Module Handbook

  • Dynamischer Default-Fachbereich geändert auf BIO

Notes on the module handbook of the department Bio­logy

The below displayed informations on the courses of study, modules and courses of the department of Biology are still under construction. Till this process will be finished please use our module handbooks on

https://www.bio.uni-kl.de/studium-lehre/studiengaenge/

Module BIO-TM1-4_16-M-5

Theoretical Module 1-4: Lecture and Reading Course - Neural Networks (M, 3.0 LP)

Module Identification

Module Number Module Name CP (Effort)
BIO-TM1-4_16-M-5 Theoretical Module 1-4: Lecture and Reading Course - Neural Networks 3.0 CP (90 h)

Basedata

CP, Effort 3.0 CP = 90 h
Position of the semester 1 Sem. in SuSe
Level [5] Master (Entry Level)
Language [EN] English
Module Manager
Lecturers
Reference course of study [BIO-88.Z10-SG] M.Sc. Biology
Livecycle-State [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
S BIO-TPH-04-K-5
Lecture and Reading Course - Neural Networks
P 20 h 70 h
TEILN
- PL1 3.0 SuSe
  • About [BIO-TPH-04-K-5]: Title: "Lecture and Reading Course - Neural Networks"; Presence-Time: 20 h; Self-Study: 70 h
  • About [BIO-TPH-04-K-5]: The study achievement [TEILN] continuous and active participation in the courses must be obtained.

Examination achievement PL1

  • Form of examination: written exam (Klausur) (60-90 Min.)
  • Examination Frequency: each summer semester

Evaluation of grades

The grade of the module examination is also the module grade.


Contents

− Students will hear introductory and summary lectures, read research and review papers, and discuss within the group and with the teacher current topics of neural networks.

Competencies / intended learning achievements

Professional competence:

− Overview of the principles underlying the development and function of neuronal networks.

− Students will evaluate, discuss and compare a variety of experimental strategies, model systems and experimental methods used to advance our understanding of neuronal networks.

− Topics will be explored both in breath and in depth using a combination of text books, reviews and original research papers.

− Students will learn to critically evaluate scientific literature.

Methodological competence: ---

Social competence:

− Learning to discuss scientific issues with other students and the teacher and ex-plaining complex concepts.

− Learning to simplify complicated topics and ideas and to identify their key aspects.

Self-competence:

− Acquirement of scientific knowledge by self-responsible reading of English research literature, and identifying points that require further explanation.

− Critical evaluation of current research data.

Intended Learning Outcomes:

On successfully completing the module students will be able to…

− improve their knowledge in the field of neural networks.

− read and understand specialist English literature (research papers and reviews).

− summarize and discuss orally research papers.

Literature

E. Kandel: Principles of Neuroscience, 5th edition;

L. Luo: Principles of Neurobiology;

Paradiso, Bear, Connors: Neuroscience: Exploring the Brain

and will be provided at or prior to the beginning of the course

Materials

Will be provided at or prior to the beginning of the course

Requirements for attendance (informal)

Bachelor-grade knowledge in molecular biology, genetics, animal physiology, neurobiology

Requirements for attendance (formal)

References to Module / Module Number [BIO-TM1-4_16-M-5]

Course of Study Section Choice/Obligation
[BIO-88.Z10-SG] M.Sc. Biology Theoretical Modules 1-4: Lectures and Reading Courses [P/WP] Compulsory or compulsory elective (depending on the chosen specialization / study profile)