Essentials of Artificial Intelligence

This module explores the essentials of Artificial Intelligence (AI), focusing on foundational concepts, algorithms, and applications. It covers the principles of machine learning, neural networks, natural language processing, and the ethical considerations surrounding AI deployment in various sectors.

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Goodfellow, Ian, Bengio, Yoshua and Aaron Courville. “Deep learning.”, MIT press, 2016.

Marsland, Stephen. “Machine Learning, an Algorithmic Perspective,” CSC-Press, 2009.

Russell, S. and P. Norvig. “Artificial intelligence: a modern approach.” Prentice Hall (3rd ed.), 2010.

Poole, D. L. and A.K. Mackworth. “Artificial intelligence: foundations of computational agents.” Cambridge University Press (2nd ed.), 2017

Cawsey, A. “The essence of artificial intelligence.” Prentice Hall, 1998.

Ghallab, Malik, Dana S Nau, and Paolo Traverso. Automated Planning : Theory and Practice. 1st ed. Amsterdam ; Elsevier/Morgan Kaufmann, 2004.

Poole, David L., and Alan K. Mackworth, “Artificial intelligence: foundations of computational agents.” Cambridge University Press, 2017.

Brachman, R.J and H.J. Levesque. “Knowledge Representation and Reasoning.” Morgan Kaufmann, 2004.

Russell, Stuart J. (Stuart Jonathan), Peter Norvig, Ming-Wei Chang, Jacob Devlin, Anca Dragan, David Forsyth, Ian Goodfellow, et al. Artificial Intelligence : A Modern Approach. Fourth edition. Hoboken, NJ: Pearson, 2021.