EE595: Machine Intelligence and Smart Systems

To provide the theoretical and practical background required in pattern recognition and smart algorithms.

NO. OF CREDITS: 3
COMPULSORY/OPTIONAL: OPTIONAL
PREREQUISITES: EM201

MAIN TOPICS AND INTENDED LEARNING OUTCOMES

ILO1: Demonstrate the understanding of presently existing smart systems and algorithms.

ILO2: Identify and narrow down particular learning algorithms suited for solving a problem, given the nature of the problem.

ILO3: Design and implement conceptual smart systems using logical reasoning, supervised and unsupervised learning.

ILO4: Demonstrate the ability to use specialized software and tools to develop smart algorithms.

NO	RECOMMENDED TEXT
1	C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
2	R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, Wiley, 2001.
3	G. James, D. Witten, T. Hastie, R. Tibshirani , An Introduction to Statistical Learning, Springer, 2013.
4	S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, Pearson, 2014.