Universität Wien FIND

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Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

053520 VU Algorithmic bioinformatics (2021S)

Continuous assessment of course work

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes

VB: TUE 02.03.2021 10.00-12.00 venue: STB/lecture halls A+B Strukturchemie Campus Vienna Biocenter 5, 1030 Vienna (possibly online); TUE weekly from 02.03.2021 to 29.06.2021 10.00-12.00 venue: STB/lecture halls A+B Strukturchemie Campus Vienna Biocenter 5, 1030 Vienna; FRI weekly from 05.03.2021 to 25.06.2021 9.30-11.30 venue: STB/lecture halls A+B Strukturchemie Campus Vienna Biocenter 5, 1030 Vienna
REMARK: The initial meeting (Vorbesprechung), lectures and exercise discussions will take place in presence, hybrid or in distance learning online, depending on the situation and Corona/COVID-19 restrictions valid during the semester.


Information

Aims, contents and method of the course

a. Aims: The students gain fundamental knowledge and understanding of the algorithms used in modern bioinformatics in theory and practice. The students can independently develop, apply and modify existing algorthms.
b. Content: The course aims at giving an overview about the different classes of algorithmic and their application in bioinformatics like randomised algorithms, graph algorithms, brute force algorithms, dynamic programming, combinatorial algorithms, evolutionary tree reconstruction, clustering algorithms, cominatorial pattern matching, hidden Markov modells and methods of computational proteomics.
c. Methods: Lectures, exercises about each lecture topic including programming, exercise discussion including students presenting their solutions.
REMARK: The lectures and exercise discussions will take place in presence, hybrid or in distance learning online, depending on the Corona/COVID-19 restrictions valid during the semester.

Assessment and permitted materials

Type of assessment: During the course ecxercises have to be solved and submitted via Moodle. The exercises include implementing algorithms to solve the exercise tasks. In addition all students have to present solutions at the blackboard during the course.

Minimum requirements and assessment criteria

a. Minimum requirements: Attendance during the course, presentation of results, submission of exercises. To pass the course one has to obtain at least 50% of the possible sum of points. The obtained percentage of the points determines the actual grade.
b. Assessment criteria: The following obtained percentages correspond to the following grades:
>=87.5%: grade 1 (very good)
<87.5%: grade 2 (good)
<75.0%: grade 3 (satisfactory)
<62.5%: grade 4 (sufficient)
<50.0%: grade 5 (insufficient)

Examination topics

Relevant is all content of the course, the lectures, the exercises and the exercise discussions.

Reading list

Useful literatur for the course is "Bioinformatics Algorithms: An Active Learning Approach" by Compeau and Pevzner, either the two-volume version from 2015 or the one-volume version from 2018.

Association in the course directory

Module: BIOINF02

Last modified: Fr 05.02.2021 15:48