COURSE SYLLABUS

SIGNALS AND SYSTEMS II

1	Course Title:	SIGNALS AND SYSTEMS II
2	Course Code:	EEM2404
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	4
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	Compute the Fourier transform (and its inverse) of discrete time signals from definitions and using the properties of the Fourier transform.;
2	Understand the relation and trade-offs between time domain and frequency domain characteristics in system design and analysis.;
3	Understand the application of Fourier analysis to sampling.;
4	Process continuous time signals by first sampling and then processing the sampled signal in discrete time.;
5	Compute the Laplace transform (and its inverse) of continuous time signals from definitions and using the properties of the Laplace transform.;
6	Compute the z transform (and its inverse) of discrete time signals from definitions and using the properties of the z transform.;
7	Find a state space representation of a system from a block diagram and vice versa.;
8	Develop basic problem solving skills and become familiar with formulating a mathematical problem from a general problem statement.;
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. A brief summary of the Signals and Systems I course.
2	Derivation and properties of the discrete time Fourier transform.
3	Convolution and multiplication properties of the discrete time Fourier transform.
4	Time and frequency characterization of signals and systems.
5	Review and discussion of solutions to homework problems.
6	The Sampling Theorem, reconstruction, aliasing.
7	Discrete time processing of continuous time signals.
8	Review and discussion of solutions to homework problems.
9	Definition of the Laplace transform, the region of convergence, the inverse Laplace transform.
10	Properties of the Laplace transform, analysis of LTI systems using the Laplace transform.
11	Review and discussion of solutions to homework problems.
12	Definition of the z transform, the region of convergence, the inverse z transform.
13	Properties of the z transform, analysis of LTI systems using the z transform.
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