Introduction to Econometrics, Operations Research and Mathematical Economics


Course Objective

Introducing the principles of the fields within the bachelor.

Course Content

The goal of econometrics is to describe the relations between
observations as a useful model, from which predictions and inference can
be made.
This introduction presents some first filters which can be used for a
predictions, and continues with the principles of regression, applied to
real data.

Operations Research:
Core business in Operations Research is optimization. Several problems
from network optimisation are covered, among which the shortest path
problem, the minimal spanning tree problem, and the maximum flow
problem. For these problems, the mathematical structure is studied
leading to the design of algorithms for solving them. A glimpse will be
offered on complexity theory by analyzing the computation time of these
algorithms theoretically.

Mathematical Economics:
Within economic science frequent use is made of mathematical models.
Many of these models try to explain the choices of economic agents in
their economic environment.
In this introduction, we set the first steps in modelling mathematically
the decision processes in economics, looking both at behaviour
surrounding individual choice in strategic decision situations, and at
cooperative decision making.

Teaching Methods


Method of Assessment

The mark of the exam will only be registered officially once the
Language proficiency test (taaltoets) has been passed. (The language
test is obligatory for first-year VU students.)



Recommended background knowledge

Probability Theory, Linear Algebra, Analysis I

General Information

Course Code E_EOR1_IEOMF
Credits 6 EC
Period P3
Course Level 100
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. C.S. Bos
Examiner dr. C.S. Bos
Teaching Staff dr. I.D. Lindner
dr. L.F. Hoogerheide
prof. dr. J.R. van den Brink
prof. dr. L. Stougie

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture
Target audiences

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