Proseminar:
Emerging Topics in Machine Learning and AI

Proseminar für Bachelor-Studiengänge
im Wintersemester 2024 (LMU, TUM IN0014)

Welcome to the Bachelor's Seminar on "Emerging Topics in Machine Learning and AI" in the winter term 2024/25. Here you will be able to find all the details concerning the seminar.

News


Topics

The list of topics is available now: Seminar Topics The literature indicated there is not cited scientifically. It is intended as a starting point for your own literature research.

Structure

The seminar will imitate a scientific conference. That means:

Master students will be assigned a topic to work on alone, Bachelor students will work on a topic in pairs.

*Seminar spots are in great demand. Therefore, anyone who does not participate in the kick-off event (without giving notice) will lose their seminar spot, which will be re-assigned to another student.

Formal Criteria

The final grade of the seminar is determined by the quality of the scientific paper, presentation, and the contributed reviews. Participation in the final conference is mandatory throughout the whole event, which will take place in person.

The grade will also be impacted by conformance to the templates, conformance to the required page limit and compliance with the presentation rules.

The seminar will be held in English, including end of term presentations, but we explicity encourage also students with shaky English skills to apply - this is an opportunity to learn and we will not hold your language mistakes against you in grading.

Paper criteria:

The paper must meet the following criteria:

Non-conformance to one of the criteria will impact the final grade.

Presentation criteria:

The presentation must meet the following criteria:

Also, please use the MNM-Team Slide Template.

Non-conformance to one of the criteria will impact the final grade.

Downloads

  1. Kick-off slides
  2. Topic Assignment

Timeline

Lectures and Events:

The Kick-off meeting for the seminar will take place in room 161 (Oettingenstr. 67) on Wed. Oct. 16, 2024 from 5 - 7 pm.

Contact

Questions, feedback and suggestions are always welcome. Please use the seminar-specific e-mail address seminar@nm.ifi.lmu.de.


Last Change: Wed, 26 Jun 2024 09:15:26 +0200 - Viewed on: Fri, 01 Nov 2024 07:32:46 +0100
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