Diploma

Signals and Systems

At the end of this course, the student should be able to: 1. Understand and apply the concepts about linear time-invariant (LTI) systems understand and apply Fourier Series representation of periodic continuous-time signals understand and apply Fourier Transform representation of periodic and aperiodic continuous-time signals. 4. Apply Laplace transforms to analyze LTI Systems

Code BSEE2101

Credits 4 Credits

Type Course

Prerequisites None

Core Competencies

What You'll Learn

At the end of this course, the student should be able to: 1. Understand and apply the concepts about linear time-invariant (LTI) systems
Understand and apply Fourier Series representation of periodic continuous-time signals
Understand and apply Fourier Transform representation of periodic and aperiodic continuous-time signals. 4. Apply Laplace transforms to analyze LTI Systems

12-Week Roadmap

Course Structure & Syllabus

For details of standard term assessment timelines and exam structures, visit our Academics page.

WEEK 1

Introduction to signals --- continuous-time, discrete-time, Analog, Digital, Signal representation and analysis, Manipulation of signals (Time shifting and scaling)

WEEK 2

Adding and subtracting signals, complex-valued signals, phasors

WEEK 3

Even and Odd symmetry, Orthogonal signals, even-odd signals, conjugate symmetry, periodicity, manipulation of periodic signals, Energy and Power of signals

WEEK 4

Dirac delta signal, energy signal, power signal, time scaling of energy and power signals

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