|
MAT-51216 INFORMATION THEORY, 4 cr
|
Courses persons responsible
Stephane Foldes
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | 2 h/week | 3 h/week | - | - |
| Exercise | - | - | 1 h/week | 1 h/week | - | - |
| Exam | ||||||
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Strings and codes. Unique decipherability of variable length codes. Kraft's inequality. The Kraft-McMillan theorems. Huffman encoding. Entropy. Transmission rate and error correction rate of fixed length codes. |   |
Requirements for completing the course
Final exam plus activity points and class tests, particulars to be announced during first lecture.
Evaluation criteria for the course
Study material
| Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
| Book | Introduction to Coding and Information Theory. | Roman, S. | Springer-Verlag (-96). | Yes | English |
Prerequisites
| Code | Course | Credits | M/R |
| MAT-20500 | MAT-20500 Probability Calculus | 3 | Recommendable |
| MAT-21160 | MAT-21160 Mathematics for Algorithms | 3 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Remarks
The course is given biannually.
Correspondence of content
73121 Information Theory
| Last modified | 12.02.2007 |
| Modified by | Janne Kauhanen |