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This entry is from Summer semester 2021 and might be obsolete. No current equivalent could be found.

CS 596 — Advanced Module Databionics
(dt. Fortgeschrittenenmodul Datenbionik)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements		 9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Written or oral examination
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
Duration,
frequency		 One semester,
irregular
Person in charge of the module's outline Prof. Dr. Alfred Ultsch

Contents

Building on the basic modules in Data Bionics / Knowledge Discovery, further topics from the fields of Data Bionics, Artificial Intelligence, Machine Learning and Bioinformatics are dealt with intensively.


Qualification Goals

The students shall

  • acquire in-depth knowledge and skills in the transfer of algorithms for data processing observed in nature into computer programs and learn to apply them in practice,
  • learn to apply the acquired knowledge and skills by means of selected applications,
  • improve their oral communication skills in the exercises by practicing free speech in front of an audience and during discussion.

Prerequisites

None.


Applicability

Module imported from B.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Mathematics
  • B.Sc. Business Informatics
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • M.Sc. Business Mathematics

When studying M.Sc. Computer Science, this module can be attended in the study area Specialization Modules in Computer Science.

The module is assigned to Practical Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • Depending on topic



Please note:

This page describes a module according to the latest valid module guide in Summer semester 2021. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.