|
Opinto-opas 2010-2011
Signal Processing, 30 cr |
Type of the study block
Major Studies
Contact
Ioan Tabus
Learning outcomes
- | Majoring in Signal Processing deepens the student’s theoretical and practical skills of analysing signals and designing signal processing methods and systems, especially for one of the major application areas of signal processing. Advanced studies in signal processing teach the student to independently select the optimal signal processing methods when confronted with a new kind of signal processing problem. The goal is to train the students to design hardware and software for signal processing systems. |
- | Basis for doctoral studies in the future. |
Prerequisites
Study block | Credit points | Mandatory/Advisable |
25 cr | Mandatory |
Content
Compulsory courses
Course | Credit points | Class |
SGN-1656 Signal Processing Laboratory | 5 cr | |
SGN-1986 Signal Processing Thesis Seminar | 1 cr | I |
SGN-1996 Signal Processing Thesis Seminar Presentation | 0 cr | |
SGN-2016 Digital Linear Filtering I | 5 cr | |
Total | 11 cr |
Alternative studies
At least 15 credits worth of courses must be selected from the list of optional courses.
Must be selected at least 15 points of courses
Supplemental courses
Please select courses from the list to complete the study block`s requirement (30)
Additional information
Signal processing and its applications are playing an increasingly important role in our everyday lives. Smart phones, MP3 players, DVD players and digital TV broadcasting are just a short excerpt from a long and continuously developing list of applications based on advanced signal processing methods. The Signal Processing major subject's courses deal with processing and interpreting digital signals in the wide sense of their information content. The mathematical basis of signal processing methods and algorithms is particularly emphasised. Key application areas of these algorithms comprise telecommunications, instrumentation and automation, as well as various kinds of speech, audio, image and video representation, compression, processing and delivery. The student can complete only one of the three advanced study modules in Signal Processing (Computational Systems Biology, Multimedia or Signal Processing).