Course syllabus

010113330-65 ปฏิบัติการระบบฝังตัวสำหรับโทรคมนาคม (Embedded System Laboratory for Telecommunications)

Course Syllabus

Data entry : Dr.Pruk Sasithong
1. Course number and name

010113330-65 ปฏิบัติการระบบฝังตัวสำหรับโทรคมนาคม (Embedded System Laboratory for Telecommunications)

2. Credits and contact hours

1(0-3-1)

3. Instructor’s or course coordinator’s name

Dr.Pruk Sasithong

4. Text book, title, author, and year

5. Specific course information

  1. brief description of the content of the course (catalog description)
    การปฏิบัติการออกแบบระบบฝังตัว เพื่อการประยุกต์ใช้ในงานวิศวกรรมโทรคมนาคม
  2. prerequisites or co-requisites
    010113027-65 Microprocessors and Embedded Computer Systems
  3. indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
    Required :

6. Specific goals for the course

  1. specific outcomes of instruction (e.g. The student will be able to explain the significance of current research about a particular topic.)
    1. CLO1 Design and develop sensor systems capable of acquiring data and receiving commands through telecommunication networks.
    2. CLO2 Develop data communication systems for the Internet of Things (IoT) by applying TCP/IP networking and standard communication protocols.
    3. CLO3 Design data storage systems and develop real-time data visualization systems for monitoring and surveillance through telecommunication networks.
    4. CLO4 Design and develop edge gateway systems using single-board computers integrated with artificial intelligence and automation technologies to analyze data and support decision-making.
    5. CLO5 Integrate knowledge and skills to develop a team-based Internet of Things (IoT) and Artificial Intelligence (AI) project for telecommunication applications, and effectively present and demonstrate the project.
  2. 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 Design and develop sensor systems capable of acquiring data and receiving commands through telecommunication networks.
    • CLO2 Develop data communication systems for the Internet of Things (IoT) by applying TCP/IP networking and standard communication protocols.
    • CLO3 Design data storage systems and develop real-time data visualization systems for monitoring and surveillance through telecommunication networks.
    • CLO4 Design and develop edge gateway systems using single-board computers integrated with artificial intelligence and automation technologies to analyze data and support decision-making.
    • CLO5 Integrate knowledge and skills to develop a team-based Internet of Things (IoT) and Artificial Intelligence (AI) project for telecommunication applications, and effectively present and demonstrate the project.
    SO3 an ability to communicate effectively with a range of audiences.
    • CLO5 Integrate knowledge and skills to develop a team-based Internet of Things (IoT) and Artificial Intelligence (AI) project for telecommunication applications, and effectively present and demonstrate the project.
    SO5 an ability to function effectively on a team whose members together provide leadership, create a collaborative environment, establish goals, plan tasks, and meet objectives.
    • CLO5 Integrate knowledge and skills to develop a team-based Internet of Things (IoT) and Artificial Intelligence (AI) project for telecommunication applications, and effectively present and demonstrate the project.
    SO6 an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
    • CLO1 Design and develop sensor systems capable of acquiring data and receiving commands through telecommunication networks.
    • CLO2 Develop data communication systems for the Internet of Things (IoT) by applying TCP/IP networking and standard communication protocols.
    • CLO3 Design data storage systems and develop real-time data visualization systems for monitoring and surveillance through telecommunication networks.
    • CLO4 Design and develop edge gateway systems using single-board computers integrated with artificial intelligence and automation technologies to analyze data and support decision-making.
    • CLO5 Integrate knowledge and skills to develop a team-based Internet of Things (IoT) and Artificial Intelligence (AI) project for telecommunication applications, and effectively present and demonstrate the project.

7. Brief list of topics to be covered
  • Sensor nodes and embedded systems for telecommunications
  • TCP/IP networking and Internet of Things (IoT) communication
  • Data acquisition, storage, and database systems
  • Real-time data visualization and monitoring dashboards
  • Single Board Computer as an edge gateway
  • Edge computing and edge artificial intelligence
  • Workflow automation and event-driven systems
  • AIoT system integration
8. Course Assessment
Course assessment Weight score (%) Assessment tools Date
Laboratory Report 50 Lab Report 22 Jun 2026 - 16 Oct 2026
Lab Attendance and Participation 10 Attendance and Participation 22 Jun 2026 - 16 Oct 2026
Mini-Project 40 Mini-Project Report, Presentation and Demo 21 Sep 2026 - 30 Oct 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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