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| Semester | fall semester 2022 |
| 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, * selected topics from computer science (software engineering, algorithms, data structures) * fundamental numerical techniques (roots, systems of equations, unconstrained optimization), and * basics of Monte Carlo simulation. |
| Learning objectives | Participants will 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 with strong computational components. |
| 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) |
| Course application | Registration: Please enrol in the Online Services before the course starts. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period. In order to get access to ADAM in time, it is best to enrol before the course starts though. Enrolment = Registration for the exam! |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Thursday | 10.15-12.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| wöchentlich | Friday | 10.15-12.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Modules |
Module: Core Courses in Data Science and Computational Economics (Master's Studies: Business and Economics) Module: Core Courses in Finance and Money (Master's Studies: Finance and Money) Module: Field Electives in Economics and Public Policy (Master's Studies: Economics and Public Policy) Module: Field Electives in Finance and Money (Master's Studies: Finance and Money) Module: Fundamentals in Business and Technology (Master's Studies: Business and Technology) Module: Specific Electives in Business and Economics (Master's Studies: Business and Economics) Module: Specific Electives in Data Science and Computational Economics (Master's Studies: Business and Economics) Specialization Module: Quantitative Methods (Master's Studies: Business and Economics (Start of studies before 01.08.2021)) |
| Assessment format | record of achievement |
| Assessment details | Active participation, assignments, and written final exam. Details to be agreed during the course. written exam: 17.11.22; 10:15-11:15. WWZ Auditorium:A-Z. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel 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 |