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Mathematical Modeling of Finance: An Introduction to Quantitative Analysis

Course Description

This course will provide you with an introduction to Quantitative Analysis in Finance. We will start with a demonstration of how money grows over time, covering topics such as Interest Rates, Compound Interest, Present, and Future Value of Annuities, and Loans.

The second part of the course will focus on Probability Theory and its application in Finance. Topics include Sample Space and Discrete Probability Models, Random Variables and Probability Distributions, Discrete Expectations, and Conditional Probability. Together we will learn how to apply these concepts to analyze financial decision-making.

This is an online course that uses Brown’s Canvas as the primary learning platform. It is mostly asynchronous; lectures are recorded and made available to students on a schedule. You are encouraged to participate in live virtual discussions that will be scheduled multiple times a week. The course content is organized into weekly modules. Within modules, you will find recorded lectures, lectures notes, discussion pages, and other content. The course includes a variety of individual and group assignments and projects.

Upon successful completion of the course, you will be able to:
• Demonstrate an understanding of basic concepts such as compound interest and rates of return
• Have a knowledge of the various types of annuities and how to calculate present and future values
• Calculate the probability of events for various outcomes
• Define and identify basic probability distributions and random variables
• Calculate expected value for various random variables that arise in Finance
• Demonstrate an understanding of conditional probability and its application in Loan Defaults

Prerequisites

Strong Basic Algebra background in needed to succeed in this course. No Finance or Calculus experience is required.

Sections

One Section Available to Choose From:

Online sections of Pre-College courses are offered in one of the following modalities: Asynchronous, Mostly asynchronous, or Blended. Please review full information regarding the experience here.


Dates: June 27, 2022 - July 22, 2022
Duration: 4 Weeks
Meeting Times: Online - Mostly Asynchronous
Status: Closed
Format: Online
Instructor(s): Mehdi Khorami
Course Number: 10259