Prerequisites for registration:
Recommended or required reading:
BRADLEY, Neil. The XML companion. Addison-Wesley Professional, 2002.
GRUS, J.: Data Science from Scratch: First Principles with Python, ISBN 978-1491901427, O'Reilley
Planned learning activities and teaching methods:
Lectures - 13 h
Exercises - 39 h
Preparation for lectures and exercises (study of literature, programming) - 20 h
Work on assignments - 24 h
Preparation of the final project - 29 h
Assesment methods and criteria:
Evaluation of continuous work at exercises contributes by 50% to the final grade. The remaining 50% can be earned by completing and defending the final project. The rating is based on the standard FCHPT scale.
Language of instruction:
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.