Intelligent Technology - Calculation and programming 7.5 Credits

Framtidens intelligenta teknik - Beräkning och programmering
First cycle, P0048A
Course syllabus valid: Autumn 2013 Sp 1 - Spring 2015 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.

Last term
ST 2015

Syllabus established
by Department of Human Work Sciences 15 Dec 2008

Last revised
by Director of Undergraduate Studies Bo Jonsson, Department of Business Administration, Technology and Social Sciences 20 Jun 2013

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

Entry requirements

In order to meet the general entry reguirements for first cycle studies you must have successfully completed upper secondary education and documented skills in English language. and Minimum 30 ECTS in the areas of Cognitive Science, Computer Science and/or Neuroscience. Alternatively minimum 30 ECTS including (P0012A) Intelligent Technology – Computation and the Brain.

More information about English language requirements


Selection B

Course Aim
The student shall learn basic computational and programming models in Theoretical neuroscience, and obtain basic skills in simulating human cognition. 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.

Methods for calculation and programming within the field of Theoretical neuroscience.

Internet course, comprising individual studies.

Assignments and laboratory sections.

Students must register for the courses themselves, or contact ETS educational administration, 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.

Course pace is flexible.
Taught in Swedish and English.

Associated courses are:
P0008A Intelligent Technology of the future – Cognitive science;
P0012A Intelligent Technology – Computation and the Brain;
P0048A Intelligent Technology – Calculation and Programming;
P0058A Intelligent Technology – Scientific Method;
P0059A Intelligent Technology – Project Work;
P7010A Intelligent Technology – Cyborgs & Humanoid Robots;
P0034A Intelligent Technology – Computational Neuroscience;
P7023A Intelligent Technology – Scientific Work.

Peter Bengtsson - Associate Professor

Literature. Valid from Autumn 2013 Sp 1 (May change until 10 weeks before course start)
Relevant reference literature is chosen by the student/students

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

0002Introduction0.5U G#
0003Assignment Report, Laboratory work, Seminars7.0U G#