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Merrell, Jeffrey C Instructor

Positions

Publications

Teaching

courses taught

  • BCOR 2002 - Principles of Accounting and Finance
    Primary Instructor - Spring 2018
    Provides students with an overall appreciation for coordinated efforts within the business world. Builds a basic understanding of how information regarding a firm's resources and obligations is conveyed to decision makers outside the firm. Examines the use of the tools in financial forecasting, as well as the valuation of projects and assets in the context of time and risk. Credit not granted for this course and BCOR 2000 and BCOR 2200.
  • BCOR 2204 - Principles of Financial Management
    Primary Instructor - Fall 2018 / Spring 2019 / Fall 2019
    Will develop student' understanding of the role of finance in business venture. Effective financial management, whether performed by the general manager in a small business or by a finance professional in a large corporation, is necessary for a venture to succeed and grow. Topics covered include financial statement analysis, time value or money, bonds and stocks (both their markets and their valuation), capital budgesting analysis, and investor expectations regarding risk and return. Credit not granted for this course and BCOR 2200, BCOR 2002
  • BUSM 2002 - Financial Accounting and Finance
    Primary Instructor - Spring 2018
    Focuses on the development and interpretation of companies' external financial reports. Emphasizes the concepts and skills needed to make sound financial decisions. Topics include financial statement development, statement analysis, working capital management, time value of money, sources of financial capital, cost and value of bonds and stocks, and capital budgeting or project analysis. Department enforced prerequisite: any calculus or statistics course.
  • FNCE 2010 - Fundamentals of Financial Analysis
    Primary Instructor - Spring 2019
    Prepares students for financial analysis. Covers mathematical and statistical topics required for such analysis, including derivatives, optimization, integration, probability, inference and regression. Students will become proficient in using the tools and applying them to various financial contexts using analytics Excel, and R.

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