Teaching

• Information Meeting on Visual Computing
  Monday, October 14, 2019 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
      Fri 12-14, Building E 1.3, Lecture Hall 1
    • 
      
    • Geometric Modeling (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by R. Zayer
      Mon 14-16, Thu 16-18, Building E 1.3, Lecture Hall 3
    • 
      
    • 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 J. Weickert
      Wed 10-12, Fri 10-12, Building E 1.3, Lecture Hall 1
    • 
      
    • Differential Geometric Aspects of Image Processing (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by M. Cardenas
      Tue 16-18, Thu 14-16, Building E 1.3, Lecture Hall 3
    • 
      
  • 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
    • 
      
  • Seminars:
    (You need at least 8 graded CP from this category.)
    
  • • Deep Learning: From Mathematical Foundations to Image Compression (8 CP)
      Seminar (2h) given by P. Peter and J. Weickert
      Wed 16-18, Building E 1.7, Room 4.10
    • 
      
    • Computational Design and Manufacturing (8 CP)
      Seminar (2h) given by H.-P. Seidel and V. Babaei
      Fri 10-12, Building E 1.7, Room 0.08
    • 
      
  
  
• Classes in Image Related Areas in Computer Science and Other Disciplines:
  (From this category you need 9 graded CP.)
• • Digital Transmission & Signal Processing (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
  • 
    
  • Multimedia Transport (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
  • 
    
  • Elements of Data Science and Artificial Intelligence (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by V. Demberg, J. Dittrich, J. Hoffmann, B. Schiele
    Mon 10-12, Thu 12-14, Building E 1.3, Lecture Hall 2
  • 
    
  • Information Retrieval and Data Mining (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by A. Yates and R.S. Roy
    Wed 16-18, Fri 14-16, 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
  • 
    
  • Neural Networks: Theory and Implementation (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by D. Klakow
    Tue 14-16, Building E 1.3, Lecture Hall 2
  • 
    
  • Information Extraction (6 CP)
    Classroom lectures (2h) with tutorials (2h) given by S. Razniewski
    Tue 10-12, Building E 1.4, Room 024
  • 
    
  • 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 0.01
  • 
    
  • Machine Learning (9 CP)
    Classroom lectures (4h) with tutorials (2h) given by P. Ochs
    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 J. Hoffmann
    Tue 12-14, Wed 10-12, Building E 1.3, 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:
    
  • • Interpolation and Approximation for Visual Computing (6 CP)
      Classroom lectures (3h) with tutorials (1h) given by M. Augustin
      Mon 12-14, Thu 12-14, Building E 1.3, Lecture Hall 1
    • 
      
    • Convex Analysis and Optimization (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by P. Ochs
      Tue 14-16, Wed 16-18, Building E 1.3, Lecture Hall 3
    • 
      
    • Functional Analysis I (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by M. Groves
      Tue 12-14, Building E 2.4, Lecture Hall 4 (1.15)
      Thu 12-14, Building E 2.4, Seminar Room 10
    • 
      
    • Stochastics II (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by C. Bender
      Tue 8-10, Thu 8-10, Building E 2.4, Seminar Room 10
    • 
      
    • Brownian Motion and its Applications to PDEs (5 CP)
      Classroom lectures (2h) given by Y. Kinderknecht
      Thu 12-14, Building E 2.4, Seminar Room 9
    • 
      
    • Time Series Analysis (5 CP)
      Classroom lectures (2h) given by H. Zaehle
      Thu 10-12, Building E 2.4, Seminar Room 10
    • 
      
  • Classes in Computer Science:
    
  • • Algorithms and Data Structures (9 CP)
      Block lecture given by R. Seidel
      
    • 
      
    • Software Engineering (9 CP)
      Classroom lectures (4h) with tutorials (2h) given by S. Apel
      Mon 8-10, Tue 12-14, Building E 2.2, 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 H. Hermanns
      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 R. Seidel
      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 10-12, Mon 13-14, 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.