This course introduces the basic concepts in the pattern recognition field. The Bayesian classification, the minimum distance (Euclidean and Mahalanobis), and the nearest neighbour classifiers. The...
This course introduces main characteristics of distributed systems, challenges, virtualization, inter-process communications models (RPC, RMI, MOM), distributed architecture models (client/server...
This course introduces the fundamental concepts necessary for modeling, designing, using, and implementing database systems. It includes ER model, relational model and relational algebra, SQL...