19M021UMO - Introduction to optimization methods

Course specification
Course title		Introduction to optimization methods
Acronym		19M021UMO
Study programme		Electrical Engineering and Computing
Module
Type of study		master academic studies
Lecturer (for classes)		professor PhD Darko Šošić professor PhD Goran Dobrić
Lecturer/Associate (for practice)		professor PhD Darko Šošić professor PhD Goran Dobrić
Lecturer/Associate (for OTC)
ESPB		6.0	Status	elective
Condition		None
The goal		Introduction to different optimization methods, understanding the properties of different groups of optimization problems.
The outcome		Students will be trained to solve realistic optimization engineering problems.
Contents
Contents of lectures		Introduction and basic terms. Conventional optimization methods: linear programming, dynamic programming, Newton method, etc. Contemporary optimization methods: genetic algorithm, differential evolution, etc. Application in electrical power systems.
Contents of exercises		Computer implementation of optimization methods.
Literature
Aleksandar Savić, Darko Šošić, Goran Dobrić, Mileta Žarković, Metode optimizacije - Primena u elektroenergetici, Akademska misao, 2018 (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1
Methods of teaching		Lectures and labs (problem-solving and computer implementation).
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	0
Practical lessons		30	Oral examination	30
Projects		40
Colloquia		0
Seminars		0