GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Signals and Systems/EEE321
Course Title: Signals and Systems
Credits 3 ECTS 6
Course Semester 5 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Understand the concept of signals and systems.
Know the basic system properties and meaning of linear time-invariant systems.
Can use the Fourier Series representations for periodic signals.
Understand and can use the Fourier transform methods for the analysis of continuous-time and discrete-time signals and systems.
Understand and can use the z-transform methods for the analysis discrete-time signals and systems.
Understand the differences and uses of different transform methods and know when to apply which.
 -- MODE OF DELIVERY
  Face-to-face
 --WEEKLY SCHEDULE
1. Week  INTRODUCTION: Definitions of signals and systems, classification, importance in engineering, applications examples.
2. Week  BASIC CONCEPTS: Transformations, basic continuous and discrete-time signals
3. Week  BASIC CONCEPTS: Continuous and discrete-time systems and their properties
4. Week  LTI SYSTEMS: Modeling, impulse response and concepts of convolution.
5. Week  CONVOLUTION: Determination of systems responses by convolution summation or integral.
6. Week  DIFFERENTIAL EQUATIONS: Classical or transform techniques for the analysis of continuous time LTI systems defined by differential equations.
7. Week  MIDTERM EXAM I
8. Week  DIFFERENCE EQUATIONS: Modeling of discrete-time LTI systems by difference equations and analysis techniques
9. Week  FOURIER SERIES: Importance of Fourier series expansions and its use in system analysis.
10. Week  FOURIER TRANSFORM: Application of Fourier transform technique in system analysis.
11. Week  FREQUENCY DOMAIN: Analysis of LTI systems in the frequency domain, modulation, sampling.
12. Week  Z TRANSFORM: Introduction to the method of Z transform in the analysis and synthesis of discrete-time systems
13. Week  MIDTERM EXAM II
14. Week  TRANSFER FUNCTION: Representation of systems by transfer functions and their properties.
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
67
 Assignment
0
0
 Application
0
0
 Projects
1
33
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
14
1
14
 Searching in Internet and Library
14
1
14
 Material Design and Implementation
0
0
0
 Report Preparing
6
5
30
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
2
10
20
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
10
1
10
 TOTAL WORKLOAD: 
150
 TOTAL WORKLOAD / 25: 
6
 Course Credit (ECTS): 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate 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
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.X
3Ability 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.X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.X
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individuallyX
7Ability 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 instructionsX
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herselfX
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.X
11Knowledge about the global and social effects of engineering practices 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 .X
 -- NAME OF LECTURER(S)
   (1. Prof. Dr. Özgül SALOR-DURNA )
 -- WEB SITE(S) OF LECTURER(S)
   (salordurna@gazi.edu.tr)
 -- EMAIL(S) OF LECTURER(S)
   (salordurna@gazi.edu.tr)