SCM 4300: Supply Chain Analytics
Credits: 3. Contact Hours: Lecture 3.
Prereq: SCM 3010
Covers the multifaceted realm of supply chain analytics by exploring descriptive, predictive, and prescriptive analytics methodologies with real-world data across diverse supply chain contexts. Through immersive exercises, students harness the power of analytical insights to inform strategic decision-making and drive operational efficiency. With the training in tools and techniques such as ETL, SQL, Monte Carlo Simulation, Linear Programming, Forecasting, and Python-based machine learning, students gain proficiency in extracting actionable intelligence from complex datasets. Whether deciphering text data or analyzing quantitative metrics, the course fosters a comprehensive understanding of supply chain dynamics.
(Typically Offered: Spring)