Artificial intelligence technologies for the development of higher education potential (engineering direction)
Title: Artificial intelligence technologies for the development of higher education potential (engineering direction)
Instructor(s): Yurii Romasevych, Mykola Korobko
ECTS credits: 2
| Course structure: | 60 hours |
| Lecture classes | 10 hours |
| Laboratory classes | 10 hours |
| Personal Activities | 40 hours |
Mode of delivery: hybrid
Course Summary
The course introduces students to the fundamental concepts, methods, and applications of artificial intelligence (AI) in the context of engineering education. The subject focuses on how AI tools and systems can enhance teaching, learning, research, and innovation capacity in higher education institutions. Students will gain knowledge of core AI technologies, including machine learning, natural language processing, data analytics, and intelligent automation, with an emphasis on their role in engineering problem-solving and knowledge transfer.
Through practical activities, students will acquire skills to analyze educational challenges, design AI-based solutions, and apply intelligent systems to optimize learning processes, resource management, and research productivity. The course also develops critical awareness of ethical, social, and professional implications of AI in education. Graduates will be able to employ AI technologies responsibly to support sustainable growth and innovation in engineering higher education.
Course Materials
Copilot Course Handbook_AI_Romasevych+Korobko.docx
Copilot Course Evaluation Questionnaire_AI.docx