Course Name Code Semester T+U Hours Credit ECTS
Signals and Systems BSM 307 5 3 + 0 3 4
Precondition Courses Taken the courses named electrical circuit fundamentals and electronic circuits and laboratory
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi SEÇKİN ARI
Course Lecturers Doç.Dr. AHMET ZENGİN, Dr.Öğr.Üyesi SEÇKİN ARI,
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 on the topics, concerning digital signal processing and digital control systems
Course Content Discrete-time signals and systems, modelling of the linear and time-invariant systems by unit impuls response method, difference and state equations method, z transform, invers z transform, z transformation applications and stability, spectrum analysis of the analog signals and fourier transform, sampling in time and frequency domain
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understanding discrete-time signals and systems , , , , , ,
2 Modelling of the linear and time-invariant systems by unit impuls response method , , , , , ,
3 Modelling of the linear and time-invariant systems by the difference equations method , , , , , , ,
4 Modelling of the linear and time-invariant systems by the state equations method , , , , , , ,
5 Understanding Z-transform , , , , , , ,
6 Understanding Z-transformation applications , , , , , , ,
7 Understanding spectrum analysis of the analog signals and fourier transform , , , , , , ,
8 Understanding sampling in time and frequency domain , , , , , , ,
Week Course Topics Preliminary Preparation
1 Clasifications of the signals
2 Discrete-time signals and serials
3 Discrete-time systems and their specifications
4 Modelling of the linear and time-invariant systems by unit impuls response method
5 Convolution and its specifications
6 Unit impuls response-stability and causality
7 Modelling of the linear and time-invariant systems by the difference equations method
8 Natural, constrained and total solution
9 Modelling of the linear and time-invariant systems by the state equations method
10 Definition and specifications of Z transformation
11 Inverse Z transform and its transformation methods
12 Z transformation applications and stability
13 Spectrum analysis of the analog signals and fourier transform
14 Sampling in time and frequency domain
Resources
Course Notes [1] Kürşat Ayan, Ders Notları, Sakarya Üniversitesi, 2006, Sakarya
Course Resources [1] Kayran, A. H. ve Ekşioğlu E. M., Bilgisayar Uygulamalarıyla Sayısal İşaret İşleme, Birsen Yayınevi
[2] Oppenheim, A. V. and Schafer, R. W., Discrete-Time Signal Processing, Prentice Hall Signal Processing Series
[3] Sarp Ertük, Sayısal İşaret İşleme, Birsen Yayınevi
[4] M. J. Roberts, Sinyaller ve Sistemler, Seçkin Yayıncılık
[5] Hwei P. Hsu, Sinyal ve Sistemler, Seçkin Yayıncılık
[6] Orhan Gazi, Sinyaller ve Sistemler, Seçkin Yayıncılık
[7] J. G. Proakis, D. G. Manolakis, Özgül Salor, Sayısal Sinyal İşleme, Nobel Yayıncılık
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,
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,
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,
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,
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 85
1. Kısa Sınav 5
2. Kısa Sınav 5
1. Ödev 5
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 10 10
Quiz 2 2 4
Assignment 1 5 5
Performance Task (Laboratory) 1 15 15
Final examination 1 15 15
Total Workload 129
Total Workload / 25 (Hours) 5.16
dersAKTSKredisi 4