Course Name Code Semester T+U Hours Credit ECTS
Digital Signal Processing BSM 431 7 3 + 0 3 5
Precondition Courses Signals and systems
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi SEÇKİN ARI
Course Lecturers
Course Assistants Res.Asst. Soydan Serttaş, Expert Ziynet Yılmaz
Course Category
Course Objective aim of this course is to form an infrastructure to the students that will practically research the topics concerning digital signal processing.
Course Content The applications of Z-transform, the sampling and the overlap on time and frequency domain, discrete and fast Fourier transform, the design methods of the digital filter
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand applications of Z-transform Lecture, Question-Answer, Drilland Practice, Testing, Oral Exam,
2 Understand the sampling and the overlap on time and frequency domain Lecture, Question-Answer, Testing, Oral Exam,
3 Understand Discrete Fourier transform Lecture, Question-Answer, Drilland Practice, Testing, Oral Exam,
4 Understand Fast Fourier transform Lecture, Question-Answer, Drilland Practice, Testing, Oral Exam, Homework,
5 Understand the general principles in the design of the digital filter Lecture, Drilland Practice, Testing, Oral Exam, Project / Design,
6 Understand the design methods of FIR filter Lecture, Drilland Practice, Testing, Oral Exam, Project / Design,
7 Understand the design methods of IIR filter Lecture, Drilland Practice, Testing, Oral Exam, Project / Design,
Week Course Topics Preliminary Preparation
1 The applications of Z-transform
2 The sampling and the overlap on time and frequency domain
3 The sampling and the overlap on time and frequency domain
4 Discrete Fourier transform
5 Discrete Fourier transform
6 Fast Fourier transform
7 Fast Fourier transform
8 The general principles in the design of the digital filter
9 The general principles in the design of the digital filter
10 The design methods of FIR filter
11 The design methods of FIR filter
12 The design methods of IIR filter
13 The design methods of IIR filter
14 The design methods of IIR filter
Resources
Course Notes [1] Lecture Notes. Sakarya Universty
Course Resources [1] Kayran, A. H. ve Ekşioğlu E. M., Bilgisayar Uygulamalarıyla Sayısal İşaret İşleme, Birsen Yayınevi, 2004
[2] Oppenheim, A. V. and Schafer, R. W., Discrete-Time Signal Processing, Prentice Hall Signal Processing Series, 1989
[3] Sarp Ertük, Sayısal İşaret İşleme, Birsen Yayınevi,
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
1. Ödev 10
2. Kısa Sınav 10
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 7 7
Assignment 1 7 7
Final examination 1 13 13
Total Workload 123
Total Workload / 25 (Hours) 4.92
dersAKTSKredisi 5