CSCE 3201 - Applied Artificial Intelligence

3 hours

Core concepts and terminology in artificial intelligence will be introduced to understand the taxonomy of AI applications - the relationships between the tools and frameworks available for intelligent, data-driven decision making. This will include a demo-driven introduction to machine learning, with general principles of powerful predictive models discussed and the role of unsupervised and semi-supervised learning techniques in powering many state-of-the-art decision systems.

Prerequisite(s): MATH 1650 or instructor consent

This course is for non-computer science and engineering majors.

Experience with Python is helpful as it is used extensively in the course, but significant prior programming experience with any language will be sufficient.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $52.70