| NUMMER: | 202621 |
| KÜRZEL: | MPCP |
| MODULBEAUFTRAGTE:R: | PD Dr. rer. medic. Martin Eisenacher |
| DOZENT:IN: | PD Dr. Martin Eisenacher |
| FAKULTÄT: | Fakultät für Biologie |
| SPRACHE: | Deutsch oder Englisch |
| SWS: | 4 SWS |
| CREDITS: | 5 CP |
| ANGEBOTEN IM: | jedes Sommersemester |
PRÜFUNGEN
| FORM: | Semesterbegleitend; Written protocol, documentation of the practical task, final slide presentation |
| TERMIN: | Siehe Prüfungsamt. |
LERNFORM
Introductory weeks, independent working on the practical task alone or as group work
LERNZIELE
After successful completion of the module students:∙ can take on practical challenges in the development of bioinformatics applications,
∙ the students have got to know programming libraries from the field of bioinformatics
∙ have practiced the use of workflow systems
∙ have learned the mechanisms of code and program documentation
∙ have practiced procedures used to provide own libraries (e.g. R packages, .jar files)
Discipline-specific competences:
∙ Programming of solutions for bioinformatics applications
∙ Handling of standard tools / formats and programming libraries of bioinformatics
∙ Dealing with large amounts of data
Generic competences:
∙ Instrumental competences
– Project and time management with digital tools
– Scientifically structured documentation
∙ Systemic competences
– Teamwork and ability to work in a team
– Independent learning and working
∙ Communicative skills
– Presentation of scientific results
– Using English technical terms used in Bioinformatics
– Rhetoric and linguistic competence (German / English)
INHALT
Bioinformatics naturally applies computer science methods to the data of a life science applicationarea, i. e. it represents applied digitization per se. The internship teaches the basics
of programming / development with relations life science applications utilizing data of highthroughput
mass spectrometry / Proteomics. After a short introduction (presence meeting)
in programming and development environments (e.g. Java, R, C++, eclipse, RStudio, Python,
Matlab, KNIME), practical programming tasks will be enrolled and edited during the
semester, if necessary with further face-to-face meetings to discuss progress.
VORAUSSETZUNGEN CREDITS
Written protocol (see “Prüfungsformen”), processing / documentation of the practical task,participation in the face-to-face meetings, final presentation
EMPFOHLENE VORKENNTNISSE
Modules from the focal point Bioinformatics (e.g. lecture“Bioinformatics for Proteomics I”)