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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Artificial intelligence: a modern approach. Book by Stuart J. Russell; Peter Norvig, 2021 Fourth edition

Brachman, R.J and Levesque, H.J. (2004). Knowledge Representation and Reasoning. Morgan Kaufmann.

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

Artificial intelligence: foundations of computational agents. Book by David L. Poole; Alan K. Mackworth, 2017.

Ghallab, M., Nau, D. and Traverso, P. (2004). Automated planning: theory and practice. Morgan Kaufmann.

Cawsey, A. (1998). The essence of artificial intelligence. Prentice Hall.

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

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

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