Suchergebnis: Katalogdaten im Frühjahrssemester 2019
Rechnergestützte Wissenschaften Bachelor | ||||||
Für alle Studienreglemente | ||||||
Weitere Wahlfächer aus den Vertiefungsgebieten (RW Master) 227-0662-00L und 227-0662-10L sind nur zusammen anrechenbar | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
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701-1228-00L | Cloud Dynamics: Hurricanes | W | 4 KP | 3G | U. Lohmann | |
Kurzbeschreibung | Hurricanes are among the most destructive elements in the atmosphere. This lecture will discuss the physical requirements for their formation, life cycle, damage potential and their relationship to global warming. It also distinguishes hurricanes from thunderstorms and tornadoes. | |||||
Lernziel | At the end of this course students will be able to distinguish the formation and life cycle mechanisms of tropical cyclones from those of extratropical thunderstorms/cyclones, project how tropical cyclones change in a warmer climate based on their physics and evaluate different tropical cyclone modification ideas. | |||||
Skript | Slides will be made available | |||||
Literatur | A literature list can be found here: Link | |||||
Voraussetzungen / Besonderes | At least one introductory lecture in Atmospheric Science or Instructor's consent. | |||||
151-0110-00L | Compressible Flows Findet dieses Semester nicht statt. | W | 4 KP | 2V + 1U | J.‑P. Kunsch | |
Kurzbeschreibung | Themen: Instationäre eindimensionale Unterschall- und Überschallströmungen, Akustik, Schallausbreitung, Überschallströmung mit Stössen und Prandtl-Meyer Expansionen, Umströmung von schlanken Körpern, Stossrohre, Reaktionsfronten (Deflagration und Detonation). Mathematische Werkzeuge: Charakteristikenverfahren, ausgewählte numerische Methoden. | |||||
Lernziel | Illustration der Physik der kompressiblen Strömungen und Üben der mathematischen Methoden anhand einfacher Beispiele. | |||||
Inhalt | Die Kompressibilität im Zusammenspiel mit der Trägheit führen zu Wellen in einem Fluid. So spielt die Kompressibilität bei instationären Vorgängen (Schwingungen in Gasleitungen, Auspuffrohren usw.) eine wichtige Rolle. Auch bei stationären Unterschallströmungen mit hoher Machzahl oder bei Überschallströmungen muss die Kompressibilität berücksichtigt werden (Flugtechnik, Turbomaschinen usw.). In dem ersten Teil der Vorlesung wird die Wellenausbreitung bei eindimensionalen Unterschall- und Überschallströmungen behandelt. Es werden sowohl Wellen kleiner Amplitude in akustischer Näherung, als auch Wellen grosser Amplitude mit Stossbildung behandelt. Der zweite Teil befasst sich mit ebenen stationären Überschallströmungen. Schlanke Körper in einer Parallelströmung werden als schwache Störungen der Strömung angesehen und können mit den Methoden der Akustik behandelt werden. Zu der Beschreibung der zweidimensionalen Überschallumströmung beliebiger Körper gehören schräge Verdichtungsstösse, Prandtl -Meyer Expansionen usw.. Unterschiedliche Randbedingungen (Wände usw.) und Wechselwirkungen, Reflexionen werden berücksichtigt. | |||||
Skript | nicht verfügbar | |||||
Literatur | Eine Literaturliste mit Buchempfehlungen wird am Anfang der Vorlesung ausgegeben. | |||||
Voraussetzungen / Besonderes | Voraussetzungen: Fluiddynamik I und II | |||||
327-0613-00L | Computer Applications: Finite Elements in Solids and Structures The course will only take place if at least 7 students are enrolled. | W | 4 KP | 2V + 2U | A. Gusev | |
Kurzbeschreibung | Einführung in die Finite-Elemente-Methode für Studenten mit einem allgemeinen Interesse an diesem Gebiet | |||||
Lernziel | Einführung in die Finite-Elemente-Methode für Studenten mit einem allgemeinen Interesse in diesem Gebiet | |||||
Inhalt | Einführung, Energieformulierungen, die Rayleigh-Ritz-Methode, Finite-Elemente der Verschiebungen, Lösungen zu den Finite-Elemente Gleichungen, Lineare Elemente, Konvergenz, Kompatibilität und Vollständigkeit, Finite Elemente höherer Ordnung, Beam- und Frame-Elemente, Plate- und Shell-Elemente, Dynamik und Vibrationen, Verallgemeinerung des Finite-Elemente-Konzeptes (Galerkin-weighted residual and variational approaches) | |||||
Skript | Autographie | |||||
Literatur | - Astley R.J. Finite Elements in Solids and Structures, Chapman & Hill, 1992 - Zienkiewicz O.C., Taylor R.L. The Finite Element Method, 5th ed., vol. 1, Butterworth-Heinemann, 2000 | |||||
151-0212-00L | Advanced CFD Methods | W | 4 KP | 2V + 1U | P. Jenny, D. W. Meyer-Massetti | |
