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Teaching

Summer Semester 2015

  • Lecture Statistical methods in quality management (C. Weihs)
  • Lecture Knowledge discovery in data bases (C. Weihs, K. Morik)
  • Lecture R-programming II (U. Ligges)
  • Seminar Case studies II (U. Ligges)

Winter Semester 2014/15

  • Lecture R-programming I (U. Ligges)
  • Lecture Computational statistics (U. Ligges)
  • Seminar Case studies II (C. Weihs, K. Ickstadt)
  • Lecture Classification methods (C. Weihs)
  • Seminar Data-driven journalism (C. Weihs, H. Wormer)

Summer Semester 2014

  • Lecture Statistical methods in quality management (C. Weihs)
  • Lecture Knowledge discovery in data bases (C. Weihs, K. Kersting)

Winter Semester 2013/14

  • Lecture Computational statistics (C. Weihs)
  • Lecture Introduction to six sigma (C. Weihs)

Summer Semester 2013

  • Data Mining Cup (B. Bischl, K. Friedrichs)

Winter Semester 2012/13

  • Lecture Classification methods (C. Weihs)
  • Seminar Data-driven journalism (C. Weihs, H. Wormer)
  • Seminar Multicriteria optimization - Preferences and interactive methods (H. Trautmann)
  • Tutorial Computational Statistics (U. Ligges)

Periodic lectures

Summer Semester 2012

    • Lecture Basics for design of experiments (C. Weihs)
    • Lecture Knowledge discovery in data bases (C. Weihs, K. Morik)

    Winter Semester 2011/12

    • Lecture Computational statistics (C. Weihs)
    • Seminar Computer assisted reporting (C. Weihs, H. Wormer)
    • Multicriteria Optimization (H. Trautmann)
    • Tutorial R-programming (U. Ligges)

    Summer Semester 2011

    • Lecture Knowledge discovery in data bases (C. Weihs, K. Morik)
    • Data Mining Cup (B. Bischl, K. Friedrichs, J. Schiffner)

    Winter Semester 2010/11

    • Lecture Computational statistics (C. Weihs)
    • Seminar Multicriteria optimization (H. Trautmann)
    • Seminar Support vector machines and kernel methods (B. Bischl, H. Trautmann)
    • Seminar Computer assisted reporting (C. Weihs, H. Wormer)
    • Tutorial R-programming (U. Ligges)

    Summer Semester 2010

    • Lecture Basics for design of experiments (C. Weihs)
    • Seminar Control charts (H. Trautmann)
    • Data Mining Cup (B. Bischl, J. Schiffner)
    • Tutorial Knowledge discovery in data bases (U. Ligges, K. Morik)