Search result: Catalogue data in Spring Semester 2020

Number	Title	Type	ECTS	Hours	Lecturers
Nuclear Engineering Master MSc Nuclear Engineering is a joint program of EPF Lausanne and ETH Zurich. The first semester takes place in Lausanne. Students therefore have to enroll at EPFL. For more information about the curriculum and courses see: http://master.epfl.ch/cms/site/master/lang/en/nuclearengineering
Core Courses
2. Semester
151-0156-00L	Safety of Nuclear Power Plants	O	4 credits	2V + 1U	H.‑M. Prasser, V. Dang, L. Podofillini
Abstract	Knowledge 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.
Learning objective	Deep 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 notes	Script: Hand-outs of lecture slides will be distributed Audio recording of lectures will be provided Script "Short introduction into basics of nuclear power"
Literature	S. Glasston & A. Sesonke: Nuclear Reactor Engineering, Reactor System Engineering, Ed. 4, Vol. 2., Chapman & Hall, NY, 1994
Prerequisites / Notice	Prerequisites: Recommended in advance (not binding): 151-0163-00L Nuclear Energy Conversion
151-0160-00L	Nuclear Energy Systems	O	4 credits	2V + 1U	H.‑M. Prasser, P. Burgherr, I. Günther-Leopold, W. Hummel, T. Kämpfer, T. Kober, X. Zhang
Abstract	Nuclear 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.
Learning objective	Students 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 notes	Lecture slides will be distributed as handouts and in digital form
151-2017-00L	Nuclear Fuels and Materials	O	4 credits	3G	M. A. Pouchon, P. J.‑P. Spätig
Abstract	Materials for nuclear power plants and fuel are discussed. The course is a basic introduction into this topic and it is mainly concerned with light water reactors. Structural materials for pressure boundaries (reactor pressure vessel, pipings) and reactor internals are introduced. Fuel and fuel claddings are also discussed. Main emphasize is on damage and degradation mechanisms during service.
Learning objective	The students know the most important structural materials in nuclear reactors know fuel and its behaviour in a reactor know important ageing and degradation mechanisms in nuclear power plants
Content	• Brief review of materials science basics • LWRs and their structural materials, damage mechanisms • Cladding materials, corrosion, failure modes • Pressure-boundary components, ageing, degradation • Structural integrity, surveillance, lifetime management • Structural materials for future advanced NPPs • General description of nuclear fuels, introduction to radiation damage • Fuel thermal performance • Fuel thermo-mechanical behaviour • Production, evolution of fission products • Fission gas release mechanisms • Fuel related safety limits • Advanced fuels for future NPPs
Literature	Distributed documents, recommended book chapters
Prerequisites / Notice	Prerequisite for: Advanced Topics in Nuclear Reactor Materials (2nd sem.)
151-0166-00L	Physics of Nuclear Reactor II	W	4 credits	3G	S. Pelloni, K. Mikityuk, A. Pautz
Abstract	Reactor 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.
Learning objective	Students are introduced to advanced methods of reactor physics analysis for nuclear power plants.
Content	Cross-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 notes	Hand-outs will be provided on the website.
Literature	Chapters from various text books on Reactor Theory, etc.
151-0170-00L	Computational Multiphase Thermal Fluid Dynamics	W	4 credits	2V + 1U	H.‑M. Prasser, A. Dehbi, B. Niceno
Abstract	The course deals with fundamentals of the application of Computational Fluid Dynamics to gas-liquid flows as well as particle laden gas flows including aerosols. The course will present the current state of art in the field. Challenging examples, mainly from the field of nuclear reactor safety, are discussed in detail.
Learning objective	Fundamentals of 3D multiphase flows (Definitions, Averages, Flow regimes), mathematical models (two-fluid model, Euler-Euler and Euler-Lagrange techniques), modeling of dispersed bubble flows (inter-phase forces, population balance and multi-bubble size class models), turbulence modeling, stratified and free-surface flows (interface tracking techniques such as VOF, level-sets and variants, modeling of surface tension), particulate and aerosol flows, particle tracking, one and two way coupling, random walk techniques to couple particle tracking with turbulence models, numerical methods and tools, industrial applications.
151-0280-00L	Advanced Techniques for the Risk Analysis of Technical Systems	W	4 credits	2V + 1U	G. Sansavini
Abstract	The course provides advanced tools for the risk/vulnerability analysis and engineering of complex technical systems and critical infrastructures. It covers application of modeling techniques and design management concepts for strengthening the performance and robustness of such systems, with reference to energy, communication and transportation systems.
Learning objective	Students will be able to model complex technical systems and critical infrastructures including their dependencies and interdependencies. They will learn how to select and apply appropriate numerical techniques to quantify the technical risk and vulnerability in different contexts (Monte Carlo simulation, Markov chains, complex network theory). Students will be able to evaluate which method for quantification and propagation of the uncertainty of the vulnerability is more appropriate for various complex technical systems. At the end of the course, they will be able to propose design improvements and protection/mitigation strategies to reduce risks and vulnerabilities of these systems.
Content	Modern technical systems and critical infrastructures are complex, highly integrated and interdependent. Examples of these are highly integrated energy supply, energy supply with high penetrations of renewable energy sources, communication, transport, and other physically networked critical infrastructures that provide vital social services. As a result, standard risk-assessment tools are insufficient in evaluating the levels of vulnerability, reliability, and risk. This course offers suitable analytical models and computational methods to tackle this issue with scientific accuracy. Students will develop competencies which are typically requested for the formation of experts in reliability design, safety and protection of complex technical systems and critical infrastructures. Specific topics include: - Introduction to complex technical systems and critical infrastructures - Basics of the Markov approach to system modeling for reliability and availability analysis - Monte Carlo simulation for reliability and availability analysis - Markov Chain Monte Carlo for applications to reliability and availability analysis - Dependent, common cause and cascading failures - Complex network theory for the vulnerability analysis of complex technical systems and critical infrastructures - Basic concepts of uncertainty and sensitivity analysis in support to the analysis of the reliability and risk of complex systems under incomplete knowledge of their behavior Practical exercitations and computational problems will be carried out and solved both during classroom tutorials and as homework.
Lecture notes	Slides and other materials will be available online
