Course syllabus

Information Theory

EITN45, 7,5 credits, A (Second Cycle)

Valid for: 2023/24
Faculty: Faculty of Engineering, LTH
Decided by: PLED C/D
Date of Decision: 2023-04-18

General Information

Main field: Communication Systems.
Elective for: C4-ks, C4-sec, D4-ns, E4-ks, F4, MFOT1, MWIR1, Pi4-ssr, MMSR1
Language of instruction: The course will be given in English


The aim of this course is to give the students knowledge of principles for information storage and transmission of information, and the use of binary representation of information. The course also gives knowledge of the performance and fundamental boundaries of todays and tomorrows communication systems.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must


The definition of information goes back to Shannons landmark paper in 1948. His theory of how information can be processed is the basis of all efficient digital communication systems both today and tomorrow. This course provides an up-to-date introduction to topic information theory. The course emphasizes both the formal development of the theory and the engineering implications for the design of communication systems and other information handling systems. The course includes:

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Hand in problems and home exam.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Code: 0118. Name: Information Theory.
Credits: 5. Grading scale: TH. Assessment: Hand in exam Contents: Examination for the theoretical part of the course
Code: 0218. Name: Hand in problems.
Credits: 2,5. Grading scale: UG. Assessment: Hand in problems Contents: Applications of the theory in terms of data compression and channel coding


Assumed prior knowledge: Basic course in probability theory, ETT051/EITG05 Digital Communications
The number of participants is limited to: No
The course overlaps following course/s: EIT080

Reading list

Contact and other information

Course coordinator: Michael Lentmaier,
Course homepage: