Author
E-mail: gyroalex@ukr.net mobile +38 050 711 29 36
Join to elective course: Introduction to a Cloud Computing in Microsoft Azure.
The first lesson will be held on 21 September 2016 in 19-00 at the room 308 of 35 campus.
Field of Activity: Intellect decision-making systems, systems analysis
Facultative Aim: To prepare the engaged students to independent learning of modern cloud computing technologies and their practical usage.
Facultative tasks: To acquaint the engaged students with modern technologies of information processing on the basis of Microsoft Azure Cloud Platform; to show them practical operation in Microsoft Azure; to impart them necessary skills in usage of cloud computing through independent solution of educational and laboratories tasks; to give them manual for the further independent learning cloud computing with the purpose of their practical usage.
Target audience:
The information technologies studying students and persons it is necessary for them to handle the large information content (*).
(*) under information processing is understood its analysis, selection of necessary interrelations between the processed data and processes that interesting for customers and outputting to customers of answers to the questions that put by him; reporting to customers about the detected patterns of relationship which have been not stipulated by the task of research, but able to be of interest for the task solution.
The training period and quantity of lessons:
September – December 2016. 12 lessons in 1,5 hour.
Inspected performance:
Solution of the offered task on data processing
The used software:
Microsoft Azure
The topics of the studied material:
1. Introduction in cloud technologies – 1 lecture
2. What is Microsoft Azure: particular applications – 1 lecture
3. Creation and learning of the Microsoft Azure virtual machine operation– 2 lessons
4. Microsoft Azure Machine Learning – 2 lessons
5. Deploying a Predictive Model with Azure Machine Learning (AML) – 2 lessons
6. Azure Stream Analytics (ASA) – 2 lessons
7. Sentiment analysis using ASA and AML – 2 lessons
Note: : Depending on mastering a teaching material changes in themes are possible