Universität Wien
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270299 VO Basics of Informatics for Chemistry and Biology (2023W)

2.00 ECTS (1.00 SWS), SPL 27 - Chemie
MIXED
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).
Register/Deregister for this course

Details

max. 15 participants
Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 13.10. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 20.10. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 27.10. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 03.11. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 10.11. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 17.11. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 24.11. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 01.12. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 15.12. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 12.01. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 19.01. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG
  • Friday 26.01. 11:30 - 13:00 Seminarraum 11, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

Introduction to the basic concepts of computer science, such as algorithms and
complexity analysis, with emphasis on algorithms relevant for Chemistry and
Biology such as string search and graph algorithms.
Concept of algorithm and data types. Complexity analysis of algorithms;
NP-completeness and computability; search methods and heuristics.
Course material: Lecture notes

Assessment and permitted materials

Oral exam.
Due to the COVID situation exams will be held online via BigBlueButton.

Minimum requirements and assessment criteria

Familiarity with basic computer science concepts.

Examination topics

All lecture content

Reading list

Slides and course materials will be made available via moodle.

Association in the course directory

BC-DAT I-1, IMA I-1

Last modified: Mo 15.04.2024 10:26