Signal Processing in Discrete Time
Course Code
ET3103
Number of Credits
3
Semester
Course Type
Related Courses
| No | Code | Course | Relation |
|---|---|---|---|
| 1 | ET3105 | Discrete Time Signal Processing | Equivalent |
| 2 | ET2103 | Continuous Time Signal Processing | Prerequisite |
| 3 | MA2074 | Engineering Mathematics IIA | Prerequisite |
Study Material
| Study Material | Depth |
|---|---|
| Introduction | Expert |
| Discrete-time signal and system | Expert |
| Discrete Time Fourier Transform | Expert |
| The z Transform | Explore |
| Sampling and Reconstruction | Explore |
| Explore | |
| Explore |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Ability to apply scientific and mathematical relationships (principles or laws) and input required for problems regarding Digital Communication Systems Principles, Signals and systems, Channel Coding Concepts |
| CPMK 2 | Ability to identify and formulate technical problems regarding Digital Communication System Principles, Signals and systems, Channel Coding Concepts |
| CPMK 3 | Ability to analyze and solve technical problems regarding Digital Communication System Principles, Signals and systems, Channel Coding Concepts |
| CPMK 4 | Ability to apply the use of modern engineering tools and integrate in engineering projects regarding the Principles of Digital Communication Systems, Signals and systems, Channel Coding Concepts |
Learning Method
- Lecture
Learning Modality
- Synchronous Offline Asynchronous Online Hybrid
Assessment Methods
- Quiz, Midtest, Final Test