LEARNING OUTCOMES
Students will be introduced and traines for some fundamental skills for solving convex optimization problems. They will be introduced to duality theory and optimality conditions. They will build a background required to use the convex optimization methods and numerical algorithms in their own research or engineering work. They will be also provided with a number of examples of successful application of convex optimization techniques in engineering, science, and economics.
Credits: 5
Schedule: 03.11.2021 - 15.12.2021
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Sergiy Vorobyov
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:
Optimality conditions, duality theory, theorems of alternative. Minimax, extremal volume, and other application problems. Introduction to interior-point methods.
Assessment Methods and Criteria
valid for whole curriculum period:
Lectures, exercises, assignments, final exam.
Workload
valid for whole curriculum period:
Lectures, exercises, final exam approximately 30 h
Assignments, independent work approximately 103 h
Total 133 h
Attendance in some contact teaching may be compulsory.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Autumn II
2021-2022 Autumn II
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ELEC-E5423
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.
In WebOodi