COURSE SYLLABUS

Intelligent Technology - Scientific Work 30 Credits

Framtidens intelligenta teknik - Vetenskapligt arbete
Second cycle, P7023A
Version
Course syllabus valid: Autumn 2015 Sp 1 - Spring 2017 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 18 Dec 2008

Last revised
by Director of Undergraduate Studies Bo Jonsson, Department of Business Administration, Technology and Social Sciences 21 Oct 2014

Education level
Second cycle
Grade scale
G U 3 4 5
Subject
Theoretical Neuroscience
Subject group (SCB)
Other Subjects within Technology

Entry requirements

Minimum 90 ECTS first cycle and minimum 30 ECTS second cycle studies including P7034A Intelligent Technology - Computational Neuroscience.


More information about English language requirements


Selection

The selection is based on 20-285 credits



Course Aim
Upon finalizing the course the student shall have advanced know how about simulation of psychological and cognitive functions by means of a computer or a humanoid robot. The student shall also practice on carrying out and reporting a scientific work. 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.

Contents
The student shall simulate a cognitive function by means of a computer and write a paper about that.The work shall be based on up to date reasearch in the field of Computational cognitive neuroscience.

Realization
Internet course, individual studies and guidance from lecturer.

Examination
Written scientific report.

Remarks
Students must register for the courses themselves, or contact ETS educational administration eduets@ltu.se, not later than five 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 2015 Sp 1 (May change until 10 weeks before course start)
Relevant reference litterture for the project

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

Items/credits
NumberTypeCreditsGrade
0004Written presentation of scientific report30.0G U 3 4 5