Course syllabus
010113334-60 คณิตศาสตร์วิศวกรรมสื่อสาร (Communication Engineering Mathematics)
Course Syllabus
Data entry : Assoc.Prof. Dr.Kraisorn Chaisaowong
1. Course number and name
010113334-60 คณิตศาสตร์วิศวกรรมสื่อสาร (Communication Engineering Mathematics)
2. Credits and contact hours
3(3-0-6)
3. Instructor’s or course coordinator’s name
Assoc.Prof. Dr.Kraisorn Chaisaowong
4. Text book, title, author, and year
- Kraisorn Chaisaowong, Mathematics for Communication Engineering: Signals, Systems and Stochastic Processes, ศูนย์ผลิตตำรา มจพ., 2565
5. Specific course information
- brief description of the content of the course (catalog description)
- Probability and random variables: random processes, means, moments, numerical characteristics of random variables, various distributions of random variables. - Stochastic processes: correlation function, power band density function, characteristic function. - Statistical models of various communication channels. - Software to process various models in telecommunications. - prerequisites or co-requisites
010113331-60 Communication Engineering Systems - indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program
Required :
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 Identify and formulate probability and random variables: random processes, means, moments, numerical characteristics of random variables, as well as solve various distributions of random variables.
- CLO2 Identify and formulate stochastic processes: correlation function, power band density function, characteristic function.
- CLO3 Identify and formulate statistical models of various communication channels.
- CLO4 Applying software to process various models in telecommunications.
- 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 Identify and formulate probability and random variables: random processes, means, moments, numerical characteristics of random variables, as well as solve various distributions of random variables.
- CLO2 Identify and formulate stochastic processes: correlation function, power band density function, characteristic function.
- CLO3 Identify and formulate statistical models of various communication channels.
- CLO4 Applying software to process various models in telecommunications.
7. Brief list of topics to be covered
- - Probability and random variables: random processes, means, moments, numerical characteristics of random variables, various distributions of random variables. - Stochastic processes: correlation function, power band density function, characteristic function. - Statistical models of various communication channels. - Software to process various models in telecommunications.
8. Course Assessment
| Course assessment | Weight score (%) | Assessment tools | Date |
|---|---|---|---|
| Assignment | 10 | assignment | |
| Quiz | 40 | quiz | |
| Final exam | 50 | final examination |
The grading table
| Grading | Rank |
|---|---|
| >= 70% | A |
| 65% - 69.99% | B+ |
| 60% - 64.99% | B |
| 55% - 59.99% | C+ |
| 50% - 54.99% | C |
| 45% - 49.99% | D+ |
| 40% - 44.99% | D |
| 0% - 39.99% | F |
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