- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Artificial Intelligence: Foundations, Applications, and the Future 2400-ZEWW1022(KC)-OG
The course is divided into three parts, each comprising a cycle of 3–5 classes.
In the first part, students are introduced to the foundations of artificial intelligence, including its history, distinctions from related concepts, model training, transformer-based architectures, and practical applications of different types of AI.
The second part focuses on how AI is transforming various economic sectors and professions. It covers the generation of text and multimedia content, data analysis, and task automation. The course also discusses AI applications in typical enterprise processes, such as HR, finance, marketing, and knowledge management, as well as in professions including medicine, law, public administration, and creative industries.
The third part examines the impact of AI on society and the economy, including ethical and legal aspects. Topics include the transformation of professions and the influence of AI on the labor market, the evolution of skill requirements under widespread AI adoption, and key ethical considerations. The course concludes with an exploration of visions for the future development of AI and its potential economic impact.
As part of their homework, students are encouraged to actively and creatively use AI, and during most classes, the most creative ideas are selected and presented.
Type of course
Course coordinators
Learning outcomes
After completing the course, the student:
• Understands the basic concepts of artificial intelligence.
• Knows the main types of AI.
• Can evaluate a model’s performance and understands bias and hallucinations.
• Can identify practical applications of AI in various fields (law, healthcare, public administration, media).
Can use AI tools for simple analytical and creative tasks.
• Understands the social, legal, and economic consequences of AI development.
• Can critically assess information generated by AI models.
• Formulates their own reflections on the future of AI and future skills.
Assessment criteria
The methods include mini-lectures with presentations, including live demonstrations of AI tools. Whenever possible, the demonstrated tools are freely accessible, allowing students to complete short, practical homework assignments. Selected topics, particularly those with a less established research foundation (e.g., future development directions), are addressed in the form of moderated discussions.
Course assessment is based on a final test (75%) and participation in proposing and presenting ideas for AI applications (25%).
Bibliography
• MIT Technology Review - What is AI?
• MIT Technology Review - A short history of AI, and what it is (and isn’t)
• Stanford University Human-Centered Artificial Intelligence: Brief Definitions of Key Terms in AI
• World Economic Forum - The Future of Jobs Report 2025
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: