BIA681 Deep Learning Methodology (3 cr.)

Prerequisite(s): BIA680  
This course introduces students to the complex nature of deep learning. Studying  supervised and unsupervised models, students explore the benefits that deep learning offers to businesses. Using Python, students build a neural network model using a specialized framework and interpret the results for stakeholders.

Upon completion of this course, students are expected to be able to do the following:

1. Communicate a conceptual understanding of why neural networks are gaining popularity.
2. Compare neural networks with other data structures and the situations that neural networks should be used over other structures.
3. Visualize and interpret the components of a neural network.
4. Construct a neural network model using specialized libraries and tools.
5. Explain neural network model results for stakeholders.