Course content

The student will, with supervisor's conscent, choose two topics of 3.75 credits each.
TDT04 Biologically-Inspired Methods.
TDT11 Evolvable Hardware, Fault Toleranse and Adaptivity.
TDT24 Parallel Environments and Numerical Metods.
TDT39 Empirical Studies in IT.
TDT44 Semantic Web.
TDT46 Information Retrieval.
TDT55 Knowledge Intensive CBR.

Learning outcome

The course will provide in-depth knowledge about issues relevant to computer architecture and design, algorithm construction, high performance computing, graphics and visualisation.

Learning methods and activities

Lectures, exercises, seminars and independent studies. In case of continuation exams, these will be arranged before the end of the same exam period.

Recommended previous knowledge

Theoretical background on master/graduate level within the focus area of the course. This course is only available to students admittet to relevant master programmes in technology. It is also available to international students with satisfactory background.

Course materials

Announced at semester start.

Credit reductions