Audio-Visual Signal Processing, 30 cr
Type of the study module
Advanced Studies
Contact
Ioan Tabus, Karen Eguiazarian, Moncef Gabbouj
Learning Outcomes
| - | After having passed this module the student learns the concepts of signal processing to be able to develop new signal processing methods, and design new products and services using signal processing methods.
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
Optional compulsory courses include a set of courses from which a subset must be taken by the students. The subset of the courses selected by the student must follow the "alternative" recommendations as specified below.
Must be selected at least 10 credits of courses
| Course | Credit points | Alternativity | Class |
| SGN-24006 Analysis of Audio, Speech and Music Signals | 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.
Select at least one of the following courses: SGN-31007,SGN-24006, or SGN-33007.
2.
Select 1 courses.
Select at least one of of the following courses: SGN-26006, SGN-81006, or TST-01606.
Complementary Courses
Should be completed to the minimum study module extent of 30 ETCS
1. 1 . This Matlab course is intended only for students who have not used Matlab in their B.Sc. studies.
Additional information
Signal processing methods are embedded in all devices and software systems in today's world (including media, health, communications, smart city, intelligent systems, virtual reality, finance, etc.). Signal processing covers the analysis, processing and interpretation of various types of signals, including audio, images, video, text and other types of meta data. 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-01906 Master's Thesis Seminar (1 cr).