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Communication Systems

PÎRÎ REİS UNIVERSITY

FACULTY OF ENGINEERING

Electrical and Electronics Engineering Programme

2017 - 2018 Spring Term Course catalogue Form

Course Name : Communication Systems

Degree: Bachelor

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

EEE321

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

Thursday  15:30- 16:30

Web page

http://www.pirireis.edu.tr

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  EE-222 and  ENG-316

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

10

60

20

-

Course Description

The major topics of the course are as  follows :

  1. Introduction and  Frequency Analysis of Signals and Systems
  2. Analog Signal Transmission and Reception  (Amplitude Modulation)
  3. Analog Signal Transmission and Reception  (Amplitude Modulation)
  4. Analog Signal Transmission and Reception  (Angle Modulation)
  5. Random Processes
  6. Random Processes
  7. Random Processes
  8. Effect of noise on analog communication systems
  9. Effect of noise on analog communication systems
  10. Effect of noise on analog communication systems
  11. Information Sources and Source Coding
  12. Information Sources and Source Coding
  13. Information Sources and Source Coding

 

Course Objectives

 

The objective of this course is to provide an introduction to the basic principles in the design and analysis of communication systems.

 

Course Learning Outcomes

 
  1. Students are required to recall  frequency analysis of signals and systems concepts, particularly their mathematical modeling, and representation.
  2. Students will learn the principles of Amplitude Modulation (AM) schemes, such Double Sideband Supressed Carrier (DSB-SC), DSB with Carrier, Single Side Band (SSB), and Vestigial Side Band (VSB).
  3.  Students will be able to express  the principles and concepts related to Angle Modulation schemes, in particular, Frequency Modulation (FM) and Phase Modulation (PM).
  4. Students will be able to contrast the advantages and disadvantages of  amplitude and angle modulation schemes.
  5. Students will be required to recall their knowledge on probability and statistics, and they will also be exposed to the first principles of stochastic variables and processes.
  6. They will be able to connect the input signal to noise ratio (SNR) to the output SNR for amplitude and angle modulation systems.
  7. Students will be to compare the noise performance of modulation schemes, and they will be able to select the most appropriate modulation scheme  for a given scenario.
  8. Students will know the errors caused by quantization, and be able to calculate the quantization signalto noise ratio.
  9. They will know the principles pulse code modulation, delta modulation, and adaptive delta modulation schemes that are implemented at the source of a digital communication system.
  10. Student will know the entropy  of a message, and that the information provided by a message is related to the probability of occurence of that message.
  11. They will know and be able to contrast the methods of message compression implemented at the source  of a digital communication system.

Instructional Methods and Techniques

Books, lecture notes, and   MATLAB programming.

Tutorial Place

Classroom and  Computer  Laboratory

Co-term Condition

-

Textbook

John G. Proakis and Masoud Salehi, Communication Systems Engineering, 2/E,  Prentice Hall, International Edition, 2002.

 John G. Proakis, Masoud Salehi, and Gerhard Bauch Contemporary Communication Systems Using MATLAB, 3/E, Cengage Learning, 2013.

Other References

B. P. Lathi, Modern Digital and Analog Communication Systems, 3/E, Oxford University Press, 1998.

 Leon W. Couch, Digital and Analog Communication Systems, 7/E, Prentice Hall, 2007.

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

Simulations  will be carried out  by using  the  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

    COURSE PLAN

 

Week

 

Topics

Course Outcomes

1

Introduction / Frequency Analysis of Signals and Systems

I

2

Analog Signal Transmission and Reception

II

3

Analog Signal Transmission and Reception

II/III

4

Analog Signal Transmission and Reception

III/IV

5

Random Processes

V

6

Random Processes

V

7

Random Processes

V

8

MIDTERM EXAM

I-V

9

Effect of noise on analog communication systems

VI/VII

10

Effect of noise on analog communication systems

VI/VII

11

Effect of noise on analog communication systems

VI/VII

12

Information Sources and Source Coding

VIII/IX

13

Information Sources and Source Coding

X/XI

14

Information Sources and Source Coding

XII

 Relationship between the Course and the Electrical and Electronics Engineering Curriculum

 

 

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

1: Small, 2: Partial, 3: Full

Programme Outcomes & Course Outcomes Connectivity Matrix

Course Outcomes

I

II

III

IV

V

VI

VII

VIII

IX

X

XI

Program Outcomes

a

X

X

X

X

X

X

X

X

X

X

X

b

X

X

X

X

X

X

X

X

X

X

X

c

X

X

X

X

X

X

X

X

X

X

X

d

X

 

 

 

X

 

 

 

 

 

 

e

X

X

X

X

X

X

X

X

X

X

X

f

 

 

 

X

 

X

X

 

 

 

X

g

 

 

 

X

X

 

 

 

 

 

X

h

 

 

 

X

 

 

X

 

 

 

X

i

X

X

X

X

X

X

X

X

X

X

X

j

 

 

X

 

 

 

X

 

X

 

 

k

X

X

X

X

X

X

X

X

X

X

X

l

X

X

X

X

X

X

X

X

X

X

X

 

Prepared by

Prof. Dr. Mehmet Tahir Özden

Date

12.06.2018

Signature