Course Name Code Semester T+U Hours Credit ECTS
Signals and Systems EEM 305 5 3 + 0 3 4
Precondition Courses MAT131-Math-I, MAT132-Math-II, MAT231-Differential equations,EEM205 Electrical circuits
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi GÖKÇEN ÇETİNEL
Course Lecturers Dr.Öğr.Üyesi GÖKÇEN ÇETİNEL, Prof.Dr. AŞKIN DEMİRKOL, Doç.Dr. İRFAN YAZICI,
Course Assistants
Course Category Available Basic Education in the Field
Course Objective Students´ comprehending theoretical aspects of signals&systems and acquiring experimental skills on them
Course Content A general view to signals and systems, signal types, system types, transformations, signals and transformations, system and transformations, system and frequency response, design analysis of signals and systems
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Comprehend signals Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
2 Comprehend the systems and investigate the properties of the systems. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
3 Comprehend the continuous and discrete signals and systems. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
4 Comprehend the transforms of periodic signals. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
5 Comprehend the transforms of aperiodic signals. Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework,
6 Applying the learnings to special systems. Lecture, Discussion, Drilland Practice, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 Signals
2 Systems
3 Linear Time- Invariant Systems (The Convolution Sum)
4 Properties of Linear Time- Invariant Systems
5 Fourier Series Representation of Periodic Signals (Continuous-Time Periodic Signals)
6 Fourier Series Representation of Periodic Signals (Discrete-Time Periodic Signals)
7 Continuous-Time Fourier Transform
8 Discrete-Time Fourier Transform
9 Communication Systems Applications
10 Sapmling
11 The Laplace Transform
12 The Laplace Transform (Linear Fedback Systems)
13 The z- Transform
14 The z- Transform (Linear Fedback Systems)
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. X
2 Ability to identify formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)
4 Ability to devise, select, and use modem techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5 Ability to design and conduct experiments, gather data analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practice on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 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 4 64
Mid-terms 1 2 2
Quiz 1 2 2
Assignment 1 15 15
Total Workload 131
Total Workload / 25 (Hours) 5.24
dersAKTSKredisi 4