NAME OF COURSE/MODULE: DIGITAL SIGNAL PROCESSING
COURSE CODE: KET4843
NAME(S) OF ACADEMIC STAFF: Dr. M. Norazizi Sham Mohd Sayuti
RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME: This course introduces students to the concept of signal processing in discrete time domain. The knowledge gained here can be applied in other subjects especially for the final year degree project.
SEMESTER AND YEAR OFFERED: SEM 6 / YEAR 3
TOTAL STUDENT LEARNING TIME (SLT) FACE TO FACE TOTAL GUIDED AND INDEPENDENT LEARNING
L = Lecture

T = Tutorial

P = Practical

O= Others

L

42

T

 

3

P

 

9

O

0

 

Guided: 54 hours

Independent Learning: 66 hours

Total: 120 hours

CREDIT VALUE: 3
PREREQUISITE (IF ANY): NONE
OBJECTIVES: 1.     Understand the concept in digital signal processing.

2.     Apply the knowledge towards simple design.

LEARNING OUTCOMES (LO): Upon successful completion of this course, students should be able to:

CLO1: Analyze the problems by breaking down information into parts and making inferences to support the generalizations (C4 – PO3)

CLO2: Follow the procedures introduced in this course to solve the problems in digital signal processing (P3)

CLO3: Explain some of the concepts, principles and theories of digital signal processing (A2)

TRANSFERABLE SKILLS: Students should be able to develop problem solving skills through the process of lectures and tutorials.
 

TEACHING-LEARNING AND ASSESSMENT STRATEGY:

Teaching-learning strategy:

The course will be taught through a combination of formal lectures, assignments, group work, blended learning using authentic materials, informal activities and various textbooks.

Assessment strategy:

i.      Formative

ii.     Summative

SYNOPSIS:

 

The class covers necessary concepts of digital signal processing and gives the student the opportunity to apply them using DSP technology. Coverage will include Discrete-Time Signals, Z-transforms, discrete-time system modelling, and digital filter design, Discrete Fourier Transform, Fast Fourier Transform, sampling theory and DSP implementation.
MODE OF DELIVERY: Lecture, Lab, Assignment.
ASSESSMENT METHODS AND TYPES:
A. Continuous Assessment (50%)
Category Percentage
·         Test

·         Lab

·         Assignment

10%

20%

20%

 

 

B. Final Examination (50%)
i.      Examination 50% ·    Structured and essay type questions
MAIN REFERENCES SUPPORTING THE COURSE
  1. Richard G. Lyons, 2011. Understanding Digital Signal Processing. 3rd Pearson.
ADDITIONAL REFERENCES SUPPORTING THE COURSE
  1. Steven W. Smith, 1997. The Scientist and Engineer’s Guide to Digital Signal Processing. Online text.
  2. Alan V. Oppenheim, 2009. Discrete-Time Signal Processing. 3rd edition. Prentice Hall