The main objectives of the course are as follows:
To provide advanced knowledge of Wavelets and Multiscale Analysis fundamentals.
To develop advanced skills and competency in Wavelets and Multiscale Analysis discipline.
To apply these skills to the full spectrum of complex Wavelets and Multiscale Analysis problems, through independent research and investigation.
To develop the students' transferable skills including communication (oral, written and aural), time and project management.
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Contribution of the Course to Professional Development
To be able to follow innovations and apply them in the field by using the competence of collecting information, researching and analyzing them.
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Learning Outcomes:
1
Gain sufficient knowledge on Wavelets and Multiscale Analysis field; the ability to model and solve pattern recognition problems using theoretical and practical knowledge.;
2
Gain the ability to identify, model, and solve complex Wavelets and Multiscale Analysis problems; the ability to select and apply appropriate analysis and modeling methods for these problems.;
3
Gain the ability to develop, select, and use modern techniques and tools necessary for Wavelets and Multiscale Analysis applications; the ability to use information technologies in an efficient way.;
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Course Content:
Week
Theoretical
Practical
1
Digital signal processing methods in general
2
Wavelets
3
Signal Spaces
4
Signal Bases and Frames
5
Wavelet transforms
6
Continuous time wavelet transforms
7
Continuous time wavelet series
8
MIDTERM EXAM and Course Review
9
Discrete time wavelet transforms and generalizations
10
Stationary-time wavelet transforms
11
Wavelet Packets
12
Wavelet based system design
13
Approximation
14
Best signal basis
23
Textbooks, References and/or Other Materials:
Dalgacık Teorisi, Niyazi Arı, 2008. An introduction to random vibrations, spectral and wavelet analysis, D. E. Newland, Prentice Hall , 2003
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
40
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Measurement and evaluation is carried out according to the principles of Bursa Uludag University Associate and Undergraduate Education Regulation.
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
3
42
Practicals/Labs
0
0
0
Self Study and Preparation
14
3
42
Homeworks, Performances
0
14
14
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
15
15
Others
0
0
0
Final Exams
1
7
7
Total WorkLoad
135
Total workload/ 30 hr
4
ECTS Credit of the Course
4
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
