IT&AI
Duration: 2 weeks |
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Dates: July 8 — July 22, 2024 |
Application Deadline: April 15, 2024 |
Tuition Fee — 500$ (USD) |
Service Fee* — 500$ (USD) |
Minimum number of people in a group: 15+ |
*Fees include: Trainings and lectures, Certificates, Souvenirs and certificates, Accommodation, Meal (breakfasts, lunches and dinners), Airport transfer (Ekaterinburg), Culture activities, Buddy System support, Russian language classes
Please pay attention, that program will be conducted offline. After all lists of participants are completed and approved, our team prepares Visa invitations and sends it to your university by mail.
Program Outline
The course Information Technologies & Artificial Intelligence is one of the most relevant and promising areas in the modern world. In this track, students gain knowledge and skills in software development, database creation and management, and learn the fundamentals of artificial intelligence and machine learning.
Main units:
concepts and tools (process modeling, UML notations, performance analysis, process optimization and automation)
You will learn: Basic BPM concepts and tools.
Process modeling, UML notations, performance analysis, process optimization and automation.
Provides students with a deep understanding of the principles and methods of managing business processes in organizations. During the course, students will learn basic BPM concepts and tools such as process modeling, UML notations, performance analysis, process optimization and automation.
E-commerce, digital marketing, business models, and strategies for startups.
This course designed to provide students with an understanding of the fundamentals of e-business and entrepreneurship.
The course covers topics such as e-commerce, digital marketing, business models, and strategies for startups.
Students will learn how to identify opportunities, develop business plans, and manage modern businesses.
HTML, CSS, JavaScript, databases, and server-side programming
This course designed to provide students with the necessary skills and knowledge to create and maintain modern web applications.
The course covers a wide range of topics, including HTML, CSS, JavaScript, databases, and server-side programming.
Data collection, storage, processing, and visualization.
The course provides students with an understanding of the fundamentals of big data analytics and its applications in business. The course covers topics such as data collection, data storage, data processing, and data visualization. Students will learn how to analyze large datasets to extract valuable insights and make informed business decisions. The course also emphasizes the importance of data privacy, security, and ethics in the context of big data analytics. By the end of the course, students will have the necessary skills to apply big data analytics in various business domains.
Prerequisites
To successfully master the course, we highly recommend you to have basic knowledge of the Python programming language and the basics of higher mathematics.
Partner companies
Marina Medvedeva
Associate professor, Department: Big data analytics and video analysis methods, Engineering School of Information Technologies, Telecommunications and Control Systems
Created / Updated: 10 February 2023 / 25 March 2024
© Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»
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Postal address
Ural Federal University
620002, 5 Sofyi Kovalevskoi street, Ekaterinburg, Russia
Office No. T-812
Department of International Educational Programs
For General Inquiries
Tel.: +7(343)375-46-89, +7(343)375-93-59
E-mail: application@urfu.ru
Head of Department Of International Educational Programs, Mrs. Yana Vysotskaia (Ajmasheva)
Tel.: +7(343)375-46-89
E-mail: ajmasheva.yana@urfu.ru