Introduction to Dynamic Optimization (5 cr)

Code:
AGERE-E08
Field:
Environmental Economics
Targets:
Master’s students Research Master's students PhD students
Organiser:
University of Helsinki - Environmental Economics
Instructor:
Olli Tahvonen
Period:
Period 3
Format:
Lecture
Method:
Contact teaching
Venue:
Viikki campus

In case of conflicting information consider the Sisu/Courses/Moodle pages the primary source of information.

Contents:

Kuhn-Tucker theorem in dynamic optimization, optimal control theory, dynamic programming, AMPL language in optimization, Maple software.

  • Completion method: contact teaching
  • Schedule: can be found in Course Page and Sisu
  • Study materials: can be found in Moodle
    • For some courses, it is enough to register in Sisu and you can access directly the Moodle area, please note, however, that it may take up to two hours after registration to enter the Moodle area.
    • Log in with your UH username to be able to use all the features of the course workspace
    • More tips for enrolling in Moodle can be found here

Please register for the course in the UH Sisu with your UH username. Further instructions can be found here.

Aalto University Students
  • Code: no equivalent code

  • Target groups: MSc / rMSc / PhD

  • Credit points: 5

  • Credit transfer: apply for inclusion in Sisu

Further information on credit transfer can be found here.

Hanken Students
  • Code: 26074

  • Target groups: MSc / rMSc / PhD

  • Credit points: 5

  • Credit transfer: apply for substitution in Sisu

Further instructions on credit transfer can be found here.

University of Helsinki Students
  • Code: AGERE-E08

  • Target groups: MSc / rMSc / PhD students: please contact your supervisor/program director to be sure that the course credit can be counted towards your degree

  • Credit points: 5

FDPE Students Students
  • Please contact your supervisor/program director to be sure that the course credit can be counted towards your degree

  • Credit transfer: please apply for credit transfer according to your home university’s procedures

Further instructions can be found here.

To present knowledge and application skills for the methods of dynamic optimization in economics and in environmental and natural resource economics.