ITEC-321 Advanced Business Analytics and AI (3)

This course explores the business applications of advanced analytics and artificial intelligence (AI), with a focus on machine learning techniques for analyzing both structured and unstructured data. Students learn to apply AI to real-world business problems, uncovering hidden patterns, extracting actionable insights, and supporting data-driven decision-making. Emphasis is placed on AI-based quantitative models, including neural networks, decision trees, support vector machines (SVM), and clustering algorithms such as K-means. The course covers a broad range of techniques and introduces both open-source and commercial tools for analyzing and visualizing data at scale. Students gain hands-on experience using analytics and machine learning to address complex business challenges. The course also touches on business applications of generative AI. Prerequisite: DATA-412 or ITEC-300; and ITEC-320.