Literature	The class will be largely based on the books: - "Computational Methods For Reliability And Risk Analysis" by E. Zio, World Scientific Publishing Company - "Vulnerable Systems" by W. Kröger and E. Zio, Springer - additional recommendations for text books will be covered in the class
Prerequisites / Notice	Fundamentals of Probability
151-0966-00L	Introduction to Quantum Mechanics for Engineers	W	4 credits	2V + 2U	D. J. Norris
Abstract	This course provides fundamental knowledge in the principles of quantum mechanics and connects it to applications in engineering.
Learning objective	To work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated.
Content	Fundamentals of Quantum Mechanics - Historical Perspective - Schrödinger Equation - Postulates of Quantum Mechanics - Operators - Harmonic Oscillator - Hydrogen atom - Multielectron Atoms - Crystalline Systems - Spectroscopy - Approximation Methods - Applications in Engineering
Lecture notes	Class Notes and Handouts
Literature	Text: David J. Griffiths, Introduction to Quantum Mechanics, 2nd Edition, Pearson International Edition.
Prerequisites / Notice	Analysis III, Mechanics III, Physics I, Linear Algebra II
151-1906-00L	Multiphase Flow	W	4 credits	3G	H.‑M. Prasser
Abstract	Basics 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.
Learning objective	This 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.
Content	The 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 notes	Lecturing notes are available (copy of slides or a german script) partly in english
Literature	Special literature is recommended for each chapter.
Prerequisites / Notice	The course builds on the basics in fluidmechanics.
151-2005-00L	Elective Project Nuclear Engineering Only for Nuclear Enginering MSc. The subject of the Elective Project and the choice of the supervisor (ETH or EPFL professor) are to be approved in advance by the tutor.	W	8 credits	17A	Professors
Abstract	The elective project has the purpose to train the students in the solution of specific engineering problems related to nuclear technology. This makes use of the technical and social skills acquired during the master's program. Tutors propose the subject of the project, elaborate the project plan, and define the roadmap together with their students, as well as monitor the overall execution.
Learning objective	The elective project is designed to train the students in the solution of specific engineering problems. This makes use of the technical and social skills acquired during the master's programme.
151-2016-00L	Radiation Imaging for Industrial Applications	W	4 credits	2V + 1U	H.‑M. Prasser, R. Adams
Abstract	The 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.
Learning objective	Understanding of the principles and applicability of various radiation-based imaging techniques including radiography and tomography to various industrial challenges.
Content	principles 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 notes	Lecture 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 / Notice	Recommended 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.
227-0948-00L	Magnetic Resonance Imaging in Medicine	W	4 credits	3G	S. Kozerke, M. Weiger Senften
Abstract	Introduction to magnetic resonance imaging and spectroscopy, encoding and contrast mechanisms and their application in medicine.
Learning objective	Understand the basic principles of signal generation, image encoding and decoding, contrast manipulation and the application thereof to assess anatomical and functional information in-vivo.
Content	Introduction 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 notes	D. Meier, P. Boesiger, S. Kozerke Magnetic Resonance Imaging and Spectroscopy
227-0967-00L	Computational Neuroimaging Clinic	W	3 credits	2V	K. Stephan
Abstract	This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a wide variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich, e.g., concerning mass-univariate and multivariate analyses of fMRI/EEG data, or generative models of fMRI, EEG, or behavioural data.
Learning objective	1. Consolidation of theoretical knowledge (obtained in one of the following courses: 'Methods & models for fMRI data analysis', 'Translational Neuromodeling', 'Computational Psychiatry') in a practical setting. 2. Acquisition of practical problem solving strategies for computational modeling of neuroimaging data.
Content	This seminar teaches problem solving skills for computational neuroimaging (incl. associated computational analyses of behavioural data). It deals with a wide variety of real-life problems that are brought to this meeting from the neuroimaging community at Zurich, e.g., concerning mass-univariate and multivariate analyses of fMRI/EEG data, or generative models of fMRI, EEG, or behavioural data.
Prerequisites / Notice	The participants are expected to be familiar with general principles of statistics and have successfully completed at least one of the following courses: 'Methods & models for fMRI data analysis', 'Translational Neuromodeling', 'Computational Psychiatry'
227-0968-00L	Monte Carlo in Medical Physics	W	4 credits	3G	M. Stampanoni, M. K. Fix
Abstract	Introduction 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.
Learning objective	Understanding 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.
Content	The 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 notes	A script will be provided.
402-0342-00L	Medical Physics II	W	6 credits	2V + 1U	P. Manser
Abstract	Applications 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.
Learning objective	Getting 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.
Content	In 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 notes	A script will be provided.
Prerequisites / Notice	It is recommended that the students have taken the lecture Medical Physics I in advance.
402-0343-00L	Physics Against Cancer: The Physics of Imaging and Treating Cancer Special Students UZH must book the module PHY361 directly at UZH.	W	6 credits	2V + 1U	A. J. Lomax, U. Schneider
Abstract	Radiotherapy 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.
Learning objective	Radiotherapy 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.
Content	The 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 / Notice	Although 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.
402-0604-00L	Materials Analysis by Nuclear Techniques	W	6 credits	2V + 1U	M. Doebeli
Abstract	Materials analysis by MeV ion beams. Nuclear techniques are presented which allow to quantitatively investigate the composition, structure and trace element content of solids.
Learning objective	Students 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.
Content	The 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 notes	Lecture 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 / Notice	A 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.
402-0787-00L	Therapeutic Applications of Particle Physics: Principles and Practice of Particle Therapy	W	6 credits	2V + 1U	A. J. Lomax
Abstract	Physics 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.
Learning objective	The 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 / Notice	The former title of this course was "Medical Imaging and Therapeutic Applications of Particle Physics".

