Timetable

Title Type Location Serial Start End All Day
Alpha Go (deep Q-learning, game search) (Thorsten Klößner) Lecture HS002 2 09.01.23 09.01.23 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 0: Vagrant Exercise Sheet 3 03.11.22 09.11.22 No 
Assignment 10: Self-Driving Cars Exercise Sheet 3 06.02.23 12.02.23 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 3: Machine Learning Exercise Sheet 3 01.12.22 07.12.22 No 
Assignment 4: Machine Learning Exercise Sheet 3 08.12.22 14.12.22 No 
Assignment 5: Machine Learning + Alpha Go Exercise Sheet 3 15.12.22 21.12.22 No 
Assignment 6: Alpha Go Exercise Sheet 3 09.01.23 15.01.23 No 
Assignment 7: Alpha Go + NLP Exercise Sheet 3 16.01.23 22.01.23 No 
Assignment 8: NLP Exercise Sheet 3 23.01.23 29.01.23 No 
Assignment 9: NLP Exercise Sheet 3 30.01.23 05.02.23 No 
Big Data & Databases 1 (Prof. Jens Dittrich) Lecture HS002 1 21.11.22 21.11.22 No 
Big Data & Databases 2 (Prof. Jens Dittrich) Lecture HS002 2 24.11.22 24.11.22 No 
CMS registration deadline Deadline 03.11.22 03.11.22 No 
Data Handling and Cleaning in Python (Prof. Jens Dittrich) Lecture HS002 2 17.11.22 17.11.22 No 
Exam Exam Günter-Hotz-Hörsaal 23.02.23 23.02.23 No 
Exam inspection Office Hour E1.1 SR3.06 03.03.23 03.03.23 No 
General Introduction (Prof. Jens Dittrich) Lecture HS002 2 27.10.22 27.10.22 No 
Guest lecture: Using Data Science to Study Society (Prof. Ingmar Weber) Lecture HS002 1 07.11.22 07.11.22 No 
Introduction to Artificial Intelligence (Prof. Jörg Hoffmann) Lecture HS002 2 03.11.22 03.11.22 No 
Introduction to Data Science (Prof. Jens Dittrich) Lecture HS002 1 31.10.22 31.10.22 No 
Machine Learning ANNs (Prof. Bernt Schiele) Lecture HS002 1 05.12.22 05.12.22 No 
Machine Learning Backpropagation (Prof. Bernt Schiele) Lecture HS002 1 12.12.22 12.12.22 No 
Machine Learning Basics in Python (Joris Nix) Lecture HS002 2 08.12.22 08.12.22 No 
Machine Learning Basics (non-ANN) (Prof. Bernt Schiele) Lecture HS002 2 01.12.22 01.12.22 No 
Machine Learning Intro (overview) (Prof. Bernt Schiele) Lecture HS002 1 28.11.22 28.11.22 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 
NLP 4: Semantics (Dr. Sebastian Schuster) Lecture HS002 1 26.01.23 26.01.23 No 
NLP 5: Machine Translation (Dr. Sebastian Schuster) Lecture HS002 2 30.01.23 30.01.23 No 
Office hour Office Hour E1.3 SR016 8 22.11.22 22.11.22 No 
Office hour Office Hour E1.3 SR016 8 08.11.22 08.11.22 No 
Office hour Office Hour E1.3 SR016 8 29.11.22 29.11.22 No 
Office hour Office Hour E1.3 SR016 8 13.12.22 13.12.22 No 
Office hour Office Hour E1.3 SR016 8 10.01.23 10.01.23 No 
Office hour Office Hour E1.3 SR015 9 10.11.22 10.11.22 No 
Office hour Office Hour E1.3 SR016 8 06.12.22 06.12.22 No 
Office hour Office Hour E1.3 SR016 8 17.01.23 17.01.23 No 
Office hour Office Hour E1.3 SR016 8 15.11.22 15.11.22 No 
Office hour Office Hour E1.3 SR015 9 24.11.22 24.11.22 No 
Office hour Office Hour E1.3 SR015 9 17.11.22 17.11.22 No 
Office hour Office Hour E1.3 SR015 9 01.12.22 01.12.22 No 
Office hour Office Hour E1.3 SR015 9 08.12.22 08.12.22 No 
Office hour Office Hour E1.3 SR015 9 15.12.22 15.12.22 No 
Office hour Office Hour E1.3 SR015 9 12.01.23 12.01.23 No 
Office hour Office Hour E1.3 SR015 9 19.01.23 19.01.23 No 
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