QTM3605 Quantitative Analysis of Structural Injustice
4 Advanced Liberal Arts Credits

This course provides a survey of current quantitative methods for analyzing structural disparities. Using philosophies from interdisciplinary fields, we follow examples from education, housing, and other topics to document the direction and size of social and economic disparities. The course begins with a discussion on the philosophies of major data issues. We then learn to analyze disparities using a wide range of data types - spatial, panel, experimental, and observational - through the use of raw, real-world data sets. Discussions will center on biases resulting from data, models, and algorithms. The course uses R and QGIS. Prior to enrolling, students should have a foundation in regression analysis

Prerequisites: AQM 2000 OR QTM 2000

QTM3635 Quantitative Methods for Machine Learning
4 Advanced Liberal Arts CreditsThe ease of data collection coupled with plummeting data storage costs over the last decades have resulted in massive amounts of data that many business organizations have at their fingertips. Effective analysis of those data followed by sound decision-making is what makes a company an analytical competitor. This course is dedicated to learning and applying advanced quantitative tools for solving complex machine learning problems. The course will build on analytical tools learned during AQM 2000 (Predictive Business Analytics) course, introducing modern advanced tools ranging from random forests to support vector machines and artificial neural networks. Each topic covered in this course will be discussed in the context of wide-ranging real-world applications such as email spam prediction; handwritten digit recognition; topic modeling/text mining; etc. The implementation of the introduced topics will be carried out in R/RStudio.

Prerequisites: QTM2000 or AQM2000

FIN3565 Real Estate Development
4 General CreditsThis course reviews the process by which value is created through real property improvement and modification. The course examines that real estate development process, exposing students to the critical steps and key decisions required to create, secure approvals, construct, lease, finance, and manage property improvements. Through case studies, related readings, and a final team project, students examine the perceived risks and potential returns of real estate development.

Prerequisites: FIN3555

FIN4571 Real Estate Finance and Advanced Modeling

4 Advanced Management Credits

This course will address the practical and theoretical issues involved in estimating cash flows and values of a wide variety real property, financial interests, investment interests and deal structures using discounted cash flow (DCF) techniques and sensitivity analyses. Students will solve real estate cash flow and DCF problems using models for property, portfolio, debt and equity interests for a variety of commercial real estate property types. Students will learn and apply the detailed modeling applications necessary to estimate both cash flows and values in the world of real estate finance and capital markets. Students will use and learn both Excel and industry standard ARGUS software applications in the process of modeling lease by lease cash flows at the property level, portfolio cash flow consolidations, related debt structures, including first mortgage and mezzanine debt, and equity waterfall structures. ARGUS is a widely accepted unique and complex modeling software that is very frequently required by employers in real estate finance. This course includes explanations of the theoretical issues and concepts involved in these practical applications. This course is intended for students who have an interest in real estate or who desire to expand their knowledge of finance to include real estate.

Prerequisites: SME2021

FIN3555 Real Estate Investment
4 General Elective CreditsThis course is designed for students interested in learning to evaluate real estate investment opportunities. The focus is on commercial property, not single-family homes, and on U.S. real estate. Using readings and case studies, students examine real estate as an asset class and explore its similarities and differences from other investment types. The foundation for this course involves understanding the industry terminology, legal rights and restrictions, and basic techniques for financial projections and analysis.

Expanding from this base, students explore the use of debt and the implications of taxes on real estate investment returns.

Prerequisites: SME2021

FIN3512 Real Estate Transactions and Law

4 General Elective CreditsReal-estate is a transaction-based business. To successfully execute any business strategy in real estate, it is essential to understand the relevant legal structures and transaction documentation. This introductory and practical course will provide students with an understanding of the fundamentals of commercial real estate transactions from a legal and managerial perspective. The course is designed to familiarize students with the various "life stages" of commercial real estate transactions: negotiating the term sheet, conducting "due diligence" property investigations, structuring ownership interests, financing the project, closing and acquiring title, developing the property, managing and leasing the project, and ultimately, selling the asset or ownership interests. By integrating business strategy and legal structure throughout the course, students will explore how legal considerations impact decision-making in valuing real estate assets, selecting effective ownership structure and control, managing financial risk, allocating financial returns, and developing exit strategies for real estate investments.

Prerequisites: SME2021 or FIN2000

FIN3511 Residential Real Estate
4 General Elective CreditsThis course is designed to introduce students to the residential real estate housing market in the U.S. and equip them with the knowledge to efficiently and effectively navigate that marketplace. Through a practical application of the course topics and examination of current industry examples, we will explore the process of buying, selling, financing and leasing residential real estate, with a focus on single-family homes, condominiums, townhomes, duplexes, triplexes and multi-family apartments of four units or less. We will examine the major issues and considerations that impact the valuation, financing, acquisition, disposition, and leasing of residential real estate.

Prerequisites: FME1001

FIN4507 Risk Management
4 Advanced Management Credits

Risk management has risen to a new pre-eminence with firms being exposed to an ever increasing range of risks. The reasons for this rise, and the techniques and instruments used by risk managers, are the subjects of this course. The course will first cover the concept of Enterprise Risk Management (ERM) and then analyze the key financial tools used in risk management, such as futures and options. Students will then use their knowledge to manage risk optimally and alter the risk/return characteristics of corporations. The course will apply these tools to risk management cases to cover a whole set of different sectors (airlines, automobiles, IT, etc.). The course will also go into some of the most pressing risks of our time, namely: climate change; diversity, equity and inclusion (DE&I); and cybersecurity, as well as risks related to Mergers & Acquisitions (M&A) and executive compensation.

Prerequisites: SME2021

NST1090: Science of Sport

4 NST1 Credits

From the first recorded event at the ancient Olympic Games in 760 BC to the present, humans have long been captivated by sports. Humans are competitive by nature, and while sports are thrilling to both watch and play, sports are also a powerful demonstration of science. Every sport from soccer to cricket, baseball to softball, football, swimming and track and field all involve a complex symphony of science, technology, engineering, and math. This course will explore the science that underlies sport, specifically incorporating the traditional scientific disciplines of anatomy and physiology, physics, psychology, biomechanics and math. We will explore the systems of the human body that make it possible for a pitcher to throw a baseball at 100 mph, a marathoner to run 26.2 miles in just under 2 hours or a figure skater to land a quadruple axle. We will explore how science contributes to the limits of human speed, strength and endurance. We have accumulated considerable amount of information that contributes to our understanding of health, the human body and human performance in relation to sport and exercise. We will explore a range of topics from the effects of exercise on heart rate, oxygen consumption, muscle function and fatigue, joint mechanics, metabolism and concussion. Importantly, we will put the concepts we learn in class into practice in the lab and on the field to test them and collect and use data to critically analyze athletic performance and the underlying scientific principles that define it.

Prerequires: None

SCN3640 Science and Innovation
4 Advanced Liberal Arts CreditsAn examination of the concepts, principles and policies related to research and development activities with examples from the history of the subject from its Greek beginnings to modern times. Successful and failed R&D projects from multiple disciplines will be explored as a driving force for innovation. The complex relationships that the scientific and engineering enterprises have to the innovation process will be examined with respect society, industry, and political motivations.

Prerequisites: NST10%%