The Data and Web Science seminar covers recent topics in data and web science. This term's seminar is for BSc students only and focuses on selected topics in machine learning.
In this seminar, you will
Register via Portal 2 until Sep 4.
If you are accepted into the seminar, provide at least 4 topic areas ranked by your preference (see below for details) by Sep 10 via email to Adrian Kochsiek. The actual assignment takes place soon afterwards; we will notify you via email. Our goal is to assign one of your preferred topic areas to you.
You will be assigned a topic area in an active, relevant field of machine learning based your preferences. Your goals in this seminar are
You are generally free to propose your topic area of interest. Your area needs to be (i) an active, relevant area in machine learning, (ii) not part of the BSc Wifo (and, in particular, Wifo 4), and (iii) not solely refer to a general architecture (such as RNNs, CNNs, Transformers) or a very narrow subfield. If unsure, ask us upfront.
Some examples of suitable topic areas include: