Introduction to Artificial Intelligence Learning Outcomes

Subject specific

• Understanding the field (AI) from interdisciplinary perspective
• Basic knowledge about history of AI and research areas of AI
• Basic knowledge and understanding of concepts, theories, methods and algorithms related to major building blocks of AI such as problem solving and search, constraints satisfaction, reasoning and knowledge representation from the logical point of view, and planning
• Awareness of existence of various methods of learning used in AI (symbolic, statistical, reinforcement-based, connectionist)
• Ability to follow scientific developments in the field of AI
• Understanding how AI supports the design of intelligent computer systems and the study of intelligence in both people and machines
• Understanding how the principles of AI can be used to develop software-based solutions.
• Understanding the principal ethical and social issues in AI research and development

Methodological

• Ability to apply and implement appropriate theories and algorithms to the simpler computationally-solvable problems using existing software tools,
• Basic understanding of possibilities and limitations of computational and formal methods provided by AI.

Go back to Disciplinary Modules.