Information Package

Program of Artificial Intelligence Engineering (English)

AI403

DIGITAL SIGNAL PROCESSING

Course Code
AI403
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. To gain the ability to solve the problem.
  2. To do analysis using the appropriate basic transformations.
  3. To use the sampling theory in its applications.
  4. To calculate the system transfer function and phase response.
  5. To design for basic IIR and FIR filter structures.
  6. Apply the theoretical knowledge with modern technical tools.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionDiscrete-Time Signals and Systems, Discrete Time Fourier Transform, Sampling Theory in Frequency Domain, Fast Fourier Transform, Transfer Function in Frequency Domain, Z transform and applications, Digital Filter Design, FIR Filter Design Methods, IIR Filter Design Methods.
Course Contents
WEEK TOPICS
1st Week Discrete-Time Signals and Systems
2nd Week Discrete-Time Signals and Systems
3rd Week Discrete Time Fourier Transform
4th Week Sampling Theory in Frequency Domain
5th Week Fast Fourier Transform
6th Week Transfer Function in Frequency Domain
7th Week Z transform and applications
8th Week Midterm Exam
9th Week Z transform and applications
10th Week Z transform and applications
11th Week Digital Filter Design
12th Week Digital Filter Design
13th Week FIR Filter Design Methods
14th Week IIR Filter Design Methods
Recommended or Required Reading* Alan V. Oppenheim, Ronald W. Schafer, Discrete Time Signal Processing, 2nd Ed. (1999) Prentice Hall.
* Sanjit K. Mitra, Digital Signal Processing Laboratory Using Matlab, (1999), McGraw-Hill
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 2 25
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5 LO6
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