99年第2學期-4437 人工智慧與專家系統 課程資訊

評分方式

評分項目	配分比例	說明
participation and discussion	20
homework	20
midterm report	30
final report	30

教育目標

This course is designed for the Ph.D. and aggresive Master students. The purpose of this course is to help the students to facilitate the knowledge of Artificial Intelligence approaches and the possible applications. The ways to expolore the relationships among data are heavily investigated and discussed in these years. Searching and learning methods are alternative approaches in pursuing the goal. The basic concepts of Machine Learning will be covered and the methodologies on the statistical notion on data modeling will be emphasized.

基本資料

選修課，學分數：0-3
上課時間：二/6,7,8[會議室]
修課班級：工工碩博
修課年級：年級以上
選課備註：B532

參考書目

Kecman, Vojislav, “Learning and Soft Computing”, The MIT Press, 2001