Afonso Sousa Bandeira: Catalogue data in Autumn Semester 2021

Name	Prof. Dr. Afonso Sousa Bandeira
Field	Mathematics
Address	Institut für Operations Research ETH Zürich, HG G 23.1 Rämistrasse 101 8092 Zürich SWITZERLAND
Telephone	+41 44 632 79 54
E-mail	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. Sousa Bandeira, G. Chinot, N. Zhivotovskii
Abstract
Learning objective
401-4944-20L	Mathematics of Data Science	8 credits	4G	A. Sousa 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.
Learning 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. Iozzi, S. Mishra, R. Pandharipande, A. Sousa Bandeira, 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.
Learning objective
401-5620-00L	Research Seminar on Statistics	0 credits	1K	P. L. Bühlmann, M. H. Maathuis, N. Meinshausen, S. van de Geer, R. Furrer, L. Held, T. Hothorn, D. Kozbur, A. Sousa Bandeira, M. Wolf
Abstract	Research colloquium
Learning objective
401-5640-00L	ZüKoSt: Seminar on Applied Statistics	0 credits	1K	M. Kalisch, F. Balabdaoui, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, M. Robinson, A. Sousa Bandeira, C. Strobl, S. van de Geer
Abstract	About 5 talks on applied statistics.
Learning 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. Sousa Bandeira
Abstract	Research colloquium
Learning objective
401-5680-00L	Foundations of Data Science Seminar	0 credits		P. L. Bühlmann, H. Bölcskei, A. Sousa Bandeira, F. Yang
Abstract	Research colloquium
Learning objective
401-5900-00L	Optimization Seminar	0 credits		A. Sousa Bandeira, R. Weismantel, R. Zenklusen
Abstract	Lectures on current topics in optimization
Learning 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.