Course ObjectiveFinance has become a data-driven science . The objectives of the course
are twofold. First, to introduce programming in Python for Finance
students. Second, to address and solve financial problems using Python.
The overarching goal is to develop Python skills that are applicable in
the workplace and to prepare students for more advanced Python
Course ContentThe course will first review basic programming in Python and then move
on to numerical computing, data analysis and visualization. Finally, we
will address financial problems, such as option pricing using binomial
trees and Monte Carlo methods as well as asset pricing, using the
techniques taught during the first part of the course.
Teaching MethodsLectures and computer labs
Method of AssessmentAssignments(s)¶
Take home exam
LiteratureHilpisch, Y. (2019). Python for Finance, Second edition, O’Reilly.
Recommended background knowledgeStudents are expected to be familiar with basic finance (corporate
finance, investments) and a strong interest (but not necessarily
extensive experience) with computer programming.
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||dr. K.L. Wolk|
|Examiner||dr. K.L. Wolk|
dr. K.L. Wolk
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Lecture, Study Group|
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