Artificial Intelligence Lab: Data, Systems, and Decisions

Catalog description

The purpose of this course is to introduce students to the basic concepts of systems engineering, data sciences, and machine learning. The course will cover the engineering cycle and expose students to the notions of data, systems, models, decisions, and requirements. The course empowers students to use statistical analysis, signal processing, and optimization techniques to process data in decision making systems. It also empowers students to use machine learning techniques for the same purpose. The relative strengths of each approach are discussed. Students are exposed to techniques to process data with temporal, spatial, and network structure as well as to deterministic and Markov dynamical system models.