Topics include a mathematical review, Bayes decision theory, maximum likelihood and Bayesian learning for parametric pattern recognition, non-parametric methods including nearest neighbor and linear discriminants. Syntactic recognition of strings, substrings, subsequences and tree structures. Applications include speech, shape and character recognition.

Fundamental concepts of ITS. Computer information and communication for ITS. The backbone of ITS communication, network topologies and configurations. ITS models and cvaluation Methods. Advanced transportation management, advanced traveler information and advanced driver assistant systems. Smart mobility and GPS localization algorithms.