Teaching

• Information Meeting on Visual Computing
  Monday, October 24, 2016 at 2:15 pm in E2.4, Lecture Hall IV.
  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 (Ultrasound Imaging) (4 CP)
      Classroom lectures (2h) given by M. Fournelle
      Mon 16-18, Building E2.6, Seminar Room 11
    • 
      
  • 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 P. Peter
      Mon 14-16, Building E1.3, Lecture Hall 3
      Fri 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, and B. Andres
      Wed 14-16, 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 12-14, Building E1.3, Lecture Hall 1
    • 
      
    • Perception in Computer Graphics (3 CP)
      Classroom lectures (2h) given by K. Myszkowski, and P. Didyk
      Wed 10-12, Building E1.4, Room 19
    • 
      
  • Seminars:
    (You need at least 8 graded CP from this category.)
    
  • • MIT's Golden Age of Vision (8 CP)
      Seminar given by S. Andris, and J. Weickert
      Wed 16-18, Building E1.7, Room 410
    • 
      
    • Virtual Reality: Theory and Practice (8 CP)
      Seminar given by M. Speicher, and A. Zenner
    • 
      
    • Attentive User Interfaces (8 CP)
      Seminar given by A. Bulling, and J. Steil
      Tue 10-12, Building E1.4, Room 021
    • 
      
    • Software design and architectures for interactive avatars: a hands-on approach (8 CP)
      Seminar given by F. Nunnari, and A. Heloir
      Fri, a slot between 10:00 and 16:00
    • 
      
  
  
• 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
    Tue 16-18, Fr 10-12, Building E1.3, Lecture Hall 2
  • 
    
  • 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, and A. Torralba
    Mon 10-12, Tue 10-12, Building E1.3, Lecture Hall 3
  • 
    
  • Physical Computing (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by J. Steimle
    Wed 10-12, Building E1.7, Room 001
  • 
    
  • Elements of Statistical Learning (5 CP)
    Classroom lectures (2h) with tutorials (1h) given by T. Lengauer
    Tue 10-12, Building E1.4, Seminar Room 0.24
    Wed 10-12, Building E2.1, Seminar Room 0.01
  • 
    

  • 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 in Image Processing (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by M. Augustin
      Mon 12-14, Building E1.3, Lecture Hall 3
      Thu 16-18, Building E1.3, Lecture Hall 1
    • 
      
    • PDE and Boundary-Value Problems (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by D. Apushkinskaya
      Wed 10-12, Building E1.3, Lecture Hall 3
      Fri 08-10, Building E1.3, Lecture Hall 1
    • 
      
    • 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
    • 
      
    • Numerik partieller Differentialgleichungen (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by S. Rjasanow
      Mon 14-16, Thu 8-10, Building E2.5, Lecture Hall 3
    • 
      
    • Stochastik II (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by H. Zähle
      Tue 10-12, Wed 14-16, Building E2.4, Seminar Room 6
    • 
      
    • Inverse Probleme (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by T. Schuster
      Tue 12-14, Fri 10-12, Building E2.4, Lecture Hall 4
    • 
      
    • Funktionalanalysis 1 (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by J. Eschmeier
      Tue 8-10, Thu 8-10, Building E2.4, Lecture Hall 4
    • 
      
    • Mathematische Statistik (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by P. Kern, and H. Zähle
      Thu 10-12, Building E2.4, Seminar Room 6
    • 
      
  • Classes in Computer Science:
    
  • • Algorithms and Data Structures (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by K. Bringmann, and E. van Leeuwen
      Mon 16-18, Wed 16-18, Building E1.3, Lecture Hall 2
    • 
      
    • Modelling and Simulation (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by V. Wolf
      Wed 10-12, Fri 10-12, Building E1.3, Lecture Hall 1
    • 
      
    • Grundzüge von Algorithmen und Datenstrukturen (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by A. Karrenbauer
      (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 H. Hermanns
      (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 F. Müller
      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.