Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	363189	Introduction to Computer Science	1	3.0	3	▲	Chen, Yu-Chi	4EECS1	0	0	必修。

Course Plan：

Instructor	Chen, Yu-Chi　Office Hours
Email	wycchen@ntut.edu.tw
Last Updated	2026-06-03 11:32:33
Course Objective	本科目旨在介紹計算機系統之基礎觀念以及應用。主要內容包括：1.計算機系統簡介 2 .資料的表示法、數字系統、邏輯3.周邊裝置及儲存體 4. 程式語言與程式設計5. 軟體工程與系統開發工具6.資料結構與演算法 7.作業系統 8.檔案與資料庫 9.資料通訊與計算機網路10.人工智慧 11. 新興技術介紹 This introductory course covers the fundamentals and applications of computers. The major topics covered in this course are: 1.Introduction to computer systems 2.Data representation, number systems, and logic 3.Peripherals and storage 4. Programming languages and programming 5. Data structures and algorithms 6. Software engineering and system development tools 7. Operating systems 8.File and database systems 9. Data communication and computer networks 10. Artificial intelligence 11. Emerging techniques
Course Schedule	1. Administration announcement and intro 2. Binary values and number systems 3. Binary values and number systems 3. Data representation 4. Data representation 5. Computing components 6. Computing components 7. MT1 8. Computing components 9. Low-level programming languages 10. Operating Systems 11. Operating Systems 11. File systems 12. MT2 13. Computer network & Security 14. Computer network & Security 15. AI 16. Final exam 彈性學習 17. Advanced topics 18. Advanced topics
Evaluation and grading policy	HW & quizzes & presentation 5% MT1 15% MT2 20% Final 25% Class participation (by writing lecture notes) 5%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Compter Science : Illuminated, Dale & Lewis, 5th/6th ed.
The access to curricular consultation	Email: wycchen at ntut.edu.tw
Expanding teaching and resources	● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.
The course corresponds to the SDGs	無（None） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG11：永續城市與社區（Sustainable Cities and Communities）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	彈性學習 一、類別 參與課程相關作業 二、內容 (1)第 17 週: 觀看各組報告並給予回饋(提問討論)並評分。 (2)第 18 週: 針對17週回饋做補充說明報告。 三、時數 總共 6 小時。 四、學習成果 第16週課程結束前各組須繳交第17週之報告錄影; 第18週上課前需繳交回覆簡報。 五、評量比例 17-18 週課堂回饋表現:5%