Teaching

• Information Meeting on Visual Computing
  Monday, April 9, 2018 at 2:15 pm in E2.4, Lecture Hall 4
  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.)
    
  • • Geometric Modeling (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by H.P. Seidel and R. Zayer
      Mon 14-16, Wed 12-14, Building E1.3, Lecture Hall 3
    • 
      
    • Physikalische Akustik 1 (3 CP)
      Classroom lectures (2h) given by M. Spies
      Thu 8.30-10, Building E3.1, Seminar room of the IZFP
    • 
      
  • Classes on Image Analysis:
    (You need at least 9 graded CP from this category.)
    
  • • Image Processing and Computer Vision (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by J. Weickert
      Tue 10-12, Fri 10-12, Building E1.3, Lecture Hall 1
      
    • 
      
    • Image Compression (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Peter
      Mon 12-14, Wed 10-12, Building E1.3, Lecture Hall 1
    • 
      
    • High Level Computer Vision (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by B. Schiele and M. Fritz
      Wed 14-16, Building E1.4, Seminar Room 0.24
    • 
      
  • Classes on Image Synthesis:
    (You need at least 9 graded CP from this category.)
    
  • • Realistic Image Synthesis (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Slusallek, K. Myszkowski, and G. Singh
      Mon 10-12, Thu 10-12, Building E1.3, Lecture Hall 1
    • 
      
  • Seminars:
    (You need at least 8 graded CP from this category.)
    
  • • Machine Learning for Image Analysis (8 CP)
      Seminar given by L. Bergerhoff and J. Weickert
      Wed 16-18, Building E1.7, Room 410
    • 
      
    • Rendering Techniques (8 CP)
      Seminar given by P. Slusallek, S. Lemme, and A. Pérard-Gayot
      Thu 14-16, Building E1.4, Room 0.21
    • 
      
    • 3D Shape Analysis (8 CP)
      Seminar given by F. Bernard and C. Theobalt
      Thu 14-16, Building E1.4, Rooms 0.19/0.21
    • 
      
  
  
• Classes in Image Related Areas in Computer Science and Other Disciplines:
  (From this category you need 9 graded CP.)
• • Artificial Intelligence (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by W. Wahlster and A. Torralba
    Tue 16-18, Thu 16-18, Building E2.2, Lecture Hall 0.01
  • 
    
  • Telecommunications II (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by T. Herfet
    Tue 12-14, Wed 8-10, Building C6.3, Seminar Room 9.05
  • 
    
  • Topics in Algorithmic Data Analysis (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by J. Vreeken
    Thu 14-16, Building E1.7, Room 0.01
  • 
    
  • Statistical Natural Language Processing (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by D. Klakow
    Fri 8.30-10, Building E1.3, Lecture Hall 1
  • 
    
  • Zerstörungsfreie Prüfverfahren I (4 CP)
    Classroom lectures (2h) given by C. Boller
    Thu 8.30-10, Building E2.5, Lecture Hall 3
  • 
    

  • 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:
    
  • • Numerical Algorithms for Visual Computing (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by M. Augustin
      Tue 8-10, Building E1.3, Lecture Hall 3
      Thu 12-14, Building E1.3, Lecture Hall 1
    • 
      
    • Continuous Optimization (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by P. Ochs
      Tue 14-16, Building E2.4, Lecture Hall 4
    • 
      
    • Analytical Methods for PDEs (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by Y. Kinderknecht
      Thu 8-10, Building E2.4, Lecture Hall 4
      Thu 14-16, Building E2.4, Seminar Room 6
    • 
      
    • Differential Geometrie II (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by M. Fuchs
      Wed 10-12, Building E2.4, Lecture Hall 4
    • 
      
    • Numerics II (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by S. Weisser
      Tue 8-10, Thu 14-16, Building E2.5, Lecture Hall 3
    • 
      
    • Stochastik I (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by C. Bender
      Mon 12-14, Wed 8-10, Building E2.4, Seminar Room 6
    • 
      
    • Mathematische Statistik (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by H. Zähle
      Tue 10-12, Thu 10-12, Building E2.4, Seminar Room 6
    • 
      
  • Classes in Computer Science:
    
  • • Optimization (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by A. Karrenbauer
      Tue 14-16, Thu 14-16, Building E1.3, Lecture Hall 1
    • 
      
    • Embedded Systems (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by B. Finkbeiner
      Tue 12-14, Thu 10-12, Building E1.3, Lecture Hall 3
    • 
      
    • Algorithms for Sequence Analysis (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by T. Marschall and M. Schulz
      Tue 14-16, Building E1.7, Room 001
    • 
      
    • Programmierung 2 (9 CP)
      (only if you do not hold a Bachelor's degree in computer science)
      Classroom lectures (4h) with tutorials (2h) given by S. Hack and J. Hoffmann
      Tue 14-16, Fri 8-10, Building E2.2, Lecture Hall 0.01
    • 
      
    • Systemarchitektur (9 CP)
      (only if you do not hold a Bachelor's degree in computer science)
      Classroom lectures (4h) with tutorials (2h) given by J. Reineke
      Mon 8-10, Wed 8-10, Building E2.2, Lecture Hall 0.01
    • 
      
    • Softwarepraktikum (9 CP)
      (only if you do not hold a Bachelor's degree in computer science)
      Classroom lectures (4h) with tutorials (2h)
    • 
      
  • Classes in Mechatronics:
    
  • • Digitale Signalverarbeitung / Digital Signal Processing (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by D. Klakow
      Mon 10-12, Building A5.1, Lecture Hall -1.03
    • 
      
  • Classes in Physics:
    
  • • Elementare Einführung in die Physik II (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by F. Müller
      Wed 10-12, Building C6.4, Lecture Hall 0.10
    • 
      
    • Physik für Ingenieure II (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by R. Birringer
      Mon 12-14, 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 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.