(*)- Understanding the historical development of AI (k2)
Students are able to describe the theoretical foundations and historical evolution of AI, including key milestones, scientific breakthroughs, and shifts in paradigms.
- Analyzing Theoretical Foundations of Reasoning and Knowledge Representation (k4)
Students can explain formal models of knowledge representation and logical reasoning.
- Exploring theoretical aspects of Machine Learning (k3)
Students are able to differentiate between fundamental machine learning approaches (supervised, unsupervised, and reinforcement learning) and understand their mathematical underpinnings and theoretical limitations.
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(*)Students have theoretical knowledge of AI’s core subfields, including reasoning and knowledge representation, machine learning, natural language processing, and reinforcement learning, with an emphasis on formal models and foundational principles. They understand AI’s historical background and its theoretical challenges.
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