Supply Chain Management

3 credits · College of Engineering catalogue

Advisory Prerequisite: IOE 510, IOE 514 and IOE 541. Enforced Prerequisite: None. (3 credits) Structural analyses of production and inventory systems. Review of issues in supply chain management. Topics include inventory systems with stochastic lead time, multi-echelon supply systems, and coordination of material flows, information flows and financial flows in a supply chain. IOE 667. Bayesian Data Science – Theory & Applications Advisory Prerequisite: Knowledge of basic statistics at the level of IOE 265 or STATS 250. Knowledge in linear algebra at the level of MATH 417. Proficiency in data visualization using R, Python, or MATLAB. Enforced Prerequisite: None. Credit Exclusions: Student may only receive credit for one course , IOE 567 or IOE 667. (3 credits) Bayesian Fundamentals, Single & Multivariate Parameter Models, Bayesian Model Evaluation, Bayesian Decision Analysis, Modern Markov Chain Monte Carlo, Bayesian Regression, Variational Inference: Posterior Inference via Optimization, Gaussian Processes, Bayesian Deep Learning, Bayesian Optimization, and Distributed Bayesian Analysis. Significant focus is also placed on the theory and applications of Bayesian data science.