| Year | Semester | Required Elective | Course ID | Course Name | Credits | Hours | Level | Note |
|---|---|---|---|---|---|---|---|---|
| 學年 | 學期 | 類別 | 課程編碼 | 課程名稱 | 學分 | 時數 | 階段別 | 備註 |
| 1 | 1 | ▲ | 3705035 | Journal Study and Discussion 書報討論 | 1.0 | 2 | ||
| 1 | 1 | ▲ | 3707001 | Thesis 論文 | 3.0 | 3 | 1 / 2 | |
| 1 | 1 | ★ | 1400510 | Advanced Practical English 進階應用英文 | 0.0 | 2 | ||
| 1 | 1 | ★ | 3705033 | Graduate On-Site Research 校外實務研究 | 3.0 | 18 | ||
| 1 | 1 | ★ | 3705036 | Industrial Engineering and Management Workshop (I) 工業工程與管理專題研討(一) | 1.0 | 2 | ||
| 1 | 1 | ★ | 3706025 | Experimental Designs 實驗設計 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3706029 | Research Methodology 研究方法 | 3.0 | 3 | ■□ | |
| 1 | 1 | ★ | 3706040 | Industrial Robot 工業機器人 | 3.0 | 3 | ◎ | |
| 1 | 1 | ★ | 3706078 | Scheduling Theory 排程理論 | 3.0 | 3 | ◎ | |
| 1 | 1 | ★ | 3706090 | Internet entrepreneurial management 網路創業與管理 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3714011 | Cognitive Human Factors 認知人因工程 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3715003 | Taguchi Quality Engineering 田口品質工程 | 3.0 | 3 | ◎ | |
| 1 | 1 | ★ | 3715011 | OPERATIONS MANAGEMENT 運營管理 | 3.0 | 3 | ◎ | |
| 1 | 1 | ★ | 3725009 | Practices and applications of TRIZ innovative thinking 創新思維執行力實務應用 | 3.0 | 3 | ◎ | |
| 1 | 1 | ★ | 3725012 | Introduction to IoT 物聯網應用概論 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3725013 | VR/AR applications in workspace and its design VR與AR於工作環境設計之應用 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3725014 | User Experience Data Collection and Analysis 使用者經驗資料收集與分析 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3725015 | E-commerce management 電商經營實務 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3735002 | Supply Chain Coordination Management 供應鏈協同管理 | 3.0 | 3 | ◎□ | |
| 1 | 1 | ★ | 3735005 | Scientific learning and Applications 科學學習之應用 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3735006 | Advanced Statistics with Applications 高等統計應用 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3735007 | Advanced Engineering Economics 高等工程經濟 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3735008 | Advanced Statistics 高等統計學 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3735009 | Data Pattern Recognition and Classification 數據模式辨識和分類 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3736001 | Industry Analysis 產業分析 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3736017 | E-Business Management 企業電子化管理 | 3.0 | 3 | □ | |
| 1 | 1 | ★ | 3736029 | Project Investment Analysis 專案投資分析 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3736034 | Numerical Methods 數值方法 | 3.0 | 3 | ■□ | |
| 1 | 1 | ★ | 3736035 | Applications of Artificial Neural Networks 高等類神經網路應用 | 3.0 | 3 | ■ | |
| 1 | 1 | ★ | 3737002 | Advanced Operations Research 高等作業研究 | 3.0 | 3 | ■ | |
| 1 | 2 | ▲ | 3705034 | Business Ethics 企業倫理 | 1.0 | 2 | ||
| 1 | 2 | ▲ | 3707001 | Thesis 論文 | 3.0 | 3 | 2 / 2 | |
| 1 | 2 | ★ | 3705009 | Machine Learning 機器學習 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3705014 | Human-Computer Interaction 人機互動 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3705037 | Industrial Engineering and Management Workshop (Ⅱ) 工業工程與管理專題研討(二) | 1.0 | 2 | ||
| 1 | 2 | ★ | 3706024 | Artificial Intelligence 人工智慧 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3706034 | Logistics Management 物流管理 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3706041 | The Principles and Applications of Machine Vision 機器視覺原理與應用 | 3.0 | 3 | □◎ | |
| 1 | 2 | ★ | 3706082 | E-Business 電子商務實務 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3706084 | Inventory Theory 存貨理論 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3706085 | Robotic Integrated Manufacturing 機器人整合製造 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3706087 | Supply Chain and Logistic Management 供應鏈與物流管理 | 3.0 | 3 | ◎□ | |
| 1 | 2 | ★ | 3706098 | Advanced Applied English 進階應用英文 | 0.0 | 2 | ||
