Course detail
Computing Methods in Optimization Problems
FSI-VOU Acad. year: 2022/2023 Winter semester
The course introduces to the basic concepts of optimization and the use of appropriate software. Subsequently, optimization problems in engineering are solved. The main content of the course is to recognize and use a suitable model and methods for specific engineering tasks.
Language of instruction
Czech
Number of ECTS credits
7
Supervisor
Department
Learning outcomes of the course unit
The student will aquire the ability to recognize a suitable optimization model for a given engineering problem. The student will be able to implement said model in an adequately chosen software and analyze the results.
Prerequisites
Basic of differential and integral calculus, linear algebra, probability and statistics, and programming.
Planned learning activities and teaching methods
The explanation of theory, basic principles and illustrative demonstrations on concrete examples will be given in lectures. Exercises will follow the lectures and will be of a computer character.
Assesment methods and criteria linked to learning outcomes
The course will be completed by graded course-unit credit. Students develop a project on a specific topic. Final classification of the course is according to ECTS scale.
Work placements
Students will be sent to internships according to contracts and currently offered courses at partner universities.
Aims
The emphasis is on the aquisition of application-oriented of optimization models and methods, and on the use of computers and available software.
Specification of controlled education, way of implementation and compensation for absences
Controlled participation in computer lessons.
Recommended optional programme components
Williams, H.P. Model Building in Mathematical Programming, 4th edition. J.Wiley and Sons, 2012. (EN)
Boyd, S.P. a Vanderberghe, L. Convex Optimization, Cambridge University Press, 2004. (EN)
The study programmes with the given course
Programme B-STR-P: Engineering, Bachelor's
specialization AIŘ: Applied Computer Science and Control, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
Syllabus
1. Introduction to optimization (basic concepts).
2. Software tools for optimization: languages/enviroments: EXCEL, MATLAB, Julia. The use of solvers.
3. – 5. Optimization problems in engineering, types of optimization models (linear, quadratic, convex, etc.)
6. – 7. Integer programming problems – applications in logistics, scheduling, etc.
8. Linearization, modelling with SOS1 and SOS2 variables.
9. Black-box optimization and optimization within a simulation environment.
10. Dynamic optimization models.
11. – 13. Models with uncertain data – stochastic and robust formulations.
Computer-assisted exercise
39 hours, compulsory
Teacher / Lecturer
Syllabus
The exercise follows the topics discussed in the lecture. The main focus is on software implementation.