Probabilistic Methods for Financial and Marketing Informatics

As the job climate has changed, the skills needed to compete in the IT industry go beyond the fundamentals of computer science, programming and web design. To be truly successful, one needs to be equipped with the knowledge of cutting edge applications of computer science to areas such as decision analysis, risk management, data mining, and market analysis. Developed by the NEIU Computer Science Department Advisory Board (which consists of IT professionals from several major companies) Bayesian Networks for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems.