2006.
M. Hanke-Bourgeois "Grundlagen der Numerischen Mathematik und des wissenschaftlichen Rechnens", BG Teubner, 2002
P. Deuflhard and A. Hohmann, "Numerische Mathematik I", DeGruyter, 2002
U. Ascher and C. Greif "A first course in Numerical Methods"
Prerequisites / NoticeExamination will be conducted at the computer and will involve coding in C++/Eigen.
A course covering the material is taught in English every autumn term (course unit 401-0663-00L). Course documents, exercises and examinations are available online.