phy614 - Personalized Medicine (Vollständige Modulbeschreibung)
Modulbezeichnung | Personalized Medicine |
Modulkürzel | phy614 |
Kreditpunkte | 6.0 KP |
Workload | 180 h
( attendance: 56 hrs, self study: 124 hrs )
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Einrichtungsverzeichnis | Institut für Physik |
Verwendbarkeit des Moduls |
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Zuständige Personen |
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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; |
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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 |
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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 |