COURSE INFORMATION Course Title: DIGITAL DATA TRANSMISSION

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 334	C	99	3	0	0	3	6

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	This course present the basic principles that underlie the analysis and design of digital data transmission. The subject of digital communications involves the transmission of information in digital form from a source that generates the information to one or more destinations. In the first part the fundamental concepts are introduced and the theory is developed. The second part analyzes the most commonly used numerical modulations. Brief discussions on multi-carrier communications (OFDM), spread spectrum communications, digital communications through multipath fading channels, and introduction to equalization methods will be included, if time permits.

COURSE OUTLINE

Week	Topics
1	Introduction to Digital Communications Systems
2	Signal constellation and Hamming space. Binary labeling.
3	Signal modulation and signal space representation.
4	Vector representation of signals.
5	Modulator structure.
6	Review of probability and random process.
7	Introduction to decision theory.
8	Correlation and match filter receiver.
9	Probability of error M-PAM.
10	Error probability of M-QAM.
11	Nyquist second theorem for No InterSymbol Interference (ISI).
12	Review of Hilbert transform, analytical and complex envelope signal. Wiener Theorem.
13	Introduction to OFDM modulation.
14	MIMO-OFDM.

Prerequisite(s):	Signals & Systems and Fundamental of Probability.
Textbook:	John G. Proakis and Masoud Salehi, Digital Communications, 5th edition, McGraw-Hill International Editions, 2008.
Other References:	Wozencraft Jacobs "Principles of Communication Engineering" John Wiley and Sons Proakis Salehi "Communication Systems Engineering" Prentice Hall Benedetto Biglieri "Principles of Digital Transmission with Wireless Applications" Kluwer Academic / Plenum Publishers Sklar "Digital communications" Prentice-Hall
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Ability to utilize the signal space concept in representing digitally modulated signals.
2	Ability to apply characterization of narrowband signals, noise, and systems in analyzing communications systems .
3	Ability to derive spectral characteristics of digitally modulated signals.
4	Ability to design M-ary PAM, PSK, QAM modulation schemes.
5	Ability to analyze and design optimum demodulators.
6	Ability to analyze and design optimum detectors.
7	Ability to evaluate error rate performance.
8	Ability to choose proper modulation schemes.
9	Ability to apply bandlimited signal designs.
10	Ability to design communication link budget.

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.	5
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.	3
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.	2
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.	1

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)	12	2	24
Mid-terms	1	22	22
Assignments	1	8	8
Final examination	1	32	32
Other			0
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6