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252-4811-00L 2 Credits BSC D-INFK
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Machine Learning Seminar

Lecturers & Examiners: Prof. Dr. Thomas Hofmann, Prof. Dr. Valentina Boeva
Number of participants limited to 24. The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
VVZ CR 4.67

Last Updated: 2026-02-05 15:35:13

Abstract

Seminal and recent papers in machine learning are presented and discussed.

Objective

The seminar familiarizes students with advanced and recent ideas in machine learning. Original articles have to be presented, contexctualized, and critically reviewed. The students will learn how to structure a scientific presentation in English which covers the key ideas of a scientific paper.

Content

The seminar will cover a number of recent papers which have emerged as important contributions in the machine learning research community. The topics will vary from year to year but they are centered on methodological issues in machine learning like new learning algorithms, ensemble methods or new statistical models for machine learning applications.

Resources

Literature

The papers will be presented and allocated in the first session of the seminar.

Learning Materials (Links)

General Information

Language
English
Levels
BSC
Frequency
Yearly recurring

Examination

Type
graded semester performance

Registration & Places

Max Places
24
Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
seminar Machine Learning Seminar No time listed 2 h weekly

Offered In

  • Computer Science Bachelor
    • Seminar (Um das vorhandene Angebot optimal auszunutzen, behält sich das D-INFK vor, Belegungen von Studierenden zu löschen, die sich in mehreren Veranstaltungen dieser Kategorie eingeschrieben haben, bereits die erforderlichen Leistungen in dieser Kategorie erbracht haben oder aus anderen organisatorischen Gründen nicht auf die Belegung der Veranstaltung angewiesen sind. Es kann auch ein Seminar aus dem Master in Informatik gewählt werden. Es liegt in der Verantwortung der Studierenden, sicherzustellen, dass sie die Voraussetzungen für diese Lehrveranstaltung erfüllen.)