COURSE SYLLABUS

SIGNALS AND SYSTEMS I

1	Course Title:	SIGNALS AND SYSTEMS I
2	Course Code:	EEM2401
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	3
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. ERDOĞAN DİLAVEROĞLU
16	Course Lecturers:	Prof. Dr. Erdoğan Dilaveroğlu Yrd. Doç. Dr. Ersen Yılmaz
17	Contactinformation of the Course Coordinator:	Prof. Dr. Erdoğan Dilaveroğlu E-mail: dilaver@uludag.edu.tr Tel: (224) 294 2012 Elektrik-Elektronik Müh. Böl., 3. Kat, 324.
18	Website:
19	Objective of the Course:	Giving to the students the fundamentals of the signals and systems area of electrical engineering. Also, preparing the students to some higher level courses in such areas of signal processing, circuits, communication and control.
20	Contribution of the Course to Professional Development

Learning Outcomes:

1	Describe signals mathematically and perform mathematical operations on signals.;
2	Be familiar with commonly used signals such as sinusoidal signals, complex exponentials, the impulse and step functions, and classify signals as continuous-time or discrete-time, as periodic and non-periodic, as energy or power signals, and as having even or odd symmetry.;
3	Understand various system properties such as causality, time-invariance, linearity and stability.;
4	Understand the convolution sum and the convolution integral operations and their implication for analysis of linear time invariant systems.;
5	Compute the Fourier series (and its inverse) of periodic continuous time and discrete time signals from definitions and using the properties of the Fourier series.;
6	Compute the Fourier transform (and its inverse) of continuous time signals from definitions and using the properties of the Fourier transform.;
7	Understand the intuitive meaning of frequency domain and the importance of analyzing and processing signals in the frequency domain.;
8	Understand the application of Fourier analysis to ideal filtering.;
9	Use basic mathematics including calculus, complex variables and algebra for the analysis and design of linear time invariant systems used in engineering.;

22	Course Content:

Week	Theoretical	Practical
1	Presentation and organization of the course. Mathematical review: Complex numbers.
2	Mathematical review (continued): Polar representation of complex numbers and the triangle inequality. De Moivre's Theorem and roots. The complex exponential, Euler's formula.
3	Continuous and discrete time signals, exponential and sinusoidal signals, impulse and step functions.
4	Continuous and discrete time systems, basic system properties.
5	Linear and time invariant (LTI) discrete time systems: The convolution sum.
6	LTI continuous time systems: The convolution integral.
7	Properties of LTI systems, difference and differential equations.
8	Review and discussion of solutions to homework problems.
9	Continuous and discrete time Fourier series representation of periodic signals.
10	Properties of continuous and discrete time Fourier series. Fourier series and LTI systems, filtering.
11	Review and discussion of solutions to homework problems.
12	Derivation of the continuous time Fourier transform.
13	Properties of the continuous time Fourier transform, convolution and multiplication properties.
14	Review and discussion of solutions to homework problems.

23	Textbooks, References and/or Other Materials:	Signals and Systems, Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab, 2nd edition, (Prentice Hall, 1997).
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High