COURSE INFORMATION Course Title: DIGITAL DATA COMMUNICATION

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 366	B	99	2	2	0	3	6

Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:
Course Description:	-
Course Objectives:	The course serves as an introduction to the theory and practice behind many of today's communications systems. Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.

COURSE OUTLINE

Week	Topics
1	Introduction to Digital Communications Systems
2	Discrete source encoding and entropy.
3	Markov sources and Lempel-Ziv universal codes.
4	Quantization and waveform encoding.
5	Signal space, modulation and projection theorem.
6	Nyquist-Shannon sampling theorem, pulse amplitude modulation (PAM) and quadrature amplitude modulation (QAM).
7	Random process.
8	Filtering of random process.
9	Detection of random vectors and random process.
10	Complex Gaussian process and baseband detection.
11	Wireless communication.
12	Doppler spread, time spread, coherence time, and coherence frequency.
13	Discrete-time baseband models for wireless channels.
14	Detection for flat rayleigh fading and incoherent channels, and rake receivers.

Prerequisite(s):	Fundamental of Probability, Signals & Systems, Linear Algebra and Calculus 1&2.
Textbook:	Proakis, John G. Digital Communications. 4th ed. New York, NY: McGraw-Hill, 2000. ISBN: 9780072321111.
Other References:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Design of digital communication systems.
2	Mathematical foundation of decomposing the systems into separately designed source codes and channel codes.
3	Algorithm to convert continuous time waveforms into bits, and vice versa.
4	Introduction to information theory,
5	Sampling theorem.
6	Use of vector spaces in signal processing.

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

No	Program Competencies	Cont.
Bachelor in Computer 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.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	3
8	Ability for effective oral and official communication skills in foreign language.	5
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	5
10	Engineering graduates with well-structured responsibilities in profession and ethics.	2
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.	2

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	2	10
Midterm Exam(s)	1	30
Project	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	3	30
Mid-terms	1	20	20
Assignments	1	16	16
Final examination	1	20	20
Other			0
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6