This ONLINE course will begin on Monday, April 11 at 8:30 a.m. with an introductory lecture explaining the topics and structure of the course.
Tutorials will begin on Tuesday, April 12 at 8:30 a.m.
Most of the lectures will be available in video recordings.
Join our Slack workspace: https://join.slack.com/t/deeplearningf-evs4142/shared_invite/zt-17bts5z28-1VKlJxyIePOIBH4cah0lpg
Tutorial project: https://www.aicrowd.com/challenges/esci-challenge-for-improving-product-search
Zoom: https://uni-bielefeld.zoom.us/j/67461280386?pwd=NUNRSjZHV1FicGlack1JWmJHTDFVZz09
Meeting ID: 674 6128 0386
Passcode: 123123
Frequency | Weekday | Time | Format / Place | Period |
---|
Module | Course | Requirements | |
---|---|---|---|
39-M-Inf-VDM Vertiefung Datamining | Datamining II | Ungraded examination
Graded examination |
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Types of exams and conditions for credits:
Option 1: Oral exam with mark about the lecture topics. Successful oral exam yields 5 credits.
Option 2: Oral exam with questions about a mini-project. Successful mini-project report and oral exam with questions about the mini-project yields 5 credits.