INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Engineering and Natural Sciences
3+2 Electrical and Electronic Engineering
2015-2016

SYLLABUS
Code Name Level Year Semester
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
Area Elective 6 3 150 English

 Instructor Assistant Coordinator Jasna Hivziefendić, Assist. Prof. Dr. Jasmin Kevrić, Assist. Prof. Dr. [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. AR Modelling
8. MIDTERM EXAM
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. Wavelets

LABORATORY/PRACTICE PLAN
Week
Topic

TEACHING/ASSESSMENT
Description
• Interactive Lectures
• Practical Sessions
• Excersises
• Presentation
• Problem solving
• Assignments
Description (%)
Method Quantity Percentage (%)
Midterm Exam(s)120
Presentation115
Term Paper125
Final Exam140
Total: 100
Learning outcomes
• AR modeling;
• 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;
• Time-Frequency Analysis
• Ability to design digital filters;
TEXTBOOK(S)
• Luis F. Chaparro, “Signals and Systems using MATLAB”, Academic Press

ECTS (Allocated based on student) WORKLOAD
Activities Quantity Duration (Hour) Total Work Load
Lecture (14 weeks x Lecture hours per week)14342
Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)14 0
Midterm Examination (1 week)122
Final Examination(1 week)122
Preparation for Midterm Examination13535
Preparation for Final Examination13535
Assignment / Homework/ Project13434
Seminar / Presentation 0