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| Semester | fall semester 2020 |
| Course frequency | Every fall sem. |
| Lecturers | Dietmar Maringer (dietmar.maringer@unibas.ch, Assessor) |
| Content | This course provides an introduction to different computational methods relevant in economics and business, combining theoretical concepts with hands-on implementations. The main topics are: * introduction to programming with Python, * fundamental numerical techniques (roots, systems of equations, unconstrained optimization), and * basics of Monte Carlo simulation. |
| Learning objectives | Participants should be able to implement economic and business models and to solve them numerically, using Python. This course is also meant as foundation for subsequent courses such as "Compuational Economics" and "Advanced Computational Economics", to be held in the spring term. |
| Bibliography | Langtangen, H. P. A Primer on Scientific Programming Using Python Springer, 2014 Miranda, M. J. & Fackler, P. L. Applied Computational Economics and Finance The MIT Press, 2002 Brandimarte, P. Numerical Methods in Finance and Economics, Wiley-Interscience, 2006 Gilli, M.; Maringer, D. & Schumann, E. Numerical Methods and Optimization in Finance, Academic Press, 2nd edition 2019. (or 1st ed., 2011) |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Specialization Module: Quantitative Methods (Master's Studies: Business and Economics) |
| Assessment format | end-of-semester examination |
| Assessment details | Active participation, assignments, and written final exam. Details to be agreed during the course. written exam: 12.01.21; 14:15-15:00. Electronic Exam. In case COVID-19 protective measures prevent examination on site, the faculty reserves the right to conduct the examination electronically during the same time slot. The exam rooms will be published up to 05.12.20. |
| Assessment registration/deregistration | Registration: course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
| Offered by | Faculty of Business and Economics |