Adam Andrzej Kurpisz: Catalogue data in Spring Semester 2020

Name Dr. Adam Andrzej Kurpisz
Address
Institut für Operations Research
ETH Zürich, HG G 22.1
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 40 17
E-mailadam.kurpisz@ifor.math.ethz.ch
URLhttp://n.ethz.ch/~kurpisza/
DepartmentMathematics
RelationshipLecturer

NumberTitleECTSHoursLecturers
401-3900-16LAdvanced Topics in Discrete Optimization Information Restricted registration - show details
Number of participants limited to 12.
4 credits2SC. Angelidakis, A. A. Kurpisz, R. Zenklusen
AbstractIn this seminar we will discuss selected topics in discrete optimization. The main focus is on mostly recent research papers in the field of Combinatorial Optimization.
ObjectiveThe goal of the seminar is twofold. First, we aim at improving students' presentation and communication skills. In particular, students are to present a research paper to their peers and the instructors in a clear and understandable way. Second, students learn a selection of recent cutting-edge approaches in the field of Combinatorial Optimization by attending the other students' talks. A very active participation in the seminar helps students to build up the necessary skills for parsing and digesting advanced technical texts on a significantly higher complexity level than usual textbooks.

A key goal is that students prepare their presentations in a concise and accessible way to make sure that other participants get a clear idea of the presented results and techniques.

Students intending to do a project in optimization are strongly encouraged to participate.
ContentThe selected topics will cover various classical and modern results in Combinatorial Optimization.

Contrary to prior years, a very significant component of the seminar will be interactive discussions where active participation of the students is required.
LiteratureThe learning material will be in the form of scientific papers.
Prerequisites / NoticeRequirements: We expect students to have a thorough understanding of topics covered in the course "Mathematical Optimization".