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252-0945-18L 2 Credits DR D-INFK

Doctoral Seminar Machine Learning (FS24)

Lecturers & Examiners: Prof. em. Dr. Joachim M. Buhmann, Prof. Dr. Thomas Hofmann, Prof. Dr. Fan Yang, Prof. Dr. Gunnar Rätsch, Prof. Dr. Julia Vogt, Prof. Dr. Valentina Boeva, Prof. Dr. Mrinmaya Sachan, Prof. Dr. Ryan Cotterell, Prof. Dr. Niao He
Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar.
VVZ CR n/a

Last Updated: 2026-02-05 16:38:17

Abstract

An essential aspect of any research project is dissemination of the findings arising from the study. Here we focus on oral communication, which includes: appropriate selection of material, preparation of the visual aids (slides and/or posters), and presentation skills.

Objective

The seminar participants should learn how to prepare and deliver scientific talks as well as to deal with technical questions. Participants are also expected to actively contribute to discussions during presentations by others, thus learning and practicing critical thinking skills.

Content

Following the successful format of the previous semester, we will conduct 3 mini-workshop style sessions of about 2-3 hours in duration. Scheduling is TBD.

General Information

Language
English
Levels
DR
Frequency
Semesterly recurring

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
seminar Doctoral Seminar Machine Learning
The exact dates and location of the seminar will be scheduled separately and communicated through email.
No time listed 1 h weekly

Offered In