Audio-Visual Signal Processing, 30 cr
Type of the study module
Advanced Studies
Contact
Heikki Huttunen, Joni Kämäräinen, Ioan Tabus, Alessandro Foi
Learning Outcomes
| - | 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. |
Prerequisites
| 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. The necessary background is offered also when graduating from the International Degree Programme in Science and Engineering, BSc(Tech), with a major or minor subject in Information and Communications Technology. |
Content
Compulsory courses
| Course | Credit points | Class |
| SGN-21006 Advanced Signal Processing | 5 cr | IV |
| SGN-41007 Pattern Recognition and Machine Learning | 5 cr | IV |
| Total | 10 cr |
Optional Compulsory Courses
Must be selected at least 10 credits of courses
| Course | Credit points | Alternativity | Class |
| SGN-24007 Advanced Audio Processing | 5 cr | 1 | IV |
| SGN-26006 Advanced Signal Processing Laboratory | 5 cr | 2 | V |
| SGN-31007 Advanced Image Processing | 5 cr | 1 | IV |
| SGN-33007 Media Analysis | 5 cr | 1 | IV |
| SGN-81006 Signal Processing Innovation Project | 5-8 cr | 2 | V |
| TST-01606 Demola Project Work | 5-10 cr | 2 | V |
1.
Select 1 courses.
At least one of SGN-31007,SGN-24006, or SGN-33007 courses should be taken
2.
Select 1 courses.
At least one of SGN-26006, SGN-81006, or TST-01606 courses should be taken
Complementary Courses
Should be completed to the minimum study module extent of 30 ETCS
| Course | Credit points | Class |
| ASE-7450 Akustiikan perusteet | 4 cr | IV |
| ASE-7536 Model-Based Estimation | 5-7 cr | V |
| ELT-23000 Mikrokontrollerijärjestelmät | 5 cr | IV |
| ELT-23050 Sulautettujen järjestelmien tuotteistaminen | 5 cr | V |
| SGN-22006 Signal Compression | 5 cr | IV |
| SGN-25006 Vector Space Methods for Signal and Image Processing | 5 cr | |
| SGN-34006 3D and Virtual Reality | 5 cr | V |
| SGN-43006 Knowledge Mining and Big Data | 5 cr | IV |
| TIE-50406 DSP Implementations | 5 cr | IV |
| TIE-52106 Wireless Sensor Networks and Applications | 5 cr | V |
Additional information
Signal processing covers the analysis, filtering and interpretation of various types of signals, including audio, 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 following course: TST-01907 Master's Seminar (1 cr).