Course ObjectiveThe course builds on the mathematics that has been offered at high
school ("Wiskunde A"). After taking this course, the student should have
- understands the concepts of differentiation, integration and
optimization of functions of one and more variables.
- is able to work with limits, sequences and series.
- is familiar with the basics of stochastic vectors and (multivariate)
probability density functions.
and quantitative skills:
- can analytically optimize (constrained) functions, applying his
knowledge about (partial) derivatives.
- is able to analyse linear regression models.
Course ContentIn this Pre-MSc course, students study the necessary knowledge and
skills for quantitative analysis required throughout the MSc program. We
cover a broad range of topics, such that you can easily handle the
mathematical content encountered in the courses investments, Asset
Pricing, Derivatives and Empirical Finance. You develop a thorough
understanding of (partial) differentiation and optimization of functions
with one and more variables. In addition, you understand the concept of
limits, sequences and series, which are frequently used in time-series
models. Finally, you get a primer of stochastic vectors and multivariate
probability functions, which come back in the research methods related
topics in the master program. e.g. the linear regression model, which is
one of the most used models in finance.
Teaching MethodsThe course consists of 18 sessions over a period of six weeks. Each
session takes 2 hours, and will be in particular instruction sessions
with the purpose of practicing by doing exercises. In addition, the
sessions will be brief lectures with the purpose of exposing the
Method of AssessmentThe assessment consists of a final exam, which is made up of open
LiteratureThe course relies on the following book: K. Sydsaeter & P. Hammond,
Essential Mathematics for Economic Analysis, 5th Edition, Pearson, 2016,
ISBN 9781292074610. The VU-bookshop offers a special edition
with an access code for online training ("MyMathLab
Global access card"). Using MyMathLab is not mandatory for this course,
and it is not supported by the teachers. Additional documents that are
essential for this course will be available at the Canvas system.
Last modification: October 29, 2018
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||dr. T. Artiga Gonzalez|
|Examiner||dr. T. Artiga Gonzalez|
dr. L. Lu
dr. S.A. Borovkova
dr. T. Artiga Gonzalez
You need to register for this course yourself
Last-minute registration is available for this course.
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