Overview
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Learning activities
Learning outcomes
Provide critical analysis of the AI paradigms, with their advantages over traditional computing
approaches in solving real world problems
Explain the theoretical foundations of various types of AI technologies for specific applications with focus on data intensive applications
Evaluate AI systems and, in particular, their suitability and shortcomings for specific applications and
domains
Demonstrate and discuss the use of AI tools available for developing AI systems.
Articulate the ethical and societal implications of AI.
Assessments
Additional information
* Introduction to AI Systems * Knowledge Engineering * Problem Solving * Knowledge and Reasoning *
Rule-Based Systems * Fuzzy Systems * Machine Learning * Genetic and Evolutionary Algorithms * AI
Applications * Ethics and Safety of AI