Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 349039 Introduction to Computer and Artificial Intelligence 1 3.0 3 ▲ Yibeltal Chanie Manie 4EOE1 56 0 計中電腦教室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	349039	Introduction to Computer and Artificial Intelligence	1	3.0	3	▲	Yibeltal Chanie Manie	4EOE1	56	0	計中電腦教室

Course Plan：

Instructor Yibeltal Chanie Manie　Office Hours

Email yibeltal_chanie@mail.ntut.edu.tw

Last Updated 2025-05-27 11:46:50

Course Objective 本科目旨在介紹計算機系統與人工智慧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 and artificial intelligence. 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 1-2.Introduction to computer systems 3-4.Data representation, number systems, and logic 5-6. Basic Programming Concepts 7-8. Introduction to Data Structures and algorithms 9-10. Software engineering and system development tools 11. File and database systems 12-13. Data communication and computer networks 14-15. Foundations of Artificial Intelligence 16-17. Emerging techniques 18. Final Project Presentations

Evaluation and grading policy Quizzes & Assignments : 40 % Labs / Mini Projects: 20 % Attendance : 10 % Final Project : 30 %

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Computer Science: An Overview- J. Glenn Brookshear and Dennis Brylow 2. "Python Programming: An Introduction to Computer Science- John Zelle 3. Artificial Intelligence: A Guide for Thinking Humans" – Melanie Mitchell

The access to curricular consultation email: yibeltal_chanie@mail.ntut.edu.tw

Expanding teaching and resources

The course corresponds to the SDGs SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
　

Instructor	Yibeltal Chanie Manie　Office Hours
Email	yibeltal_chanie@mail.ntut.edu.tw
Last Updated	2025-05-27 11:46:50
Course Objective	本科目旨在介紹計算機系統與人工智慧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 and artificial intelligence. 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	1-2.Introduction to computer systems 3-4.Data representation, number systems, and logic 5-6. Basic Programming Concepts 7-8. Introduction to Data Structures and algorithms 9-10. Software engineering and system development tools 11. File and database systems 12-13. Data communication and computer networks 14-15. Foundations of Artificial Intelligence 16-17. Emerging techniques 18. Final Project Presentations
Evaluation and grading policy	Quizzes & Assignments : 40 % Labs / Mini Projects: 20 % Attendance : 10 % Final Project : 30 %
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Computer Science: An Overview- J. Glenn Brookshear and Dennis Brylow 2. "Python Programming: An Introduction to Computer Science- John Zelle 3. Artificial Intelligence: A Guide for Thinking Humans" – Melanie Mitchell
The access to curricular consultation	email: yibeltal_chanie@mail.ntut.edu.tw
Expanding teaching and resources
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note