Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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
Get familiar with problem solving in operations research.
Credits: 5
Schedule: 07.09.2020 - 02.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Kai Virtanen
Teacher in charge (applies in this implementation): Kai Virtanen
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
Two fairly large assignments on the implementation and analysis of mathematical models. The assignments deal with optimization and stabilization and control of a large scale system.
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
Assignments and written reports
Workload
Valid 01.08.2020-31.07.2022:
Contact hours 52 h
Autonomous studies 75h
DETAILS
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
Mat-2.4133 Systems analysis laboratory II
Prerequisites
Valid 01.08.2020-31.07.2022:
MS-E2122 Nonlinear Optimization, MS-E2148 Dynamic Optimization. Taking the course simultaneously with MS-E2129 System Identification is recommended.