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58989-01 - Lecture: Computing for Business and Economics (3 CP)

Semester fall semester 2025
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 provides the 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)

 

Admission requirements Completed Bachelor Degree
Course application Registration: Please enroll in the Online Services (services.unibas.ch);

Eucor-Students and mobility students of other Swiss Universities or the FHNW first have to register at the University of Basel BEFORE the start of the course and receive their login data by post (e-mail address of the University of Basel). Processing time up to a week! Detailed information can be found here: https://www.unibas.ch/de/Studium/Mobilitaet.html
After successful registration you can enroll for the course in the Online Services (services.unibas.ch).

Applies to everyone: Enrolment = Registration for the course and the exam!
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium

Dates

Date Time Room
Wednesday 17.09.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 24.09.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 01.10.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 08.10.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 15.10.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 22.10.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 29.10.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 05.11.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 12.11.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Wednesday 19.11.2025 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Modules Module: Core Courses in Business and Economics (Master's Studies: Business and Economics)
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: Areas of Specialization in International and/or Monetary Economics (Master's Studies: International and Monetary Economics)
Assessment format exam
Assessment details Active participation, assignments, and written final exam. Details to be agreed during the course.

Date of written exam: tbd


repeat exam: tbd

IMPORTANT:
For courses with main lecture exams, a repetition date is offered in addition to the regular examination date. These repeat exams can only be taken if you have taken part in the regular examination date and if you failed there, i.e. had a grade < 4.0 (see 4.13.4.1 "Sitting Repeat Examinations" in the English translation of the study guide for our master programs from December 13, 2021).
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination one repetition, best attempt counts
Scale 1-6 0,1
Repeated registration one repetition
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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