Computer sciences, Computer Engineering, Electrical Engineering, Telecommunications

The study course will provide knowledge about real-time sensor measurement techniques, measurement, data transfer and processing technologies, and the principles of sensor networking. Students will be introduced theoretically and practically to the techniques required for mechatronics and mechanical ingeneering sensor data processing.

The aim of the course is to provide an insight into the basic procedures of quantitative information processing obtained in research results for programming engineers, using modern information technologies and learning their practical application. To give an initial idea about artificial neural networks and their application possibilities, to be able to apply the use of artificial intelligence methods in real situations.

Machine learning is the process of developing and applying predictive algorithms to predicting future outcomes using available training data. Machine learning is a corner-stone for Data science, Big Data analytics, Robotics, Natural language processing and AI in general. Course introduces students to supervised and unsupervised machine learning concepts and algorithms from basic classification to Deep Learning with artificial neural networks. As computers and GPUs become more powerful, Deep Neural Networks are gradually taking over from simpler Machine Learning methods.