| 1 | 2 | ★ | 3707009 | Optimization Methodology 最佳化方法 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3715001 | Time Series Analysis and Process Adjustment 時間序列分析與製程控制 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3715002 | Innovative Product R&D Management 創新研發管理 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3715007 | The applications of TRIZ creative method 萃思創新方法應用 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3715008 | Fab Operation Management and Advanced Manufacturing Technology 半導體廠營運管理及先進製造技術 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3715009 | Reliability Engineering 可靠度工程 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3715012 | AR/VR Practice of Manufacturing and Workspace Design 製造與工作環境之AR/VR實務 | 3.0 | 3 | ◎ | |
| 1 | 2 | ★ | 3723065 | Industry 4.0 Information System 工業4.0資訊系統 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3725001 | automated inspection system 自動化檢測系統 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3725004 | Internet Marketing 網路行銷實務 | 3.0 | 3 | □◎ | |
| 1 | 2 | ★ | 3725010 | Psychophysics and Signal Detection Theory 心理物理學與信號偵測理論 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3725016 | Electronic Commerce；EC 電子商務 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3725017 | Practice of Intelligent Manufacturing Execution System 智慧製造執行系統演練 | 3.0 | 3 | □ | |
| 1 | 2 | ★ | 3735003 | Multi Objectives Decision Making 多目標決策分析 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3735004 | Artificial Intelligence and Machine Learning with Applications 人工智慧與機器學習應用 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3735010 | Advanced Regression Analysis 高等迴歸分析 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3736018 | Project Management 專案管理 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3736036 | Seminar on Learning productivity 學習生產力研討 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3736038 | Network Models and Integer Programming 網路模式與整數規劃 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3736041 | Business Research Methods 企業研究方法 | 3.0 | 3 | ■ | |
| 1 | 2 | ★ | 3737003 | Quality Management 高等品質管理 | 3.0 | 3 | ■ |
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1. Minimum number of credits for the master degree: 35 credits 2. Required courses: 8 credits, including 6 credits from Master Thesis and 2 credits from Journal Study and Discussion; elective courses: 27 credits. 3. The master students can take at most 12 credits in other departments and institutes in National Taipei University of Technology or other universities. 4. The master students who did not obtain the bachelor degree from Industrial Engineering or related programs must take two of five courses: Production Planning and Control, Quality Management, Operations Research, Work Study, and Human Factors. The final scores of the two selected courses must exceed 70. 5. The courses are divided into three professional categories: Production Management and Manufacturing Services, E-Industry and the Application of Information, and Management Science and Decisions. The master students must take at least 4 courses from one of the three categories. Graduate On-Site Research belongs to all of the three categories. 6. The master students who enrolled in and after the academic year of 2009 must satisfy the degree requirement in English capability. The detailed information of the requirement can be found on the website of the department. 7. Each graduate student shall pass the minimum English proficiency requirement(s) for graduation, and shall all meet the criteria of the English proficiency tests set by the department (if any). Students may refer to the department websites for their English proficiency criteria set by each department. 8.The above table of courses is applied to the master students enrolled in the academic year of 2020. |
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1.最低畢業學分：35學分。 2.必修8學分：含碩士論文6學分，書報討論1學分，企業倫理1學分；選修27學分。 3.可跨所選修12學分。 4.非工業工程相關科系畢業生，需於大學部選讀生產管理、品質管理、作業研究(一)或作業研究(二)、工作研究或人因工程、設施規劃或工廠佈置等課程中選兩門，且每門皆達70分(含）以上。 5.課程專業學域分類：◎生產管理與製造服務□產業電子化與資訊應用；■管理科學與決策，須於所屬學域中選修至少4門課程。校外實務研究可屬任一學域。 6.碩士班98學年度起入學學生訂有英文畢業門檻，詳細資訊如系所網頁所示。 7.研究生畢業須符合校訂英語能力畢業門檻標準〈系所如另訂更高之英語能力畢業門檻標準，則須符合系所規定〉，英語能力畢業門檻相關規定請至系(所)網頁查詢。 8.本課程科目表適用109學年度入學新生。 |