Communication Systems

Course Code:

EE 354

Course Period:

Spring

Course Type:

Core

Credits:

4

Theoric:

3

Practice:

0

Laboratory Hour:

2

ECTS:

8

Prerequisite Courses:

Introduction to Digital Signal Processing

Course Language:

English

Courses given by:

Engin Maşazade

Course Objectives:

The aim of this course is to introduce students the fundamental transmitter and receiver components in a digital communication system. We develop the necessary theoretical background for the students who continue to work on technical elective communications related courses.

Course Content:

Analysis and Transmission of Signals, Amplitude modulation and demodulation, Angle modulation and demodulation, Sampling theorem, Pulse Amplitude Modulation, Quantization, Coding, Analog to Digital Conversion, Baseband Data Transmission, Intersymbol interference, Coherent Receivers.

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 4: Use of simulations, 5: Problem solving assignment, 6: Reading assignment, 7: Laboratory work, 8: Term research paper, 9: Presentation by guest

Course Evaluation Methods:

A: Written exam, B: Multiple-choice exam C: Take-home quiz, D: Experiment report, E: Homework, F: Project, G: Presentation by student

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Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
(1) Ability to define data rate in terms of sampling rate and the number of uniform quantization intervals.(knowledge)	1a, 1b, 2a, 6c, 7b	1,2,3	A
(2) Ability to distinguish Analog Communication systems in terms of their power efficiency and bandwidth requirements. (comprehend)	1a, 1b, 2a, 6c, 7b	1,2,3	A
(3) Ability to determine minimum transmission bandwidth based on Nyquist 1st criteria on zero inter symbol interference. (comprehend)	1a, 1b, 2a, 6c, 7b	1,2,3	A
(4) Ability to determine the bit error rate of a binary digital communication system. (comprehend)	1a, 1b, 2a, 6c, 7b	1,2,3	A
(5) Ability to determine the bit error rate of an M-level digital communication system. (comprehend)	1a, 1b, 2a, 6c, 7b	1,2,3	A
(6) Ability to execute fundamental communication system circuitry in a laboratory environment. (application)	5b, 6a, 7a, 7b, 7c, 7e	7	D
(7) Ability to demonstrate fundamental analog and digital modulation techniques in a computer based simulation environment. (application)	4a, 4b	4	E
(8) Ability to compare the necessary transmission bandwidth and transmission power for a specified Bit Error Rate of a M-level power efficient or bandwidth efficient digital modulation system. (analyze)	1a, 1b, 2a, 6c, 7b	1,2,3	A
(9) Ability to do a design project (take a role in a team, prepare a work plan, write project report, present the project). (synthesis)	7b, 7c, 7d, 7e, 8b, 9a, 9b, 10a	8	F, G

Course Flow

eek	Topics	Study Materials
1	Course overview, Fourier series representation of periodic signals.	Textbook
2	Properties of the Fourier Transform	Textbook
3	Amplitude Modulation	Textbook
4	Angle Modulation	Textbook
5	Sampling Theorem	Textbook
6	Quantization and PCM	Textbook
7	Nyquist’s 1. Criteria for zero ISI and Minimum Transmission bandwidth	Textbook
8	Midterm 1	Textbook
9	Probability review, Normal distribution and decision making	Textbook
10	Matched filter Receiver	Textbook
11	Bit error rate (BER) analysis for binary PAM signals.	Textbook
12	Analysis of binary PAM and M-ary PAM. Analyzing the trade-offs in terms of power, bandwidth and BER.	Textbook
13	M-QAM, MFSK, MPSK modulations	Textbook
14	Midterm II	Textbook
15	Analyzing the trade-offs of modulation schemes M-QAM, MPSK, MFSK in terms of power, bandwidth and BER.	Textbook

Recommended Sources

Textbook	B.P. Lathi and Z. Ding, Modern Digital and Analog Communication Systems, 4th edition, Oxford University Press
Additional Resources	B. Sklar, Digital Communications, 2nd edition, Prentice Hall

Material Sharing

Documents	Matlab Codes, Lab. Handouts.
Assignments	Sample Questions and their solutions
Exams

Assessment

IN-TERM STUDIES	NUMBER	PERCENTAGE
Midterms	2	40
Laboratory	7	15
Project	1	10
Total		65
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		35
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		65
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check √
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2a	Ability to identify, formulate, and solve complex engineering problems,	√
2b	Ability to select and apply proper analysis and modeling methods for this purpose.
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,
3b	Ability to apply modern design methods for this purpose.
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.	√
4b	Ability to employ information technologies effectively.	√
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.	√
6a	Ability to work efficiently in intra-disciplinary teams,	√
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,	√
7b	Knowledge of a minimum of one foreign language,	√
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,	√
7d	Ability to make effective presentations,	√
7e	Ability to give and receive clear and intelligible instructions.	√
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.	√
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.	√
9b	Knowledge on standards used in engineering practice.	√
10a	Knowledge about business life practices such as project management, risk management, change management.	√
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.
11c	Awareness of the legal consequences of engineering solutions.

ECTS

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	15	3	45
Hours for off-the-classroom study (Pre-study, practice)	15	4	60
Midterms	2	4	8
Lab. Pre-study	7	5	35
Final Exam	1	4	4
Project	14	2	28
Lab Sessions	7	2	14
Total Work Load			194
Total Work Load / 25 (h)			7.76
ECTS Credit of the Course			8

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