Business Intel & Analytics

This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues.

Deterministic Models

This course develops skills in prescriptive analytics for business process modeling and optimization. It examines systems where scarce resources must be allocated in a manner that furthers the goal of the decision-maker. It focuses on model building using linear and mixed-integer programming for applications arising in production, logistics, supply chain management, and finance, among others. Innovative modeling techniques, the use of state-of-the-art commercial solvers, and insights into specially-structured models are explored in the context of business and engineering applications.

Isenberg Transfer Connection

This seminar is designed to assist first semester Isenberg School of Management external transfer students with the transition into their new academic community. Through this one-credit seminar, students will be introduced to valuable academic and career related topics and provided with connections to campus resources, faculty and staff.

Isenberg Transfer Connection

This seminar is designed to assist first semester Isenberg School of Management external transfer students with the transition into their new academic community. Through this one-credit seminar, students will be introduced to valuable academic and career related topics and provided with connections to campus resources, faculty and staff.
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