The Mathematical Methods for Quantitative Finance course reviews the mathematical methods fundamental for the study of quantitative and computational finance. The areas of focus include calculus and multivariable calculus, constrained and unconstrained
optimization, and linear algebra.
Topics covered include the following:
Functions and inverse functions
Limits, derivatives, partial derivatives, and chain rule
Integrals and multiple integrals, changing the order of differentiation and integration
Taylor series approximations
Lagrange multiplier method
Vector and matrix arithmetic, determinants, eigenvalue-eigenvector decomposition, singular value decomposition
Numerical methods for optimization
Upon completion of the course students will know the fundamental mathematical
concepts needed to effectively study quantitative finance areas such as
fixed income, options and derivatives, portfolio optimization,
and quantitative risk management.
Upon completion of the course students will:
Understand the concept of a limit, differentiation, and integration;
Be able to compute partial derivatives and multiple integrals;
Understand the utility of matrix decompositions;
Be able to use Lagrange multipliers to solve constrained optimization problems; and
Apply the above methods to problems arising in finance.
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.