5570 - 人工智慧與專家系統
Artificial Intelligence and Expert Systems
教育目標 Course Target
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.
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 explore 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 methods on the statistical notion on data modeling will be emphasized.
參考書目 Reference Books
Kecman, Vojislav, “Learning and Soft Computing”, The MIT Press, 2001
Kecman, Vojislav, “Learning and Soft Computing”, The MIT Press, 2001
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
participation and discussion participation and discussion |
20 | |
|
homework homework |
20 | |
|
midterm report midterm report |
30 | |
|
final report Final report |
30 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5570
- 學分 Credit: 3-0
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上課時間 Course Time:Wednesday/7,8,9[ST021]
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授課教師 Teacher:彭 泉
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修課班級 Class:工工碩博1,2
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選課備註 Memo:GE6101
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