Decision-making methods
Course: Data science
Structural unit: Faculty of information Technology
            Title
        
        
            Decision-making methods
        
    
            Code
        
        
            ВБ 1.2
        
    
            Module type 
        
        
            Вибіркова дисципліна для ОП
        
    
            Educational cycle
        
        
            First
        
    
            Year of study when the component is delivered
        
        
            2021/2022
        
    
            Semester/trimester when the component is delivered
        
        
            5 Semester
        
    
            Number of ECTS credits allocated
        
        
            5
        
    
            Learning outcomes
        
        
            PR7.Understand the principles of modeling organizational and technical operations; use operations research methods, solving single- and multi-criteria optimization problems of linear, integer, non-linear, stochastic programming.
PR18.Apply modern technologies of automation of analysis, design and development of complex objects and systems at various stages of their life cycle.
3K11.Ability to make informed decisions.
 СК6.Ability to system thinking, application of the methodology of system analysis for the study of complex problems of various nature, methods of formalization and solution of systemic ones
tasks with conflicting objectives, uncertainties and risks.
СК18.2 Ability to use modern intelligent information technologies to create applied intelligent systems
        
    
            Form of study
        
        
            Distance form
        
    
            Prerequisites and co-requisites
        
        
            Know the basics of higher mathematics (linear algebra, basics of mathematical analysis, differential equations, integral and differential calculus) and operations research.
To be able to perform the analysis of simple problems to determine the structure of input and output information, the selection of methods and algorithms for their software processing.
Have the skills to work with tools for implementing single-criteria optimization methods and algorithms, develop appropriate programs in high-level languages, in particular, packages for scientific research.
        
    
            Course content
        
        
            During the study of the discipline, competences and abilities are formed to carry out a formalized description of operations research tasks in organizational-technical and socio-economic systems of various purposes, to determine their optimal solutions, to build optimal management models taking into account changes in the economic situation, to optimize management processes in systems of various purposes and levels hierarchies; to system thinking, application of the methodology of system analysis for the study of complex problems of various nature, methods of formalization and solving of system problems that have conflicting goals, uncertainties and risks; make informed decisions; apply decision-making technologies in poorly structured subject areas when creating intelligent information systems; application of modern intelligent information technologies for the creation of applied intelligent systems.
        
    
            Recommended or required reading and other learning resources/tools
        
        
            Волошин О.Ф., Мащенко С.О. Моделі та методи прийняття рішень. Навчальний посібник. - Київ: ВПЦ „Київський університет”, 2020. - 336с.
Волошин О.Ф., Мащенко С.О. Теорія прийняття рішень. Навчальний посібник. - Київ: ВПЦ „Київський університет”, 2010. - 304с.
Л.С. Коряшкіна, Ус С.А. Моделі й методи прийняття рішень: навч. посіб.  М-во освіти і науки України, Нац. техн. ун-т «Дніпровська політехніка». – 2-ге вид. випр. – Дніпро : НТУ «ДП», 2018. – 300 с.
Системи та методи прийняття рішень. Методичні рекомендації до виконання лабораторних робіт студентами напряму підготовки 6.040303 Системний аналіз / С.А. Ус. – Д.: Національний гірничий університет, 2013. –55 с.
Волошин О.Ф., Мащенко С.О. Методичні рекомендації до виконання практичних і лабораторних робіт з теорії прийняття рішень. - Київ: ВПЦ „Київський університет”, 2001. - 46с. 
        
    
            Planned learning activities and teaching methods
        
        
            Lectures, Laboratory classes,  Student's work independently
        
    
            Assessment methods and criteria
        
        
            During the semester, students perform laboratory exercises, and two written tests are also conducted. With the prior consent of the teacher, the student may be credited with learning results confirmed by certificates of the Coursera online platform as part of laboratory work.The maximum number of points that a student can receive for work in a semester does not exceed 60 points. A student is not allowed to take the exam if he scored less than 36 points during the semester (less than 60% of the maximum possible number of points that the student can receive for work in the semester). The critical calculation minimum is 20 points. At the same time, it is mandatory to perform all laboratory work and independent work, to receive a positive evaluation from control works. If a student received less than 24 points during the exam, he is given an "unsatisfactory" grade, and the points scored are not counted.
        
    
            Language of instruction
        
        
            Ukrainian
        
    Lecturers
This discipline is taught by the following teachers
Faculty of information Technology
Departments
The following departments are involved in teaching the above discipline
                        Faculty of information Technology