Course Name Code Semester T+U Hours Credit ECTS
Advenced Topics In Signal Processing EEM 540 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. AŞKIN DEMİRKOL
Course Lecturers
Course Assistants
Course Category
Course Objective In the field of advanced topics in signal processing, to give theoretical information to make the M.S.thesis work useful.
Course Content Basics, signal processing, Fourier transformations, advanced topics in signal processing, time-frequency analysis, short-term Fourier transformation, Gabor theory, wavelet theory, modelling and simulation of signal processing approaches.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To comprehend the basic subjects in signal processing.
2 To comprehend the basic subjects in signal processing.
Week Course Topics Preliminary Preparation
1 Basic approaches in signal processing
2 Fourier transformations
3 Advanced signal processing techniques and time-frequency analysis
4 Short-term Fourier transform
5 Gabor theory
6 Wavelet theory and analysis
7 Hilbert transform
8 Emprical mode decomposition
9 Statistical signal processing
10 Filtring
11 Filtring techniques
12 Modelling and simulation in signal processing
13 Seminar I
14 Seminar II
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering.
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
7 High level ability to define the required information, data and reach, assess. X
7 High level ability to define the required information, data and reach, assess.
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations.
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications.
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Kısa Sınav 25
1. Ödev 25
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 1 5 5
Assignment 1 10 10
Final examination 1 20 20
Total Workload 141
Total Workload / 25 (Hours) 5.64
dersAKTSKredisi 6