Course Name : Signals and Systems

Degree: Bachelor

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

EEE222

3/1 (Spring)

4

6

3

1

1

Department

Electrical and Electronics Engineering

Instructors

Prof. Dr. Mehmet Tahir Özden

Contact Information

e-mail: mtozden@pirireis.edu.tr/ Phone: X 1249

Office Hours

Wednesday  15:30- 16:30

Web page

http://www.pirireis.edu.tr

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  EE-211 and  ENG-215

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

40

60

-

-

Course Description

The major topics of the course are as  follows :

1. Continuous-time and discrete-time signals.
2. Basic system properties.
3. Linear time invariant systems (LTI), and convolution sum and integral.
4. Fourier series representation of periodic signals.
5. Continuous and discrete-time Fourier transform.
6. Sampling.
7. Laplace transform and its application to the analysis of LTI systems.

Course Objectives

The objective of this course is to introduce an analytical framework for signals and systems that arise in a rich variety of contexts by providing their mathematical description and representations.

Course Learning Outcomes

1. Students learn basic continuous and discrete-time signals, their mathematical modeling and representation.
2. Student will be able to mathematically model systems, and determine their properties, whether they are linear, time-variant, causal, stable, and invertible.
3. Students will be able mathematically connect the input and output of a system, particularly, they will be able to establish this connection for the linear time -invariant (LTI) systems by means of convolution operation.
4. They will be able to analyze the frequency content of a periodic signal by Fourier series expansion.
5. Student will be able to analyze signals and systems in in frequency domain by means of Fourier transformation.
6. They will know the sampling of continuous-time signals, as well as the reconstruction of sampled signals to the original continuous-time form.
7. Students will be able analyze stable as well as unstable systems using Laplace transformation.

Instructional Methods and Techniques

Books, lecture notes, and MATLAB programming.

Tutorial Place

Classroom and  Computer  Laboratory

Co-term Condition

-

Textbook

Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab, Signals and Systems, 2/E, Prentice Hall, International Edition, 1997.

John R. Buck, Michael M. Daniel and Andrew C. Singer, Computer Explorations in Signals and Systems Using Matlab, 2/E, Prentice Hall, 2002.

Other References

Hwei Hsu, Schaum's Outline of Signals and Systems, 3/E,   McGraw-Hill Education, 2013.

Homework & Projects

Homework assignments will be given weekly.

Laboratory Work

Computer Laboratory work will be carried out one class hour per week, and then students will be required to complete the report related to their work in the class room.

Computer Use

Simulation of signals and systems through the use of MATLAB program.

Other Activities

-

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

Midterm

1

30

Quiz

Homework

13

15

Term Paper/Project

Laboratory Work

13

15

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

40

TOTAL

100

Effects of Midterm on Grading, %

30

Effects of Final on Grading, %

40

TOTAL

100

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

13

3

39

Midterm

1

3

3

Quiz

Homework

13

4

52

Term Paper/Project

Laboratory Work

13

4

52

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

3

3

Total Workload

149

Total Workload/25

149/25

Course ECTS Credits

5.96 » 6.0

Week

Topics

Course Outcomes

1

Signals and   Systems

I-II

2

Signals and   Systems

I-II

3

Linear Time-Invariant Systems

III

4

Linear Time-Invariant Systems

III

5

Fourier Series Representation of Periodic Signals

IV

6

Fourier Series Representation of Periodic Signals

IV

7

The Continuous-Time Fourier Transform

V

8

MIDTERM EXAM

I-V

9

The Continuous-Time Fourier Transform

V

10

The Discrete-Time Fourier Transform

V

11

Sampling

VI

12

The Laplace transform.

VII

13

The Laplace transform.

VII

14

The Laplace transform.

VII

Programme Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering.

X

b

An ability to design and conduct experiments, as well as to analyze and interpret data.

X

c

An ability to design a system, component or process to meet desired needs.

X

d

Ability to function on multi-disciplinary teams.

X

e

An ability to identify, formulate, and solve engineering problems.

X

f

An understanding of professional and ethical responsibility.

X

g

An ability to communicate effectively.

X

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context.

X

i

A recognition of the need for, and an ability to engage in life-long learning.

X

j

A knowledge of contemporary issues.

X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice.

X

l

An ability to apply engineering knowledge in Electric and Electronics.

X

Course Outcomes

I

II

III

IV

V

VI

VII

Program Outcomes

a

X

X

X

X

X

X

X

b

X

X

X

X

X

X

X

c

X

X

X

X

X

X

X

d

X

X

X

X

e

X

X

X

X

X

X

X

f

X

X

g

X

X

X

X

X

X

X

h

X

X

X

X

i

X

X

X

X

X

X

X

j

X

X

k

X

X

X

X

X

X

X

l

X

X

X

X

X

X

X

Prepared by

Prof. Dr. Mehmet Tahir Özden

Date

12.06.2018

Signature