Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI

Data Mining and Probabilistic Reasoning (Sommersemester 2012)


Allgemeine Information

  • Semesterwochenstunden: 2
  • ECTS: 3
  • Benotet: Ja
  • Einschreibefrist: 1.4.2012 - 25.4.2012
  • Lehrform: VU
  • Belegungsart: Wahlpflichtmodul

Studiengänge & Module

IT-Systems Engineering MA
  • IT-Systems Engineering A
  • IT-Systems Engineering B
  • IT-Systems Engineering C
  • IT-Systems Engineering D
IT-Systems Engineering BA


Probability theory & statistical methods
Information theory
Classification: introduction
Hierachical classifiers
Linear classifiers
Clustering: introduction
Hierarchical clustering
Co-clustering, topic models
Graphical models: introduction
Directed vs. undirected models
Factor graphs & inference
Example: Hidden Markov Models


I. H. Witten, E. Frank, M. A. Hall: Data Mining Practical Machine Learning Tools and Techniques (Chapters 1 - 6)

C. Bishop: Pattern Recognition and Machine Learning (Chapters 1, 2, 4, 8, 9)

D. J. C. MacKay: Information Theory, Inference and Learning Algorithms (Chapters 1 - 6)


Form of exam: oral exam at the end of the term

Condition for exam admission: oral presentation of at least two solutions during the tutorials


Lectures: Mondays 15:15 - 16:45, room A-2.2

Exercises: biweekly, Thursdays 17:00 - 18:40, room A-2.2