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
FEO3210 Information Theory 12.0 credits

Information per course offering
Information for Spring 2025 Start 14 Jan 2025 programme students
- Course location
KTH Campus
- Duration
- 14 Jan 2025 - 16 Mar 2025
- Periods
- P3 (12.0 hp)
- Pace of study
100%
- Application code
61301
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- No information inserted
- Planned modular schedule
- No information inserted
- Schedule
- Schedule is not published
- Part of programme
- No information inserted
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FEO3210 (Spring 2019–)Content and learning outcomes
Course contents
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”
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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.
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.