Electives Course from the catalogue of Master courses ETH Zurich and EPFL. At least 4 credit points must be collected from the offer of Science in Perspective (SiP) compulsory electives at ETH Zurich or Management of Technology and Entrepreneurship at EPFL.
Industrial Internship
Number	Title	Type	ECTS	Hours	Lecturers
151-1090-00L	Industrial Internship Access to the company list and request for recognition under www.mavt.ethz.ch/praxis. No registration required via myStudies.	O	8 credits		external organisers
Abstract	The main objective of the minimum twelve-week internship is to expose Master’s students to the industrial work environment. The aim of the Industrial Internship is to apply engineering knowledge to practical situations.
Learning objective	The aim of the Industrial Internship is to apply engineering knowledge to practical situations.

Semester Project
Number	Title	Type	ECTS	Hours	Lecturers
151-1020-00L	Semester Project Nuclear Engineering Only for Nuclear Enginering MSc. The subject of the Semester Project and the choice of the supervisor (ETH or EPFL professor) are to be approved in advance by the tutor.	O	8 credits	17A	Professors
Abstract	The semester project is designed to train the students in the solution of specific engineering problems. This makes use of the technical and social skills acquired during the master's program. Tutors propose the subject of the project, elaborate the project plan, and define the roadmap together with their students, as well as monitor the overall execution.
Learning objective	The semester project is designed to train the students in the solution of specific engineering problems. This makes use of the technical and social skills acquired during the master's program.

Master's Thesis
Number	Title	Type	ECTS	Hours	Lecturers
151-1009-00L	Master's Thesis Nuclear Engineering Students who fulfill the following criteria are allowed to begin with their Master's Thesis: a. successful completion of the bachelor programme; b. fulfilling of any additional requirements necessary to gain admission to the master programme. c. successful completion of the semester project. d. completion of minimum 72 ECTS in the categories "Core Courses" and "Electives" in the Master studies and completion of 8 ECTS in the "Semester Project" For the supervision of the Master's Thesis, the following professors can be chosen: H.-M. Prasser (ETHZ), M.Q. Tran (EPFL), A. Pautz (EPFL)	O	30 credits	64D	Supervisors
Abstract	Master's programs are concluded by the master's thesis. The thesis is aimed at enhancing the student's capability to work independently toward the solution of a theoretical or applied problem. The subject of the master's thesis, as well as the project plan and roadmap, are proposed by the tutor and further elaborated with the student.
Learning objective	The thesis is aimed at enhancing the student's capability to work independently toward the solution of a theoretical or applied problem.

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