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: 04.09.2024 - 28.11.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Cunha Dias
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 assignments.
Workload
valid for whole curriculum period:
Contact hours: 24h (12 x 2h sessions). Attendance is part of the grade.
Self-study: 96h (6 home assignments - 4h each plus; remainder for revising the 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 Language: English
Teaching Period: 2024-2025 Autumn I - II
2025-2026 Autumn I - II