EEE5601 Digital CommunicationBahçeşehir UniversityDegree Programs SOCIOLOGYGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
SOCIOLOGY
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 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 learn and compare major sociology perspectives, both classical and contemporary, and apply all of them to analysis of social conditions.
2) To be able to identify the basic methodological approaches in building sociological and anthropological knowledge at local and global levels
3) To be able to use theoretical and applied knowledge acquired in the fields of statistics in social sciences.
4) To have a basic knowledge of other disciplines (including psychology, history, political science, communication studies and literature) that can contribute to sociology and to be able to make use of this knowledge in analyzing sociological processes
5) To have a knowledge and practice of scientific and ethical principles in collecting, interpreting and publishing sociological data also develop ability how to share this data with experts and lay people, using effective communication skills
6) To develop competence in analyzing and publishing sociological knowledge by using computer software for quantitative and qualitative analysis; and develop an attitute for learning new techniques in these fields.
7) To identify and to have a knowledge of the theories related to urban and rural sociology and demography, and political sociology, sociology of gender, sociology of body, visual sociology, sociology of work, sociology of religion, sociology of knowledge and sociology of crime.
8) To have knowledge of how sociology is positioned as a scientific discipline from a philosophical and historical perspective
9) To have the awareness of social issues in Turkish society, to develop critical perspective in analysing these issues and to have a knowledge of the works of Turkish sociologists and to be able to transfer this knowledge
10) To have the awareness of social issues and global societal processes and to apply sociological analysis to development and social responsibility projects
11) To have the ability to define a research question, design a research project and complete a written report for various fields of sociology, either as an individual or as a team member.
12) To be able to transfer the knowledge gained in the areas of sociology to the level of secondary school.