Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

The students learn 
1. the basic notions and classes of dynamic optimization problems, 
2. to build and solve dynamic optimization models.

Credits: 5

Schedule: 11.01.2023 - 23.02.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jonas Tölle

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Optimization methods for dynamic systems: dynamic programming, calculus of variations, maximum principle, numerical solution methods. Application examples on engineering, economics and biology.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Exam. Bonus points from home work and exercise sessions

Workload
  • valid for whole curriculum period:

    Contact hours 48 h. Attendance is not compulsory.
    Voluntary home exercises 15h 
    Autonomous studies 65h

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III
    2023-2024 Spring III

    Enrollment :

    Sisu (sisu.aalto.fi)