phy735 - Compulsory Optional Subject Neurophysics and Neurotechnology (Complete module description)

phy735 - Compulsory Optional Subject Neurophysics and Neurotechnology (Complete module description)

Original version English PDF download
Module label Compulsory Optional Subject Neurophysics and Neurotechnology
Module code phy735
Credit points 6.0 KP
Workload 180 h
(
Präsenzzeit: 56 Stunden Selbststudium: 124 Stunden
)
Institute directory Institute of Physics
Applicability of the module
  • Master's Programme Physics, Engineering and Medicine (Master) > Mastermodule
Responsible persons
  • Dietz, Mathias (module responsibility)
  • Anemüller, Jörn (authorised to take exams)
  • Dietz, Mathias (authorised to take exams)
  • Doclo, Simon (authorised to take exams)
  • Hohmann, Volker (authorised to take exams)
  • Kollmeier, Birger (authorised to take exams)
  • Lücke, Jörg (authorised to take exams)
  • Meyer, Bernd (authorised to take exams)
  • Uppenkamp, Stefan (authorised to take exams)
Prerequisites
Bachelor Physik, Technik und Medizin oder entsprechend
Skills to be acquired in this module
Die Studierenden kennen nichtinvasive und invasive Forschungsmethoden und -gegenstände des Exzellenzclusters Hearing4all im biomedizinischen, neurophysiologischen und neuropsychologischen Bereich und können sie anwenden.
Module contents

Auswahl von Veranstaltungen im Umfang von insgesamt 6 KP, Beipiele:

·         Bildgebende Verfahren in der Medizin (VL, 3 KP)

·         Seminar Neurophysik (SE, 3 KP) 

·         Biophysics of Sensory Reception, VL/SE (6 KP)

·         Computational Neuroscience – Statistical learning,· VL/Ü/SE (6KP)

·         Informationsverarbeitung und Kommunikation, VL/Ü (6 KP)

·         Introduction in Data Analysis with Python, VL, Ü (6 KP)

·         Angebote aus Studiengang Neurokognitive Psychologie (6 KP,·nach individueller Vereinbarung)

·         Angebot eaus HNO- und Neurophysiologie/Neurochirurgie (6 KP) (Aus Medizin-Studiengang,
          nach individueller Vereinbarung)
Recommended reading

Biophysics of Sensory Reception, see for example:

Kaupp (2010) Nat. Rev. Neurosc. 11:188-200

Palkar et al. (2015) Curr. Opinion Neurobiol. 34:14-19

Pan & Holt (2015) Curr. Opinion Neurobiol. 34:165-171

Lumpkin & Caterina (2007) Nature 445: 858-865

Lamb (2013) Progr. Retinal Eye Res. 36: 52e119; Progress in Retinal and Eye Research 20: 49-94

Baker et al. (2013) J. Exp. Biol. 216:2515-2522

Czech-Damal et al (2013) J. Comp. Physiol. 199:555-563

Hore & Mouritsen (2016) Ann. Rev. Biophys. 45: 299–344

Julius & Nathans (2012) Cold Spring Harbour Perspect Biol 2012;4:a005991

Introduction in Data Analysis with Python:

Mark Lutz, Learning Python: Powerful Object-Oriented Programming (2013, 5th Edition), O'Reilly Media Inc. 1590 pages

Jess M. Kinder & Philip Nelson: A Student's Guide to Python for Physical Modeling (2015) Princeton University Press, 139 pages

David Beazly & Brian K. Jones, Python Cookbook: Recipes for Mastering Python 3 (2013, 3rd Edition) O'Reilly Media Inc.687 pages.

Wes McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (2013, 1st Edition) O'Reilly Media Inc. 447 pages
Links
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency Sommersemester
Module capacity unlimited
Reference text
Type of module Wahlpflicht / Elective
Module level MM (Mastermodul / Master module)
Teaching/Learning method Biophysics of Sensory Reception: Vorlesung: 2 SWS, Seminar: 2 SWS
 Computational Neuroscience – Statistical learning: Vorlesung/Übung/Seminar: 4 SWS
 Informationsverarbeitung und Kommunikation: Vorlesung: 2 SWS, Übungen: 2 SWS
 Introduction in Data Analysis with Python: Vorlesung: 2 SWS, Übung: 2 SWS
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 WiSe 28
Seminar SuSe or WiSe 0
Exercises 2 WiSe 28
Total module attendance time 56 h
Examination Prüfungszeiten Type of examination
Final exam of module
M