Teaching

• Information Meeting on Visual Computing
  Monday, October 15, 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.)
    
  • • Image Acquisition Methods (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by P. Peter
      Thu 14-16, Building E 1.3, Lecture Hall 1
    • 
      
    • Ultraschall (Ultrasound Imaging) (4 CP)
      Classroom lectures (2h) given by M. Fournelle
      Mon 16-18, Building E 2.6, Room E 11
    • 
      
    • Physikalische Akustik 2 (4 CP)
      Classroom lectures (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.)
    
  • • Differential Equations in Image Processing and Computer Vision (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Peter
      Tue 10-12, Fri 14-16, Building E 1.3, Lecture Hall 1
    • 
      
    • Probabilistic Graphical Models and their Applications (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by G. Pons-Moll and P. Swoboda
      Wed 14-16, Fri 10-12, Building E 1.4, Room 024
    • 
      
  • 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
      Mon 10-12, Thu 08-10, Building E 1.3, Lecture Hall 1
    • 
      
    • Perception for Computer Graphics (3 CP)
      Classroom lectures (2h) given by K. Myszkowski and O. T. Tursun
      Wed 12-14, Building E 1.4, Room 019
    • 
      
  • Seminars:
    (You need at least 8 graded CP from this category.)
    
  • • Advances in Image Processing and Computer Vision (8 CP)
      Seminar (2h) given by L. Bergerhoff and J. Weickert
      Wed 16-18, Building E 1.7, Room 4.10
    • 
      
    • Computational Fabrication (8 CP)
      Seminar (2h) given by H.-P. Seidel and V. Babaei
      Fri 16-18, Building E 1.7, Room 323
    • 
      
  
  
• Classes in Image Related Areas in Computer Science and Other Disciplines:
  (From this category you need 9 graded CP.)
• • Telecommunications I (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by T. Herfet
    Tue 12-14, Wed 08-10, Building E 1.3, 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 C 6.3, Room 9.05
  • 
    
  • Neural Networks: Implementation and Application (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by D. Klakow
    Tue 14-16, Building E 1.3, Lecture Hall 2
  • 
    
  • The Elements of Statistical Learning (5 CP)
    Classroom lectures (2h) with tutorials (1h) given by T. Marschall and J. Vreeken
    Thu 10-12, Building E 2.1, Room 1
  • 
    
  • Machine Learning (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by B. Schiele
    Mon 14-16, Wed 10-12, Building E 1.3, Lecture Hall 2
  • 
    
  • AI Planning (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by Á. Torralba and C. Croitoru
    Tue 12-14, Wed 16-18, Building E 1.3, Lecture Hall 2
  • 
    
  • Human Computer Interaction (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by J. Steimle
    Tue 10-12, Wed 14-16, Building E 1.3, Lecture Hall 2
  • 
    
  • Kinematik, Dynamik und Anwendung in der Robotik (4 CP)
    Classroom lectures (3h) given by R. Müller
    Thu 14:15-17:30, ZeMA, Eschberger Weg 46
  • 
    
  • Mensch-Roboter-Kooperation in der industriellen Produktion (4 CP)
    Block course given by R. Müller
    ZeMA, Eschberger Weg 46
  • 
    

  • 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:
    
  • • Interpolation and Approximation for Visual Computing (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by M. Augustin
      Mon 12-14, Building E 1.3, Lecture Hall 1
      Wed 16-18, Building E 1.3, Lecture Hall 3
    • 
      
    • Convex Analysis and Optimization (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Ochs
      Tue 14-16, Thu 10-12, Building E 1.3, Lecture Hall 3
    • 
      
    • Functional Analysis I (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by D. Schillo
      Tue 14-16, Thu 14-16, Building E 2.4, Lecture Hall 4 (1.15)
    • 
      
    • Partial Differential Equations I (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by M. Fuchs
      Mon 12-14, Wed 10-12, Building E 2.4, Lecture Hall 4 (1.15)
    • 
      
    • Modeling with Partial Differential Equations (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by S. Rjasanow
      Tue 10-12, Building E 2.4, Seminar Room 6
      Thu 08-10, Building E 2.5, Lecture Hall 3
    • 
      
    • Tensor Product Approximations and Inverse Problems (3 CP)
      Classroom lectures (2h) given by A. Wald
      Wed 12-14, Building E 2.4, Seminar Room 6
    • 
      
    • Minimal Surfaces (5 CP)
      Classroom lectures (2h) with tutorials (2h) given by M. Fuchs
      Fri 12-14, Building E 2.4, Seminar Room 10
    • 
      
    • Operator Semigroups, Markov Processes and Evolution Equations (5 CP)
      Classroom lectures (2h) with tutorials (2h) given by Y. Kinderknecht
      Thu 10-12, Building E 2.4, Seminar Room 9
    • 
      
    • Non-Parametric Regression (5 CP)
      Classroom lectures (2h) with tutorials (2h) given by C. Bender
      Thu 12-14, Building E 2.4, Seminar Room 10
    • 
      
    • Stochastics II (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by C. Bender
      Mon 12-14, Thu 10-12, Building E 2.4, Seminar Room 10
    • 
      
  • Classes in Computer Science:
    
  • • Algorithms and Data Structures (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by R. Seidel
      Wed 08-10, Thu 12-14, Building E 1.3, Lecture Hall 2
    • 
      
    • Multivariate Algorithmics (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by K. Bringmann and H. Dell
      Tue 16-18, Thu 16-18, Building E 1.4, Room 024
    • 
      
    • Randomized and Approximation Algorithms (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by A. Antoniadis and M. Künnemann
      Tue 14-16, Thu 14-16, Building E 1.4, Room 024
    • 
      
    • Algorithms on Directed Graphs (5 CP)
      Classroom lectures (4h) given by S. Amiri, W. Rosenbaum and E. Oh
      Mon 10-12, Wed 16-18, Building E 1.4, Room 024
    • 
      
    • Space Informatics (5 CP)
      Block course given by J. Fraire and H. Hermanns
      Building E 1.3, Lecture Hall 1
    • 
      
    • Programmierung 1 (9 CP)
      (only if you do not hold a Bachelor's degree in computer science)
      Classroom lectures (4h) with tutorials (2h) given by G. Smolka
      Tue 14-16, Thu 10-12, Building E 2.2, Lecture Hall 1
    • 
      
    • Grundzüge von Algorithmen und Datenstrukturen (6 CP)
      (only if you do not hold a Bachelor's degree in computer science)
      Classroom lectures (2h) with tutorials (2h) given by W. J. Paul
      Thu 12-14, Building E 2.2, 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 A 5.1, Lecture Hall 1.03
    • 
      
  • Classes in Physics:
    
  • • Elementare Einführung in die Physik I (5 CP)
      Classroom lectures (2h) with tutorials (2h) given by F. Müller
      Wed 10-12, 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.