neu650 - Neuroscience Team Project

neu650 - Neuroscience Team Project

Department für Neurowissenschaften 9 KP
Modulteile Semesterveranstaltungen Sommersemester 2024 Prüfungsleistung
Seminar
  • Uneingeschränkter Zugang 6.03.651 - Neuroscience Team Project Lehrende anzeigen
    • Prof. Dr. Jörg Albert
    • Dr. Go Ashida
    • Prof. Dr. Jan Clemens
    • Prof. Dr. Jutta Kretzberg

    Termine am Montag, 10.06.2024 - Freitag, 14.06.2024, Montag, 17.06.2024 - Freitag, 21.06.2024, Montag, 24.06.2024 - Freitag, 28.06.2024, Montag, 01.07.2024 - Freitag, 05.07.2024 08:00 - 10:00
Praktikum
  • Uneingeschränkter Zugang 6.03.652 - Neuroscience Team Project Lehrende anzeigen
    • Prof. Dr. Jutta Kretzberg
    • Prof. Dr. Jan Clemens
    • Prof. Dr. Jörg Albert
    • Dr. Go Ashida

    Termine am Montag, 10.06.2024 - Freitag, 14.06.2024, Montag, 17.06.2024 - Freitag, 21.06.2024, Montag, 24.06.2024 - Freitag, 28.06.2024, Montag, 01.07.2024 - Freitag, 05.07.2024 10:00 - 16:00
Hinweise zum Modul
Teilnahmevoraussetzungen

Students from other programs are welcome when space is available.

Dependent on the choice of the project, different modules are prerequisites: Current choices:

neu340 (invertebrate neuroscience)
neu245 (Computational Neuroscience – biophysical modeling
)

Kapazität/Teilnehmerzahl 12
Prüfungszeiten
Portfolio tasks are performed during the module. The poster must be submitted and presented 1 week after completion of the practical work. The poster must be presented additionally at the student poster symposium (orientation week before winter semester).
Prüfungsleistung Modul
Portfolio, consisting of
  • Project plan
  • Practical experimental or modeling work, discussed in frequent oral status reports
  • Poster
Kompetenzziele

Goals of this module:

upon completion of this module, students have experienced the full cycle of a research project in a small (4 weeks full time) team project (2-5 students):

  • Definition of an exact research question
  • Development of a teamwork project schedule
  • Literature search
  • Application of experimental or modeling methods they have learned in a preceding background module
Data analysis
 
  • Frequent oral status reports and data discussion
  • Poster presentation


Skills to be acquired/ competencies:

+             Neuroscience knowledge
+             Experimental Methods
+             Scientific Literature
++          Social skills
+             Maths/Stats/Programming
++          Independent Research
++          Data presentation/discussion
+             Scientific English
++          Ethics

 


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