選單
智慧製造工程系主要在培育具備「機械設計製造」、「智慧機電」與「AI技術應用」跨域實作技術之智慧製造專業人才。同時依據教學目標制定本系核心能力：
除配合校及院核心能力而規畫有共同必修及院訂專業必修外，配合系教學目標規劃系課程，依據教育目標及核心能力，分別針對「基礎扎根課程」與「特色專長課程」及「整合實作課程」三部分來說明：
課程著重在學生相關基礎能力之訓練，主要課程有著重學相關基礎能力，主要課程有靜力學、動力學、熱力學、材料力學、熱傳學、流體力學、工程圖學、微積分、工程數學、工程材料、機械製造、機械設計、程式語言、人工智慧概論、電子學與實習、工廠實習一、工廠實習二等基礎科目。
著重智慧製造專業技術能力培養，主要課程有電腦輔助機械製圖、電腦立體製圖、電腦輔助設計、電腦輔助製造、數控工具機與實習、電腦輔助工程分析、液氣壓學與實習、逆向工程與快速原型、自動控制與實習、機電整合與實習、可程式控制與實習、單晶片實習、感測與量測技術、GPT演算、機器學習、深度學習、機器人與實習、人機界面設計、邊緣計算、物聯網技術、雲端技術與應用、巨量資料分析、資料探勘、電腦整合製造等科目。
提升學生跨域整合實作能力，與產業界接軌達到提高學生就業力之目標，主要課程有智慧製造專題一、智慧製造專題二、學期校外實習一、學期校外實習二等科目。
Curriculum Planning
Educational Objectives
The Department of Smart Manufacturing Engineering focuses on cultivating professionals with cross-disciplinary practical skills in mechanical design and manufacturing, smart electromechanics, and AI technology applications. In alignment with the educational objectives, the department has established the following core competencies:
Curriculum Structure and Development
In addition to aligning with the school and college core competencies by offering common required courses and college-designated professional required courses, the department has designed its curriculum to support its educational objectives. Based on the educational goals and core competencies, the curriculum is structured into three main sections: Foundational Rooting Courses, Specialized Feature Courses, and Integrated Practical Courses, which are explained as follows:
1. Fundamental Core Courses:
The curriculum focuses on training students in fundamental competencies relevant to the field. Key courses include Statics, Dynamics, Thermodynamics, Mechanics of Materials, Heat Transfer, Fluid Mechanics, Engineering Graphics, Calculus, Engineering Mathematics, Engineering Materials, Mechanical Manufacturing, Mechanical Design, Programming Languages, Introduction to Artificial Intelligence, Electronics and Laboratory, Machine Shop Practice I, and Machine Shop Practice II.
2. Professional Courses:
The curriculum emphasizes the development of professional technical skills in smart manufacturing. Key courses include Computer-Aided Mechanical Drafting, Computer 3D Modeling, Computer-Aided Design, Computer-Aided Manufacturing, CNC Machine Tools and Practice, Computer-Aided Engineering Analysis, Hydraulics and Pneumatics with Practice, Reverse Engineering and Rapid Prototyping, Automatic Control with Practice, Mechatronics Integration with Practice, Programmable Logic Control with Practice, Microcontroller Practice, Sensing and Measurement Technology, GPT Algorithms, Machine Learning, Deep Learning, Robotics with Practice, Human-Machine Interface Design, Edge Computing, Internet of Things Technology, Cloud Technology and Applications, Big Data Analysis, Data Mining, and Computer-Integrated Manufacturing.
3. Integrated Practical Courses:
To enhance cross-disciplinary integration and practical implementation skills, key courses include Smart Manufacturing Project I, Smart Manufacturing Project II, Off-Campus Internship I, and Off-Campus Internship II.