Planning MSc WS21 |------+---------------------------------------------------------------------------+-----+------+----------------+------------------------------------------------------------+---------| | Type | Course | SWS | ECTS | Module | Teacher | Comment | |------+---------------------------------------------------------------------------+-----+------+----------------+------------------------------------------------------------+---------| | VO | Algebraic Number Theory | 4 | 6 | MALZ | BurdeD | | | PS | PS Algebraic Number Theory | 1 | 2 | MALV | BurdeD | | | SE | Seminar Representation Theory and Automorphic Forms (VSM) | 2 | 4 | MALS | MinguezA GrobnerH MellitA | :SPL51: | | SE | Seminar: Algebra | 2 | 4 | MALS | MahnkopfJ | | | VO | Advanced Topics in Algebraic Geometry | 2 | 3 | MALV | MellitA | | | VO | Topics Course Number Theory | 3 | 5 | MALV | MinguezA | | | PS | Topics Course Number Theory | 1 | 2 | MALV | MinguezA | | | VO | Quantum Information, Quantum Computing, and Quantum Algorithms | 4 | 6 | MALV MAMV MLOV | SchuchN | | | PS | Quantum Information, Quantum Computing, and Quantum Algorithms (Gruppe 1) | 2 | 4 | MALV MAMV MLOV | SchuchN | | | PS | Quantum Information, Quantum Computing, and Quantum Algorithms (Gruppe 2) | 2 | 4 | MALV MAMV MLOV | Garre-RubioJ | | | VO | Advanced Complex Analysis | 3 | 5 | MANK | GröchenigK | | | PS | PS Advanced Complex Analysis | 1 | 2 | MANS | GröchenigK | | | VO | Advanced Partial Differential Equations | 3 | 5 | MANP | TeschlG | | | PS | PS Advanced Partial Differential Equations | 1 | 2 | MANS | KarpenkoI | | | SE | MCMP Seminar | 2 | 4 | MANS | DonningerR | | | SE | Topics in Analysis and Geometry | 2 | 4 | MANS MGES | KunzingerM SteinbauerR | | | SE | Optimal Transport and Riemannian Geometry | 2 | 4 | MANS MGES | KunzingerM | | | VO | Frame Theory | 3 | 5 | MANV MAMV | BalazsP | | | VO | Topics in Harmonic Analysis | 4 | 7 | MANV MAMV | RomeroJ | | | VO | Applied Analysis | 4 | 6 | MAMA | MauserN DörflerM | | | VO | Nonlinear Optimization | 4 | 6 | MAMO | NeumaierA | | | SE | Seminar (Optimization) | 2 | 4 | MAMS | BotR | | | SE | Inverse Problems III | 2 | 4 | MAMS | ScherzerO | | | SE | Seminar on Calculus of Variations (VSM) | 2 | 4 | MANS MAMS | StefanelliU | :SPL51: | | SE | DK-Seminar: Dissipation and Dispersion in Nonlinear PDEs (VSM) | 2 | 4 | MANS MAMS | StefanelliU BeiglböckM MauserN PerugiaI SchmeiserC TeschlG | :SPL51: | | SE | Seminar Harmonic Analysis (VSM) | 2 | 4 | MANS MAMS | GröchenigK RomeroJ EhlerM | :SPL51: | | SE | Seminar Applied and Computational PDE | 2 | 4 | MAMS | HittmeirS KazeevV MauserN MarkowichP HahnO | | | VO | Numerics of Partial Differential Equations | 4 | 6 | MAMV MANV | PerugiaI | | | VO | Convex Optimization | 4 | 6 | MAMV | BotR | | | VO | Neural Network Theory | 2 | 3 | MAMV MSTV | PetersenP | | | VU | Tensor methods for data science and scientific computing | 4 | 7 | MAMV | KazeevV | | | VO | Gabor Analysis: From Linear Algebra to Computational Harmonic Analysis | 2 | 3 | MAMV MANV | FeichtingerH(0) | | | VO | Stochastic Processes | 3 | 5 | MSTP MBIP | BerestyckiN | | | PS | Stochastic Processes | 1 | 2 | MSTS MBIV | BerestyckiN | | | VO | Mathematical Ecology | 3 | 5 | MBIE | SchertzerE | | | PS | Introductory Seminar on Mathematical Ecology | 1 | 2 | MBIS | SchertzerE | | | SE | AG Biomathematics (VSM) | 2 | 4 | MBIS | HermissonJ SchertzerE | :SPL51: | | SE | Seminar (Mathematical Population Genetics) | 2 | 4 | MBIS | HermissonJ SchertzerE | | | VO | Mathematical models of chemical and metabolic networks | 2 | 3 | MBIV | MüllerSt | | | VO | Introduction to complex network analysis | 2 | 3 | MBIV MAMV | MencheJ | | | PS | Introduction to complex network analysis | 1 | 2 | MBIV MAMV | MencheJ | | | VO | Riemannian Geometry | 2 | 3 | MGED | CapA | | | VO | Lie Groups | 3 | 5 | MGEL | KunzingerM | | | PS | Lie Groups | 1 | 2 | MGES | KunzingerM | | | VO | Algebraic Topology | 4 | 6 | MGET | VertesiV | | | PS | Algebraic Topology | 1 | 2 | MGES | StenhedeE | | | VO | G-Structures | 3 | 5 | MGEV | CapA | | | VO | Introduction to Mathematical Logic | 4 | 6 | MLOL | AschenbrennerM | | | PS | Introductory Seminar on Mathematical Logic | 2 | 3 | MLOL | GehretA | | | SE | Research seminar in set theory | 2 | 4 | MLOS | FischerV | | | SE | Research seminar in model theory | 2 | 4 | MLOS | AschenbrennerM GehretA | | | VO | Model theory | 3 | 5 | MLOV | AschenbrennerM | | | VO | Special Topics in Set Theory | 3 | 5 | MLOV | SwitzerC | | | SE | Logic Colloquium | 2 | 4 | MLOS | FischerV(0) AschenbrennerM(0) MillerB(0) | | | VO | Measure and Integration Theory | 4 | 6 | MSTM | GlazmanA | | | PS | Measure and Integration Theory | 1 | 2 | MSTS | ZhangX | | | SE | Stochastics and Dynamical Systems | 2 | 4 | MSTS | BeiglböckM BerestyckiN | | | SE | AG Ergodic Theory | 2 | 4 | MSTS | BruinH ZweimüllerR | | | SE | Vienna Seminar in Mathematical Finance and Probability (VSM) | 2 | 4 | MSTS | BeiglböckM BackhoffJ SchachermayerW(0) CucchieroC(0) | :SPL51: | | SE | Vienna Probability Seminar (VSM) | 2 | 4 | MSTS | BerestyckiN BeiglböckM | :SPL51: | | VO | Ergodic Theory | 4 | 6 | MSTV | ZweimüllerR | | | VO | Martingale optimal transport | 2 | 3 | MSTV | SchachermayerW(0) | | | VO | Stochastic Analysis | 3 | 5 | MSTV | LisM | | | PS | Stochastic Analysis | 1 | 2 | MSTV | LisM | | | VO | Topics from Habilitations | 0.5 | 1 | MFE | DonningerR | | |------+---------------------------------------------------------------------------+-----+------+----------------+------------------------------------------------------------+---------| Last modified: Tue Jun 1 13:25:10 2021