Accounting 471

This course covers both financial and managerial accounting with an emphasis on an external or a user perspective of accounting. The course is designed for students who seek to gain an understanding of how accounting information is used by organizations (businesses and nonprofit organizations) and by investors.

Public Policy 717

How are the inherent and intersecting relations of power including inherent structures of dominance related to the experience of violence, oppression and resistance textured into the context of politics and policy making? This course investigates how multi-faceted historical relationships of traumatic experience including Colonization, Slavery and Apartheid can be related to the ways in which we think about policy.

Marketing 310

Nearly $1 trillion is spent every year on the selling function. Every senior management team must deliver its revenue and profit numbers. As customer loyalties diminish and marketing channels proliferate, sales - once seen as a tactical adjunct to marketing - has increased its role to become the key interaction between company and customer. Today sales professionals must expand their perspective to see their role in an enterprise-wide, cross functional context.

Business Administration 620

Healthcare delivery in low- and middle-income countries (LMICs) is influenced by a number of factors such as provider expertise, patient trust, access, financing, medication/treatment availability, policies, and evolving technologies. Some components vary from culture to culture, while others remain constant. Improvements in healthcare delivery in these countries will rely on a good understanding of the various disciplinary approaches to care and how they can vary between cultures.

Strategy 562

New business models built around operational efficiency offer tremendous potential to improve people's health worldwide. This course will examine how innovations in business models, operations, financing and supply chains are allowing far more people to access better quality healthcare. The course draws extensively on real-world case studies and latest research in this field. Class sessions will feature thought leaders from the field of global health delivery and involve lively debates on important topics.

Biostatistics 607

This modular course focuses on basic programming skills for Python, R, and C++. It will cover key features of each including conditional statements, loops, data structures, basic data processing and analysis, basic data visualization, and object-orientation programming. 

Technology and Operations 411

Spreadsheets are among the most widely used decision support tools in business today, and have advanced to the point of providing powerful, general-purpose functionally.  The first half of the course introduces decision support modeling using spreadsheets, including:  what-if analysis; financial, statistical, and time/date functions; graphical presentation of data; organizing and extracting information from spreadsheet databases; and cross-tabulation of data.  The second half of the course includes importing information into spreadsheets from external sources; goal seeking; one and two way

Entrepreneurship 550

***Note: Previously offered as an approved topic under ENTR 599

Learn the Emotional Intelligence framework to better understand and manage yourself and others, and build strong relationships and lead teams. Develop your own Personal Leadership Plan to help you "level up" as a graduate professional.

Entrepreneurship 599

***Note: ENTR 599 is a special topics course and the topics may change across terms. The special topic of "DEI in entrepreneurship" has been approved by the Curriculum and Assessment Committee for professional elective credit. Students wishing to take this course where the topic is different must submit a request to the Curriculum and Assessment Committee for review and approval. 

Course overview for DEI in Entrepreneurship:

Statistics 500

The course covers concepts and methods for regression analysis and applications. Topics include estimation, inference, interpretation of results, diagnostics, lack of fit, robust procedures, weighting and transformations, and model selection. The response variable could be continuous, binary or counts. More advanced techniques (splines, principal components analysis, and shrinkage estimators including ridge regression and Lasso) will also be covered.

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