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Elements of Data Science and Artificial Intelligence
Prof. Dr. Jens Dittrich
,
Prof. Dr. Jörg Hoffmann
,
Thorsten Klößner
,
Prof. Dr. Bernt Schiele
,
Dr. Sebastian Schuster
Timetable
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Exam
Exercise Sheet
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Lecture
Office Hour
Tutorial
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Deadline
Exam
Exercise Sheet
Holiday
Lecture
Office Hour
Tutorial
Title
Type
Location
Serial
Start
End
All Day
Winter Holiday
Holiday
26.12.22
N/A
Yes
Tutorial Michel
Tutorial
E1.3 SR016
10.02.23
10.02.23
No
Office Hour
Office Hour
E1.3 SR015
16.02.23
16.02.23
No
Introduction to Data Science (Prof. Jens Dittrich)
Lecture
HS002
1
31.10.22
31.10.22
No
Assignment 5: Machine Learning + Alpha Go
Exercise Sheet
3
15.12.22
21.12.22
No
Introduction to Artificial Intelligence (Prof. Jörg Hoffmann)
Lecture
HS002
2
03.11.22
03.11.22
No
Alpha Go (deep Q-learning, game search) (Thorsten Klößner)
Lecture
HS002
2
09.01.23
09.01.23
No
Exam
Exam
Günter-Hotz-Hörsaal
23.02.23
23.02.23
No
Machine Learning Basics (non-ANN) (Prof. Bernt Schiele)
Lecture
HS002
2
01.12.22
01.12.22
No
Guest lecture: Using Data Science to Study Society (Prof. Ingmar Weber)
Lecture
HS002
1
07.11.22
07.11.22
No
Self-Driving Cars (Prof. Bernt Schiele)
Lecture
HS002
2
06.02.23
06.02.23
No
Self-Driving Cars (Prof. Bernt Schiele)
Lecture
HS002
1
09.02.23
09.02.23
No
Big Data & Databases 2 (Prof. Jens Dittrich)
Lecture
HS002
2
24.11.22
24.11.22
No
Machine Learning ANNs (Prof. Bernt Schiele)
Lecture
HS002
1
05.12.22
05.12.22
No
[Online] Alpha Go (MDPs, value iteration, Q-learning) (Thorsten Klößner)
Lecture
Zoom https://cs-uni-saarland-de.zoom.us/j/9425369212
2
05.01.23
05.01.23
No
[Online] Alpha Go (heuristic search, MCTS, RL intro.) (Thorsten Klößner)
Lecture
Zoom https://cs-uni-saarland-de.zoom.us/j/9425369212
1
19.12.22
19.12.22
No
Self-Driving Cars (Prof. Bernt Schiele)
Lecture
HS002
1
02.02.23
02.02.23
No
NLP 1: Dialog System, Speech Recognition, Language Model (Dr. Sebastian Schuster)
Lecture
HS002
2
16.01.23
16.01.23
No
NLP 2: Syntax and Context Free Grammar (Dr. Sebastian Schuster)
Lecture
HS002
1
19.01.23
19.01.23
No
NLP 3: Neural Language Model (Dr. Sebastian Schuster)
Lecture
HS002
2
23.01.23
23.01.23
No
Machine Learning Basics in Python (Joris Nix)
Lecture
HS002
2
08.12.22
08.12.22
No
Python 1 (Joris Nix)
Lecture
HS002
2
10.11.22
10.11.22
No
Data Handling and Cleaning in Python (Prof. Jens Dittrich)
Lecture
HS002
2
17.11.22
17.11.22
No
Assignment 0: Vagrant
Exercise Sheet
3
03.11.22
09.11.22
No
Tutorial Leonard
Lecture
E1.1 SR3.06
14.02.23
14.02.23
No
Assignment 6: Alpha Go
Exercise Sheet
3
09.01.23
15.01.23
No
Tutorial preference deadline
Deadline
05.11.22
05.11.22
No
CMS registration deadline
Deadline
03.11.22
03.11.22
No
NLP 4: Semantics (Dr. Sebastian Schuster)
Lecture
HS002
1
26.01.23
26.01.23
No
Assignment 9: NLP
Exercise Sheet
3
30.01.23
05.02.23
No
Tutorial Lisa
Tutorial
E1.3 SR015
13.02.23
13.02.23
No
Alpha Go (evaluation functions, AlphaGo) (Thorsten Klößner)
Lecture
HS002
1
12.01.23
12.01.23
No
Alpha Go (search basics) (Thorsten Klößner)
Lecture
HS002
2
15.12.22
15.12.22
No
Assignment 3: Machine Learning
Exercise Sheet
3
01.12.22
07.12.22
No
Tutorial Michel
Lecture
E1.3 SR016
17.02.23
17.02.23
No
General Introduction (Prof. Jens Dittrich)
Lecture
HS002
2
27.10.22
27.10.22
No
Exam inspection
Office Hour
E1.1 SR3.06
03.03.23
03.03.23
No
Machine Learning Backpropagation (Prof. Bernt Schiele)
Lecture
HS002
1
12.12.22
12.12.22
No
Re-exam
Exam
Günter-Hotz-Hörsaal
23.03.23
23.03.23
No
Assignment 8: NLP
Exercise Sheet
3
23.01.23
29.01.23
No
Big Data & Databases 1 (Prof. Jens Dittrich)
Lecture
HS002
1
21.11.22
21.11.22
No
Assignment 7: Alpha Go + NLP
Exercise Sheet
3
16.01.23
22.01.23
No
Assignment 10: Self-Driving Cars
Exercise Sheet
3
06.02.23
12.02.23
No
NLP 5: Machine Translation (Dr. Sebastian Schuster)
Lecture
HS002
2
30.01.23
30.01.23
No
Machine Learning Intro (overview) (Prof. Bernt Schiele)
Lecture
HS002
1
28.11.22
28.11.22
No
Assignment 1: Python
Exercise Sheet
3
17.11.22
23.11.22
No
Assignment 2: Databases
Exercise Sheet
3
24.11.22
30.11.22
No
Assignment 4: Machine Learning
Exercise Sheet
3
08.12.22
14.12.22
No
Python 2 (Joris Nix)
Lecture
HS002
1
14.11.22
14.11.22
No
Office hour
Office Hour
E1.3 SR016
8
08.11.22
08.11.22
No
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