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

  1. Kraisorn Chaisaowong, Mathematics for Communication Engineering: Signals, Systems and Stochastic Processes, ศูนย์ผลิตตำรา มจพ., 2565

5. Specific course information

  1. 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.
  2. prerequisites or co-requisites
    010113331-60 Communication Engineering 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 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.
    2. CLO2 Identify and formulate stochastic processes: correlation function, power band density function, characteristic function.
    3. CLO3 Identify and formulate statistical models of various communication channels.
    4. CLO4 Applying software to process various models in telecommunications.
  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 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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