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University of Vaasa
Artificial Intelligence: Concepts, Challenges, and Opportunities
5 cr
What is AI, manifestation of AI, algorithmic thinking, searching techniques for problem solving, searching strategies, propositional logic: representation and inference, probability theory and Bayesian concepts, concepts and review of machine learning algorithms, game theory and decision making, applications of AI in Computer vision and robotics, NLP workflow: text mining, word embedding, skip-grams, cbow, programming tools: Jupyter and Spyder, basic programming structures. basic data structures and knowledge representation, Keras and applications, Scikit learn, Orange data management tool, ethical and societal challenges, broad collection of ethical challenges, categories of ethical challenges of AI
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Fields
Engineering and technology
Scope
5 cr
Code
ICAT1100