Cloud technologies 1000-2M19TCH

1. Understands and knows how to design and launch services in the public cloud according to the assumed requirements.
2. Understand the basic techniques of machine learning: can implement image processing algorithms (classification and detection), data analysis (NumPy, Pandas, Scikit-Learn), building chatbots (IBM Watson Assistant).
3. Understands basic terms and mechanisms related to cybersecurity.
4. Can build a blockchain network using functions implemented in hardware in CryptoExpress7S cards

Final grade on the basis of points from individual tasks / tests (30%) and evaluation of the programming project (70%).

I. Białynicki-Birula, I.Białynicka-Birula, Modelowanie rzeczywistości – jak w komputerze postrzega się świat, Wydawnictwo WNT, Warszawa 2013
N.Gift, AI. Podejście pragmatyczne. Wprowadzenie do uczenia maszynowego opartegona chmurze, APN Promise, Warszawa 2019
S.Jansen, Machine Learning for Algorithmic Trading - Second Edition, Packt Publishing, Birmingham-Mumbai, 2020
C.Rossant, Ipython Interactive Computing and Visualization Cookbook - Second Edition, Packt Publishing, Birmingham-Mumbai, 2018

Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:

• Bachelor's degree, first cycle programme, Computer Science
• Master's degree, second cycle programme, Computer Science

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 1000-2M19TCH in USOSweb