## Afonso Bandeira: Catalogue data in Autumn Semester 2021 |

Name | Prof. Dr. Afonso Bandeira |

Field | Mathematics |

Address | Professur für Mathematik ETH Zürich, HG G 23.1 Rämistrasse 101 8092 Zürich SWITZERLAND |

Telephone | +41 44 632 79 54 |

bandeira@math.ethz.ch | |

Department | Mathematics |

Relationship | Full Professor |

Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|

401-3940-71L | Student Seminar in Mathematics and Data: Stochastic Optimization Number of participants limited to 12. | 4 credits | 2S | A. Bandeira, G. Chinot, N. Zhivotovskii | |

Abstract | |||||

Objective | |||||

401-4944-20L | Mathematics of Data Science | 8 credits | 4G | A. Bandeira | |

Abstract | Mostly self-contained, but fast-paced, introductory masters level course on various theoretical aspects of algorithms that aim to extract information from data. | ||||

Objective | Introduction to various mathematical aspects of Data Science. | ||||

Content | These topics lie in overlaps of (Applied) Mathematics with: Computer Science, Electrical Engineering, Statistics, and/or Operations Research. Each lecture will feature a couple of Mathematical Open Problem(s) related to Data Science. The main mathematical tools used will be Probability and Linear Algebra, and a basic familiarity with these subjects is required. There will also be some (although knowledge of these tools is not assumed) Graph Theory, Representation Theory, Applied Harmonic Analysis, among others. The topics treated will include Dimension reduction, Manifold learning, Sparse recovery, Random Matrices, Approximation Algorithms, Community detection in graphs, and several others. | ||||

Lecture notes | https://people.math.ethz.ch/~abandeira/BandeiraSingerStrohmer-MDS-draft.pdf | ||||

Prerequisites / Notice | The main mathematical tools used will be Probability, Linear Algebra (and real analysis), and a working knowledge of these subjects is required. In addition to these prerequisites, this class requires a certain degree of mathematical maturity--including abstract thinking and the ability to understand and write proofs. We encourage students who are interested in mathematical data science to take both this course and ``227-0434-10L Mathematics of Information'' taught by Prof. H. Bölcskei. The two courses are designed to be complementary. A. Bandeira and H. Bölcskei | ||||

401-5000-00L | Zurich Colloquium in Mathematics | 0 credits | R. Abgrall, M. Iacobelli, A. Bandeira, A. Iozzi, S. Mishra, R. Pandharipande, University lecturers | ||

Abstract | The lectures try to give an overview of "what is going on" in important areas of contemporary mathematics, to a wider non-specialised audience of mathematicians. | ||||

Objective | |||||

401-5620-00L | Research Seminar on Statistics | 0 credits | 1K | P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer, A. Bandeira, R. Furrer, L. Held, T. Hothorn, D. Kozbur, M. Wolf | |

Abstract | Research colloquium | ||||

Objective | |||||

401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 credits | 1K | M. Kalisch, F. Balabdaoui, A. Bandeira, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, M. Robinson, C. Strobl, S. van de Geer | |

Abstract | About 5 talks on applied statistics. | ||||

Objective | See how statistical methods are applied in practice. | ||||

Content | There will be about 5 talks on how statistical methods are applied in practice. | ||||

Prerequisites / Notice | This is no lecture. There is no exam and no credit points will be awarded. The current program can be found on the web: http://stat.ethz.ch/events/zukost Course language is English or German and may depend on the speaker. | ||||

401-5660-00L | DACO Seminar | 0 credits | 1K | A. Bandeira | |

Abstract | Research colloquium | ||||

Objective | |||||

401-5680-00L | Foundations of Data Science Seminar | 0 credits | P. L. Bühlmann, A. Bandeira, H. Bölcskei, F. Yang | ||

Abstract | Research colloquium | ||||

Objective | |||||

401-5900-00L | Optimization Seminar | 0 credits | A. Bandeira, R. Weismantel, R. Zenklusen | ||

Abstract | Lectures on current topics in optimization | ||||

Objective | Expose graduate students to ongoing research acitivites (including applications) in the domain of otimization. | ||||

Content | This seminar is a forum for researchers interested in optimization theory and its applications. Speakers are expected to stimulate discussions on theoretical and applied aspects of optimization and related subjects. The focus is on efficient algorithms for continuous and discrete optimization problems, complexity analysis of algorithms and associated decision problems, approximation algorithms, mathematical modeling and solution procedures for real-world optimization problems in science, engineering, industries, public sectors etc. |