Course Name Code Semester T+U Hours Credit ECTS
Digital Signal Processing MEK 601 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Doç.Dr. SEZGİN KAÇAR
Course Lecturers
Course Assistants
Course Category
Course Objective Helping students to develop themselves with digital signal procesing techniques and apply these techniques into different areas.
Helping students to get an ability to design digital filters using these techniques.
Course Content Techniques of digital signal processing. Examples of signal processing application in different areas.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Comprehends digital signal processing techniques. Lecture, Question-Answer, Testing,
2 Explains signal processing algorithms. Lecture, Question-Answer, Testing,
3 Explains advantages of digital signal processors. Lecture, Question-Answer, Testing,
4 Comprehends application areas of signal processing. Lecture, Question-Answer, Self Study, Problem Solving, Homework,
5 Comprehends Digital Signal Processors´ architectures Simulation, Lab / Workshop, Self Study, Testing, Homework, Project / Design,
6 Comments on signal processing applications in different areas. Lecture, Question-Answer, Self Study, Testing, Homework,
7 Explains a Digital Filter Block´s structure. Lecture, Question-Answer, Drilland Practice, Self Study, Testing, Homework,
8 Designs a digital filter. Lecture, Question-Answer, Self Study, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Digital Signal Processing and advantages. [1]
2 Comparison of digital signal processors with other processors. [2,3,4]
3 Numerical representations used in digital signal processors [2,3,4]
4 Techniques used in real-time signal processing. [1,2]
5 Importance of sampling process and problems encountered [1]
6 Errors in quantization process [1]
7 Errors in digital to analog conversion [1]
8 General features of digital signal processors [1]
9 Midterm Exam [1]
10 Transform methods in signal processing [1]
11 Digital filter design steps [1]
12 Finite Impuls Response (FIR) filters. Infinite Impuls Response (IIR) filters. Different filter structures. [1]
13 Techniques used in audio and video processing applications [2,3,4]
14 Application examples implemented in different areas [2,3,4]
Course Notes [1] Eskikurt, Halil İbrahim; İşaret İşleme Ders Notları, SAÜ TEF, 2007
Course Resources [2] Emmanuel J. Ifeachor, Barrie W. Jervis, Dijital Signal Processing, A practical approach, Addison-Wesley Publishing Company, UK, 1993.
[3] Marven, C. and Ewers, G., A simple approach to Digital Signal Processing, Texas Instruments, UK, 1994.
[4] Handbook for Digital Signal Processing, Mitra, S.K. and Kaiser, J.F., John Wiley & Sons, USA, 1993.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering X
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise X
5 Ability to complete and implement "limited or incomplete data" by using the scientific methods. X
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
8 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
9 Gain high level ability to define the required information and data X
10 Aware of new and developing application of profession and ability to analyze and study on those applications X
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment X
12 At least be capable of oral and written communication in a foreign language X
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 50
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 2 32
Mid-terms 1 20 20
Assignment 1 20 20
Final examination 1 30 30
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6