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Fall 2024
Whether or not data is the new oil, it is certainly much easier to steal. The combination of intimate data stored on interconnected devices that are all part of an interdependent infrastructure like the internet makes cybersecurity and privacy -- inevitably intertwined -- two of the top issues facing business and society in the 21st century.
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Spring 2024
The course will integrate concepts and theories from History, Politics, and Management as a starting point for studying the development of a Presidential administration in its social, political and cultural contexts. Lessons learned from the past and parallels to the present have great relevance to our future.
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Fall 2025
This course seeks to improve the investment decision process through the application of investment frameworks and fundamental analysis. Classes will typically feature "live cases" for which students use real-time data and public filings to make investment decisions. Class discussions will often be co-moderated by guest practitioners who oversee capital allocation decisions for hedge funds, private equity partnerships, or corporations.
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Spring 2026
The objective of the course is to present a disciplined, valuation based process for security analysis. The course will focus on melding theory and practice using examples across industries and geographies. Investing is as much art as it is science, and therefore, particular attention will be paid to both quantitative and qualitative aspects- including financial statement analysis, valuation methodologies, and competitive strategy.
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Spring 2026
Strategic costing is concerned with use of internal cost accounting information to plan and evaluate strategic operations and interactions with stakeholders of the firm. The focus is on planning and strategic decision-making by the organization and on the accounting systems that managers have to assist them in their decisions about resource allocation and performance evaluation. The course is intended as an extension of foundational cost accounting.
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Spring 2026
In recent years, private market investing including real estate has risen strongly. Real Estate is linked closely with the fields of finance and business & leads to a specialized career. Curriculum is needed in order to recruit and support success in developing the next generation of responsible leaders in real estate. This course will allow students to interact with leading investment managers and experts in the area.
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Spring 2026
This course explores the myriad social, economic and cultural problems that our society currently faces and asks what business can do about it. Education, climate change, emerging technology, healthcare and more. What is the unique role that business can play and how can individual business leaders fully realize both the uniqueness and full potential of that role?
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Spring 2024
Understand and competently navigate core policy dimensions (e.g., intellectual property, regulatory organizations, standard setting) impacting technology ventures. Understand the range of sources (e.g., government, states, investors) for funding high technology ventures, and the differing expectations of these sources. Historical grounding in how the "Tech" industry arrived at where it is today, toward a better understanding of the industry.
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Fall 2025
This course develops expertise in stewarding responsible public disclosure to external stakeholders through an analysis of the managerial decisions that drive both financial and non-financial communications. The focus of the course is on the roles of a company's accounting system, management and board in creating an environment where managerial decisions lead to high quality stewardship of public disclosure.
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Spring 2026
Sports contexts provide an excellent vehicle by which to study how to use analytics as part of a leader's decision-making toolkit. How, for example, do you evaluate talent analytically, and decide how to construct, motivate, and compensate members of a team? While we can't know with certainty how a professional player (i.e., employee) will perform in the future, models can be built to analyze the past, thus make powerful statistical predictions.
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