人工智慧(Artificial Intelligence)的發展所帶來的產業革命方興未艾，而以人工智慧為本的智慧科技(Intelligent Technology)包含物聯網、大數據分析、區塊鏈或智慧裝置已深入到商業應用的每一層面，更躍昇為現今企業管理的主流，智慧科技在現階段主要是用來輔助企業管理者在解決企業問題的決策判斷和發展。
本課程除了介紹企業管理與智慧科技的基本觀念與知識，並要培養學生主動探索、團隊合作及創新思考的能力與態度，應用智慧科技以解決企業管理所遇到的實際問題，發展創新的解決方案，是一門理論與實務並具的課程。The industry revolution brought about by the development of artificial intelligence is in full swing, and Intelligent Technology, based on artificial intelligence, includes Internet of Things, large data analysis, block chains or smart devices, has been deeply involved in every business application. On the one hand, it is more popular as the mainstream of enterprise management today. Smart technology is mainly used in the current stage to help enterprise managers decide and develop in solving enterprise problems.
In addition to introducing the basic concepts and knowledge of enterprise management and smart technology, this course also cultivates students' ability and attitudes to actively explore, team cooperation and innovative thinking, and applies smart technology to solve the actual problems encountered in enterprise management and develop innovative solutions. A plan is a course that is both theoretical and practical.
1 王鳳奎(2019)，《為什麼你的點子賺不了錢：創業人╳行銷人╳研發人╳企劃人╳管理人都必修的11堂創意變現課》，資料夾文化出版事業有限公司。
2 張昌財, 黃廷合, 賴沅暉, 李沿儒, 梅國忠, 張盛鴻, 吳贊鐸, 李漢宗, 邱奕嘉(2019)，《科技管理》，全華圖書。
3 葉韋利(2020，譯)，《深度學習的商戰必修課：人工智慧實用案例解析，看35家走在時代尖端的日本企業如何翻轉思考活用AI》，日本深度學習協會（監修）日經xTREND，臉譜出版社。
1 Wang Fengkui (2019), "Why can't you make money with your own points: 11 creative changes courses that are required for entrepreneurs, marketing personnel, research and development personnel, enterprise planners, and managers", Database Culture Publishing Co., Ltd.
2 Zhang Changjin, Huang Tinghe, Zhao Yuanqing, Li Yanru, Mei Guozhong, Zhang Shengdong, Wu Rongli, Li Hanzong, Qiu Yijia (2019), "Science and Technology Management", a complete book of Chinese.
3 Ye Weili (2020, translation), "Compulsory courses for business in-depth learning: Analysis of artificial intelligence practical cases, seeing how 35 Japanese companies at the forefront of the times translate and think about using AI", Japan In-depth Learning Association (Supervised) Japanese xTREND, Face Publishing House.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 出席與課堂參與出席與課堂參與 Attendance and class meetings |
10 | |
| 期末考期末考 Final exam |
30 | |
| 案例簡報案例簡報 Case Summary |
20 | |
| 專案簡報專案簡報 Project Summary |
30 | |
| 小組同儕互評小組同儕互評 The group reviewed each other |
10 |
