Signal Processing, 30 cr
Type of the study block
Jaakko Astola, Tapio Saramäki, Anna-Mari Viitala, Joni Kämäräinen, Ioan Tabus, Ari Visa, Karen Eguiazarian, Serkan Kiranyaz, Anssi Klapuri, Ireneusz Defee, Moncef Gabbouj
|-||After having passed this module the student
knows the concepts of signal processing so well that he can explain them, he can develop signal processing methods further and he can innovate products based on signal processing.
|-||The student can analyze measurement signals so that he can determine the characteristics of a digital filter to reach the wanted goal.|
|-||The student knows the methods of image and video processing deeply.
|-||The student can design signal interpretation systems.
|-||The student can follow the literature of the field and apply signal processing methods found from the literature and adapt it to the task at hand.
|Study block||Credit points||Mandatory/Advisable||Additional information|
|25 cr||Mandatory||As the international students have not passed the B.Sc. level study module of signal processing in TUT, they should have passed similar courses in their B.Sc. studies or be prepared to pass these courses in TUT. The prerequisite courses should be checked from the descriptions of the individual courses of this study module.|
|SGN-21006 Advanced Signal Processing||5 cr||IV|
|SGN-31006 Image and Video Processing Techniques||6 cr||IV|
|SGN-41006 Signal Interpretation Methods||4 cr||IV|
Optional Compulsory Courses
Must be selected at least 5 credits of courses
|SGN-26006 Advanced Signal Processing Laboratory||5 cr||V|
|SGN-81006 Signal Processing Innovation Project||5-8 cr||V|
|TST-01606 Demola Project Work||5-10 cr||V|
Should be completed to the minimum study module extent of 30 ETCS
Signal processing covers the analysis, filtering and interpretation of various types of signals, including images and video. Signal processing methods are often embedded in devices and some software systems. It is advisable to obtain good programming skills in order to be able to apply signal processing methods to such systems. Co-operation with other developers requires also communication, presentation and negotiation skills, as well as project management and leadership skills. The industry is interested in innovative engineers and therefore all self-invented hands-on experimentation with signals and images is highly advisable. Aside from the courses listed, to complete this major, the students are required to complete the two following courses (either finnish or english versions): Finnish: TST-01300 Diplomityöseminaari (1cr) and TST-01400 Diplomityöseminaariesitys (0 cr) or English: TST-01306 Master's Thesis Seminar (1cr) and TST-01406 Master's Thesis Seminar Presentation (0 cr)