Courses NonDegree Display 2020-2021

Course Description To PDF
Course title Dynamic Modelling and Dynamic Optimisation
Course code EBC2116
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
4 1-2-2021 26-3-2021 X X
Level Advanced
Coordinator Ton Storcken, Hans de Graaff
For more information: t.storcken@maastrichtuniversity.nl; h.degraaff@maastrichtuniversity.nl
Language of instruction English
Goals
In this course the student will learn to analyse stability properties of equilibria of dynamic systems in qualitative terms,
to apply the maximum principle to optimal control problems, draw phase diagrams with Mathematica and use these to analyse solutions of optimal control problems.
Description
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. THE INFORMATION PROVIDED HERE IS BASED ON THE COURSE SETUP PRIOR TO THE CORONAVIRUS CRISIS. AS A CONSEQUENCE OF THE CRISIS, COURSE COORDINATORS MAY BE FORCED TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS. Besides a great amount of static models in Economic Theory dynamic models are also frequently studied. These models can be found in various fields such as Macro and Micro Economics, Public Choice, Game Theory and Finance. First, dynamic models, in terms of systems of differential equations are studied with respect to stability. Next optimal control problems are solved by means of the maximum principle of Pontryagin. Applications range from optimal investment to optimal fishing and problems concerning environmental economics.
Literature
LĂ©onard, D. and N. van Long, Optimal Control Theory and Static Optimization in Economics, Cambridge University Press, Cambridge, UK, 1992, ISBN 0-521-33746-1
Electronic Courseware for Mathematica.
Prerequisites
The student should be familiar with
- linear differential equations,
- non-linear optimisation,
- standard calculus on functions of more than one variable.

Exchange students need to follow a Bachelor in economics.
An advanced level of English.
Teaching methods (indicative; course manual is definitive) PBL / Lecture / Assignment / Groupwork
Assessment methods (indicative; course manual is definitive) Final Paper / Written Exam / Presentation
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Bachelor Economics and Business Economics - Economics Year 3 Quantitative Economics Elective(s)
Bachelor Economics and Business Economics - Emerging Markets Year 3 Elective Course(s)
Bachelor Economics and Business Economics - Economics and Management of Information Year 2+3 Quantitative Economics Elective(s)
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Bachelor Economics and Business Economics - International Business Economics Year 3 QE Elec(s) - Maj Finance
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Bachelor Economics and Business Economics - International Business Economics Year 3 QE Elec(s) - Maj Marketing
Bachelor Economics and Business Economics - International Business Economics Year 3 QE Elec(s) - Maj Org
Bachelor Economics and Business Economics - International Business Economics Year 3 QE Elec(s) - Maj SCM
Bachelor Economics and Business Economics - International Business Economics Year 3 QE Elec(s) - Maj Strategy
Bachelor International Business - Emerging Markets Year 3 Elective Course(s)
Bachelor International Business Year 3 QE Elec(s) - Maj Accounting
Bachelor International Business Year 3 QE Elec(s) - Maj Finance
Bachelor International Business Year 3 QE Elec(s) - Maj Inf Mgmt
Bachelor International Business Year 3 QE Elec(s) - Maj Marketing
Bachelor International Business Year 3 QE Elec(s) - Maj Org
Bachelor International Business Year 3 QE Elec(s) - Maj SCM
Bachelor International Business Year 3 QE Elec(s) - Maj Strategy
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