5 ECTS / 135 hours of work
|Language of instruction
Finnish and English
Implementation in the spring term, on the 3rd period. Recommended for 4th year students (first M.Sc. year)
After the course the student is capable of explaining the concepts of intelligent systems and operation principles of fuzzy set systems, neural networks, neuro-fuzzy systems and evolutionary computation. The student has skills to construct and tune fuzzy models in Matlab-Simulink environment and to explain the operation of these models. The student is able to explain in an integrating way the principle concepts of neural computing and construct neural network models in Matlab-Simulink environment. The student is able to explain the operation principles of genetic algorithms and to use them in tuning of fuzzy set systems and neural network models.
Fuzzy logic and fuzzy set systems, fuzzy calculus, fuzzy modelling and control, neural computation, neuro-fuzzy methods and evolutionary computation.
|Mode of delivery
Tuition is implemented mainly as face-to-face teaching.
|Learning activities and teaching methods
The amount of guided teaching is 40 hrs including lectures, exercises and a possible seminar presentation. As a self-study, students carry out homework, case study and seminar presentation preparation.
M.Sc. students in process and environmental engineering, machine engineering, computer engineering and industrial engineering and management.
|Prerequisites and co-requisites
No specific prerequisites, but skills for simulation, and programming in Matlab are a benefit.
See "Recommended optional programme components" below.
|Recommended optional programme components
Courses Simulation, and Programming in Matlab reinforce abilities for the exercises and the case study.
|Recommended or required reading
Lecture notes and materials. Other literature.
|Assessment methods and criteria
This course uses continuous assessment that includes homework, classroom or home exams, case study and a possible seminar presentation.
Read more about the course assessment and grading systems of the University of Oulu at www.oulu.fi/english/studying/assessment
The course unit uses a numerical grading scale 1-5. In the numerical scale zero stands for a fail.
|Working life cooperation