Quantitative Research Methods I- Period 1

Business & Economics Program
Amsterdam, Netherlands

Dates: 8/20/22 - 12/24/22

Business & Economics

Quantitative Research Methods I- Period 1

Quantitative Research Methods I- Period 1 Course Overview

OVERVIEW

CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Mathematics
Instruction in: English
Course Code: E_EBE1_QRM1
Transcript Source: Partner Institution
Course Details: Level 100
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Active command of mathematics at high school level. It can be helpful to refresh your skills in advance.

DESCRIPTION

Mathematics is a challenging, but highly relevant topic for any student in economics. The process of market and price equilibrium is a good example. In the business and economics literature we see many mathematical models, for instance for assessing risks and optimizing option portfolios. Using such models requires a basic understanding of mathematical principles related to multi-variable calculus, optimization, and expectation. Further, today's simple calculations require basic skills in setting up and handling spreadsheets and typesetting formulas. This course therefore also addresses such general skills. Moreover, mathematics is more than just calculations and numbers, it is language. A language that is essential to understand if you want to develop and acquire an analytical way of thinking that is not only at the core of any academic, but also the successful economics or business professional. It is a first step on the path of understanding the power of quantitative and mathematical approaches to problems you will face as a business and economics student.

Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.

Course includes lab component.


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