Advanced Electronics and Communication Technology (English) with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

ECE507

Course Name:

DSP Tecniques for Communication

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	10

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi DİDEM KIVANÇ TÜRELİ

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:	To introduce the fundamental principles of discrete time and quantized signal processing so that students may analyze and design digital signal processing systems.
Course Content:	Discrete time signals and systems, properties of linear time invariant systems, the z transform, Fourier representation of signals, transform analysis of LTI systems, sampling of continuous time signals, discrete fourier transform, computing the discrete Fourier transform, design of FIR filters, design of IIR filters, multirate signal processing, finite wordlength effects.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Analyze the effect of sampling and quantization on a signal or system.
2) Analyze discrete time systems in the time and spectral domains.
3) Design and implement digital systems for typical signal processing applications.
4) Implement digital signal processing algorithms using MATLAB.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Introduction to Digital Signal Processing, Discrete time signals and systems
2)	Properties of Linear Time Invariant Systems
3)	The z transform
4)	The inverse z transform
5)	Fourier representation of discrete time signals
6)	Transform Analysis of LTI Systems
7)	Sampling of continuous time signals
8)	Discrete Fourier Transform
9)	Computing the Discrete Fourier Transform
10)	Design of FIR Filters
11)	Design of IIR Filters
12)	Multirate Signal Processing
13)	Finite wordlength effects
14)	Various applications.

Sources

Course Notes / Textbooks:	Alan Oppenheim, Ronald Schafer, John Buck, “Discrete-Time Signal Processing,” Prentice Hall, 2nd Edition.
References:	Yok

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4
Program Outcomes
1) By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings.
2) Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations.
3) Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together.
4) Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary
5) Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions.
6) Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7) Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process.
8) Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility.
9) A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level.
10) Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area.
11) Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications.
12) Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	By carrying out scientific research in their field, graduates evaluate and interpret deeply and broadly, their findings and apply their findings.
2)	Graduates have extensive knowledge about current techniques and methods applied in engineering and their limitations.
3)	Graduates can complet and implement knowledge using scientific methods using limited or incomplete data; can use the information of different disciplines together.
4)	Graduates are aware of new and evolving practices of their profession, examinining new knowledge and learning as necessary
5)	Graduates can define and formulate problems related to the field, develop methods to solve them and apply innovative methods in solutions.
6)	Graduates develop new and/or original ideas and methods; design complex systems or processes and develop innovative / alternative solutions in their designs.
7)	Graduates design and apply theoretical, experimental and model-based research; analyze and investigate the complex problems encountered in this process.
8)	Lead in multidisciplinary teams, develop solution approaches in complex situations, work independently and take responsibility.
9)	A foreign language communicates verbally and in writing using at least the European Language Portfolio B2 General Level.
10)	Transfers the processes and outcomes of their work in a systematic and explicit manner, either written or verbally, in the national or international contexts of that area.
11)	Recognize the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, and are aware of the limitations they place on engineering applications.
12)	Consider social, scientific and ethical values in the collection, interpretation, announcement of data and in all professional activities.

Learning Activity and Teaching Methods

Field Study
Expression
Individual study and homework
Lesson
Reading
Homework
Problem Solving

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	10	% 20
Homework Assignments	6	% 1
Midterms	1	% 34
Final	1	% 45
total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Laboratory	10	2	20
Study Hours Out of Class	14	2	28
Homework Assignments	8	5	40
Midterms	1	10	10
Final	1	10	10
Total Workload			136