Course Description

This class will provide an introduction a variety of topics in Data Science, including principles and methods of:

  • Information Retrieval
  • Data Mining
  • Text Mining and Information Extraction
  • Social Network Analysis

Time and Location

  • Lecture: Tuesday 10:15 - 11:15 @ A 5, 6 Bauteil C, Room C 013.
  • Exercise sessions: Wednesday 13:45-15:15 @ A 5, 6 Bauteil C, Room C 013.
  • NOTE: the course starts on Tuesday 4.9!

Grading / Evaluation

  • 100% final exam (prerequisite: at least 50% of the points from 80% of the exercise sheets)

Instructors

Course materials and up-to-date information can be found in our ILIAS group.

Textbooks

Selected chapters from:

  • Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, 2008 (available online: nlp.stanford.edu/IR-book/)
  • Ian H. Witten, Eibe Frank and Mark A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, 3rd edition, 2011
  • Dan Jurafsky and James H. Martin, Speech and Language Processing, 2nd edition, 2008
  • Stuart Russel and Peter Norvig, AI a modern Approach, 3rd Edition, 2010
  • Mark Newman, Networks: An Introduction, 2010