Teaching

• Information Meeting on Visual Computing
  Mo, October 22, 14:15, Building E1.1, Room 306
  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.)
    
    • Introduction to Image Acquisition Methods (4 CP)
      Classroom lectures (2h) given by J. Weickert
      We 14-16, Building E1.3, Lecture Hall 001

    • Ultraschall-Messtechnik (4 CP)
      Classroom lectures (2h) given by R. Lemor
      Mo 16:30-18, Building A5.1, Room -1.22

  • 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
      Tu, Th 10-12, Building E1.3, Lecture Hall 002

    • Dynamical Systems and Image Processing (4 CP)
      Classroom lectures (2h) given by M. Welk
      Fr 10-12, Building E1.3, Lecture Hall 003

    • Pattern and Speech Recognition (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by D. Klakow
      Mo 11-12:30, Building A5.1, Lecture Hall -1.03

  • 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 H.P.A. Lensch
      Mo, Th 8-10, Building E1.3, Lecture Hall 002

  • Seminars:
    (You need at least 8 graded CP from this category.)
    
    • Problems in Image Analysis (8 CP)
      Seminar given by A. Bruhn
      We 16-18, Building E1.1, Room 306

  
  
• 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
    Tu, We 8-10, Building E1.3, Lecture Hall 001

  • Kernel Methods in Machine Learning (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by M. Hein
    We 10-12, Building E1.3, Lecture Hall 003

  • Information Retrieval and Data Mining (9CP)
    Classroom lectures (4h) with tutorials (2h) given by G. Weikum
    Tu, Th 14-16, Building E1.3, Lecture Hall 001

  • Advanced Cryptography (6 CP)
    Block course in the lecture-free period given by M. Backes
    by appointment

  • Zerstörungsfreie Prüfverfahren Teil II
    Classroom lectures (2h) given by U. Rabe
    Th 9-11, Building E3.1, Seminar Room

  
  
• 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 for Visual Computing (6 CP)
      Classroom lectures (2h) with tutorials (2h) given by S. Didas
      Mo 10-12, Building E1.3, Lecture Hall 003

    • Gamma Convergence (6 CP)
      Seminar given by B. Burgeth
      to be announced, Building E1.1, Room 306

    • Theorie und Numerik Gewöhnlicher Differentialgleichungen (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by A. Louis
      Tu 8-10, Th 14-16, Building E2.5, Lecture Hall 1

    • Theorie und Numerik Partieller Differentialgleichungen (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by S. Rjasanow
      Tu, Th 14-16, Building E2.5, Lecture Hall 3

    • Partielle Differentialgleichungen I(9 CP)
      Classroom lectures (4h) with tutorials (2h) given by M. Fuchs
      Mo 8-10, Building E2.4, Lecture Hall IV
      We 8-10, Building E2.5, Lecture Hall III

    • Grundlagen der Variationsrechnung (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by M. Fuchs
      Th 8-10, Building E2.4, Seminar Room 3

    • Inverse Probleme: Theorie, Numerik und Anwendung in der Bildrekonstruktion (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by A. Louis
      Tu 14-16, Th 10-12, Building E2.4, Seminar Room 5

  • Classes in Computer Science:
    
    • Algorithms and Data Structures (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by B. Doerr and E. Althaus
      Mo 14-16, Lecture Hall 001, We 14-16, Lecture Hall 002, both in Building E1.3

    • Software Engineering
      Classroom lectures (4h) with tutorials (2h) given by A. Zeller and R. Premraj
      Mo, We 10-12, Building E1.3, Lecture Hall 002

    • Computer Architecture (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by W. Paul
      Mo, We 14-16, Building E1.3, Lecture Hall 003

    • Grundlagen von Algorithmen und Datenstrukturen (6 CP)
      Classroom lectures (2h) with tutorials (1h) given by R. Seidel
      Mo 8-10, Building E2.5, Lecture Hall 001

    • Programmierung I (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by H. Hermanns
      Tu 14-16, Th 10-12, Building E2.5, Lecture Hall I

  • Classes in Mechatronics:
    
    • Grundlagen der Signalverarbeitung (5 CP)
      Classroom lectures (2h) with tutorials (1h) given by D. Klakow
      Mo 11-13, Building A5.1, Lecture Hall -1.03

  • Classes in Physics:
    
    • Elementare Einführung in die Physik I (4 CP)
      Classroom lectures (2h) given by K. Knorr
      We 10-12, Building C6.4, Großer Hörsaal

    • Physik für Ingenieure I (5 CP)
      Classroom lectures (2h) with tutorials (1h)
      We 14-17, Building C6.4, Großer Hörsaal

  
  
• 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.
  
  
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