Neural Networks

Course description

Neural networks are computational models that utilize a series of algorithms or nodes which mimic the way the human brain functions. These nodes work together to process and identify relationships between complex data. Neural networks can self-learn or be trained by observing data sets. Students will learn how to prepare data, select and design a neural network, then test and make predictions using the network.

Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.

For more information, please contact Continuing Education