Afonso Sousa Bandeira: Catalogue data in Autumn Semester 2019

Name Prof. Dr. Afonso Sousa Bandeira
FieldMathematics
Address
Institut für Operations Research
ETH Zürich, HG G 23.1
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 79 54
E-mailbandeira@math.ethz.ch
DepartmentMathematics
RelationshipFull Professor

NumberTitleECTSHoursLecturers
401-5620-00LResearch Seminar on Statistics Information 0 credits2KP. L. Bühlmann, L. Held, T. Hothorn, D. Kozbur, M. H. Maathuis, A. Sousa Bandeira, C. Uhler, S. van de Geer, M. Wolf
AbstractResearch colloquium
Learning objective
401-5640-00LZüKoSt: Seminar on Applied Statistics Information 0 credits1KM. Kalisch, P. L. Bühlmann, R. Furrer, L. Held, T. Hothorn, M. H. Maathuis, M. Mächler, L. Meier, M. Robinson, A. Sousa Bandeira, C. Strobl, C. Uhler, S. van de Geer
AbstractAbout 5 talks on applied statistics.
Learning objectiveSee how statistical methods are applied in practice.
ContentThere will be about 5 talks on how statistical methods are applied in practice.
Prerequisites / NoticeThis 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.
401-5680-00LFoundations of Data Science Seminar Information 0 creditsP. L. Bühlmann, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, A. Sousa Bandeira, C. Uhler, S. van de Geer
AbstractResearch colloquium
Learning objective
401-5900-00LOptimization Seminar Information 0 credits1KA. Sousa Bandeira, R. Weismantel, R. Zenklusen
AbstractLectures on current topics in optimization
Learning objectiveExpose graduate students to ongoing research acitivites (including applications) in the domain of otimization.
ContentThis 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.