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

Semester fall semester 2021
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 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 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 MOnA. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period. Enrolment = Registration for the exam!
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 08.15-10.00 - Online Präsenz -
wöchentlich Friday 10.15-12.00 - Online Präsenz -

Dates

Date Time Room
Wednesday 22.09.2021 08.15-10.00 - Online Präsenz -, --
Friday 24.09.2021 10.15-12.00 - Online Präsenz -, --
Wednesday 29.09.2021 08.15-10.00 - Online Präsenz -, --
Friday 01.10.2021 10.15-12.00 - Online Präsenz -, --
Wednesday 06.10.2021 08.15-10.00 - Online Präsenz -, --
Friday 08.10.2021 10.15-12.00 - Online Präsenz -, --
Wednesday 13.10.2021 08.15-10.00 - Online Präsenz -, --
Friday 15.10.2021 10.15-12.00 - Online Präsenz -, --
Wednesday 20.10.2021 08.15-10.00 - Online Präsenz -, --
Friday 22.10.2021 10.15-12.00 - Online Präsenz -, --
Wednesday 27.10.2021 08.15-10.00 - Online Präsenz -, --
Friday 29.10.2021 10.15-12.00 - Online Präsenz -, --
Modules Module: Core Courses in Data Science and Computational Economics (Master's Studies: Business and Economics)
Module: Field Electives in Economics and Public Policy (Master's Studies: Economics and Public Policy)
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: 24.11.21; 09:00-10:00. WWZ S15: A-Z.
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.
You can still withdraw from the examination by submitting a completed, signed form to our office from 19.10.21 until 29.10.21 / 12:00 o’clock. Please send your form by mail to belegungstorno-wwz@unibas.ch. You will find the examination withdrawal form on the Homepage of the Student Dean’s Office.
Prior to 18.10.21, please only use MONA for withdrawing.
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

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