EEE5601 Digital CommunicationBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
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) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 4
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.