DAT160 Intelligent robots

Contents and structure

The course gives an introduction to intelligent robots. This includes fundamental principles, programming, software architectures, intelligence, simulation and the application of robots.

Learning Outcome

Knowledge

• Fundamental knowledge about intelligent robots, with a focus on applications, programming and intelligence.
• Fundamental knowledge about modelling and simulation of mobile robots.

Skills

• Simple programming and simulation of mobile robots.
• Programming and design of software architectures for simple intelligent robots. 

General competencies

• The candidate can take responsibility for projects concerning the application of intelligent robots. 

Entry requirements

None.

Recommended previous knowledge

Recommended prerequisites: Basic knowledge of programming, algorithms and mathematics as covered by the second year of studies in the computing and information technology programs. Knowledge of Matlab and Python is a plus.

Teaching methods

Lectures, labs, and obligatory exercises.

Compulsory learning activities

3 approved exercises. Approved exercises will be valid for the 3 following semesters.

Assessment

Exam in two parts: 

1. Individual written exam (70%). Oral exam if fewer than 10 students are enrolled.
2. Project thesis (written report) in group (30%). 

Grading scale is A-F where F is fail.

Both parts must get a passing grade in order to get a final grade for the course.

Examination support material

All written, calculator (all), pc (no internet).

More about examination support material