Signal Processing and Machine Learning, At least 30 cr

Signal processing and machine learning are central fields in the modern information technology and computer science. Emerging applications are vast varying from visual (computer vision), speech and audio recognition to autonomous robots and cars. A related field is data engineering which means machine learning algorithms applied to large datasets from finance, security, health, biology, Internet and so on. This module provides students strong practical knowledge and expertise on the main approaches and methodologies of machine learning and pattern recognition. Moreover, the students will have hands-on experience on the most emerging applications of these: computer vision, audio and speech processing and data engineering.

It is also possible to take the module as a minor with 20 credits worth of courses (the mandatory ones in the list).

The students are encouraged to contact the responsible persons of this study module to personalize and tailor their studies.