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Sven Jäger
Research assistant
Fakultät II - Mathematik und Naturwissenschaften
Institut für Mathematik, Sekr. MA 5-2
Technische Universität Berlin
Straße des 17. Juni 136
10623 Berlin
Germany
E-Mail: jaeger #at# math.tu-berlin.de
Tel.: +49 (0)30 314-21095
Fax: +49 (0)30 314-25191
Room: MA 511
Consultation hours: Tuesday 5:00 pm. Please send me an email before Tuesday noon in order to get the zoom link.
Teaching
Summer 2021 | Computerorientierte Mathematik II (theoretical exercises) |
Winter 2020/21 | Introduction to Linear and Combinatorial Optimization (ADM I) |
Summer 2020 | Discrete Optimization (ADM II) |
Winter 2019/20 | Introduction to Linear and Combinatorial Optimization (ADM I) |
Summer 2019 | Discrete Optimization (ADM II) |
Winter 2018/19 | Introduction to Linear and Combinatorial Optimization (ADM I) |
Summer 2018 | Computerorientierte Mathematik II (programming exercises) |
Winter 2017/18 | Computerorientierte Mathematik I (programming exercises) |
Summer 2017 | Computerorientierte Mathematik II (theoretical exercises) |
Winter 2016/17 | Computerorientierte Mathematik I (theoretical exercises) |
Curriculum Vitae
Since July 2016 | Doctoral student with Martin Skutella, Technische Universität Berlin |
2013 - 2016: | Master studies in Mathematics and in Applied Computer Science at Georg-August-Universität Göttingen, Germany. |
2010 - 2013: | Bachelor studies in Mathematics and in Applied Computer Science at Georg-August-Universität Göttingen, Germany. |
2010: | Abitur at Hainberg-Gymnasium Göttingen |
Talks
- Approximating Total Weighted Completion Time on Identical Parallel Machines with Precedence Constraints and Release Dates MAPSP 2019 PDF, 292 KB
- Generalizing the Kawaguchi-Kyan Bound to Stochastic Parallel Machine Scheduling COW 2018, STACS 2018, ISMP 2018, BMS-BGSMath Junior Meeting 2019, FRICO 2019 PDF, 232 KB
- Gray codes and symmetric chains ICALP 2018 PDF, 381 KB
- On orthogonal symmetric chain decompositions EUROCOMB 2019 PDF, 449 KB
- Scheduling Stochastic Jobs with Release Dates on a Single Machine Dagstuhl Seminar Scheduling 2020 PDF, 457 KB
Zusatzinformationen / Extras
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