23571 DIGITAL SIGNAL PROCESSING COURSE OUTLINE 23571 Digital Signal Processing First Semester 2014/2015 3 Dr. Osama M.F. Abu-Sharkh, [email protected] 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.