Intermediate Studies in Signal Processing and Machine Learning as Free Choice Studies, At least 20 cr

Signal processing and machine learning majors are aimed for ambitious students who are interested in the cutting edge technologies of information technology and computer science. The central study fields are image, audio, speech and natural language processing, computer vision and machine learning, and robotics.

The module provides students with both strong fundamental knowledge and practical skills on the technologies covered in our courses and investigated in our research groups. Many students join our research groups during their studies.

It is possible to take this module as minor by taking all compulsory courses and the total of at least 20 credits.

The students are encouraged to personalize their study plans in which case they must confirm their courses from the module responsible persons.

• The student knows how to adopt and adapt signal processing and machine learning methods for real problems.

• The student is able to find state-of-the-art methods and adapt them to to solve practical problems.

• The student knows the tools (Matlab) and software libraries (Python) for machine learning and signal processing problems.

• The student knows how to apply machine learning and signal processing methods in audio, speech, language, imaging, vision and robotic applications.