Home
高階經營管理專班
course information of 109 - 2 | 6086 Intelligent Technology and Business(智慧科技與企業管理)

6086 - 智慧科技與企業管理 Intelligent Technology and Business


教育目標 Course Target

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 industrial revolution brought about by the development of artificial intelligence (Artificial Intelligence) is in the ascendant, and artificial intelligence-based intelligent technology (Intelligent Technology) including the Internet of Things, big data analysis, blockchain or smart devices has penetrated into every business application. On the one hand, it has become the mainstream of today's business management. At this stage, smart technology is mainly used to assist business managers in decision-making, judgment and development in solving corporate problems. In addition to introducing the basic concepts and knowledge of business management and smart technology, this course also aims to cultivate students' abilities and attitudes in active exploration, teamwork and innovative thinking, apply smart technology to solve practical problems encountered in business management, and develop innovative solutions. The program is a course that combines theory and practice.


參考書目 Reference Books

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。

溫怡玲與陳昇瑋(2019),《人工智慧在台灣:產業轉型的契機與挑戰》,天下雜誌。

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。

Wang Fengkui (2019), "Why Your Ideas Can't Make Money: 11 Creative Realization Courses That Entrepreneurs/Marketers/R&D People/Planners/Managers Must Take", Folder Culture Publishing Co., Ltd.

Wen Yiling and Chen Shengwei (2019), "Artificial Intelligence in Taiwan: Opportunities and Challenges of Industrial Transformation", Tianxia Magazine.

Ye Weili (2020, Translated), "Compulsory Course in Deep Learning for Business: Analysis of Practical Cases of Artificial Intelligence, See how 35 Japanese companies at the forefront of the times flip their thinking and utilize AI", Japan Deep Learning Association (supervised) Nikkei xTREND , Facebook Press.


評分方式 Grading

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 Participation
10
期末考期末考
final exam
30
案例簡報案例簡報
Case briefing
20
專案簡報專案簡報
Project briefing
30
小組同儕互評小組同儕互評
Group peer review
10

授課大綱 Course Plan

Click here to open the course plan. Course Plan
交換生/外籍生選課登記 - 請點選下方按鈕加入登記清單,再等候任課教師審核。
Add this class to your wishlist by click the button below.
請先登入才能進行選課登記 Please login first


相似課程 Related Course

很抱歉,沒有符合條件的課程。 Sorry , no courses found.

Course Information

Description

學分 Credit:0-3
上課時間 Course Time:Saturday/5,6,7[M228]
授課教師 Teacher:王鳳奎
修課班級 Class:高階經管班1
選課備註 Memo:109級週末組必修課程。碩一:週末組、智慧科技組必修
授課大綱 Course Plan: Open

選課狀態 Attendance

There're now 52 person in the class.
目前選課人數為 52 人。

請先登入才能進行選課登記 Please login first