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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 |
Weblink | Weblink |
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 |
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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 |