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.

Entrepreneurial Studies 720

This interdisciplinary course introduces graduate students to the key issues faced by companies attempting to bring science and technology innovations in biomedical therapeutics, devices and diagnostics to market. Because the details of doing this change, the course will present not just current practices but also the rationales behind those practices and more general, analytic frameworks that students will be able use when specific industry conditions change.

Entrepreneurship 530

The course examines intellectual property (IP) strategies for new ideas and startups, including barriers to entry for competitors and infringement risk reduction. Topics include IP procurement, technology transfer, due diligence, and preparing for and avoiding litigation. Students should have their own research to apply what's learned in the class.

Entrepreneurial Studies 515

Targeted toward graduate students of business as well as those in engineering and scientific disciplines, this elective course is designed to provide students with an introductory overview of the world of venturing - that is, to give students a broad sense of the business fundamentals needed to plan, launch and grow a new startup business.

Business Econ & Public Policy 608

This course provides an overview of the economics and business of health care.  The main focus will be on the financing and delivery of health services in the United States.  The analysis of each part of the health care system will include a consideration of basic economic issues, key public policies and current market developments.  Particular attention will be paid to health care reform and its implications for consumers, employers, insurers and providers.

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