23571 DIGITAL SIGNAL PROCESSING COURSE OUTLINE Course Number & Title: Semester:

23571 DIGITAL SIGNAL PROCESSING COURSE OUTLINE
23571 Digital Signal Processing
First Semester 2014/2015
3
Dr. Osama M.F. Abu-Sharkh, osama@psut.edu.jo
Lecture
Mandatory for Communications, Computer and Electronics Engineering Students.
Lecture: 3 hours/week (10:00 – 11:00 Sun, Tue, Thu)
5 hours/week (11:00 – 12:00pm Sun, Tue, Thu & 12:30 – 1:30pm Mon, Wed)
First Exam
25%
Second Exam
25%
Final Exam
40%
Participation
10%
23351 Signals and Systems
Course Prerequisites:
Discrete-time signals and systems. Frequency analysis of discrete-time signals and
Catalog Description:
systems. Sampling and quantization. Discrete Fourier transform. Windowing
effect. Z-transform. FIR and IIR Digital filters design. Digital filters realization.
Fast Fourier transform.
1- “Fundamentals of Digital Signal Processing”, Lonnie C. Ludeman. Harper &
Textbook and Related
Row Publishers Inc., ISBN: 0-06-044093-7.
Course Materials:
2- http://www.psut.edu.jo/sites/osama
1. Discrete-Time Systems
Topics Covered:
2. Sampling and Quantization
3. The Z Transform
4. Discrete Fourier Transform
5. Analog Filter Design
6. Digital Filter Design
7. Fast Fourier Transform
Engineering Topics:
60 %
Contribution to the
0%
Professional Component: General Education:
Mathematics & Basic Sciences:
40 %
Mathematics:
Very Good
Expected Level of
Physics:
Very Good
Proficiency for Students
Technical writing:
Not Applicable
Entering the Course:
Computer programming:
Good
Stu. Dept. Instr. TA(s)
Materials Available to
Students & Department
Course objectives and outcomes form:



at End of Course:
Lecture notes:


Samples of exam solutions from 3 students:


Course performance form from student surveys:

End-of-course instructor survey:


Yes.
Will This Course Involve Computer Assignments?
No.
Will This Course Have TA(s) When it is Offered?
Course Number & Title:
Semester:
Credit Hours:
Instructor(s)-in-charge:
Course Type:
Required or Elective:
Course Schedule:
Office Hours:
Course Assessment &
Grading Policy:
Level of Contribution to Student Outcomes
(a) (e) (k)
High:
(c)
Medium:
(g) (j) (i)
Low:
Upon completion of this course, students will have had an opportunity to learn about the following:
1.
2.
3.
4.
5.
6.
7.
8.
Course Learning Outcomes (CLOs)
Discrete-Time Systems
Sampling and Quantization
The Z Transform
Discrete Fourier Transform
Analog Filter Design
Digital Filter Design
Fast Fourier Transform
Successfully conduct and present term project
Student Outcomes
a, k
a, e, k
a, e, k
a, e
a, c, e, k
a, c, e, k
a, e
a, g, j, i
ABET’s Course Outcomes (a-k) Criteria
a. Ability to apply knowledge of mathematics, science, and engineering
b. Ability to design and conduct experiments, as well as analyze and interpret data
c. Ability to design a system, component, or process to meet desired needs
d. Ability to function in multi-disciplinary teams
e. Ability to identify, formulate and solve engineering problems
f. Understanding of professional and ethical responsibility
g. Ability to communicate effectively
h. Understand the impact of engineering solutions in a global and societal context
i. Recognition of the need for, and an ability to, engage in life-long learning
j. Knowledge of contemporary issues
k. Ability to use the techniques, skills, and modern engineering tools necessary for
engineering practice.