Course Name Introduction to Intelligent Systems Science I
Instructor and position Katsumi Inoue, Professor,
Seiji Yamada, Professor,
Nobuhiro Furuyama, Associate professor,
Tetsunari Inamura, Associate professor,
Ryutaro Ichise, Associate professor,
Michel Houle, Visiting Professor
Yusuke@Miyao, Associate professor
Students ‚P-‚Tth year
Credits ‚Q
Lecture/experiment lecture
Summary This course gives knowledge on fundamental fields, AI, soft computing, cognitive science, natural language processing for intelligent systemsb science.
Aims Acquirement of knowledge on fundamental fields for intelligent systems science.
Plan
(1) Artificial intelligence including logic, reasoning, problem solving and search,
(2) Soft computing including fuzzy systems, evolutionary computation,
(3) Cognitive science including problems on human perception and actions,
(4) Intelligent Robotics including audio-visual information processing, behavior learning, interactive behavior constitution,
(5) Machine learning including version space, decision tree, and cluster analysis.
Evaluation criteria Achievement of the aim will be assessed by questions in the class, a report and presentation.
Textbooks none
References none
Prerequisites none
Remarks none

 

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