Data Engineering And security
winter school

About the School

DES is not just an IT school but a true center of innovation at the Ivan Franko National University of Lviv. Every year, all interested students from all over Ukraine gather here to gain new knowledge from leading IT experts. DES offers an opportunity to delve into the world of up-to-date technology, unlock your potential, and receive skills that open doors to exciting projects and career heights.

Our objective is to introduce as many young people as possible to the perspectives and new opportunities in the IT industry. Thanks to accessible and high-quality information, our students, with the help of specialists from famous IT companies, can not only gain knowledge but also reinforce it through practice.

During such difficult times for the country, the support and development of such projects is a direct contribution to the intellectual potential of the young generation and, consequently, to the technical development of Ukraine.

The school curriculum focuses on the in-depth study of core innovative educational programs:

121. Software Engineering

121. High-Performance Computing

125. Cybersecurity and Information Protection

112. Statistics. Data Analysis

Experience DES 2020-2024

Map of Last Year’s Participants

Participant Profile DES

Sofiya Dovhanych

2nd-year student
Faculty of Mechanics and Mathematics
English level: Upper Intermediate

Maks Fyk

3rd-year student
English level: Intermediate

Audience for disseminating information about DES and its partners

Join Us in 2025!

Duration: January 20 - February 2, 2025

Format: Online/ possible in-person meetings

Features: Two parallel study streams (Core A - first and second students; Core B - for participants with IT experience, including third- and fourth-year students).

Course Structure: Two parallel learning streams (Core A - 1st and 2nd-year students; Core B - participants with IT experience, including 3rd and 4th-year students).

School Language: Ukrainian/English

Target Audience: Students of technical specialties in Ukraine and abroad.

Topics: Software development, Soft Skills, Mobile development, Web development, High-performance computing, Databases & Data warehouses, Cloud services and technologies, Cloud computing, Big Data, Data analysis & Data processing, Machine & Deep Learning, Machine Learning toolchain, Advanced Мachine Learning, Generative AI, Real-world AI applications, Application of AI in cyber security and data processing, Virtual reality, Metaverse, Digital twins, Artificial Intelligence of Things, Cyber Security.

Our contacts: marketing@lnu.edu.ua

"The future belongs to those who can not only adapt to change but also shape its direction." — Tim Berners-Lee, inventor of the World Wide Web.

School Topics

Soft Skills

Communication
Collaboration and teamwork
Time management and organization
Empathy / Emotional intelligence
Owning up to errors
Problem solving and creativity
People skills and management
Innovation
Analytical thinking

Software Development

C, C++, Java, Go, Python
Digital Immune System
Superapps
Platform Engineering
AI Code Generation, Copilot
Decentralized applications, Web3
Version Control Systems: Git, Data Version Control (DVC), etc.

Mobile Development

Native development for Android and iOS
Cross-platform development using Flutter, Qt
Kotlin Multiplatform for Cross-Platform Mobile Development
React Native for mobile
Integration of artificial intelligence systems in mobile development
Distribution of mobile applications

Web Development

Web development using Flask / Django, React.js, etc.
Authentication methods for web services
Organization of infrastructure and deployment of web services
Web analytics, Social network analysis, Crawlers, analytical platforms
Integration of artificial intelligence systems in web development

JavaScript

High-performance computing

High-Performance Computing

Fundamentals of parallel, hybrid and distributed computing
Getting Started with Jetson Xavier NX Developer Kit
Getting started with Google Coral's TPU USB Accelerator or/and Google Coral Development Board

Databases & Data Warehouses

Relational, non-relational, distributed databases
Data warehouse, ETL, Data Workflows
NoSQL: Key-Value, Column-based, Document-based, Graph databases
Database usage for Data Science, Data Analysis and Machine Learning

Cloud Services and Technologies

Amazon Web Services
Google Cloud Platform
MS Azure

Advanced Machine Learning

Management systems of artificial intelligence
Enhanced intelligence WIPO Technology
End-to-end Machine learning projects/models to solve practical problems
Adaptive AI
AI Trust, Risk and Security Management (AI TRiSM)
AutoML
Multi-modal learning
Democratized AI
Generative AI
Generative models, text and speech generation, artificial art

Big Data

Big data frameworks: Spark, Kafka, Hadoop, Databricks
Big Data in AWS
Big Data in GCP
Big Data in Azure
Big Data Visualization

Data Analysis & Data Processing

Data analysis, Data analytics, Statistical data analysis, Predictive Analytics
Business analytics, Web analytics, Biostatistics, Time Series Analysis
Crawlers
Optimization tasks
Recommender systems
Data processing and data visualization
Data mining: RapidMiner, Weka
Analytics platforms: Microsoft Power BI, Tableau, SAP Analytics

Machine & Deep Learning

Machine and deep learning, Neural networks
Supervised Learning
Reinforcement Learning
Unsupervised Learning
Data sources (Kaggle, etc.)
ML Hubs (Hugging Face, etc.)
CV, Image recognition and classification
NLP, Speech recognition, Audio recognition, Text recognition
Emotion detection, Pose detection
Deep learning for forecasting
Machine Learning toolchain
Basic libraries: Numpy, Pandas, Scikit-learn, Seaborn, matplotlib, sktime, skforecast
TensorFlow, Keras, PyTorch, Apache MXNet
CV Libraries and frameworks, OpenCV