EEE5601 Digital CommunicationBahçeşehir UniversityDegree Programs ECONOMICS AND FINANCEGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ECONOMICS AND FINANCE
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 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) Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. 3
2) Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. 2
3) Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. 1
4) Analyze the interventions of politics to the economics and vice versa. 3
5) Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. 2
6) Understand current and new economic events and how the new approaches to the economics are formed and evaluating. 2
7) Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. 3
8) Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. 2
9) Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. 2
10) Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. 3