Afonso Bandeira: Katalogdaten im Frühjahrssemester 2020 |
| Name | Herr Prof. Dr. Afonso Bandeira |
| Lehrgebiet | Mathematik |
| Adresse | Institut für Operations Research ETH Zürich, HG G 23.1 Rämistrasse 101 8092 Zürich SWITZERLAND |
| Telefon | +41 44 632 79 54 |
| bandeira@math.ethz.ch | |
| Departement | Mathematik |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 401-3940-20L | Student Seminar in Mathematics and Data: Optimization of Random Functions  Number of participants limited to 12. | 4 KP | 2S | A. Bandeira | |
| Kurzbeschreibung | More information at course webpage: https://people.math.ethz.ch/~abandeira/Spring2020.StudentSeminar.html | ||||
| Lernziel | |||||
| 401-4944-20L | Mathematics of Data Science | 8 KP | 4G | A. Bandeira | |
| Kurzbeschreibung | Mostly self-contained, but fast-paced, introductory masters level course on various theoretical aspects of algorithms that aim to extract information from data. | ||||
| Lernziel | Introduction to various mathematical aspects of Data Science. | ||||
| Inhalt | 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. | ||||
| Skript | https://people.math.ethz.ch/~abandeira/TenLecturesFortyTwoProblems.pdf | ||||
| Voraussetzungen / Besonderes | 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 | ||||
| 401-5620-00L | Research Seminar on Statistics  | 0 KP | 1K | P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer, A. Bandeira, R. Furrer, L. Held, T. Hothorn, D. Kozbur, C. Uhler, M. Wolf | |
| Kurzbeschreibung | Forschungskolloquium | ||||
| Lernziel | |||||
| 401-5640-00L | ZüKoSt: Seminar on Applied Statistics | 0 KP | 1K | M. Kalisch, A. Bandeira, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, N. Meinshausen, M. Robinson, C. Strobl, C. Uhler, S. van de Geer | |
| Kurzbeschreibung | 5 bis 6 Vorträge zur angewandten Statistik. | ||||
| Lernziel | Kennenlernen von statistischen Methoden in ihrer Anwendung in verschiedenen Gebieten, besonders in Naturwissenschaft, Technik und Medizin. | ||||
| Inhalt | In 5-6 Einzelvorträgen pro Semester werden Methoden der Statistik einzeln oder überblicksartig vorgestellt, oder es werden Probleme und Problemtypen aus einzelnen Anwendungsgebieten besprochen. 3 bis 4 der Vorträge stehen in der Regel unter einem Semesterthema. | ||||
| Skript | Bei manchen Vorträgen werden Unterlagen verteilt. Eine Zusammenfassung ist kurz vor den Vorträgen im Internet unter http://stat.ethz.ch/talks/zukost abrufbar. Ankündigunen der Vorträge werden auf Wunsch zugesandt. | ||||
| Voraussetzungen / Besonderes | Dies ist keine Vorlesung. Es wird keine Prüfung durchgeführt, und es werden keine Kreditpunkte vergeben. Nach besonderem Programm. Koordinator M. Kalisch, Tel. 044 632 3435 Lehrsprache ist Englisch oder Deutsch je nach ReferentIn. Course language is English or German and may depend on the speaker. | ||||
| 401-5680-00L | Foundations of Data Science Seminar | 0 KP | P. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, N. Meinshausen, G. Rätsch, C. Uhler, S. van de Geer, F. Yang | ||
| Kurzbeschreibung | Research colloquium | ||||
| Lernziel | |||||
| 401-5900-00L | Optimization Seminar | 0 KP | 1K | A. Bandeira, R. Weismantel, R. Zenklusen | |
| Kurzbeschreibung | Lectures on current topics in optimization. | ||||
| Lernziel | This lecture series introduces graduate students to ongoing research activities (including applications) in the domain of optimization. | ||||
| Inhalt | This seminar is a forum for researchers interested in optimization theory and its applications. Speakers, invited from both academic and non-academic institutions, are expected to stimulate discussions on theoretical and applied aspects of optimization and related subjects. The focus is on efficient (or practical) 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. | ||||