Teaching

• Information Meeting on Visual Computing
  Monday, October 19, 2015 at 2:15 pm in E2.4, Room 115.
  All Visual Computing students and other interested people are welcome.
  

The number of required credit points (CP) at the beginning of each category refers to the entire study period of four semesters.

• Classes from the Core Areas of Visual Computing:
  (From this category you need 53 CP with at least 35 graded CP.)
  
• • Classes on Image Acquisition and Geometric Foundations:
    (You need at least 4 CP from this category.)
    
  • • Bildgebende Verfahren - Ultraschall (4 CP)
      Classroom lectures (2h) given by M. Fournelle
      Mon 18-20, Building A5.1, Room 1.22
    • 
      
  • Classes on Image Analysis:
    (You need at least 9 graded CP from this category.)
    
  • • Differential Equations in Image Processing and Computer Vision (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by J. Weickert
      Wed 10-12, Fri 12-14, Building E1.3, Lecture Hall 3
    • 
      
    • Image Compression (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by P. Peter and J. Weickert
      Thu 12-14, Building E1.3, Lecture Hall 1
    • 
      
    • Advanced Image Analysis (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by D. Hafner and J. Weickert
      Mon 14-16, Building E1.3, Lecture Hall 1
    • 
      
    • Probabilistic Graphical Models and their Applications (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by B. Schiele
      Thu 10-12, Building E1.4, Seminar Room 0.24
    • 
      
    • Speech Technology - Pattern and Speech Recognition (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by D. Klakow
      Tue 14-16, Building C7.3, Seminar Room 1.12
    • 
      
  • Classes on Image Synthesis:
    (You need at least 9 graded CP from this category.)
    
  • • Computer Graphics (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Slusallek
      Tue 08-10, Thu 16-18, Building E1.3, Lecture Hall 1
    • 
      
    • Perception in Computer Graphics (3 CP)
      Classroom lectures (2h) given by K. Myszkowski and P. Didyk
      Mon 10-12, Building E1.4, Seminar Room 019
    • 
      
  • Seminars:
    (You need at least 8 graded CP from this category.)
    
  • • Optimal Transport in Image Processing (8 CP)
      Seminar given by M. Schmidt and J. Weickert
      Mon 16-18, Building E1.7, Room 410
    • 
      
    • Character Animation (8 CP)
      Seminar given by A. Heloir
    • 
      
    • Interactive Digital Fabrication (8 CP)
      Seminar given by J. Steimle, D. Gröger, and M. Weigel
      Wed 14-15, Building E1.7, Room 008
    • 
      
  
  
• Classes in Image Related Areas in Computer Science and Other Disciplines:
  (From this category you need 9 graded CP.)
• • Machine Learning (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by M. Hein
    Wed 14-16, Fr 10-12, Building E1.3, Lecture Hall 1
  • 
    
  • Telecommunications I (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by T. Herfet
    Tue 12-14, Wed 8-10, Building E1.3, Lecture Hall 1
  • 
    
  • Future Media Internet (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by T. Herfet
    Tue 14-16, Wed 12-14, Building C6.3, Room 9.05
  • 
    
  • Automatic Planning (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by J. Hoffmann
    Mon 10-12, Tue 10-12, Building E1.3, Lecture Hall 3
  • 
    
  • Information Retrieval and Data Mining (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by G. Weikum
    Tue 14-16, Thu 14-16, Building E1.4, Room 0.24
  • 
    

  • Consider also specialised classes in computational linguistics.

  
  
• Supplementary Classes (to Fill Your Personal Gaps of Knowledge):
  (From this category you need 18 CP with at least 9 graded CP.)
  Depending on your background, not all selections may be allowed. Please make sure that the lectures you attend do extend your knowledge, and do not hesitate to consult us in case of doubts.
• • Classes in Mathematics:
    
  • • Convex Analysis and Optimisation (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by P. Ochs
      Thu 10-12, Building E1.3, Lecture Hall 3
    • 
      
    • PDE and Boundary-Value Problems (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by D. Apushkinskaya
      Mon 10-12, Fri 08-10, Building E1.3, Lecture Hall 1
    • 
      
    • Compressed Sensing in der Bildrekonstruktion (5 CP)
      Classroom lectures (2h) with tutorials (2h) given by B. Hahn
      Fri 10-12, Place: TBA
    • 
      
    • Theorie und Numerik von gewöhnlichen Differentialgleichungen (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by T. Schuster
      Tue 08-10, Thu 14-16, Building E2.5, Lecture Hall 1
    • 
      
    • Modellieren mit partiellen Differentialgleichungen (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by S. Rjasanow
      Tue 14-16, Thu 10-12, Building E2.5, Lecture Hall 2
    • 
      
    • Halbgruppen und Pseudodifferentialoperatoren für Evolutionsgleichungen und Markovsche Prozesse (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by Y. Kinderknecht
      Wed 10-12, Building A5.1, Lecture Hall 1 (1.03)
    • 
      
    • Stochastik II (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by H. Zähle
      Wed 14-16, Thu 10-12, Building E2.4, Seminar Room 10
    • 
      
  • Classes in Computer Science:
    
  • • Algorithms and Data Structures (9 CP)
      Block lecture course given by M. Hoefer and R. Seidel
      Lectures: 29.02. - 01.04.2016
      First lecture: 29.02.2016
    • 
      
    • Multicore System Architecture (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by W. Paul
      Tue 14-16, Fri 10-12, Building E1.3, Lecture Hall 3
    • 
      
    • Software Engineering (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by A. Zeller
      Tue 10-12, Thu 08-10, Building E2.2, Lecture Hall 1
    • 
      
    • Grundzüge von Algorithmen und Datenstrukturen (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by M. Bläser
      (not for students with a B.Sc. in Computer Science)
      Thu 12-14, Building E2.2, Lecture Hall 1
    • 
      
    • Programmierung 1 (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by B. Finkbeiner
      (not for students with a B.Sc. in Computer Science)
      Tue 14-16, Thu 10-12, Building E2.2, Lecture Hall 1
    • 
      
  • Classes in Mechatronics:
    
  • • Grundlagen der Signalverarbeitung (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by D. Klakow
      Mon 10-13, Building A5.1, Lecture Hall 1 (-1.03)
    • 
      
  • Classes in Physics:
    
  • • Elementare Einführung in die Physik I (4 CP)
      Classroom lectures (2h) with tutorials (2h) given by K. Jacobs
      Wed 10-12, Building C6.4, Lecture Hall (0.10)
    • 
      
  
  
• Additional Classes:
  (From this category you need 10 CP. Work as a tutor is accepted for at most 4 CP, and language classes for at most 6 CP.)
  

• • Work as a tutor (4 CP)
    

  • German as a Foreign Language for CS Students (6 CP)
    Lectures (4h) offered by the Max Planck Institute for Computer Science.

  • English as a Foreign Language for CS Students (6 CP)
    Lectures (4h) offered by the Max Planck Institute for Computer Science.

  • The International Office of Saarland University offers a number of foreign and German language courses.

  • Classes on other foreign languages are offered by the Language Center.

  • Any of the classes of the first three categories.

  • Classes in humanities (cognitive science, etc.) after approval in advance.

  A detailed description of the contents of these classes can be found in our Handbook of Module Descriptions.

  The campus map may help you to localise the individual buildings.

  If you spot some errors or have proposals for adding additional classes to this list, please contact Joachim Weickert.