Mathematics & Statistics:
- Calculus A, B, C, & III with Applications / Linear Algebra / Computational Geometry
- These courses were the first stepping stones towards my studies in mathematics. All of which consisted of basic mathematics like simple formulas, geometry, graphs, arithmetic, and more
- Probability Theory / Multivariable Calculus / Mathematical Statistics
- These courses were more dedicated to actual statistical mathematics like probabilities, distributions (binomial, geometric, normal, uniform, etc.), statistical analysis, and so much more. These were the math courses that were more relative to my profession as a potential actuary.
- Survey of Probability and Statistics / Financial Mathematics / Operations Research & Deterministic Models
- These courses not only taught more types of math problems with statistics and probability, but they also applied these skills in everyday situations. It’s here where I learned how statistics work in financing and insurance agencies, as well as methods of determining certain everyday occurrences like grading, chances of winning in a competition, life expectancy, and so much more.
Economics, Business, & Computer Science Courses
- Investment, Time Series, and Data Analysis
INVESTMENT ANALYSIS: The theoretical and empirical study of financial markets. Topics include portfolio selection, asset pricing, market efficiency, evaluation of fixed income securities, options and futures pricing.
TIME SERIES ANALYSIS: Trend and seasonal components of time series models, autoregressive and moving average (ARMA) models, Box-Jenkins methodology, Portmanteau test, unit-root, generalized autoregressive conditionally heteroskedasticity (GARCH) models, exponential GARCH, stochastic volatility models.
- Microeconomic & Macroeconomic Theory
MICROECONOMICS: Analytical study of the behavior of fundamental economic units (consumer and the firm) and its implications for the production and distribution of goods and services. Emphasis on the use of economic theory to provide explanations of observed phenomena, including the analytical derivation of empirically verifiable propositions. This course has been designated as a High Demand/Controlled Access (HD/CA) course. Students registering for HD/CA courses for the first time will have priority to do so.
MACROECONOMICS: The theory of national income determination, employment, distribution, price levels, inflation, and growth. Keynesian and classical models of the different implications of monetary and fiscal policy. This course has been designated as a High Demand/Controlled Access (HD/CA) course. Students registering for HD/CA courses for the first time will have priority to do so.
- Basic Studies in Business and Computer Science
INTRODUCTION TO COMPUTER SCIENCE: An introduction to fundamentals of computer science. Topics covered include algorithmic design, problem-solving techniques for computer programming, fundamentals of digital logic and computer organization, the role of the operating system, introductory programming methodology including variables, assignment statements, control statements and subroutines (methods), programming paradigms, the compilation process, theoretical limits of computation, social and ethical issues. Intended for students who have not taken any college-level computer science course containing programming assignments in a high-level programming language.
INTRODUCTION TO BUSINESS FOR NON-BUSINESS MAJORS: Introduces students to major business topics that influence today’s business practices. Explores contributions over the last century from Henry Ford to Bill Gates, showing how the Industrial Revolution became the Information Revolution. Provides knowledge of how business works and a perspective on its evolution into the next millennium. Integrates both introduction to business and management principles into one course. This course may not be taken for credit in addition to BUS 112.