EPN-V2

ACIT4610 Evolutionary artificial intelligence and robotics Course description

Course name in Norwegian
Evolutionary artificial intelligence and robotics
Weight
10.0 ECTS
Year of study
2022/2023
Course history
Curriculum
FALL 2022
Schedule
Programme description

  • Introduction

    All, computer with MATLAB and Simulink.

  • Required preliminary courses

    For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

  • Learning outcomes

    Two internal examiners. External examiner is used periodically.

  • Teaching and learning methods

    Associate Professor Tiina Komulainen

  • Course requirements

    Basic course in control theory, linear systems and system dynamics. Basic understanding of matrix algebra, statistics, and programming using MATLAB or similar.

  • Assessment

    • Data driven dynamic modelling (system identification)
    • State estimation
    • Model-based PID-tuning methods
    • Multivariable control algorithms
    • Predictive control algorithms
    • Implementation, testing and validation with numerical simulation.

  • Permitted exam materials and equipment

    All aids are permitted. For the oral exam, students will not have access to computers or other aids.

  • Grading scale

    Grade scale A-F.

  • Examiners

    Two internal examiners. External examiner is used periodically.

  • Course contact person

    Ola Huse Ramstad