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58989-01 - Vorlesung: Computing for Business and Economics 3 KP

Semester Herbstsemester 2023
Angebotsmuster Jedes Herbstsemester
Dozierende Dietmar Maringer (dietmar.maringer@unibas.ch, BeurteilerIn)
Inhalt 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.
Lernziele 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.
Literatur 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)

 

Anmeldung zur Lehrveranstaltung 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!
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Wochentag Zeit Raum
wöchentlich Mittwoch 09.15-12.00 Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37

Einzeltermine

Datum Zeit Raum
Mittwoch 20.09.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 27.09.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 04.10.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 11.10.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 18.10.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 25.10.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 01.11.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Mittwoch 08.11.2023 09.15-11.45 Uhr Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37
Module Modul: Core Courses in Data Science and Computational Economics (Masterstudium: Wirtschaftswissenschaften)
Modul: Core Courses in Finance and Money (Masterstudium: Finance and Money)
Modul: Field Electives in Economics and Public Policy (Masterstudium: Economics and Public Policy)
Modul: Field Electives in Finance and Money (Masterstudium: Finance and Money)
Modul: Fundamentals in Business and Technology (Masterstudium: Business and Technology)
Modul: Specific Electives in Business and Economics (Masterstudium: Wirtschaftswissenschaften)
Modul: Specific Electives in Data Science and Computational Economics (Masterstudium: Wirtschaftswissenschaften)
Leistungsüberprüfung Examen
Hinweise zur Leistungsüberprüfung Active participation, assignments, and written final exam. Details to be agreed during the course.

Date of written exam: 22.11.23; 8:45-9:45. WWZ S14: A-K, WWZ S15: L-Z.
You can still withdraw from the examination by submitting a completed, signed form to our office from 17.10.23 until 27.10.23 / 12:00 o’clock. The deregistration form and the mail address can be found on the homepage of the Dean of Studies Office: https://wwz.unibas.ch/en/studies/examinations/de-/registration-of-examinations/
Prior to 16.10.23, please deregister only in the Online Services.
repeat exam: 02.02.24; 14.15-15.15. You will receive the rooms for the repeat exam by mail.

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).
An-/Abmeldung zur Leistungsüberprüfung Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
Wiederholungsprüfung eine Wiederholung, bester Versuch zählt
Skala 1-6 0,1
Wiederholtes Belegen einmal wiederholbar
Zuständige Fakultät Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch
Anbietende Organisationseinheit Wirtschaftswissenschaftliche Fakultät / WWZ

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