phy614 - Personalized Medicine (Vollständige Modulbeschreibung)

phy614 - Personalized Medicine (Vollständige Modulbeschreibung)

Originalfassung Englisch PDF Download
Modulbezeichnung Personalized Medicine
Modulkürzel phy614
Kreditpunkte 6.0 KP
Workload 180 h
(
attendance: 56 hrs, self study: 124 hrs
)
Einrichtungsverzeichnis Institut für Physik
Verwendbarkeit des Moduls
  • Master Engineering Physics (Master) > Schwerpunkt: Biomedical Physics
Zuständige Personen
  • Schmidt, Thorsten (Modulverantwortung)
  • Schmidt, Thorsten (Prüfungsberechtigt)
Teilnahmevoraussetzungen
Statistics, Computing
Kompetenzziele
Students should understand current high-throughput methods used in research and clinics. They should be aware of the advantages and challenges and should be able to judge and interpret the results. In addition, the students should accomplish a sound understanding of basic algorithms which are used to analyze big and complex data sets. They should be able to choose, use and interpret appropriate tools and methods. Finally, students should be able to address the limitations and prospects of big-data analyses in complex systems.
Modulinhalte
The lecture aims to provide an overview about current experimental high-throughput methods and bioinformatic algorithms to address the challenges of exponentially growing amounts of data. In addition to basic algorithms and methods like alignments, hidden markov models, Viterbi, graphs or protein-protein interaction networks, the lecture aims to gives an introduction to a data-driven view of disease biology
Literaturempfehlungen

Genomic and Personalized Medicine:

V1-2 Huntington F. Willard, Geoffrey S. Ginsburg; Academic Press; 2. Edition. (30. Oktober 2012);

Cancer Genomics:

From Bench to Personalized Medicine; Graham Dellaire, Jason Berman; Academic Press; 1. Edition (17. January 2014);

Systems Biology:

A Textbook; Eda Klipp et al (2009); Wiley-VCH Verlag GmbH, Co. KGaA; Auflage: 1. Edition;
Links
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul jährlich
Aufnahmekapazität Modul unbegrenzt
Modulart Wahlpflicht / Elective
Modullevel EB (Ergänzungsbereich / Complementary)
Lehr-/Lernform Lecture: 4 hrs/week
Vorkenntnisse Statistics, Computing
Prüfung Prüfungszeiten Prüfungsform
Gesamtmodul
Max. 3 hrs written exam or 30 min oral exam. Here, you will find information about the consideration of bonus points for module marks.
Lehrveranstaltungsform Vorlesung
SWS 2
Angebotsrhythmus SoSe oder WiSe