Courses

Further education:  general courses (U Heidelberg)

Lecture winter term 2015

  • Crash Course: "Inference and Learning in Discrete Graphical Models: Theory and Practice"
    The following topics will be covered
    • Discrete Graphical Models (Applications, Definitions, Software)
    • Exact inference on Discrete Graphical Models
    • Move Making Methods for Discrete Graphical Models
    • How to deal with Huge Models and Higher-order Potentials
    Thorsten Beier and Joerg Kappes, room G 2.09, Speyerer Strasse 6
    November 25, 13:00-16:00

Lecture summer term 2014

  • Compact Course "Covariance Models for Spatial and Space-Time Data"
    Tilmann Gneiting, KIT, Karlsruhe, room TBA
    May 26, 10:00-18:15
  • Compact Course "Solving large-scale second-order submodular MAP-inference problems with graphical models"
    Bogdan Savchynskyy, HCI, small seminar room
    Juli, 10, 09:30-11:00

Lecture winter term 2013/14

  • Compact Course "Pattern Recognition"
    F. Hamprecht, HCI, Speyerer Strasse 6 H2.22
    Oct 7-10, 09:30
  • Compact Course "Probabilistic Graphical Models"
    R. Dahlhaus, INF 294, R134
    7.1.2014-6.2.2014,  each Thueseday and Thursday 9-11 am
  • Compact Course "Discrete Optimization"
    G. Reinelt
    11.2. - 14.2.2014 
  • Compact Course "Graphical Models and Variational Inference"
    C. Schnoerr,  HCI, Speyerer Strasse 6 H2.22
    17.02-28.02.2014, 11-12:30, and 14:00-15:30 - all days except of Wednesday

Lecture winter term 2012/13

  • Mixed-integer and combinatorial optimization
    G. Reinelt, INF 350, U014 (Monday INF 368, R 432)
    11-15.02.2013,  09-12:00

Lecture summer term 2012

  • Convex Analysis and Probabilistic Models
    C. Schnoerr, INF 368 / IWR R 532
    Di 11:15-13:00, Fr 11:15-13:00 
  • Pattern Recognition
    F. Hamprecht, large seminar room of the HCI
    Monday, 14:00-18:00
  • 10.-13.04 Compact Course: Introduction to Image Processing on the GPU
    B. Goldlücke, G2.09 HCI
    9:30 - 18:00

Lecture winter term 2011/12

  • 4.-6.10. Compact Course: Convex Relaxation in Variational Image Analysis
    B. Goldlücke, G2.09 HCI
    09:00 - 17:00
  • Artificial Intelligence
    B. Ommer, G2.09 HCI
    Mi 11:00 - 13:00 and 14:00 - 16:00 

Lecture summer term 2011

  • Bayesian Statistics
    T. Thorarinsdottir; INF 294, HS-111
    Mon 11am-1pm, Thu 11am-1pm
  • Math. Methods of Image Processing
    C. Schnörr; INF 350 (OMZ) U013/014
    Tue 11am-1pm, Fri 11am-pm
  • Pattern Recognition
    F. Hamprecht, HCI, large seminar room
    Mon 2-6pm
  • 07.-11.02 2011 Compact Course: Probabilistic Graphical Models: Theory, Algorithms and Application,
    Prof. Eric P. Xing, Carnegie Mellon University
    HCI, large seminar Room
    Mon 3pm-5pm, Tue-Fri 10am-12am

Lecture winter term 2010/11

  • Statistics
    R. Dahlhaus; INF 294 / AM HS 134
    Tue 09:00-11:00, Thu 09:00-11:00
  • Statistical Prediction: Theory and Applications
    T. Thorarinsdottir; INF 294 / AM HS 134
    Thu 14:00-18:00 biweekly
  • Object Recognition & Image Understanding
    B. Ommer; INF 350 / OMZ U013 (Lecture, Exercises)
    Mo 14:00-16:00, Mi 11:00-13:00; Ex. Mi 14:00-16:00
  • Statistical Pattern Recognition
    C. Schnörr; INF 350 / OMZ U014 (Lecture), INF 368 / 248 (Exercises)
    Tue 14:00-16:00, Fri 11:00-13:00; Ex. Tue 11:00-13:00
  • 11.-15.10 2010 Compact Course: Optimization and Variational Inference with Graphical Models
    C. Schnörr; HCI, large seminar room
    Mo-Thu: 10:15-11:45, 13:15-14:45 (optional: 15:00 - ...)
    Fri, RTG students only: 10:15-11:45, wrap up
  • 04.-08.10.2010 Compact Course: Introduction to Graphical Models and Applied Bayesian Statistics
     A. Lenkoski; HCI, large seminar room
    Lecture: 10:00-11:00, 11:30-12:30
    Computer lab: 14:00-17:00

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