EEES401 Digital Signal Processing

4 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
ELECTRICAL-ELECTRONIC ENGINEERING PR. (ENGLISH)
Code EEES401
Name Digital Signal Processing
Term 2018-2019 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SAMİ ARICA
Course Instructor Prof. Dr. SAMİ ARICA (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

Analysis and representation methods and techniques for digital (discrete) signals and systems are introduced.

Course Content

Sampling and reconstruction. Introduction to discrete time signals and systems. Linear time invariant (LTI) systems; convolution sum. Discrete transforms; DFT, FFT, DCT, DCT. Z-transform and applications. Transform domain analysis of LTI systems. Finite impulse response digital filter design. Infinite impulse response digital filter design. Digital Signal Processors. Digital signal processing applications.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Describe and analyze discrete time signals in the time domain and frequency domain.
LO02 Apply digital signal processing techniques to analyze discrete time signals and systems
LO03 Apply digital signal processing techniques to design discrete time systems.
LO04 Design and apply digital filters.
LO05 Solve digital signal processing problems using Matlab.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in those fields of mathematics and physics that form the foundations of engineering. 5
PLO02 - Grasps the main knowledge in the basic topics of electrical and electronic engineering. 5
PLO03 - Comprehends the functional integrity of the knowledge gathered in the fields of basic engineering and electrical-electronics engineering. 4
PLO04 - Identifies problems and analyzes the identified problems based on the gathered professional knowledge. 4
PLO05 - Formulates and solves a given theoretical problem using the knowledge of basic engineering. 4
PLO06 - Has aptitude for computer and information technologies 4
PLO07 - Knows English at a level adequate to comprehend the main points of a scientific text, either general or about his profession, written in English. 4
PLO08 - Has the ability to apply the knowledge of electrical-electronic engineering to profession-specific tools and devices. 4
PLO09 - Has the ability to write a computer code towards a specific purpose using a familiar programming language. 4
PLO10 - Has the ability to work either through a purpose oriented program or in union within a group where responsibilities are shared. 3
PLO11 - Has the aptitude to identify proper sources of information, reaches them and uses them efficiently. 3
PLO12 - Becomes able to communicate with other people with a proper style and uses an appropriate language. 0
PLO13 - Internalizes the ethical values prescribed by his profession in particular and by the professional life in general. 0
PLO14 - Has consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. 0


Week Plan

Week Topic Preparation Methods
1 Sampling and reconstruction. Textbook reading/Problem solving.
2 Discrete time signals and systems: classifications and properties. Textbook reading/Problem solving.
3 Linear time invariant systems: convolution sum. Textbook reading/Problem solving.
4 LTI-causal systems described by linear constant coefficient difference equations. Textbook reading/Problem solving.
5 Discrete transforms: DFT, FFT, DCT and DST. Textbook reading/Problem solving.
6 Discrete transforms: DFT, FFT, DCT and DST (continued). Assigment I. Textbook reading/Problem solving.
7 Z-transform and applications. Textbook reading/Problem solving.
8 Midterm Exam. I. Textbook reading/Problem solving.
9 Z-transform and applications (continued). Textbook reading/Problem solving.
10 Transform domain analysis of LTI systems. Textbook reading/Problem solving.
11 Transform domain analysis of LTI systems (continued). Textbook reading/Problem solving.
12 Midterm Exam. II. Finite impulse response digital filter design. Assigment II. Textbook reading/Problem solving.
13 Infinite impulse response digital filter design. Assigment III. Textbook reading/Problem solving.
14 Digital Signal Processors. Textbook reading/Problem solving.
15 Digital signal processing applications. Assigment IV. Textbook reading/Problem solving.
16 Final Exam. Textbook reading/Problem solving.
17 Final Exam. Textbook reading/Problem solving.


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 2 2
Final Exam 1 2 2
Total Workload (Hour) 88
Total Workload / 25 (h) 3,52
ECTS 4 ECTS

Update Time: 13.05.2024 10:43