The Faculty of Engineering
The Maersk Mc-Kinney Moller Institute, Odense
 
Tools of Artificial intelligence
Kunstig intelligens værktøjerTeaching activity id: RMAI2-U1.
Teaching language: English.ECTS / weighting: 5 ECTS / 0.083 full-time equivalent.
Approved: 15-12-09.
Period: Spring 2014.
Offered in: Odense.
 

Programmes:
Master of Science in Engineering (Robot Systems)
2. semester, mandatory/elective subject. Offered in: Odense.
 
Subject director:
Lektor Ole Dolriis, The Maersk Mc-Kinney Moller Institute.
 
Prerequisites:
Basic object oriented programming knowledge.
 
Content - Key areas:
This course will focus on core tools of AI including neural networks, genetic algorithms and machine learning.
 
Learning outcomes:
After completing this course, the student is able to:
  • show understanding of basic tools of Artificial Intelligence. Such as: machine learning, neural networks and generic algorithms.

 
Form of instruction:
Lectures and exercises.
 
Evaluation
Individual written report based on project and evaluated according to the Danish 7-point grading scale with external co-examiner.
 
Comments:
Please note that this course is part of the 2th semester of the Master in Robotics. The educational concept "The Engineering Education Model of the University of Southern Denmark", which underlies the curriculum for your study program, is structured around the objectives for the study program, the semester and the module. Accordingly, you should, as part of your studies, keep informed on objectives stated in the relevant study level of the curriculum for your study program.

The educational concept "The Engineering Education Model of the University of Southern Denmark", which underlies the curriculum for your study program, is structured around the objectives for the study program, the semester and the module. Accordingly, you should, as part of your studies, keep informed on objectives stated in the relevant study level of the curriculum for your study program.