Mode of delivery, planned learning activities and teaching methods:
seminar – 3 hours weekly (on-site method)
Automation and Information Engineering in Chemistry and Food Industry – master (full-time, attendance method), 3. semester
Level of study:
Prerequisites for registration:
Learning outcomes of the course unit:
Students get acquainted with advanced concepts from the theory of machine learning and artificial intelligence, they can actively use artificial intelligence models to solve classification problems, especially in the field of prediction based on various input parameters.
Recommended or required reading:
Chollet, F. Deep Learning With Python. Manning Publications, 2017. 384 s. ISBN 9781617294433.
Raschka S., Mirjalili V. Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow. Packt Publishing, 2017. 622 s. ISBN 1787125939.
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.