Kurzbeschreibung | Fundamental and advanced numerical methods used in commercial and open-source CFD codes will be explained. The main focus is on numerical methods for conservation laws with discontinuities, which is relevant for trans- and hypersonic gas dynamics problems, but also CFD of incompressible flows, Direct Simulation Monte Carlo and the Lattice Boltzmann method are explained. | |||||
Lernziel | Knowing what's behind a state-of-the-art CFD code is not only important for developers, but also for users in order to choose the right methods and to achieve meaningful and accurate numerical results. Acquiring this knowledge is the main goal of this course. Established numerical methods to solve the incompressible and compressible Navier-Stokes equations are explained, whereas the focus lies on finite volume methods for compressible flow simulations. In that context, first the main theory and then numerical schemes related to hyperbolic conservation laws are explained, whereas not only examples from fluid mechanics, but also simpler, yet illustrative ones are considered (e.g. Burgers and traffic flow equations). In addition, two less commonly used yet powerful approaches, i.e., the Direct Simulation Monte Carlo (DSMC) and Lattice Boltzmann methods, are introduced. For most exercises a C++ code will have to be modified and applied. | |||||
Inhalt | - Finite-difference vs. finite-element vs. finite-volume methods - Basic approach to simulate incompressible flows - Brief introduction to turbulence modeling - Theory and numerical methods for compressible flow simulations - Direct Simulation Monte Carlo (DSMC) - Lattice Boltzmann method | |||||
Skript | Part of the course is based on the referenced books. In addition, the participants receive a manuscript and the slides. | |||||
Literatur | "Computational Fluid Dynamics" by H. K. Versteeg and W. Malalasekera. "Finite Volume Methods for Hyperbolic Problems" by R. J. Leveque. | |||||
Voraussetzungen / Besonderes | Basic knowledge in - fluid dynamics - numerical mathematics - programming (programming language is not important, but C++ is of advantage) | |||||
401-8908-00L | Continuous Time Quantitative Finance (University of Zurich) Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: MFOEC204 Beachten Sie die Einschreibungstermine an der UZH: Link | W | 3 KP | 3V | Uni-Dozierende | |
Kurzbeschreibung | American Options, Stochastic Volatility, Lévy Processes and Option Pricing, Exotic Options, Transaction Costs and Real Options. | |||||
Lernziel | The course focuses on the theoretical foundations of modern derivative pricing. It aims at deriving and explaining important option pricing models by relying on some mathematical tools of continuous time finance. A particular focus on jump processes is given. The introduction of possible financial crashes is now essential in some models and a clear understanding of Poisson processes is therefore important. A standard background in stochastic calculus is required. | |||||
Inhalt | Stochastic volatility models Itô's formula and Girsanov theorem for jump-diffusion processes The pricing of options in presence of possible discontinuities Exotic options Transaction costs | |||||
Skript | See: Link | |||||
Literatur | See: Link | |||||
Voraussetzungen / Besonderes | This course replaces "Continuous Time Quantitative Finance" (MFOEC108), which will be discontinued. Students who have taken "Continuous Time Quantitative Finance" (MFOEC108) in the past, are not allowed to book this course "Continuous Time Quantitative Finance" (MFOEC204). | |||||
227-0662-00L | Organic and Nanostructured Optics and Electronics (Course) | W | 3 KP | 2G | V. Wood | |
Kurzbeschreibung | This course examines the optical and electronic properties of excitonic materials that can be leveraged to create thin-film light emitting devices and solar cells. Laboratory sessions provide students with experience in synthesis and optical characterization of nanomaterials as well as fabrication and characterization of thin film devices. | |||||
Lernziel | Gain the knowledge and practical experience to begin research with organic or nanostructured materials and understand the key challenges in this rapidly emerging field. | |||||
Inhalt | 0-Dimensional Excitonic Materials (organic molecules and colloidal quantum dots) Energy Levels and Excited States (singlet and triplet states, optical absorption and luminescence). Excitonic and Polaronic Processes (charge transport, Dexter and Förster energy transfer, and exciton diffusion). Devices (photodetectors, solar cells, and light emitting devices). | |||||
Literatur | Lecture notes and reading assignments from current literature to be posted on website. | |||||
227-0662-10L | Organic and Nanostructured Optics and Electronics (Project) | W | 3 KP | 2A | V. Wood | |
