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FEO3210 Information Theory 12.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FEO3210 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

entropy and mutual information, the asymptotic equipartition principle, entropy for stochastic processes (entropy rate), introduction to data compression and source coding, channel capacity and coding for noisy channels, capacity for different channel models (with emphasis on discrete memoryless channels and Gaussian channels), finite field theory, design and analysis of error correcting codes (with a focus on linear block codes), introduction to network information theory

Intended learning outcomes

After the course, the student should be able to:

  • describe the general principles of information theory
  • explain fundamental concepts such as entropy, mutal information, capacity, compression, coding theorem, coding and codes, basic algebraic coding theory
  • formulate and prove the most fundamental coding theorems
  • design a linear code that meets given requirements on rate and minimum distance
  • explain how information theory and coding contributes to modern communications technology
  • solve advanced problems in the area
  • do research using tools from information theory

Literature and preparations

Specific prerequisites

Mandatory Prerequisites

·        Signals and systems corresponding to EQ1100 “Signaler och System”

·        Stochastic processes and signal theory corresponding to EQ1220 “Signalteori”

Recommended

·        Digital communications corresponding to EQ2310 “Digital Communications”

Recommended prerequisites

Mandatory Prerequisites

·        Signals and systems corresponding to EQ1100 “Signaler och System”

·        Stochastic processes and signal theory corresponding to EQ1220 “Signalteori”

Recommended

·        Digital communications corresponding to EQ2310 “Digital Communications”

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

P, F

Examination

  • EXA1 - Examination, 12.0 credits, grading scale: P, 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.

Other requirements for final grade

The main focus is on homework problems. Each assignment (set of homework problems) will be graded according to (thresholds given are approximate):

-1: less than 5% of assignment solved correctly

 0: between 5% and 40% of assignment solved correctly

 1: between 40% and 80% of assignment solved correctly

 2: more than 80% of assignment solved correctly

There are 11 assignments in total, and the threshold for receiving grade ”Pass” is 15 points. An additional requirement to receive grade ”Pass” is to review and present a journal paper in the field.

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

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted

Contact

Mikael Skoglund

Postgraduate course

Postgraduate courses at EECS/Information Science and Engineering