Course syllabus
010153905-63 เครือข่ายคอมพิวเตอร์ (Computer Networks)
Course Syllabus
Data entry : Asst.Prof. Dr.Tapanee Treeratanaporn
1. Course number and name
010153905-63 เครือข่ายคอมพิวเตอร์ (Computer Networks)
2. Credits and contact hours
3(3-0-6)
3. Instructor’s or course coordinator’s name
Asst.Prof. Dr.Tapanee Treeratanaporn
4. Text book, title, author, and year
- a. Andrew S. Tanenbaum, (2013), Computer Network, 4th Edition, Pearson.
- b. Doughlas E. Comer, (2014), Computer Networks and Internet, 6th Edition, Pearson.
- c. Robert J. Woz, (2017), Data Analytics for Beginners: A Beginner's Guide to Learn and Master Data Analytics. CreateSpace Publishing.
5. Specific course information
- brief description of the content of the course (catalog description)
Computer networking components, various network architectures, communication protocols, standards of wired and wireless technologies in computer networks, routing in data networks, congestion control, network design specifications, application of information networks for data, voice and video communications, data security, performance analysis of computer networks, big data analytics - prerequisites or co-requisites
- indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
Elective :
6. Specific goals for the course
- specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
- CLO1 Students understand the concept of computer network and how it works and recognize the basic terminology such as data and various signals. • Students can demonstrate basic knowledge and understanding the concept of OSI model, LAN, MAN, WAN, and VPN. • Students understand and set up IP addressing, routing, and network security.
- CLO2 • Students gain a board perspective about data analytics in engineering industry.
- CLO3 • Students understand and can set up their own network appropriately.
- explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.
ABET Student Outcome (SO) Listed in Criterion 3 Course learning outcome (CLO) SO1 an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics. - CLO1 Students understand the concept of computer network and how it works and recognize the basic terminology such as data and various signals. • Students can demonstrate basic knowledge and understanding the concept of OSI model, LAN, MAN, WAN, and VPN. • Students understand and set up IP addressing, routing, and network security.
SO3 an ability to communicate effectively with a range of audiences. - CLO2 • Students gain a board perspective about data analytics in engineering industry.
SO4 an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. - CLO3 • Students understand and can set up their own network appropriately.
7. Brief list of topics to be covered
| Week | Topic | Details | Activities |
|---|---|---|---|
| Week1 | Introduction to Computer Network | ||
| Week2 | Data and Signal | ||
| Week3 | Analog and Digital Signal Transmission | ||
| Week4 | OSI (Open Systems Interconnection) Model | ||
| Week5 | Media in Computer Networks | ||
| Week6 | LAN, WLAN, WAN Technology | ||
| Week7 | IP Address and Routing | ||
| Week8 | VPN (Virtual Private Network) | ||
| Week9 | Internet Application | ||
| Week10 | Network Security | ||
| Week11 | Big Data and Data Science | ||
| Week12 | Data Analytics |
8. Course Assessment
| Course assessment | Weight score (%) | Assessment tools | Date |
|---|---|---|---|
| Formative and Summative Assessment | 100 | assignment, group discussion, midterm examination, final examination | 22 Jun 2026 - 01 Nov 2026 |
The grading table
| Grading | Rank |
|---|---|
| >= 80% | A |
| 75% - 79.99% | B+ |
| 70% - 74.99% | B |
| 65% - 69.99% | C+ |
| 60% - 64.99% | C |
| 55% - 59.99% | D+ |
| 50% - 54.99% | D |
| 0% - 49.99% | F |
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