LOGISTIC MANAGEMENT
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
EEE5601	Digital Communication	Spring Fall	3	0	3	12

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Assoc. Prof. SAEID KARAMZADEH
Recommended Optional Program Components:	None
Course Objectives:	AWGN kanal için bazı modülasyon/demodülasyon tekniklerini, temel sezim kuramını ve performans analizinin metodlarını detaylarıyla anlamak.

Learning Outcomes

The students who have succeeded in this course;
1. Describe digital communications,

2. Explain signal space representation,

3. Describe digital modulation schemes,

4. Gain knowledge noise calculations,

5. Understand single-user detection theory.

Course Content

This course starts with reviewing concepts of sampling, quantization and encoding. Then, it moves to source and channel coding, signal space representation, and digital modulation schemes. Upon visiting digital demodulation schemes, performance analysis of different schemes are carried out. In the second half of the course, basic estimation and detection techniques are introduced. Finally, the course ends with fading channel analysis.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	General model for a digital communication system
2)	Source and channel coding
3)	Signal Space Representation
4)	Digital modulation schemes, M-QAM
5)	Performance considerations, Bandwidth considerations, Practical considerations
6)	(Phase) noncoherent detection principles
7)	Differential detection, System constraints and trade-offs
8)	Comparison and discussion of previously mentioned methods. Midterm exam.
9)	General Concepts of Detection Theory, Bayesian Decision Theory
10)	The Likelihood Ratio Test and Its applications
11)	Optimal binary detection for the Gaussian vector channel
12)	Optimal detection for M-ary hypothesis tests
13)	BER calculations
14)	Introduction to fading channels

Sources

Course Notes / Textbooks:	Proakis, Digital Communications, Fourth Edition, McGraw Hill
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 30
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 30
PERCENTAGE OF FINAL WORK		% 70
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Workload
Course Hours	14	42
Project	4	50
Midterms	9	60
Final	4	48
Total Workload		200

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To correctly identify the problems and to be able to ask the correct questions
2)	To have the ability for problem solving and to utilize analytical approach in dealing with the problems
3)	To be able to identify business processes and use them to increase the productivity in logistics system.
4)	To be fully prepared for a graduate study	2
5)	Awareness of the new advancements in Information and Communications Technologies (ICT) and to be able to use them in logistics management effectively. internet and the electronic world
6)	To understand the components of logistics as well as the importance of the coordination among these components.
7)	To know the necessary ingredients for improving the productivity in business life
8)	To think innovatively and creatively in complex situations	4
9)	To act and think both regionally and internationally
10)	To understand the demands and particular questions of globalization
11)	Aware of the two way interaction between globalization and logistics; as well as to use this interaction for increasing the productivity.
12)	To be able to use at least one foreign language both for communication and academic purposes	2
13)	To acquire leadership qualities but also to know how to be a team member
14)	To understand the importance of business ethics and to apply business ethics as a principal guide in both business and academic environment