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  • 3.00 Credits

    The objective of this workshop course is to introduce students to the foundational concepts of Distributed Ledger Technology (DLT), to analyze various L1/L2 blockchain architectures, and to discuss topics related to asset tokenization, i.e., fungible and non-fungible tokens, copyrights, and ownership, etc. In addition, a lab component of the workshop will focus on coding basic smart contracts using Python. Prerequisites: 'C+' or better in BCOR 3020 OR FINAN 3020 OR FINAN 5050
  • 3.00 Credits

    This course is to expose and engage students in the work of Fintech through the research and interaction with Fintech Leaders on designated projects. Students will learn how Fintech organizations actually work, how leaders identify problems, think about and evaluate service alternatives, apply technology solutions and produce and service marketable products and services. The course will also include introduction of a problem-solving methodology and the project methodology Agile. Prerequisites: 'C' or better in FINAN 2140 Corequisites: (FINAN 5530 OR CS 1400 OR CS 1420 OR IS 4485)
  • 3.00 Credits

    This course uses a workshop/laboratory format to teach students about fundamental concepts of applying consumer financial information to enable financial inclusion. These concepts are foundational to the social purpose of a large segment of the FinTech industry. We intend to develop other workshops that orient students to other aspects of Fintech work. In the Data for Good workshop, business, computing and other students will learn: About the nature and structure of stored consumer financial payment data. How to access relevant data in a secure manner. Analysis techniques that can be applied to identify usage patterns. To identify transactional patters that indicate financial management strengths and needs. Evaluative techniques that reduce unintended bias or inequity. How credit and inclusion decisions are made and can be improved upon. Ways to overcome consumer skepticism about participating in the financial system. Techniques to engage and retain new consumers in achieving financial objectives. A further objective of this course is to expose and engage students in the work of FinTech through the research and interaction with FinTech Leaders on designated projects. Prerequisites: 'C' or better in FINAN 2140 Corequisites: FINAN 5530 OR CS 1400 OR CS 1420 OR IS 4485
  • 3.00 Credits

    Many important decisions are made via voting processes. Some obvious examples include corporate boardrooms, shareholder meetings, industry councils, judicial rulings, fiscal policymaking, selection of religious leaders, the choice of officers of fraternities, and of course, the selection of national leaders. This class brings the tools of game theory and econometric analysis to the study of voting. This course draws on work in corporate finance and political economy to study how voting does and sometimes does not work. Voting is popular because it can provide a simple and transparent way to resolve differences in preferences and aggregate dispersed information. As we shall see, whether equilibrium or strategic behavior in voting processes achieves these ends sometimes merits further analysis, and in some settings, the choice of how voting occurs can be quite consequential. Prerequisites: 'C-' or better in QAMO 3020 AND QAMO 4700
  • 3.00 Credits

    This class provides a 'hands on' approach to financial markets through 10 trading sessions. Students gain invaluable experience while trading in different roles across different market structures. Once basic trading proficiency and understanding of markets is acquired, the class moves to exploring trading strategies and the usage of technology to implement them. Both quant and high-frequency trading strategies will be covered. Familiar topics from other finance classes are discussed, starting from the very basics up to more advanced topics, but through the lenses of the data generated from the classroom trading sessions. This data proves remarkably similar to the data one observes in large markets but with the benefit of having greater knowledge about individual incentives and the 'fundamentals' of the classroom economy. This approach allows for deeper analysis and a greater understanding of markets. The topics covered include Behavioral Finance, Prediction Market, Lending Markets, Market Bubbles and Crashes, Capital Asset Pricing Model, and High Frequency Trading. Prerequisites: 'C-' or better in BCOR 3020 OR FINAN 3020 OR FINAN 5050
  • 3.00 Credits

    Theories and practice of short-term finance, including cash management, accounts receivable, inventory, accounts, and notes payable management. Prerequisites: 'C-' or better in (BCOR 3020 OR FINAN 3020 OR FINAN 5050) AND (BCOR 3010 OR ACCTG 3010 OR ACCTG 5050) AND Full Major status in the David Eccles School of Business
  • 3.00 Credits

    This course will cover topics involved with raising capital for new and growing businesses. Topics include venture capital, private placements, initial public offerings (IPOs), mezzanine debt, preferred stock, warrants, and other forms of new venture financing. Corequisites: 'C-' or better in (FINAN 5380 OR FINAN 5520) AND Full Major status in the School of Business
  • 3.00 Credits

    This course focuses on the process of acquiring and reinvigorating an established firm by looking at the world of management buy-ins (MBI's) ' acquisitions of existing companies by small management teams from outside the company. Through a series of cases, classroom exercises, and a project, students will learn to search for target firms, conduct due diligence, develop valuation techniques, and understand deal structure and financing of the acquisition. Ultimately, the course provides students with the skills to source, evaluate, acquire, and add value to companies. The course will also interest participants who are considering an entrepreneurial or real estate option at some point during their careers. Prerequisites: 'B' or better in (BCOR 3020 OR FINAN 3020 OR FINAN 5050) AND (BCOR 3010 OR ACCTG 3010 OR ACCTG 5050) AND Full Major status in Finance
  • 3.00 Credits

    The course will apply economic theories learned from other courses to solve various problems in financial management and investments. It will take a hands-on approach in building financial spreadsheet models. Microsoft Excel is a primary tool to implement the financial models. The students will have ample examples of numerical and graphical practices on problems that arise in various areas of financial analyses. These include but are not limited to asset return calculations, portfolio theory, index models, the capital asset pricing model and investment performance analysis. The course will also make use of statistics and probability. Prerequisites: 'C-' or better in (FINAN 4070 OR FINAN 5050) AND (BCOR 3010 ORACCTG 3010 OR ACCTG 5050) AND (Full Major status in the School of Business OR Full Major status in QAMO)
  • 3.00 Credits

    This course is designed to give students an understanding of the Federal Reserve System and open market monetary policy making in particular. The culmination of the class will be a Symposium. Students will act as FOMC members. Prerequisites: 'C-' or better in (BCOR 3020 OR FINAN 3020 OR FINAN 5050) AND (BCOR 3010 OR ACCTG 3010 OR ACCTG 5050) AND Full Major or Minor status in the School of Business