2023/2024 Machine learning
An introduction for the natural sciences
Lecturer: Dr. Peter Steinbach
Lectures (every week)
Freitag 4.DS (13:00-14:30), REC/C213
Starting from Dec 1, 2023, attending the lecture is considered optional. Lecture topics will be announced prior to the lecture.
Lab/Lectures (every even week)
Donnerstag 4.DS (13:00-14:30), CHE/0184
Starting from Dec 1, 2023, attending the lab is not required anymore. Peter Steinbach will not be at the seminar room. You can use the room, if you like for working on the capstone project. In addition, during this time slot consultations regarding the capstone project are offered. Every group that requires help, can get a 20min slot during these consultations on zoom (See the video conference details below.)
Important Details:
- This lecture will be given entirely in English.
- Please use the enrollment to be part of the lecture. As I am teaching alone, I chose to limit participation to 20 students.
- The lecture comprises 3 SWS and 4.5 ECTS credits if this is needed.
- The lecture comprises, lectures, labs and potentially capstone projects. If you like to pass the lecture, you have to pursue a capstone project.
Video conference details (if required):
Topic: Introduction to Machine Learning
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://hzdr-de.zoom-x.de/j/86838181015?pwd=MWtReFRSSFBGdXN3a3NKb2NHQVkwUT09
Meeting ID: 868 3818 1015
Passcode: 355491
Important Dates for Capstone projects:
project handout to students: Dec 1, 2023
summary paper submission: Jan 19, 2024
review submission deadline: Jan 26, 2024
poster submission for print: Jan 31, 2024
final poster session: Feb 2, 2024