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

Signal processing and machine learning minor is intended 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 basic knowledge and practical skills on signal processing and machine learning. Depending on the choice of elective courses, the module also provides applied knowledge on audio, speech, image, and video processing and on statistical methods. Module courses also act as prerequisites for advanced studies in Signal Processing and Machine learning (master's level major module), and thereby the module is recommended for students who consider changing to signal processing and machine learning for their master's degree. Many students also join our research groups during their studies.

The module is intended for BSc study programs other than Computing and Electrical Engineering.

• 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 from the literature 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.