Moses - Current Topics in Computational Neuroscience

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Module / Version:
#40130 / #2

Validity:
Seit SS 2017

Default display language:
English

Module title:
Current Topics in Computational Neuroscience

Credits:
3

Responsible person:
Sprekeler, Henning

Grading:
unbenotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34352100 FG Modellierung kognitiver Prozesse

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 5-3

Contact person:
Bunkelmann, Cathrin

E-mail address:
h.sprekeler@tu-berlin.de

Website:
No information

Learning Outcomes

Acquisition of deeper knowledge in current research topics of computational neuroscience. Students will be able to search relevant actual literature to a given topic, and present their results in a talk and a written report.

Content

Course with changing content in the area of computational neuroscience, cognitive science and related research fields, e.g., network dynamics, neural plasticity and learning, perception, decision making, planning, behavioural learning, language acquisition, etc.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Current Topics in Computational Neuroscience	SEM	0434 L 7294	SoSe	No information	2

Workload and Credit Points

Current Topics in Computational Neuroscience (SEM):

Workload description	Multiplier	Hours	Total
Präsenzzeit	15.0	2.0h	30.0h
Vor-/Nachbereitung	15.0	4.0h	60.0h
			90.0h(~3 LP)

The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Seminar with active participation of the students.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

A solid foundation in mathematics (analysis, linear algebra, probability). Basic knowledge of neuroscience and/or cognitive science will be an advantage.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

ungraded

Type of exam

Portfolio examination

Type of portfolio examination

No information

Language

English

Test elements

Name	Points/Weight	Categorie	Duration/Extent
Preparation meeting for presentation	1	practical	1h
Presentation	1	oral	30-60min
Report	1	written	4 pages

Grading scale

Test description (Module completion)

The exam has the format of a portfolio exam (Portfolioprüfung). Overall, 100 portfolio points can be reached: - seminar talk (49 points) - test talk prior to the seminar talk (10 points) - written report (41 points).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 100.

Registration Procedures

Please contact Cathrin Bunkelmann (cognition@tu-berlin.de) prior to the beginning of the semester. Registration in compliance with regulations; further information is provided in the lecture.

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
Computer Engineering (M. Sc.)	1	30	SS 2017	SoSe 2024
Computer Science (Informatik) (M. Sc.)	1	25	SS 2017	SoSe 2024
Elektrotechnik (M. Sc.)	1	15	SS 2017	SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)	1	15	WS 2017/18	SoSe 2024

Students of other degrees can participate in this module without capacity testing.

Miscellaneous