COURSE INFORMATION Course Title: COMMUNICATION THEORY

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 348	C	99	3	0	0	3	6

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	The objective of this courses is to provide an introduction to the basic principles in the analysis and design of communication systems. It will cover a review of frequency domain analysis of signals and systems, and the characterization of random processes. The course will focus on analog signal transmission and reception, and digital communications.

COURSE OUTLINE

Week	Topics
1	Introduction to communication systems.
2	Review of Fourier series and Fourier transform.
3	Amplitude modulation (DSB-SC, DSB-LC, SSB)
4	Angle modulation 1.
5	Angle modulation 2.
6	Random process and linear systems.
7	Noise in Amplitude Modulation.
8	Noise in Angle Modulation.
9	Digital modulation PAM.
10	Two dimensional modulation.
11	Receiver structure of digital modulation with AWGN.
12	Demodulation detection and probability of error.
13	Probability of error in M-ary PAM.
14	Probability of error in M-ary QAM.

Prerequisite(s):	Signals & Systems, Linear algebra and Fundamental of Probability.
Textbook:	John G. Proakis and Masoud Selehi, Communication Systems Engineering.
Other References:	Hwei Hsu, Analog and Digital Communications, 2nd ed., Mc Graw-Hill, 2003
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Understand modulation and demodulation of analog signals.
2	Analyze the effect of additive noise in the demodulation of AM, FM, and PM signals.
3	Understand digital modulation and demodulation techniques.
4	Explain digital transmission through bandlimited AWGN channels.
5	Apply random process for communication systems.

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

No	Program Competencies	Cont.
Bachelor in Electronics and Digital Communication 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.	5
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.	4
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	4
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	4
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	4
8	Ability for effective oral and official communication skills in foreign language.	4
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	3
10	Engineering graduates with well-structured responsibilities in profession and ethics.	3
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.	3
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.	2

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	2	10
Midterm Exam(s)	1	30
Laboratory	1	10
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	4	64
Hours for off-the-classroom study (Pre-study, practice)	10	2	20
Mid-terms	1	25	25
Assignments	2	8	16
Final examination	1	25	25
Other			0
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6