Course - Information and Signal Theory - TTT4110
Information and Signal Theory
About
About the course
Course content
Signal and system representation in time and frequency domains. Sampling. Statistical signal description. Quantization and coding. Information content in signals. Digital baseband transmission.
Learning outcome
The students will learn basic theory for description of analog and digital signals and systems in time and frequency domain. The course gives also an introduction to the principles for transfer and storage of information bearing signals. Matlab-based exercises will give the students skills in use of MATLAB as a visualisation tool and strengthen their programming skills. Project work will give the students trening in application of theoretical knowledge to solution of a practical problem. The students will also get an insight into applications of signal processing.
Learning methods and activities
Lectures, exercises and project. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (70%), midterm test (15%) and project (15%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. For students with valid absence from the midterm test, the final exam will count 85%. If there is a re-sit examination, the examination form may be changed form written to oral.
Compulsory assignments
- Exercises
Recommended previous knowledge
The courses TMA4100 Calculus 1, TMA4115 Calculus 3, TMA4120/4135 Calculus 4K/D and TMA4240/4245 Statistics or equivalent knowledge.
Course materials
The course materials will be announced at the first lecture.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SIE2010 | 7.5 sp |
Subject areas
- Electronics
- Electrical Power Engineering
- Signal Processing
- Technological subjects
- Telecommunication
- Telecommunications
- Telecommunications
Contact information
Course coordinator
- Bojana Gajic
Lecturers
- Bojana Gajic