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 351972 Industrial Networks 1 3.0 3 ★ Tsai Men-Shen GAT 24 1 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351972	Industrial Networks	1	3.0	3	★	Tsai Men-Shen	GAT	24	1

Course Plan：

Instructor Tsai Men-Shen　Office Hours

Email mstsai@ntut.edu.tw

Last Updated 2025-05-28 12:36:07

Course Objective This course presents analytic concepts in computer network analysis. It is designed for the beginning graduate students who are interesting in computer networks. Students should have a mathematical maturity typical of undergraduate curricula in science and engineering, including calculus and discrete mathematics, as well as a course in operating systems and a course in computer architecture. The teaching approach in this course emphasizes modeling, analysis and design principles used in modern computer networks, including the Internet of today. The subject material includes reference models, queuing systems, graph theory, routing algorithms and resource management systems. Case studies include Internet foundation protocols, such as IP and TCP, as well as Internet multicasting and differentiated service principles.

Course Schedule 1 Administrative/Introduction 2 Chap1: Introduction and background 3 Chap2: Physical layer 4 Chap2: Physical layer 5 Chap2: Physical layer 6 Chap3: Data link layer 7 Chap3: Data link layer 8 Chap3: Data link layer 9 Midterm Exam 10 Chap4: Medium access control 11 Chap4: Medium access control 12 Chap4: Medium access control 13 Chap4: Medium access control 14 Chap 5: Routing Algorithm 15 Chap 5: Routing Algorithm 16 Chap 5: Routing Algorithm 17 Final Project Presentation 18 Final Exam

Evaluation and grading policy 1. Midterm Report 20% 2. Midterm Exam. 20% 3. Final Project/Report 30% 4. Homework 20% 5. Attendance/Quiz 10%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Computer Networks, 4th Edition. Andrew S. Tanenbaum, Prentice Hall International Edition, 2003, ISBN 0-13-038488-7

The access to curricular consultation Friday 14:00-16:00 or by appointment.

Expanding teaching and resources

The course corresponds to the SDGs SDG3：良好健康和福祉（Good Health and Well-being）
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 ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Note
　

Instructor	Tsai Men-Shen　Office Hours
Email	mstsai@ntut.edu.tw
Last Updated	2025-05-28 12:36:07
Course Objective	This course presents analytic concepts in computer network analysis. It is designed for the beginning graduate students who are interesting in computer networks. Students should have a mathematical maturity typical of undergraduate curricula in science and engineering, including calculus and discrete mathematics, as well as a course in operating systems and a course in computer architecture. The teaching approach in this course emphasizes modeling, analysis and design principles used in modern computer networks, including the Internet of today. The subject material includes reference models, queuing systems, graph theory, routing algorithms and resource management systems. Case studies include Internet foundation protocols, such as IP and TCP, as well as Internet multicasting and differentiated service principles.
Course Schedule	1 Administrative/Introduction 2 Chap1: Introduction and background 3 Chap2: Physical layer 4 Chap2: Physical layer 5 Chap2: Physical layer 6 Chap3: Data link layer 7 Chap3: Data link layer 8 Chap3: Data link layer 9 Midterm Exam 10 Chap4: Medium access control 11 Chap4: Medium access control 12 Chap4: Medium access control 13 Chap4: Medium access control 14 Chap 5: Routing Algorithm 15 Chap 5: Routing Algorithm 16 Chap 5: Routing Algorithm 17 Final Project Presentation 18 Final Exam
Evaluation and grading policy	1. Midterm Report 20% 2. Midterm Exam. 20% 3. Final Project/Report 30% 4. Homework 20% 5. Attendance/Quiz 10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Computer Networks, 4th Edition. Andrew S. Tanenbaum, Prentice Hall International Edition, 2003, ISBN 0-13-038488-7
The access to curricular consultation	Friday 14:00-16:00 or by appointment.
Expanding teaching and resources
The course corresponds to the SDGs	SDG3：良好健康和福祉（Good Health and Well-being） 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	● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note