EPN-V2

ACIT4620 Computational Intelligence: Theory and Applications Course description

Course name in Norwegian
Computational Intelligence: Theory and Applications
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2021/2022
Curriculum
FALL 2021
Schedule
Programme description
Course history

Introduction

All aids are permitted.

Recommended preliminary courses

The recommended prior knowledge: Basic knowledge in calculus, statistics and probability theory; Programming skills in Python, R or Matlab

Learning outcomes

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.

Teaching and learning methods

Two internal examiners. External examiner is used periodically.

Course requirements

Associate Professor Evi Zouganeli

Assessment

Robotics and Control courses:

  • ACIT4810 - Advanced Methods in Modelling, Simulation, and Control
  • ACIT4820 - Applied Robotics and Autonomous Systems

Permitted exam materials and equipment

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

Grading scale

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

Examiners

Two internal examiners. External examiner is used periodically.

Course contact person

Professor Jianhua Zhang