Curriculum

Two major themes of this course are ‘Modern Control System’ and ‘Computational Intelligence’. Each lecture will address a balanced emphasis on the theory about the control system and its applications in practice. The first part of this course includes digital control system design and state-space methods for control system design. The basic system identification scheme will also be included, considering the control of unknown systems. Once background knowledge of the modern control system is established, this course will then focus on the second part composed of computational intelligence using fuzzy logic, artificial neural network, and evolutionary computation as main topics to introduce recent trend in intelligent control. Term projects will be assigned to test the algorithms to the given problems. (Prerequisites: EE381)

Special topics in electrical engineering for new theoretical and applied fields will be covered in this lecture that involves a suitable subtopic(s).

Special topics in electrical engineering for new theoretical and applied fields will be covered in this lecture that involves a suitable subtopic(s).

This course covers topics of interest in electrical engineering at the undergraduate level. The course content is specifically designed by the instructor.

In this course, the student selects an advisor and a research topic and conducts research to expand his basic understanding and application regarding a specific research topic in electrical engineering.

In this course, the student selects an advisor and a research topic and conducts research for basic understanding and application of a simple specific topic in electrical engineering.

This course is composed of invited lectures from experts in electrical engineering and various areas.