Mathematical Modeling of Finance: An Introduction to Quantitative Analysis

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Two Sections Available to Choose From:

Course DatesMeeting TimesStatusInstructor(s)CRNRegistration
June 17, 2019 - June 21, 20196/17 - 6/21M-F 3:30P-6:20PWaitlistedMehdi Khorami
July 29, 2019 - August 02, 20197/29 - 8/02M-F 8:30A-11:20AWaitlistedMehdi Khorami

Course Description

Quantitative Analysts (Quants for short) are considered the rocket scientists of Wall Street. They design and implement complex mathematical models that allow financial firms to price and trade securities. They are employed primarily by investment banks and hedge funds, but also by insurance companies and management consultancies and others.

This course provides students with the basic mathematical concepts and techniques used in finance, highlighting the inter-relationships of the mathematics and developing problem solving skills with a particular emphasis on financial and business applications. The course will concentrate not only on the theory but also on practical applications.

This course has two parts: Interest Rates and Probability Theory. The topics covered in the first part include Interest Rates, Compound Interest, Annuities, and Loan Amortization.

The second part of the course will focus on Probability Theory, covering topics such as Probability models, Probability Distributions, Discrete Expectations, and Conditional Probability. These concepts are then used to provide applications in the financial industry.

Upon successful completion of the course students will be able to:
1. Demonstrate understanding of basic concepts such as simple and compound rates of interest
2. Have a knowledge of the various types of annuities and use them to solve financial transaction problems
3. Employ methods related to these concepts in a variety of financial applications
4. Calculate the probability of events for various outcomes
5. Define and identify some basic probability distributions
6. Apply logical thinking to problem solving in the context of financial instruments

Prerequisites: Students need a solid background in algebra. No background in finance is required.


Course Information

  • Course Code: CEMA0924
  • Length: 1 week

Program Information


Brown’s Pre-College Program in the liberal arts and sciences, offering over 200 non-credit courses, one- to four-weeks long, taught on Brown’s campus. For students completing grades 9-12 by June 2019.

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