Course syllabus

010123106-64 สัญญาณและระบบเบื้องต้น (Introduction to Signals and Systems)

Course Syllabus

Data entry : Dr.Rawat Siripokarpirom
1. Course number and name

010123106-64 สัญญาณและระบบเบื้องต้น (Introduction to Signals and Systems)

2. Credits and contact hours

3(3-0-6)

3. Instructor’s or course coordinator’s name

Dr.Rawat Siripokarpirom

4. Text book, title, author, and year

  1. Signals and Systems Using MATLAB (4th Edition 2024) - https://www.sciencedirect.com/book/9780443157097/signals-and-systems-using- matlab
  2. Circuits, Signals, and Systems for Bioengineers (4th Edition, 2024) - A MATLAB-Based Introduction - https://www.sciencedirect.com/book/9780443158865/circuits-signals-and- systems-for-bioengineers
  3. PDF Handouts prepared by the instructor

5. Specific course information

  1. brief description of the content of the course (catalog description)
    Continuous-Time and Discrete-Time Signals and Systems; Linear-Time-Invariant (LTI) Systems; Continuous-Time and Discrete-Time Convolution; Fourier Series; Continuous-Time and Discrete-Time Fourier Transform and Inverse Fourier Transform; Laplace Transform and Inverse Laplace Transform; Simulation
  2. prerequisites or co-requisites
    040203112-64 Engineering Mathematics II
  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 give correct definitions of technical terms or explanations related to mathematical functions, signals and systems and their properties in engineering discipline;
    2. CLO2 determine the impulse response, transfer function, and system response of a linear time-invariant (LTI) or linear shift-invariant (LSI) system; compute the convolution of continuous-time and discrete-time signals;
    3. CLO3 model dynamic systems mathematically and solve linear constant-coefficient ordinary differential equations (ODEs) and difference equations analytically;
    4. CLO4 determine the forward and inverse transforms of signals and apply them to the analysis of continuous-time and discrete-time signals and systems; use transform techniques to compute the convolution of continuous-time and discrete-time signals;
    5. CLO5 utilize modern computational tools such as MATLAB and Python to perform mathematical operations on signals and LTI/LSI systems and visualize results graphically;
    6. CLO6 design and implement simple hardware- or software-based signal processing applications.
  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)
    PO2 : การวิเคราะห์ปัญหาทางวิศวกรรม สามารถระบุปัญหา สืบค้นทางเอกสาร สร้างแบบจำลองรวมตั้งสมการความสัมพันธ์ระหว่างตัวแปรต่าง ๆ เพื่อหาคำตอบ และแก้ไขปัญหาทางวิศวกรรมที่ซับซ้อน จนได้ข้อสรุปเบื้องต้น โดยใช้หลักการและเครื่องมือวิเคราะห์ทางด้านคณิตศาสตร์ วิทยาศาสตร์ และทางด้านวิศวกรรมศาสตร์ ทั้งนี้ ให้คำนึงถึงการพัฒนาที่ยั่งยืนในทุกองค์ประกอบ
    • CLO4 determine the forward and inverse transforms of signals and apply them to the analysis of continuous-time and discrete-time signals and systems; use transform techniques to compute the convolution of continuous-time and discrete-time signals;

7. Brief list of topics to be covered
  • Basic concepts of signals; mathematical representations of signals
  • Properties of signals and systems and their classifications
  • Introduction to mathematical software packages (MATLAB, Python)
  • Manipulation of mathematical functions representing time-varying signals and sequences
  • Convolution integrals of two time-varying signals or sequences
  • Methods for solving linear ODEs with constant-coefficients
  • Applications of mathematical transforms to circuit analysis problems
  • The Laplace transform
  • The z transform
  • Fourier Series
  • The Continuous-Time Fourier transform; The Discrete-Time Fourier transforms and FFT
  • Digital Signal Processing (DSP) applications
  • Mini-project presentation
8. Course Assessment
Course assessment Weight score (%) Assessment tools Date
Midterm 30 midterm examination
Final Exam 40 final examination
Practical Assignment 10 assignment
Miniproject 20 others

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