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23525-01 - Lecture: Computational Economics (3 CP)

Semester spring semester 2015
Course frequency Every spring sem.
Lecturers Dietmar Maringer (dietmar.maringer@unibas.ch, Assessor)
Content Summary:
This course covers traditional and innovative computational methods for economics and management. Topics include, but are not limited to
- approximation and interpolation
- numerical differentiation and integration
- simulation methods, in particular Monte-Carlo simulation
- deterministic and selected non-deterministic optimization and search techniques
- basic concepts in computational intelligence
Learning objectives Learning Goals:
Successful participants should be familiar with numerical methods, necessary to approach and solve quantitative problems in economics and business. Also, they will acquire programming skills to implement economic / management models and the necessary methods.
Bibliography to be announced
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Course application Registration: Please enrol in MOnA. EUCOR-Students and Exchange-Students have to enrol at the students administration office (studsek@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

No dates available. Please contact the lecturer.

Modules Spezialisierungsmodul: Areas of Specialization in International and/or Monetary Economics (Master International and Monetary Economics)
Statistics and Computational Science Module (Master Actuarial Science)
Vertiefungsmodul Quantitative Methods (Master Business and Economics)
Assessment format end-of-semester examination
Assessment details final exam + course work.
written exam: 09.04.2015; 14:15-16:00. WWZ S14: A-Z.
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 Abteilung Quantitative Methoden: Ökonometrie und Statistik

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