Application of computational tools to model and solve data engineering problems involving stochastic systems, reinforcement learning, ensemble learning and data visualization. Prerequisites: Grade of C or better in DAEN 300; concurrent enrollment in DAEN 323 and DAEN 328; junior or senior classification Credit 1. 0 Lecture Hours. 3 Lab Hours.
Application of computational tools to model and solve data engineering problems involving stochastic systems, reinforcement learning, ensemble learning and data visualization. Prerequisites: Grade of C or better in DAEN 300; concurrent enrollment in DAEN 323 and DAEN 328; junior or senior classification Credit 1. 0 Lecture Hours. 3 Lab Hours.
