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
- Signals and Systems Using MATLAB (4th Edition 2024) - https://www.sciencedirect.com/book/9780443157097/signals-and-systems-using- matlab
- 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
- PDF Handouts prepared by the instructor
5. Specific course information
- 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 - prerequisites or co-requisites
040203112-64 Engineering Mathematics II - 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 give correct definitions of technical terms or explanations related to mathematical functions, signals and systems and their properties in engineering discipline;
- 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;
- CLO3 model dynamic systems mathematically and solve linear constant-coefficient ordinary differential equations (ODEs) and difference equations analytically;
- 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;
- CLO5 utilize modern computational tools such as MATLAB and Python to perform mathematical operations on signals and LTI/LSI systems and visualize results graphically;
- CLO6 design and implement simple hardware- or software-based signal processing applications.
- 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 |
หมายเหตุ - ลำดับเนื้อหาจะมีการปรับเปลี่ยนตามความเหมาะสม