This course will be divided into two sections with a thread of sustainability-oriented innovation running throughout the semester. First, we will learn the basics of Systems Thinking, applying the issue of climate change to the process of mapping the system and learning opportunities for leverage. Next, students will be introduced to Biomimicry and Green Chemistry, both of which are needed in a truly sustainable nature-inspired innovation. The Biomimicry Institute runs an annual design challenge supplying a comprehensive toolbox to those who participate in the challenge.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

Commercial properties occupied by a business for its operations across office, industrial, logistics, and data centers. This course will provide an overview of the practice and execution of Corporate Real Estate including strategic planning, transaction management, capital markets, construction project management, facilities management and lease administration. Topics will include occupancy planning and trends, co-working, site selection, outsource partners, financing, own vs. lease decisions, sustainability and LEED, and portfolio management.

The most challenging decisions that business leaders have to make often require particular attention to core values and ethics. These situations can be triggered by a government investigation, ambiguous clinical trial results or product safety concerns. Others may involve a potential employee termination. In each case, the leader must understand the facts, grapple with nuances and consider the deeper dimensions of the required action.

In this course we'll see models of asset prices that try to explain observed features of asset prices using macroeconomic quantities. The goal is to discuss plausible microfounded models whose asset pricing predictions match empirical facts. We will go through the details of the models, trying to understand why they were constructed the way they are, and also work on linking models and data. We'll also discuss recent advances in asset pricing and their implications for future research.

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.

This course surveys classic and current conceptual and empirical research in services marketing and management in the context of the hospitality, leisure, tourism and other service sectors. Students have the opportunity to develop their creative capacity in the development of theoretical extensions of the research and applications in hospitality and other service intensive contexts including health care, educational and financial services