INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering
2016-2017

SYLLABUS
Code Name Level Year Semester
EEE 334 Digital Signal Processing Undergraduate 3 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 5 2 + 2 120 English

 Instructor Assistant Coordinator Jasmin Kevrić, Assist. Prof. Dr. Jasmin Kevrić, Assist. Prof. Dr. Jasmin Kevrić, Assist. Prof. Dr. [email protected] [email protected] no email

COURSE OBJECTIVE
The aim of this course is to provide fundamental concepts in digital signals and systems, as an introduction to advance digital signal processing. Digital signal processing represents a base upon which various engineering systems are build, including communication systems, image processing, speech processing, consumer electronics, and data processing. This course aims at preparing the student for basic DSP activities, focusing mostly on digital filter design, providing a solid ground for upgrade and work on practical DSP devices, as well as general purpose hardware in role of DSP

COURSE CONTENT
Week
Topic
1. Sampling Theory
2. Sampling Theory
3. Discrete-Time S&S
4. Discrete-Time S&S
5. The Z-Transform
6. The Z-Transform
7. Midterm Review
8. M I D T E R M E X A M
9. Fourier Analysis of Discrete-Time S&S
10. Fourier Analysis of Discrete-Time S&S
11. Design of Discrete Filters
12. Design of Discrete Filters
13. Applications
14. Applications
15. Final Review

LABORATORY/PRACTICE PLAN
Week
Topic

TEACHING/ASSESSMENT
Description
• Interactive Lectures
• Practical Sessions
• Excersises
• Problem solving
Description (%)
Method Quantity Percentage (%)
Quiz1020
Midterm Exam(s)135
Attendance15
Final Exam140
Total: 100
Learning outcomes
• Describe the properties of discrete LTI systems;
• Understand mathematical descriptions and representations of discreet signals and systems and draw parallel with continuous time signals and systems
• Understand how to sample the continuous time signal at hand;
• Familiarize with the idea of representing discrete time signals and LTI systems in the Z domain;
• Familiarize with the idea of representing discrete time signals and LTI systems in the frequency domain;
• Understand spectral representation of signals via DTFT, DFT, and FFT, and their properties and applications;
• Ability to solve difference equations;
• Ability to design digital filters;
TEXTBOOK(S)
• Luis F. Chaparro, “Signals and Systems using MATLAB”, Academic Press, 2010

ECTS (Allocated based on student) WORKLOAD
Activities Quantity Duration (Hour) Total Work Load
Lecture (14 weeks x Lecture hours per week)14228
Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)14228
Midterm Examination (1 week)122
Final Examination(1 week)122
Preparation for Midterm Examination11515
Preparation for Final Examination12525
Assignment / Homework/ Project10220
Seminar / Presentation 0