LEARNING OUTCOMES
- Understand how several important problems arising from diverse fields can be cast and solved as nonlinear optimisation problems;
- Know the main techniques for solving nonlinear optimisation problems and how to apply them in practice;
- Know how to use optimisation software for implementing and solving nonlinear optimisation problems.
Credits: 5
Schedule: 16.09.2021 - 23.12.2021
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Fabricio Pinheiro de Oliveira, Nikita Belyak
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:
In this course, the student will learn the basic optimisation theory behind the main numerical algorithms available and how they can be applied to solve optimisation problems. At the end of the course, it is expected that the student will be capable of analysing the main characteristics of an optimisation problem and decide what is the most suitable method to be employed for its solution.
Assessment Methods and Criteria
valid for whole curriculum period:
Homework and project assignments.
Workload
valid for whole curriculum period:
Contact hours: 48h (12 x 2h lectures and 12 x 2h exercises). Attendance is not compulsory.
Self study: 93h (5 home exercises - 5h each plus 2 project assignments - 10h each; remainder for revising content of lectures and exercise sessions)
DETAILS
Study Material
valid for whole curriculum period:
Lecture notes and course slides available at course's MyCourses homepage
Additional supplementary bibliography indicated in the lecture notes.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Autumn I-II
2021-2022 Autumn I-II
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=MS-E2122
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.