 02.04.2009 | |
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Wenn nicht anders angegeben finden die Veranstaltungen im Institut für Informatik, Takustraße 9, statt.
| Reinert/Bockmayr |
Exercises: Fri | 12.30 s.t.-14 | SR 005 | ||||
| Linear programming; Combinatorial optimization; Graph algorithms; Advanced data structures; Discrete modelling; RNA and protein structure analysis; Molecular evolution.
Target group: MSc students of Bioinformatics: In the new "Studienordnung": Pflichtmodul P1. In the old "Studienordnung": Can be used for areas C and D. Literature: tbd Exercises: There is an obligatory exercise for this lecture. A successfull participation will count as "aktive Teilnahme". There will be no marks for the exercises. First lecture: 17.10. | ||||||
| Reinert |
| In the seminar we discuss important and recent research results in the field of algorithmic genome comparison. The seminar can be accounted under "Studienbereich" C or D. In the new MSC Regulations it is W2 B. The goal of the seminar is twofold: 1. The participants should get an insight of the current research in the field 2. The participants will practice to read original research articles, work through them and present the gist of it in a coherent form to the other participants. It is expected that the participants give a presentation and work on a small project. In addition the participants will write a short (< 0.5 page) evaluation of each presenter (will be done directly after the talk). The mark will be given according to the quality of the slides, the oral representation and the level of participation.
Target group: MSc students (KVV) | ||||||
| Reinert |
| In this seminar we will present original work in Computational biology as well as progress reports from PhD students. Master students can participate and are assigned a paper to present. If they talk about their masters thesis, no credits are awarded. Target group: Master and PhD students (max. 5) (KVV) | ||||||
| Döring |
nachmittags | Übungen: Raum 017 (Arnimallee 2-4) | |||||
| (Blockkurs)
Die Veranstaltung gibt eine Einführung in die Programmiersprache C/C++ für Studierende, die bereits über Grundkenntnisse einer imperativen Programmiersprache (wie z.B. Java) verfügen. Die Lehrinhalte werden durch Rechnerübungen vertieft.
Anmerkung: Bei dieser Veranstaltung kann lediglich ein unbenoteter Leistungsnachweis (2 ECTS credits) erworben werden. Zielgruppe: Studierende der Informatik oder Bioinformatik. (max. 30 Teilnehmer) (KVV) | ||||||
in Genetik und Bioinformatik: Proteomics | Reinert/Gröpl |
| Goal of the lecture is to elaborate on algorithmic and statistical questions connected with the analysis of proteomic data. This includes methods for Protein ID, PMF, MS^n, and quantification. (KVV) | ||||||