Research of Operations
Course: System Analysis
Structural unit: Faculty of Computer Science and Cybernetics
            Title
        
        
            Research of Operations	
        
    
            Code
        
        
            ОК.25
        
    
            Module type 
        
        
            Обов’язкова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2024/2025
        
    
            Semester/trimester when the component is delivered
        
        
            4 Semester
        
    
            Number of ECTS credits allocated
        
        
            7
        
    
            Learning outcomes
        
        
            LO04. Perform mathematical description, analysis and synthesis of discrete objects and systems, using the concepts and methods of discrete mathematics and algorithm theory.
LO10. Have methods for choosing rational methods and algorithms for solving mathematical problems.
LO02. Have basic principles and methods of mathematical, complex and functional analysis, linear algebra and number theory, analytical geometry, theory of differential equations, including partial differential equations, probability theory, mathematical statistics and random processes, numerical methods.
LO14. Demonstrate the ability to self-study and continue professional development.
        
    
            Form of study
        
        
            Prerequisites and co-requisites
        
        
            Be able to:
1. to study the qualitative characteristics of the constructed mathematical models.
2. formulate mathematical optimization problems for such models.
3. apply classical methods for the study of applied problems of mathematical programming.
 Possess:
1. skills of using classical methods of mathematical analysis and theory of linear algebra.
2. skills of formulation and algorithms for solving linear programming problems.
3. skills of search and analysis of information in open sources.
        
    
            Course content
        
        
            Block 1. Linear programming problem. Simplex method of solving LP problems.
Topic 1. INTRODUCTION. General linear programming problem (LLP)
Topic 2. Solving LP problems. Simplex method
Test work
Block 2. Theory of LP duality.
Topic 3. Duality in the problems of LP.
Topic 4. Dual simplex method.
Test work
Block 3. Transport task. Streams on networks.
Topic 5. Transport task
Topic 6. Streams on networks.
Test work
Block 4. Discrete and integer programming.
Topic 7. Discrete programming (DP). The problem of optimal assignments.
Topic 8. Methods of segments of solving problems of integer linear programming
Topic 9. The method of branches and borders
Block 5. Elements of game theory.
Topic 10. INTRODUCTION to game theory. Matrix games.
Topic 11. Mixed strategies and the relationship with PLL
Test work
Block 6. Nonlinear programming (NP).
Topic 12. Review of methods and models of emergency. General issues of nonlinear programming.
Topic 13. Convex programming (OP).
Topic 14. Gradient methods and the method of possible directions
Topic 15. Methods of penalty and barrier functions
        
    
            Recommended or required reading and other learning resources/tools
        
        
            1. Nefedov Yu. M. Methods of optimization in examples and problems: textbook / Yu. M. Nefedov, T. Yu. Balytska. - Київ: Кондор, 2011. - 324 с.
2. Zaichenko YP Research operations. Textbook / Yu. P. Zaichenko. - 7th ed., Reworked. and add. - Kyiv: Slovo Publishing House, 2006. - 816 p.
3. Dziuban IY Methods of research operations / IY Dziuban, OL Zhirov, OG Okhrimenko. - Kyiv: IPC "Polytechnic Publishing House", 2005. - 108 p.
4. Nakonechny SI Mathematical programming: textbook. way. / SI Nakonechny, SS Savina. - Kyiv: KNEU, 2003. - 452 pp. Research of operations in economics: textbook / ed. IK Fedorenko, OI Chernyak. - Kyiv: Knowledge, 2007. - 558 p. - (Higher education of the XXI century).
5. Hamdy A. Taha, Operations Research: An Introduction, 10th Edition,, University of Arkansas, © 2017, Pearson
Additionally:
6. Yu.D. Popov, VI Tyuptya, VI Shevchenko “Optimization methods”, K., 2000
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, practice work, independent work, recommended literature processing, homework. 
        
    
            Assessment methods and criteria
        
        
            Intermediate assesement:
The maximal number of available points is 60.
Personalized take-home assignment for submission.
Final assessment (in the form of exam):
The maximal number of available points is 40.
The form of exam: writing. The types of assignments are 2 writing assignments.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
                    Roman 
                    Ya.
                    Yakymiv
                
                
                    Operations Research  
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
                    Alexander
                    M.
                    Iksanov
                
                
                    Operations Research  
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
                    Ivan 
                    K.
                    Matsak 
                
                
                    Operations Research  
Faculty of Computer Science and Cybernetics
            Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
                        Operations Research 
                    
                    
                        Faculty of Computer Science and Cybernetics
                    
                
                        Operations Research 
                    
                    
                        Faculty of Computer Science and Cybernetics
                    
                
                        Operations Research 
                    
                    
                        Faculty of Computer Science and Cybernetics