1.介紹引導學生瞭解電腦化決策支援系統理論、技術、系統、架構與應用，包括系統概念基礎、發展與使用、架構、環境、資訊與決策支援系統、分析和人工智慧、預測性分析、指導性分析等等之應用、與案例研究等相關之知識。
2.培養學生於電腦化決策支援系統技術方法之應用與研究的基本能力。
1. Introduce students to understand the theory, technology, system, architecture and application of computerized decision-making support systems, including system concept foundation, development and use, architecture, environment, information and decision-making support systems, analysis and artificial intelligence, predictive analysis, guided analysis, etc., and related knowledge, and case studies.
2. Cultivate students' basic abilities in the application and research of technical methods of computerized decision-making support systems.
電腦化決策支援系統技術理論、系統架構講解與應用，包括系統概念基礎、發展與使用、架構與環境、管理資訊與決策支援系統、群體決策支援系統、專家系統之應用、資料驅使決策支援、案例為基推理、機器學習程序、案例研究等
Computerized decision support system technical management discussion, system architecture explanation and application, including system concept foundation, development and use, architecture and environment, management information and decision support system, group decision support system, expert system application, data drive decision support, case-based reasoning, machine learning procedures, case studies, etc.
1. R. Sharda, D. Delen, E. Turban, Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11th Edition, Pearson Education, England, 2020.
1. R. Sharda, D. Delen, E. Turban, Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11th Edition, Pearson Education, England, 2020.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Action |
20 | |
| 期末書面報告期末書面報告 Final period written report |
20 | |
| 期末口頭報告期末口頭報告 Final oral report |
30 | |
| 課堂表現課堂表現 Classroom performance |
15 | |
| 出席出席 Attend |
15 |
