Signals and Systems

Students will develop a strong foundation in continuous and discrete-time signals, linear time-invariant (LTI) systems, Fourier analysis, and Laplace transforms. The course emphasizes practical applications in areas such as communications, control, and signal processing, preparing students for advanced studies and careers in electronics engineering technology. Through theoretical concepts and problem-solving, students will learn to analyze, model, and design systems for various real-world challenges.

Course outline

Lectures, virtual labs, and graded assignments — completed in your browser.

01Introduction to Signals and Systemslecture

02Continuous-Time Signalslecture

03Continuous-Time Systemslecture

04Linear Time-Invariant (LTI) Systems and Convolutionlecture

05Fourier Series Representation of Periodic Signalslecture

06The Continuous-Time Fourier Transformlecture

07Properties of the Continuous-Time Fourier Transformlecture

08Midterm examassignment

09The Laplace Transformlecture

10System Analysis using the Laplace Transformlecture

11Discrete-Time Signals and Systemslecture

12The Discrete-Time Fourier Transform (DTFT)lecture

13The Z-Transformlecture

14Final projectassignment

Syllabus

**Course Objectives:**
*   Understand and classify continuous and discrete-time signals.
*   Analyze properties of linear time-invariant (LTI) systems.
*   Apply convolution for system analysis in time domain.
*   Utilize Fourier Series and Fourier Transforms for spectral analysis.
*   Implement Laplace Transform techniques for LTI system analysis.
*   Introduce Z-Transforms for discrete-time system analysis.
*   Solve practical problems related to signal processing and system design.

**Grading Breakdown:**
*   Homework Assignments: 30%
*   Quizzes: 20%
*   Midterm Exam: 25%
*   Final Project: 25%