Vorlesungen Data Science


Frühjahrsemester 2024 

 

Titel

Dozierende               

KP

Zeit

Mathematical Foundations

57241

Fundamentals of Causal Inference

Giusi Moffa

6 KP

Mo 14:15-16:00
Mi 12:15-14:00

     

Machine learning Foundations

17165

Machine Learning *

Volker Roth        

 8 KP   

Di 10:15-12:00
Mi 14:15-16:00
Mi 16:15-18:00

13548

Foundations of Artificial Intelligence

Thomas Keller
Florian Pommerening

8 KP

Mo 16:15-18:00
Mi 14:15-16:00
Mi 16:15-18:00

45366

Machine Intelligence

Marcel Lüthi            
Volker Roth

6 KP

Mo 10:15-12:00

60876

Mathematical and Computational Biology in Drug Discovery

Jitao David Zhang

2 KP

Fr 12:15-14:00

     

Systems Foundations

15728

Computer Networks

Christian Tschudin

4 KP

Fr 10:15-12:00 
Mo 14:15-15:00

15729

Distributed Information Systems

Heiko Schuldt

4 KP

Mi 10:15-12:00 
Mi 12:15-14:00

17164

High Performance Computing

Florina M. Ciorba

4 KP

Do 10:15-12:00
Do 12:15-14:00

67923

Continuous Optimization

Aurelien Lucchi

6 KP

Do 16:15-18:00
Mo 16:15-18:00

67924

Privacy-Preserving Methods for Data Science and Distributed Systems

Isabel Wagner

6 KP

Mo 16:15-18:00
Fr 12:15-14:00

     

Electives in Data Science

 

  

28420

Principles of Medical Imaging

Philippe Claude Cattin

3 KP

Mi 10:15-12:00

28935

Computer Modeling of Adverse Effects

Martin Smiesko

1 KP

Fr. 13:15-15:00

49935

Applied Statistics Using R

Thomas Fabbro

6 KP

Mo 13:15-16:00

53822

Advanced Methods in Medical Image Analysis

Philippe Claude Cattin

3 KP

Mi 15:15-17:00

58920

Causal Inference for Policy Evaluation

Conny Wunsch

6 KP

Do 09:15-16:00

60876

Mathematical and Computational Biology in Drug Discovery

Jitao David Zhang

2 KP

Fr 12:15-14:00

64323

Applied Programming Projects

Lukas Rosenthaler

3 KP

Mo 10:15-12:00

64324

History and Technology of Computers and Internet

Lukas Rosenthaler

3 KP

Mo 16:15-18:00

64375

Databases in Digital Humanities

Lukas Rosenthaler

2 KP

Di 14:15-16:00

66152

Advanced Python for Humanities

Alassi Sepideh

4 KP

Do 10:15-12:00

70674

Applied Actuarial Learning

Jürg Schelldorfer

3 KP

Mo 14:15-18:00    

71045

Kernbasierte Approximation 

Rüdiger Kempf

6 KP

Do 14:15-16:00

71046

Kinetic theory 

Leopold Nikolai

2 KP

Mi 16:15-18:00

 
* Diese Vorlesungen sind für alle Data Science Studenten Pflicht. Die übrigen Vorlesungen in den einzelnen Modulen können anhand der vorgegebenen Empfehlungsliste frei gewählt werden.