Information Package / Course Catalogue
Telecommunications II
Course Code: EE451
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The objective of this course is to introduce the basics of digital communication techniques. In this context, different types of digital modulation techniques will be covered. Information theoretical analysis of communication systems and channel coding techniques will be discussed as well.

Course Content

Introduction to digital communications; the sampling theorem and quantization, Pulse Code Modulation, Delta Modulation, digital modulation methods in an additive white Gaussian noise channel, introduction to information theory, channel coding techniques.

Name of Lecturer(s)
Lec. Mümtaz YILMAZ
Learning Outcomes
1.To understand the basics of digital communication techniques
2.To be able to represent information signals in digital form
3.To be able to apply different digital modulation techniques
4.To understand the fundamentals of information theory
5.To be able to apply channel coding techniques effectively
Recommended or Required Reading
1.Fundamentals of Communication Systems (2nd Edition) John G. Proakis, Masoud Salehi: Prentice Hall, 9780133354850.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to digital communication systems
Week 2 - Theoretical
The Sampling Theorem, Scalar Quantization, Vector Quantization, Encoding
Week 3 - Theoretical
Pulse Code Modulation, Differential Pulse Code Modulation, Delta Modulation
Week 4 - Theoretical
Geometric Representation of Signal Waveforms, Binary Antipodal Signaling, Binary Orthogonal Signaling
Week 5 - Theoretical
Correlation-Type Demodulator, Matched-Filter-Type Demodulator, The Performance of the Optimum Detector for Binary Signals
Week 6 - Theoretical
M-ary Digital Modulation, The Optimum Receiver, A Bound on the Probability of Error
Week 7 - Theoretical
M-ary Pulse Amplitude Modulation, Probability of Error for M-ary PAM
Week 8 - Theoretical
Phase-Shift Keying, Geometric Representation, Detection of PSK Signals, Probability of Error for PSK Modulation
Week 9 - Theoretical
Quadrature Amplitude-Modulated Digital Signals, Geometric Representation, Demodulation and Detection, Probability of Error
Week 10 - Theoretical
Frequency-Shift Keying, Demodulation, Optimum Detector, Probability of Error.
Week 11 - Theoretical
Measure of Information, Joint and Conditional Entropy, Mutual Information, Differential Entropy
Week 12 - Theoretical
The Huffman Source Coding Algorithm, Channel Capacity
Week 13 - Theoretical
Linear Block Codes, Decoding and Performance of Linear Block Codes
Week 14 - Theoretical
Convolutional Codes, Basic Properties, Maximum Likelihood Decoding of Convolutional Codes
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Individual Work140342
Midterm Examination110212
Final Examination112315
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
4
3
3
3
2
2
1
1
2
2
1
OÇ-2
4
4
3
3
2
1
1
1
1
1
1
OÇ-3
4
3
4
4
3
1
1
1
1
1
1
OÇ-4
4
4
3
3
2
1
1
1
1
1
1
OÇ-5
4
3
4
4
3
1
1
1
1
1
1
Adnan Menderes University - Information Package / Course Catalogue
2026