COURSE INFORMATION Course Title: SIGNALS AND SYSTEMS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 317	B	5	3	2	0	4	5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Ali Osman Topal , Wednesday 10:00 / 12:00
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	Properties of Signals and Systems, Linear and Time Invariant Systems, Convolution in Continuous and Discrete Time Systems, Fourier Analysis of Continuous and Discrete Time Signals, Laplace Transforms, Inverse Laplace Transform, z-Transform, Inverse z-Transform, Transfer (System) Function, Fourier Transform, Discrete Fourier Transform, Difference Equations, Eigenvalues and Eigen functions, Orthogonal Systems, Modulation Concept, Sampling Theorem.
Course Objectives:	Coverage of continuous and discrete-time signals and systems, their properties and representations and methods that are necessary for the analysis of continuous and discrete-time signals and systems. Knowledge of time-domain representation and analysis concepts as they relate to difference equations, impulse response and convolution, etc Knowledge of frequency-domain representation and analysis concepts using Fourier Analysis tools, Z-transform Concepts of the sampling process

COURSE OUTLINE

Week	Topics
1	An Introduction to Signals and Systems
2	Signals Classifications; Energy and Power
3	Analyzing Discrete and Continuous Time Systems in the Time Domain
4	Impulse Response and Convolution
5	Stability in Continuous and Discrete Time Systems
6	Analysis of Periodic Signals – Fourier Series
7	Analysis of Non-Periodic Signals – Fourier Transform
8	Midterm
9	Energy and Power in the Frequency Domain – Energy and Power Spectral Density, Autocorrelation
10	Sampling and Reconstruction
11	z-Transform for Discrete-Time Signals and Systems
12	Analysis and Design of Filters
13	Window-based design of FIR filters. Bilinear transformation-based design of IIR filters.
14	Amplitude Modulation

Prerequisite(s):	Discrete Mathematics, Basics of Electric Circuits
Textbook:	Allan V.Oppenheim, S.Wilsky and S.H.Nawab, Signals and Systems, PearsonEducation, 2007.
Other References:
Laboratory Work:	2
Computer Usage:	MATLAB
Others:	No

COURSE LEARNING OUTCOMES

1	The knowledge of how to represent signals in the time, frequency, Laplace, and Z domains.
2	The knowledge of how to perform both discrete and continuous convolution.
3	The ability to design, build, and analyze linear time invariant systems
4	Represent CT and DT systems in the Frequency domain using Fourier Analysis tools like CTFS, CTFT, DTFS and DTFT.
5	Conceptualize the effects of sampling a CT signal

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Computer Engineering (3 years) Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations.	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	4
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	3
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	5
10	Engineering graduates with well-structured responsibilities in profession and ethics.	5
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	4
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Quiz	3	8
Laboratory	1	6
Final Exam	1	40
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(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
Assignments	4	5	20
Final examination	1	15	15
Other			0
Total Work Load:			125
Total Work Load/25(h):			5
ECTS Credit of the Course:			5