2019-2020 Academic Year

Fall 2019

INBM 250 Finance
Knowledge of finance will allow students to adopt the perspective of financial officers in both for-profit as well as not-for-profit organizations. This knowledge is needed to evaluate the health of an organization using key performance indicators and making ethical decisions that involve both short-run and long-run planning horizons. In the short run, this knowledge helps to effectively carry out business functions such as managing cash flow, borrowing money for short periods of time, and keeping control over inventory. In the long run, it helps to choose among competing investment projects and alternative, efficient methods of raising capital. Also, as individuals, knowledge of basic finance will help students to make better-informed decisions concerning their personal financial situations. Apart from covering the fundamentals of financial markets, instruments and institutions, this course will emphasize critical thinking based on quantitative reasoning and decision-making skills. This will include the use of elementary statistical and algebraic methods to investigate fundamental principles of theoretical finance such as the relationship between risk and reward and the pricing of capital assets. Apart from basic theory, knowledge of the hands-on aspects of financial modeling will be imparted via use of spreadsheet software packages such as Microsoft EXCEL; whereby students will be encouraged to create and analyze computational models to test and demonstrate some of the theoretical concepts taught. Prerequisites: ECON 111 and INBM 110.

INBM 300 Investments
This course teaches how to make sound investment decisions through in-depth knowledge of the financial markets and trading simulation. Also, students gain hands-on experience with data analysis, forecasting, and other quantitative techniques by completing the several group assignments. Topics include: investing in common stock, fixed-income securities, and derivatives; cryptocurrencies and initial coin offerings; big data and artificial intelligence in investment management.