COURSE SYLLABUS

Intelligent Technology - Computational Neuroscience 15 Credits

Framtidens intelligenta teknik - Komputationell neurovetenskap
Second cycle, P7034A
Version
Course syllabus valid: Spring 2018 Sp 3 - Spring 2019 Sp 4
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

Syllabus established
by 19 Feb 2010

Last revised
by Director of Undergraduate Studies Daniel Örtqvist, Department of Business Administration, Technology and Social Sciences 01 Jun 2017

Education level
Second cycle
Grade scale
U G#
Subject
Theoretical Neuroscience
Subject group (SCB)
Other Subjects within Technology

Entry requirements

Minimum of 90 ECTS including P0008A Intelligent Technology of the Future - Cognitive Science and P0012A Intelligent Technology - Computation & the Brain or P7045A Intelligent Technology - Neuroscience & Mathematics. Alternatively, corresponding knowledge acquired by university studies and working experience.


More information about English language requirements


Selection

The selection is based on 20-285 credits



Course Aim
Advanced knowledge in Theoretical Neuroscience.  The student is to deepen knowledge in cognitive and biological neuroscience, as well as train to simulate information processes of the brain. The course is for engineers, behavioural scientists, natural scientists, and others who want to learn about a highly topical and exciting field of research, applying to advanced intelligent machines and man-machine systems.

Contents
Elaborate upon the course content of P0008A Intelligent Technology of the Future – Cognitive Science and P0012A Intelligent Technology – Computation & the Brain. Independent studies guided by supervision concerning: neuroscience-based models for perception, cognition, emotion, action, and motor control; as well as artificial neural networks and mathematical models to simulate information processes of the brain.

Realization
Internet course, comprising individual studies.

Examination
Assignments and laboratory work.

Remarks
Students must register for the courses themselves, or contact ETS educational administration eduets@ltu.se, not later than three days after the quarter commences. Failure to do so can result in the place being lost. This rule also applies to students with a guaranteed place.

Taught in Swedish and English.

Associated courses in the series Intelligent Technology are:
P0008A Intelligent Technology of the future – Cognitive Science;
P0012A Intelligent Technology – Computation & the Brain;
P0065A Intelligent Technology – Computational Neuroscience I;
P7045A Intelligent Technology – Neuroscience & Mathematics;
P7010A Intelligent Technology – Cyborgs & Humanoid Robots;
P0034A Intelligent Technology – Computational Neuroscience;
P7023A Intelligent Technology – Scientific Work.




Examiner
Peter Bengtsson

Literature. Valid from Autumn 2014 Sp 1 (May change until 10 weeks before course start)
Squire, L. R. et al. (2013). Fundamental Neuroscience. 4th Edition. Additional literature will be added according to the teacher's instructions.

Course offered by
Department of Business Administration, Technology and Social Sciences

Items/credits
NumberTypeCreditsGrade
0004Assignment report and laboratory work15.0U G#