Richard Santiago Torres: Katalogdaten im Frühjahrssemester 2021 |
| Name | Herr Dr. Richard Santiago Torres |
| Adresse | Institut für Operations Research ETH Zürich, HG G 22.1 Rämistrasse 101 8092 Zürich SWITZERLAND |
| Telefon | +41 44 632 40 17 |
| richard.santiago@ifor.math.ethz.ch | |
| Departement | Mathematik |
| Beziehung | Dozent |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 401-3900-16L | Advanced Topics in Discrete Optimization  Number of participants limited to 12. | 4 KP | 2S | R. Zenklusen, R. Santiago Torres, V. Traub | |
| Kurzbeschreibung | In 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. | ||||
| Lernziel | The 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. | ||||
| Inhalt | The 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. | ||||
| Literatur | The learning material will be in the form of scientific papers. | ||||
| Voraussetzungen / Besonderes | Requirements: We expect students to have a thorough understanding of topics covered in the course "Mathematical Optimization". | ||||