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.

Contact department for description.

Contact department for description.

Contact department for description.

This course will look at the role of ethics in business decision-making. Students will learn about significant aspects of business law and legal compliance issues, as well as important ethical frameworks. Additionally, students will explore ethical challenges faced by businesses, looking at current business decisions made by well-known companies. By the end of the course, students will be equipped with ethical perspectives that will allow for a better understanding of how modern businesses function and the role of ethics in business today.

Capstone course requiring application of knowledge and techniques derived from previous courses. Course presents strategic management theories and frameworks, uses integrative cases, and leverages empirical observations to guide students in the formulation of successful firm-level strategies.

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students' understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

This course provides an executive viewpoint of marketing concepts, such as branding and segmentation, for strategic and organizational decision-making. There is an emphasis on tools available for analysis and control of marketing activities, including the use of new media. Topics also include industrial life cycles, customer experience, and pricing strategy.

This graduate course provides comprehensive coverage of project management, focusing on the methods and competencies needed to effectively manage projects. Upon successful completion of this course, students will be able to understand different project management techniques, terminology and trends; define project success measures and methods; improve quality, cost and efficiency with the project management process; and gain basic competency using project management software.

This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.