Credit: Anna Logue
Einführung in Data Science
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
Course materials and up-to-date information can be found in our ILIAS group.
Time and Location
- Lecture: Tuesday 10:15 – 11:45 @ A5 C014.
- Exercise sessions: Wednesday 13:45–15:15 A5 C014.
- NOTE: the course starts on Tuesday 13.9!
Grading / Evaluation
- 100% final exam (prerequisite: at least 50% of the points from 80% of the exercise sheets)
Instructors
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