Data Analytics and Machine Learning for Operations Intelligence

Catalog description

(cross-leveled with ISE 7410 ). Introduces data analytics and machine learning methods for improving operational intelligence in organizational and industrial systems. Covers descriptive analytics models, including data visualization, dashboards, and statistical summaries, and machine learning pipelines that involve model development, evaluation, and interpretation. Topics include exploratory data analysis, descriptive statistics, supervised learning algorithms, and unsupervised machine learning. Emphasizes data preparation, model development, and model interpretation using R and Excel to build end-to-end machine learning pipelines and derive actionable insights for data-driven decision-making in manufacturing, supply chain, logistics, healthcare, and service operations. Graded on A-F basis only. Credit Hour s : 3 Prerequisites: INFOTC 4401 or CMP_SC 1050 , and ISE 4110