Kurzbeschreibung | This course examines the optical and electronic properties of excitonic materials that can be leveraged to create thin-film light emitting devices and solar cells. Laboratory sessions provide students with experience in synthesis and optical characterization of nanomaterials as well as fabrication and characterization of thin film devices. | |||||
Lernziel | Gain the knowledge and practical experience to begin research with organic or nanostructured materials and understand the key challenges in this rapidly emerging field. | |||||
Inhalt | 0-Dimensional Excitonic Materials (organic molecules and colloidal quantum dots) Energy Levels and Excited States (singlet and triplet states, optical absorption and luminescence). Excitonic and Polaronic Processes (charge transport, Dexter and Förster energy transfer, and exciton diffusion). Devices (photodetectors, solar cells, and light emitting devices). | |||||
Literatur | Lecture notes and reading assignments from current literature to be posted on website. | |||||
Voraussetzungen / Besonderes | Admission is conditional to passing 227-0662-00L Organic and Nanostructured Optics and Electronics (Course) | |||||
262-0200-00L | Bayesian Phylodynamics | W | 4 KP | 2G + 2A | T. Stadler, T. Vaughan | |
Kurzbeschreibung | How fast was Ebola spreading in West Africa? Where and when did the epidemic outbreak start? How can we construct the phylogenetic tree of great apes, and did gene flow occur between different apes? Students will be able to perform their own phylodynamic analysis of genetic sequencing and independent data analysis to characterize future epidemic outbreaks or reconstruct parts of the tree of life. | |||||
Lernziel | Attendees will extend their knowledge of Bayesian phylodynamics obtained in the “Computational Biology” class (636-0017-00L) and will learn how to apply this theory to real world data. The main theoretical concepts introduced are: * Bayesian statistics * Phylogenetic and phylodynamic models * Markov Chain Monte Carlo methods Attendees will apply these concepts to a number of applications yielding biological insight into: * Epidemiology * Pathogen evolution * Macroevolution of species | |||||
Inhalt | In the first part of the semester, in each week, we will first present the theoretical concepts of Bayesian phylodynamics. The presentation will be followed by attendees using the software package BEAST v2 to apply these theoretical concepts to empirical data. We use previously published datasets on e.g. Ebola, Zika, Yellow Fever, Apes, and Penguins for analysis. Examples of these practical tutorials are available on Link. In the second part of the semester, the students choose an empirical dataset of genetic sequencing data and possibly some non-genetic metadata. They then design and conduct a research project in which they perform Bayesian phylogenetic analyses of their dataset. The weekly class is intended to discuss and monitor progress and to address students’ questions very interactively. At the end of the semester, the students present their research project in an oral presentation. The content of the presentation, the style of the presentation, and the performance in answering the questions after the presentation will be marked. | |||||
Skript | Lecture slides will be available on moodle. | |||||
Literatur | The following books provide excellent background material: • Drummond, A. & Bouckaert, R. 2015. Bayesian evolutionary analysis with BEAST. • Yang, Z. 2014. Molecular Evolution: A Statistical Approach. • Felsenstein, J. 2003. Inferring Phylogenies. The tutorials in this course are based on our Summer School “Taming the BEAST”: Link | |||||
Voraussetzungen / Besonderes | This class builds upon the content which we taught in the Computational Biology class (636-0017-00L). Attendees must have either taken the Computational Biology class or acquired the content elsewhere. | |||||
701-1708-00L | Infectious Disease Dynamics | W | 4 KP | 2V | S. Bonhoeffer, R. D. Kouyos, R. R. Regös, T. Stadler | |
Kurzbeschreibung | This 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. | |||||
Lernziel | Attendees 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"). | |||||
Inhalt | After 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. | |||||
Skript | Slides and script of the lecture will be available online. | |||||
Literatur | The 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 | |||||
Voraussetzungen / Besonderes | Basic knowledge of population dynamics and population genetics as well as linear algebra and analysis will be an advantage. |
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