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EQ2840 Information Theory and Channel Coding, Accelerated Program 7.5 credits

Information theory, entropy, capacity, linear block codes.

Information per course offering

Termin

Information for Spring 2025 Start 17 Mar 2025 programme students

Course location

KTH Campus

Duration
17 Mar 2025 - 2 Jun 2025
Periods
P4 (7.5 hp)
Pace of study

50%

Application code

60552

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 10

Target group

Open to all master's programmes as long as the course can be included in the programme.

Planned modular schedule
[object Object]
Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted
Contact

Mikael Skoglund

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus EQ2840 (Spring 2025–)
Headings with content from the Course syllabus EQ2840 (Spring 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course gives a basic introduction to information theory and channel coding with applications in statistics and digital communications.

Central concepts: entropy, mutual information, asymptotic equipartition principle and entropy for stochastic processes, data compression, source coding, channel capacity, channel coding, capacity for specific channel models with focus on discrete and Gaussian models, finite field theory, analysis and design of algebraic channel codes and network theory.

Formats: The course is presented in a series of eight seminars.

Intended learning outcomes

After passing the course, the student shall be able to

  • give an introduction to the historical development and importance for the modern society of the subject
  • explain the basic principles and theoretical concepts that form the basis for information theory
  • formulate a mathematical model that is applicable and relevant for a given problem in the area
  • use a given or individually formulated mathematical model for solving a given technical problem in the area and analyse the result and its reasonableness
  • compare different algorithms and encoding techniques, put different techniques against one another and assess the suitability of individual techniques in different situations
  • account for how information theoretical upper and lower bounds are formulated and proven.

Literature and preparations

Specific prerequisites

Knowledge in signal theory, 6 higher education credits, equivalent completed course EQ1220/EQ1270.

Recommended prerequisites

Signals and systems corresponding to EQ1100 Signals and Systems
Stochastic processes and signal theory corresponding to EQ1220/1240/1260 Signal theory

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • TEN1 - Examination, 7.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Examination is a take-home examination including oral reporting.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Electrical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted

Contact

Mikael Skoglund

Supplementary information

Given every second year. Given period 4 08/09.