Information Package

Ph.D. on Electrical and Electronics Engineering

EEM632

INFORMATION THEORY

Course Code
EEM632
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Learn entropy, relative entropy and mutual information.
  2. Learn data compression. Markov chains.
  3. Learn entropy rates, Hidden Markov models.
  4. Learn Huffman, Hamming, zero-error codes.
  5. Learn feedback capacity, differential entropy, maximum entropy
  6. Learn rate distortion theory, network information theory.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionInformation theory and its relationship with Statistics. Shannon information theory, memoryless sources and channels. Entropy and information. Data compression and coding for secure communications.
Course Contents
WEEK TOPICS
1st Week Entropy, relative entropy and mutual information. Entropy rates,
2nd Week Hidden Markov models. Markov chains.
3rd Week Data compression.
4th Week Huffman codes. Arithmetic coding.
5th Week Channel capacity. Channel coding theorem.
6th Week Zero-error codes.
7th Week Hamming codes.
8th Week Midterm Exam
9th Week Feedback capacity.
10th Week Differential entropy.
11th Week Gaussian channel, bandlimited channels.
12th Week Maximum entropy and spectral estimation.
13th Week Rate distortion theory.
14th Week Network information theory.
Recommended or Required ReadingT. M. Cover (1991), Elements of Information Theory, John Wiley;
D.J.C. Mackay (2005), Information Theory, Interference and Learning Algorithms, Cambridge.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 1 12
Quiz 2 13
Total(%) 47
Contribution of In-term Studies to Overall Grade(%) 47
Contribution of Final Examination to Overall Grade(%) 53
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 3 3
Preparation for Quiz 0 0 0
Individual or group work 14 8 112
Preparation for Final exam 1 40 40
Course hours 14 3 42
Preparation for Midterm exam 1 30 30
Laboratory (including preparation) 0 0 0
Final exam 1 3 3
Homework 2 35 70
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5 LO6
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K2 X X X X X X
K3 X X X X X X
K4 X X X X X X
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