
Information Retrieval and Data Mining WS 2005/06 



Content: 
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, multimedia documents, and structured or semistructured data. The course 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. The fundamentals are models and methods from linear algebra and regression (e.g. singularvalue decomposition) as well as probability theory and statistics (e.g. Bayesian networks and Markov chains). 



Announcements: 
Credits (Scheine) are available at the AG 5 secretary (room 402) from Monday, March 13.
The second phase of the online evaluation starts March 6. For more infos see.
Exam results and final grades are online. See.
Students who failed or did not attend the final oral exam, may register for an oral retest on April 24. Please register
by email to julialux@mpiinf.mpg.de no later than April 1.
Final Oral Exams: Wednesday, February 22, and Wednesday, March 1st. For more infos see.
Please check the time of your oral exam, as we had minor
changes in the schedule due to collisions with other exams.
First Quick Test: Thursday, November 17. more infos and writing groups!
Second Quick Test: Tuesday, December 13. We will have the same writing groups as last time
Third Quick Test: Thursday, February 02. We will have again the same writing groups as last time
Lecture Starts: Tuesday, October 18
Registration: The deregistration is possible until November 11 via email to czimmer@mpiinf.mpg.de.
Tutorial Groups: You find your tutorial group on your member card. if you have questions, just send email to czimmer@mpiinf.mpg.de.
Assigments: The first theoretical assignments is online.




Requirements: 
Requirements for obtaining credit points for the course (i.e., successfully passing the course): 
You must convincingly present a correct solution to one of the exercises in the tutoring group at least once.
You must pass at least two out of three quick 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 30 to 45 minutes. The tests will take place at the time of the lecture and in the lecture room, most likely on the following dates: Thursday, November 17, Thursday, December 15 and Tuesday, February 7. The final dates will be announced at least one week in advance.
You must pass a final exam, in oral or written form (more likely in oral form, lasting 1520 minutes), which will take place in the week of February 2024.




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+)). 
Each time you convincingly present a correct solution to one of the exercise in your tutoring group, in addition to the mandatory presentation for passing, will earn you one bonus point. You can earn up to 2 bonus points this way.
The quick tests will be assessed with one of the following coarsegrained 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.




Organisation: 
 Lecture Dates: Tuesday and Thursday, 14:00  16:00, HS 001, Building 45
 Contact to Prof. Weikum: weikum@mpisb.mpg.de




