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Strukturbaum
Die Veranstaltung wurde 4 mal im Vorlesungsverzeichnis SoSe 2025 gefunden:
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Mathematical Models in Immunology and Cancer Research
Sprache: Englisch
Keine Belegung möglich
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Nr.:
091102620
Vorlesung/Seminar
SoSe 2025
3 SWS
jedes 2. Semester
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Fachgebiet:
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Bioinformatik and Computational Biophysics
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Teilnehmer/-in
erwartet : 12
Maximal : 15
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MedBio M.Sc., Medizinische Biologie (Master of Science)
(
2.
Semester )
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Master of Science Mathematik, Abschluss 87, Master of Science Mathematik (87105)
- Kategorie : WP
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Master of Science Technomathematik, Abschluss 87, Master of Science Technomathematik (87791)
- Kategorie : WP
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Master of Science Wirtschaftsmathematik, Abschluss 87, Master of Science Wirtschaftsmathematik (87772)
- Kategorie : WP
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Master of Science Biologie, Abschluss 87, Master of Science Biologie (87026)
- Kategorie : WP
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Master of Science Medizinische Biologie, Abschluss 87, Master of Science Medizinische Biologie (87C01)
- Kategorie : WP
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Master of Science Molekularbiologie, Abschluss 87, Master of Science Molekularbiologie (87MKB)
- Kategorie : WP
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Master of Science Biodiversität, Abschluss 87, Master of Science Biodiversität (87BID)
- Kategorie : WP
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TM M.Sc., Technomathematik (Master of Science)
(
2.
Semester )
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M M.Sc., Mathematik (Master of Science)
(
2.
Semester )
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WM M.Sc., Wirtschaftsmathematik (Master of Science)
(
2.
Semester )
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Master of Science Aquatische Biologie, Abschluss 87, Master of Science Aquatische Biologie (87AQB)
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Zugeordnete Lehrpersonen:
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Hoffmann
verantwort
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Farahpour
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Termin:
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Dienstag
09:00
-
12:00
wöch.
Maximal 20 Teilnehmer/-in
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Raum S03 S03 A05
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| Literatur: |
Britton, Essential Mathematical Biology, Springer
Murray, Mathematical Biology I and II, Springer
McElreath, Statistical Rethinking, 2nd Edition, CRC
Matthiopoulos, How to be a Quantitative Ecologist, The A to R of green mathematics & statistics, Wiley-VCH
In addition, we will use articles from the research literature. |
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| Bemerkung: |
Biology deals with complex systems and processes. This module is about the quantitative modeling of such systems and processes, specifically in the fields of immunology and cancer research, by mathematical techniques.
Systems and processes could by the evolution of a viral quasispecies, the dynamics of a metabolic or regulatory network, the dynamics of different cell populations of the immune system, etc.
Methods include differential equations, graph based methods, Bayesian modeling, etc.
The module should help students to understand these methods and to apply them to biological systems and processes.
Lecture series in English, seminar preferentially in English |
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| Voraussetzungen: |
- some knowledge of mathematics, programming, and biology is advantageous (specific knowledge in mathematics, programming, and biology will be taught)
- strong interest in mathematical and computational modeling of biological systems, especially in immunology and cancer research |
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| Leistungsnachweis: |
- Seminar talk of about 20 min + discussion |
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