Universität Wien
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301080 VU Bioinformatics for biologists (2020S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle

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).

Details

max. 80 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

each Thu. 13.00 - 16.00
HS/STB, Viennabiocenter 5 (VBC5), 1030 Vienna.
IMPORTANT: The first session starts will with the preliminary meeting (Vorbesprechung). To get a place assigned for this course attendance absolutely essential.

  • Thursday 05.03. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 19.03. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 26.03. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 02.04. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 23.04. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 30.04. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 07.05. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 14.05. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 28.05. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 04.06. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 18.06. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Thursday 25.06. 13:00 - 16:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien

Information

Aims, contents and method of the course

a. Aims: Understanding of the underlying concepts and methods of bioinformatics,
b. Content: The lecture aims at giving a broad overview about bioinformatics methods and applications from the areas of exact string matching, pairwise sequence alignment algorithms, multiple sequence alignment methods, sequence database searching, a short primer about probability on sequences, hidden Markov models (HMMs), phylogenetic tree reconstruction, high throughput sequencing methods, genome assembly, read mapping, and genome analysis.
c. Methods: Lectures, graded exercises (Moodle), exercise discussions, complementary homework (as preparation for the tests),

Assessment and permitted materials

a. Type of assessment: During the course there are two written tests (multiple choice and open questions) which count 30% each and cover about half the topics of the course, and there are 4 homework assignments, of which the solutions have to be submitted and count 10% each.
b. Permitted material: There is no materal allowed during the written tests (this includes mobile phones, smartphones, handheld calculators, etc).

Minimum requirements and assessment criteria

a. Minimum requirements: Attendance at the preliminary meeting at the first session! Attendance during the course (this will be checked in the first lecture and during the tests and exercise discussions), To pass the course one has to obtain at least 50% of the possible weighted 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 lectures, the handouts, the exercises, the exercise discussions and the complementary homework.

Reading list

A list of possible textbooks will be presented in the first lecture. Additional references are given throughout the lectures.

Association in the course directory

BMB 7, BMG 7

Last modified: Mo 07.09.2020 15:22