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19M021UMO - Introduction to optimization methods

Course specification
Course title Introduction to optimization methods
Acronym 19M021UMO
Study programme
Module
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
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
    1. 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