COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Selected Topics in Signal Processing
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
EEE 509
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course covers the fundamentals of discrete-time signals and systems, design and implementation of signal processing systems, and selected topics from the current state-of-the-art research and developments in signal processing.
Learning Outcomes The students who succeeded in this course;
  • learn how to use time-domain and transform-domain techniques for representing and analyzing discrete-time signals and systems,
  • know how to use discrete-time systems to process continuous-time signals,
  • know how to design and implement discrete-time filters,
  • know how to design optimal filters for estimating discrete-time random processes,
  • know how to develop adaptive filters capable of responding to varying processing requirements,
  • know how to design and implement various signal processing algorithms using Matlab and signal processing toolbox.
Course Description Discrete-time (DT) signals and systems, FIR and IIR systems, discrete-time Fourier transforms and applications, structures for implementing FIR and IIR filters, FIR and IIR filter design, multirate digital signal processing, optimum linear filters, adaptive filters and array signal processing.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Empirical Mode Decomposition Related research papers
2 Ensemble Empirical Mode Decomposition Related research papers
3 Multivariate Empirical Mode Decomposition Related research papers
4 Variational Mode Decomposition Related research papers
5 Multivariate Variational Mode Decomposition Related research papers
6 Intrinsic Time-Scale Decomposition Related research papers
7 Intrinsic Time-Scale Decomposition Applications Related research papers
8 Short-time Fourier Transform Related research papers
9 Fourier Based Synchrosqueezing Transform (FSST) Related research papers
10 Student presentations Related research papers
11 Student presentations Related research papers
12 Student presentations Related research papers
13 Student presentations Related research papers
14 Student presentations Related research papers
15 Student presentations Related research papers
16 Review of the semester
Course Notes/Textbooks The textbook referenced above and course slides
Suggested Readings/Materials Related Research Papers

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
20
Presentation / Jury
1
20
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
70
Weighting of End-of-Semester Activities on the Final Grade
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
4
60
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
30
Presentation / Jury
1
30
Project
1
42
Seminar / Workshop
Oral Exam
Midterms
Final Exams
1
25
    Total
235

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information. X
2 Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations. X
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. Knows and applies the research methods in studies of the area with a high level of skill.
X
4 Is informed about new and upcoming applications in the field and learns them whenever necessary. X
5 Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. Can independently realize novel studies that bring innovation to the field, or methods, or design, or known methods.
X
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. X
7 Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process. Performs critical analysis, synthesis and evaluation of new and complex ideas. X
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. X
9 Engages in written and oral communication at least in Level C1 of the European Language Portfolio Global Scale. X
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
X
11 Evaluates the results of scientific, technological and engineering research and development activities in terms of the social, environmental, health, safety and legal aspects. Examines social relations and norms related to the field, and develops and makes attempts to change them if necessary. Knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications. 
X
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics.
X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest