# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SIGNALS AND SYSTEMS/EE 210
 Course Title: SIGNALS AND SYSTEMS Credits 3 ECTS 4 Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
Turkish
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
Students taking this course can analyze discrete and continuous time signals
Be able to do signal processing in the time domain of discrete and continuous time signals.
Be able to analyze discrete and continuous time signals in the frequency domain
Knows how to obtain system responses to standard signals (unit impulse response, step response).

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Classification of signals and systems 2. Week Signal and system types, causality, linearity 3. Week Stability, time invariance, feedback systems 4. Week Convolution integral in continuous time and its properties 5. Week Convolution sum in discrete time, samples. 6. Week Systems described by differential and difference equations 7. Week Fourier series representations of continuous time signals 8. Week Mid term. Fourier series representation for discrete time signals 9. Week Properties of Fourier series 10. Week Fourier transform of continuous time signals, Fourier transform properties 11. Week Fourier transform of discrete-time signals and their properties 12. Week Frequency response, Parseval theorem, intact transmission, filtering, filter types, bandwidth and sampling 13. Week Laplace transform and its properties, convergence region and its properties, inverse Laplace transform. 14. Week z-transform and inverse z-transform, examples 15. Week 16. Week
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 50 Assignment 1 5 Application 0 0 Projects 0 0 Practice 0 0 Quiz 1 5 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 Reading Tasks 12 1 12 Searching in Internet and Library 12 1 12 Material Design and Implementation 0 Report Preparing 0 Preparing a Presentation 0 Presentation 0 Midterm Exam and Preperation for Midterm Exam 3 5 15 Final Exam and Preperation for Final Exam 4 6 24 Other (should be emphasized) 0 TOTAL WORKLOAD: 105 TOTAL WORKLOAD / 25: 4.2 Course Credit (ECTS): 4
-- COURSE'S CONTRIBUTION TO PROGRAM
 NO PROGRAM LEARNING OUTCOMES 1 2 3 4 5 1 Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. X 2 An ability to identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose. X 3 An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. X 4 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. X 5 Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics. X 6 Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. X 7 Ability to communicate effectively in oral and written Turkish; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills. X 8 Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. X 9 To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. X 10 Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development. X 11 Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions. X
-- NAME OF LECTURER(S)
(Prof. Dr. Fatma Nihal GÜLER , Assist. Prof. Dr. Ayşe DEMİRHAN )
-- WEB SITE(S) OF LECTURER(S)
(https://abs.gazi.edu.tr/fnguler , https://abs.gazi.edu.tr/ayseoguz)
-- EMAIL(S) OF LECTURER(S)
(fnguler@gazi.edu.tr , ayseoguz@gazi.edu.tr)