Winter Term 2021/22

All required information and all links to platforms for our courses are collected on this website. Please, do not write individual emails to the teachers, but use the online courses and platforms instead.

 

Bach­elor:

Lecture starting date: Monday, 25th October 2021
Exercise starting date: Monday, 1st November 2021

The lecture will be held online. There will be a mixture of videos and live sessions via Zoom which summarizes the topics from the prior week and give an outlook for the following week. The exercises will be held online and in presence. Please register to the Moodle course for further instructions.

 

Contact information:

Name: Tuan Pham Minh, Marek Herde, Mohamed Hassouna

E-Mail: stochastik[at]uni-kassel[dot]de

 

Lecture starting date: Tuesday, 26th October 2021, 6.00 pm

Exercise starting date: Wednesday, 27th October 2021, 6.00 pm

 

Both the lecture and the exercises take place digitally. Slides, exercise sheets, videos and other materials can be found on the Moodle page of the lecture.

 

Kontaktperson:

Name: Benjamin Herwig

E-Mail: bherwig[at]uni-kassel[dot]de

 

The Introduction of the seminar is on the 25th October 2021 from 13.00 to 14.00

 

The introduction to the seminar will be virtual. Information on the seminar content and procedure can be found here: https://www.uni-kassel.de/eecs/en/sections/intelligent-embedded-systems/teaching/course-overview/seminar-machine-learning-/-organic-computing Are you interested, then just join us at the introduction event. If you have any questions, please contact me.

 

Contact:

Name: Florian Heidecker

E-Mail: florian.heidecker[at]uni-kassel[dot]de

 

Meeting-room: https://uni-kassel.webex.com/uni-kassel/j.php?MTID=m39af0949853ae815857f65e350462725

Meeting Passwort: rbJ85wVJsp2

 

Mas­ter:

Both the lecture and the exercises take place online. Please subscribe to the Moodle course. We will publish the dates, topics, materials, and access via Zoom there.

 

Further information: Course Overview

 

Contact:

Name: Daniel Kottke

E-Mail: daniel.kottke[at]uni-kassel[dot]de

 

All three phases of the lab will take place digitally. Please enroll in the Moodle course, where the dates, topics, access and materials will be published.

 

Further Information: Course Overview

 

Contact:

Diego Botache

diego.botache[at]uni-kassel[dot]de>

Jens Decke

jens.decke[at]uni-kassel[dot]de>

 

Lecture starting date: Wednesday, 27th October 2021 from 12.00  - 2.00 pm
Exercise starting date: Friday, 29 October 2021 from 10 to 12.00 am

 

The course experimentation and evaluation in machine learning (E2ML) gives an introduction to the systematic and careful use of ML techniques. A prototypical ML process is run through starting with data acquisition (i.e., experimentation) and ending with the presentation of results (i.e., evaluation). The organization of the course follows a blended learning approach by combining classroom teaching (i.e., traditional lectures) and computer-mediated learning (i.e., implementation exercise). The starting point of the course is an overview of the prototypical ML process for orientation. Concrete topics of subsequent lectures will be the foundations of machine learning, an overview of stochastic, data preprocessing techniques, experimentation methods, and core elements of an evaluation. In a final exercise, a reproducible evaluation study over several data sets and with different ML models will be conducted. At the end of the course E2ML, the students have a basic overview of the process from planning experiments for data collection to the evaluation of ML results.

 

Contact:

Name: Josephine Thomas,

E-Mail: jthomas[at]uni-kassel[dot]de

 

Online or In Presence Event: To be determined after completion of the survey in the Moodle Course

 

Lecture starting date: Monday, 25th October 2021

Exercise starting date: Monday, 25th October 2021

 

Both the lecture and the exercises take place online.

 

Further information: Veranstaltungsübersicht

 

Contact:

Huseljic, Denis

dhuseljic[at]uni-kassel[dot]de

 

Zoom-Links:

Lectures: https://uni-kassel.zoom.us/j/98904921606

Exercises:https://uni-kassel.zoom.us/j/99914234960

 

The Introduction of the seminar is on the 25th October 2021 from 13.00 to 14.00

 

The introduction to the seminar will be virtual. Information on the seminar content and procedure can be found here: https://www.uni-kassel.de/eecs/en/sections/intelligent-embedded-systems/teaching/course-overview/seminar-machine-learning-/-organic-computing Are you interested, then just join us at the introduction event. If you have any questions, please contact me.

 

Contact:

Name: Florian Heidecker

E-Mail: florian.heidecker[at]uni-kassel[dot]de

 

Meeting-room: https://uni-kassel.webex.com/uni-kassel/j.php?MTID=m39af0949853ae815857f65e350462725

Meeting Passwort: rbJ85wVJsp2