朝陽科技大學 092學年度第2學期教學大綱
Knowledge Engineering 知識工程

當期課號 7070 Course Number 7070
授課教師 陳榮靜 Instructor CHEN,RUNG CHING
中文課名 知識工程 Course Name Knowledge Engineering
開課單位 資訊管理系碩士班一A Department  
修習別 選修 Required/Elective Elective
學分數 3 Credits 3
課程目標 本課程以人工智慧技術為主探討知識建構與推論技術, 建立各種知識的表示法以及知識推論的技巧. 目的在培養學生如何將人的知識轉成計算機推論的知識內容以建構智慧型之系統, 內容包括 1. 智慧型知識系統簡介 2.人工智慧技術發展3. 一階與高階邏輯推論4. 規則推論系統5.模糊規則推論6.框架系統7.案例推論與黑板系統8.神經網路與遺傳演算法 9. 混合式推論系統10. 知識與資料探勘 11.語意網應用與討論 Objectives This course is based on artificial intelligence system. The puropose of the course will let students have ability to transfer human knowledge to machine reasonable knowledge. The content includes: knowledge-based intelligent systems, rule-based expert system and uncertainty management, first order and high order logic, fuzzy expert model, frame-based expert system and blackboard system, case reasoning, evolutionary computation, neural network, hybrid intelligent system, data mining and knowledge discover and semantic web primer discussion.
教材 教室授課 Teaching Materials Teaching in classroom
成績評量方式 書面報告: 20%
論文上台報告:30%
期末報告: 30%
出席: 20%
Grading general reports: 20%
final reports:30%
oral reports:30%
present: 20%
教師網頁  
教學內容 本課程探討相關之資訊管理技術並以人工智慧為主內容包括knowledge-based intelligent systems , rule-based expertsystem, uncertainty management, fuzzy expert model, frame-based expert system, case reasoning, evolutionary computation , hybird intelligent system. Syllabus This course is focous on artifical intelligence system. The contents include: knowledge-based intelligent systems , rule-based expertsystem, uncertainty management, fuzzy expert model, frame-based expert system, case reasoning, evolutionary computation , hybird intelligent system.
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