Intelligent Technology - Scientific Work, Course, - Luleå University of Technology

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.

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

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Course offered by

Department of Business Administration, Technology and Social Sciences

Items/credits

Number	Type	Credits	Grade
0004	Written presentation of scientific report	30.0	G U 3 4 5

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

Published:7 November 2013

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