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Core Lecture "Information Retrieval and Data Mining" WS 2009/10

Lecturer: Prof. Dr.-Ing. Gerhard Weikum

Teaching assistants:
Avishek Anand
Rawia Awadallah
Laura Dietz
Shady Elbassuoni
Lizhen Qu
Stephan Seufert
Bilyana Taneva
Yafang Wang

NOTE: Final Grades for the course can be found here . Please come to Ms. Schaaf (room 402) to pick up your 'Schein'.


The lecture teaches mathematical models and algorithms that form the basis for search engines for the Web, intranets, and digital libraries and for data mining and analysis tools. Information Retrieval and Data Mining are technologies for searching, analyzing and automatically organizing text documents, multi-media documents, and structured or semistructured data.


Students planning to attend the course should be familiar with basic models and methods from linear algebra (e.g. singular-value decomposition) as well as probability theory and statistics (e.g. Bayesian networks and Markov chains).

Requirements for Passing the Course:

The requirements for passing the course and obtaining credit points are:

  1. You must convincingly present a correct solution to two of the exercises in the tutoring group.
  2. You must pass at least two out of three tests that will be offered during the semester. The tests will be in written form, each with two or three questions that repeat material from the lecture and the assignments. Each test will last 45 to 60 minutes and will be on the following dates: November 12, December 10, and January 28.
  3. You must pass a final exam, in oral or written form (more likely in oral form, lasting 15-20 minutes).

Grading System:

Your grades will be primarily determined by the final exam. You can earn bonus points that will improve your grade in the following ways, where one bonus point corresponds to a third mark in the German grading system (so that three bonus points will improve your grade from the final exam by a full mark, e.g., from 3.0 (C) to 2.0 (B) or from 2.7 (C+) to 1.7 (B+)).

  1. Each time you convincingly present a correct solution to one of the exercises in your tutoring group, in addition to the two mandatory presentations for passing, will earn you one bonus point. You can earn up to 2 bonus points this way.
  2. The tests will be assessed with one of the following coarse-grained grades: very good, ok, failed. Each test that is graded as very good will earn you one bonus point. You can earn up to 3 bonus points this way.



Third Exam: