This course covers the definition, historical development, and prominent role of AI in computer science research. Participants will delve into key AI concepts and terminology, gaining practical skills in data handling, cleaning, and feature engineering. The course will explore various supervised and unsupervised learning methods, including linear regression, logistic regression, decision trees, ensemble methods, clustering techniques, and dimensionality reduction. Emphasis will be placed on practical applications using tools and libraries for building, testing, and analysing models. Additionally, the course will cover data visualisation techniques and explore trends and innovations in AI research, equipping participants with a solid foundation in AI concepts and practical skills for real-world applications.
- Duration / ECTS credits:5 weeks (6 ECTS)
- Places: 10
- Format: Online
- Language: Lithuanian
- Target: ICT graduates
- Price: Free of charge
- Dates and timetable: Starts in September 2025
- Contact: simona.ramanauskaite@vilniustech.lt