Teaching

• Information Meeting on Visual Computing
  Monday, April 8, 2018 at 2:15 pm in E 2.4, Room 115 (Seminar Room 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.)
    
  • • Physikalische Akustik I (3 CP)
      Classroom lectures (2h) with tutorials (2h) given by M. Spies
      Thu 8:30-10, Building E 3.1, Seminar Room
    • 
      
  • 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 E 1.3, Lecture Hall 1
    • 
      
    • Image Compression (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Peter
      Mon 12-14, Fri 14-16, Building E 1.3, Lecture Hall 1
    • 
      
    • High-Level Computer Vision (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by B. Schiele and M. Fritz
      Wed 10-12, Building E 1.4, Room 024
    • 
      
  • 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
      Tue 8-10, Fri 12-14, Building E 1.3, Lecture Hall 1
    • 
      
    • Computation and Fabrication (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by V. Babaei and H.-P. Seidel
      Wed 14-16, Building E 1.7, Room 0.08
    • 
      
  • Seminars:
    (You need at least 8 graded CP from this category.)
    
  • • Inverse Problems in Image Processing (8 CP)
      Seminar (2h) given by L. Bergerhoff and J. Weickert
      Thu 16-18, Building E 1.7, Room 4.10
    • 
      
    • Real-Time Rendering (8 CP)
      Seminar (2h) given by S. Lemme, A. Pérard-Gayot, R. Membarth and P. Slusallek
      Starts on: 9 April Tue 16-18, Building E 1.1, Room E 09
    • 
      
    • Computer Vision and Machine Learning for Computer Graphics (8 CP)
      Seminar (2h) given by C. Theobalt, M. Elgharib and V. Golyanik
      Thu 14-16, Building E 1.4, Room 021
    • 
      
    • Motion Synthesis for Virutal Characters (8 CP)
      Seminar (2h) given by K. Fischer
      Wed 16-18, Building D 3.2, Room "Turing 1" (NB R +2.30)
    • 
      
  
  
• 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 J. Köhler and Á. Torralba
    Mon 14-16, Building E 2.5, Lecture Hall 1
    Tue 16-18, Building E 2.2, Lecture Hall 1
  • 
    
  • Audio/Visual Communication and Networks (Telecommunications II) (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by T. Herfet
    Tue 12-14, Wed 8-10, Building C 6.3, Room 9.05
  • 
    
  • Topics in Algorithmic Data Analysis (6 CP)
    Classroom lectures (2h) with assignments given by J. Vreeken
    Thu 10-12, (Tue 10-12), Building E 1.7, Room 0.01
  • 
    
  • Topics in Neural Information Retrieval (6 CP)
    Classroom lectures (2h) with assignments given by A. Yates
    Tue 14-16, Building E 1.5, Room 029
  • 
    
  • Statistical Natural Language Processing (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by D. Klakow
    Fri 8:30-10, Building E 1.3, Lecture Hall 3
  • 
    
  • Zerstörungsfreie Prüfverfahren I (4 CP)
    Classroom lectures (2h) with tutorials (2h) given by C. Boller
    Thu 8:30-10, Building E 2.5, 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
      Mon 14-18, Thu 12-14, Building E 1.3, Lecture Hall 1
    • 
      
    • Numerical Methods for ODEs (6/9 CP)
      Classroom lectures (3h) with tutorials (1h) given by P. Ochs
      Tue 16-18, Thu 8-10, Building E 1.3, Lecture Hall 1
    • 
      
    • Numerical Internship in Computerized Tomography (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by A. Wald
      Mon 10-12, Wed 12-14, Building E 2.4, Seminar Room 6
    • 
      
    • Computer Algebra (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by F.-O. Schreyer
      Tue 12-14, Thu 10-12, Building E 1.3, Lecture Hall 1
    • 
      
    • Partial Differential Equations II (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by M. Fuchs
      Mon 10-12, Wed 10-12, Building E 2.4, Lecture Hall 4
    • 
      
    • Stochastics I (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by C. Bender
      Mon 12-14, Wed 8:30-10, Building E 2.4, Seminar Room 6 (2.17)
    • 
      
  • Classes in Computer Science:
    
  • • Optimization (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by A. Karrenbauer
      Tue 14-16, Thu 14-16, Building E 1.4, Room 024
    • 
      
    • Distributed and Sequential Graph Algorithms (5 CP)
      Classroom lectures (2h) with tutorials (2h) given by S. Amiri and P. Misra
      Tue 10-12, Building E 1.4, Room 024
    • 
      
    • Information Theory (3 CP)
      Block course given by V. Damberg, M. Crocker and A. Mogadala
    • 
      
    • 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 J. Hoffmann
      Tue 14-16, Fri 8-10, Building E 2.2, Lecture Hall 1
    • 
      
    • 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
      Wed 9-10, Fri 12-14, Building E 2.2, Lecture Hall 1
    • 
      
    • Softwarepraktikum (9 CP)
      (only if you do not hold a Bachelor's degree in computer science)
      Classroom lectures (4h) given by A. Zeller
      
    • 
      
  • Classes in Mechatronics:
    
  • • Digital Signal Processing (6 CP)
      Classroom lectures (2h) with tutorials (1h) given by D. Klakow
      Mon 10-12, Building A 5.1, Lecture Hall 1 (-1.03)
    • 
      
    • Multisensorsignalverarbeitung (4 CP)
      Classroom lectures (2h) with tutorials (2h) given by A. Schütze
      Mon 10-12, Building A 5.1, Lecture Hall 1 (-1.22)
    • 
      
  • Classes in Physics:
    
  • • Elementare Einführung in die Physik I (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by F. Müller
      Wed 10-12, Building C 6.4, Lecture Hall 0.10
    • 
      
    • Physik für Ingenieure II (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by R. Birringer
      Mon 12-14, Building C 6.4, 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.