Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
8EEE 404DIGITAL SYSTEMS AND SIGNAL PROCESSING3+0+03512.07.2024

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS E.
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The main objective is to give the Fundamentals of Digital Signal Processing.
Course Content Review of linear systems. Overview of analog and digital signal processing. A/D converters. Discrete time signals and Z-transform. Digital systems. Discrete and fast Fourier transform processor integrated circuits. D/A converters
Course Methods and Techniques Reading, Problem Solving, Questioning, Discussion
Prerequisites and co-requisities ( EEE 202 )
Course Coordinator Associate Prof.Dr. Taner İnce
Name of Lecturers Associate Prof.Dr. TANER INCE
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Alan V. Oppenheim, Ronald W. Schafer Discrete-Time Signal Processing Prentice Hall
Course Notes Alan V. Oppenheim, Ronald W. Schafer Discrete-Time Signal Processing Prentice Hall

Course Category
Mathematics and Basic Sciences %50
Engineering %50

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 2 % 60
Final examination 1 % 40
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 6 84
Assignments 7 2 14
Mid-terms 2 2 4
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 5 146

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Describe and analyze discrete time signals in the time domain and frequency domain.
2 Apply digital signal processing techniques to analyze discrete time signals and systems
3 Design and apply digital filters.
4 Solve digital signal processing problems using Matlab.
5 Apply digital signal processing techniques to design discrete time systems.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Discrete-Time Signals & Systems
2 Discrete-Time Signals & Systems
3 z-Transform & its Application to Analysis of LTI Systems
4 z-Transform & its Application to Analysis of LTI Systems
5 Frequency Analysis of Signals & Systems
6 Frequency Analysis of Signals & Systems
7 Frequency Analysis of Signals & Systems
8 Discrete Fourier Transform: its Properties & Applications
9 Discrete Fourier Transform: its Properties & Applications
10 Efficient Computation of DFT: Fast Fourier Transform Algorithms
11 Efficient Computation of DFT: Fast Fourier Transform Algorithms
12 Implementation of Discrete-Time Systems
13 Implementation of Discrete-Time Systems

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 5 5 5
C1 5 5 5 5
C2 5 5 5 5
C3 5 5 5 5
C4 5 5 5 5
C5 5 5 5 5

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  https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=337783&lang=en