Teaching during the Corona Crisis

Bear with us, we will get through this together!

The Corona crisis poses monumental challenges to campus life. We are doing our best to mitigate it, and we hope for your understanding that many things will be improvised in the coming weeks. On this page, which will be regularly updated, you will find information about how the lecture course Probabilistic Machine Learning will be conducted. 

 

The current plan, in brief, is as follows: 

  • All lectures will be pre-recorded and published on youtube, a few days in advance (precise dates and links will be listed here in due course)
  • Every week on Tuesday, 10ct-12 (i.e. during the scheduled second lecture of the week), a flipped classroom will be held via a livestream, where you can post questions refering to the content of the recorded lectures to Prof. Hennig. Details here in due course.
  • Starting from 27 April, every week on Monday, 10ct-12 (i.e. during the scheduled first lecture of the week), a plenary tutorial session will be held (we are trying to set up a symmetric video setup for this). During this time the exercises of the week will be discussed, and it is your chance to chime in with questions, comments, discussion and ideas.
  • If and when the general situation becomes more normal and it becomes possible to hold public lectures again, we will immediately switch back to the traditional format of lectures in the lecture hall. We will continue to record lectures and put them on youtube, but will stop streaming the tutorials.

How to sign up:
 If you are a student in Tübingen and want to participate in the course for credit, you can directly sign up on Ilias via this link (warning, clicking this link will automatically sign you up directly). Ilias will be used to disseminate passwords and other credentials for the tutorials, to ensure that these events remain available to eligible students.

We know you have many questions. Unless it is a very specific question, we ask you to hold on to it for the moment while we roll out the setup, and ask them in the first flipped classroom, on Tuesday, 21 April 2020.

Teaching in the Summer Term 2020

Lecture Probabilistic Machine Learning (ML 4202) 
Lectures on Mondays, 10ct-12, Lecture Hall 8 in the Neue Aula, and Tuesdays, 10ct-12, Lecture Hall 1 in the Neue Aula. Dates of Tutorials will be fixed in the first week.

  • more details in Ilias

Software Project: 
Automated Sports-Prediction for the Bundesliga (National Soccer League) (3 Groups)

Teaching in the Winter Term 2019/20

Lecture Data Literacy (ML 4102) (with Prof. Dr. Kay Nieselt)
Tuesdays, 10ct-12, MvL6 Lecture Hall, Tutorials directly afterward, 12-14, same room

Software Project: 
Automated Sports-Prediction for the Bundesliga (National Soccer League) (3 Groups)

Teaching in the Summer Term 2019

Lecture Numerics of Machine Learning (ML4301)

within this course: Special Lecture for Future on 19. June 2019. Slides can be found here.

Seminar Technical Aspects of Societal Challenges to Machine Learning
Block event on 27 and 28 June 2019. Note: There is a preparatory meeting on 17. April 2019, in Room C118a

Software Project: 
Automated Sports-Prediction for the Bundesliga (National Soccer League) (4 Groups)

Teaching in the Winter Term 2018/19

Lecture Probabilistic Inference and Learning

Software Project: 
Automated Sports-Prediction for the Bundesliga (National Soccer League)