053520 VU Algorithmic bioinformatics (2021S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 15.02.2021 09:00 to Mo 22.02.2021 09:00
- Deregistration possible until Su 14.03.2021 23:59
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
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)
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
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.