Applied mathematics
Faculty of Computer Science and Cybernetics
            Name
        
        
            Applied mathematics
        
    
            Program code
        
        
            113
        
    
            Qualification awarded
        
        
            Master of Applied Mathematics
        
    
            Length of programme
        
        
2 years        
    
            Number of credits
        
        
            120
        
    
            level of qualification according to the National Qualification Framework and the European Qualifications Framework 
        
        
            7
        
    
            Qualification level
        
        
            Second (Master)                                   
        
    
            Discipline
        
        
            Mathematics and statistics
        
    
            Speciality
        
        
KnowledgeField EN        
    
            Specific admission requirements
        
        
Bachelor's degree
        
    
            Specific arrangements for recognition of prior learning
        
        
            
On the basis of entrance examinations conducted in the form of:
• a single entrance exam in a foreign language in the form of a test; • professional entrance examination conducted by the University.
        
    • a single entrance exam in a foreign language in the form of a test; • professional entrance examination conducted by the University.
            Qualification requirements and regulations, including graduation requirements
        
        
            After defending the master's thesis and a comprehensive exam in applied mathematics, the qualification is awarded: "Master of Applied Mathematics". Additional qualification "Junior Researcher (Computer Systems)", "Applied Programmer" (grades: 1. DVVS> = 75 b; 2. Internships> = 75 b; 3. Defense of master's qualification work> = 75 b.) .
        
    
            Programme learning outcomes
        
        
            PLO1. Be able to use of in-depth professional knowledge and practical skills to optimize the design of models of any complexity, to solve specific problems of designing intelligent information systems of different physical nature.
PLO2. Understanding of the principles and methods of analysis and evaluation of the range of tasks that contribute to the further development of effective use of information resources.
PLO3. Gaining knowledge for the ability to evaluate existing technologies and on the basis of analysis to form requirements for the development of advanced information technologies.
PLO4. Be able to determine the type of data integration required for a task.
PLO5.  Be able  to carry out effective communicative activities of the project development team.
PLO6. Be able  to design and use existing data integration tools, process data stored in different systems.
PLO7. Be able  to organize, configure and develop Web-systems using the principles of distributed systems, hypertext systems, appropriate hardware and software.
PLO8. Communicate effectively on information, ideas, problems and solutions with professionals and society at large.
PLO9. Collect and interpret relevant data and analyze complexities within their specialization to make judgments that reflect relevant social and ethical issues.
 PLO10. Be able  to build models of physical and production processes, design of storage and data space, knowledge base, using charting techniques and standards for information systems development.
http://csc.knu.ua/uk/filer/canonical/1642859065/1717/
        
    
            Form of study
        
        
Full-time form        
    
            Examination regulations and grading scale
        
        
            Meet the requirements of the "Regulations on the organization of the educational process at the Taras Shevchenko National University of Kyiv." http://nmc.univ.kiev.ua/docs/poloz_org_osv_proc-2018.pdf
        
    
            Оbligatory or optional mobility windows (if applicable)
        
        
            Carried out in accordance with agreements on international cooperation and coordination in the field of education and science. In particular, according to the Agreement on Double Diplomacy between Kyiv National University. Taras Shevchenko and Universita Degli Studi de L'Aquila (Aquila, Italy).
        
    
            Work placement
        
        
            Industrial practice can be conducted both on the basis of the graduating department and on the basis of enterprises, organizations, research institutes, banks, insurance companies and other institutions engaged in the design, development, implementation and operation of automated information systems. The choice of practice bases is carried out in coordination with the graduating department, taking into account the tasks of practice and the possibility of their implementation. In particular, the following organizations can act as bases of production practice: Samsung, GlobalLogic, Avora, EPAM, SoftServ, InfoPulse, DataArt and others.
        
    
            Work-based learning
        
        
            -
        
    
                    Director of the course
                
                 
                
                        Ihor
                        V.
                        Samoilenko
                    
                    
                        Operations Research  
Faculty of Computer Science and Cybernetics
                Faculty of Computer Science and Cybernetics
            Occupational profiles of graduates
        
        
            Professional activity as a specialist in the development of mathematical methods, models, algorithms and software designed for research, analysis, design of processes and systems in various specific subject areas.
        
    
            Access to further studies
        
        
            Obtaining education under the educational program of the third (educational-scientific) level of higher education and obtaining additional qualifications in the adult education system.
        
    Subjects
As part of the curriculum, students study the following disciplines
                        Numerical modeling technologies
                    
                    
                        Code: ННД.07,
                        
                    
                
                        Project management
                    
                    
                        Code: ОК.06,
                        
                    
                
                        Complementary chapters of functional analysis/ Module 1. Applied functional analysis.
                    
                    
                        Code: ,
                        
                    
                
                        Actual problems of applied mathematics
                    
                    
                        Code: ,
                        
                    
                
                        Theory of optimization in functional spaces
                    
                    
                        Code: ,
                        
                    
                
                        Advanced functional analysis. Module 1. Applied functional analysis. Module 2. Convex and nonlinear 
                    
                    
                        Code: ,
                        
                    
                
                        Dynamic system modeling
                    
                    
                        Code: ОК.05,
                        
                    
                
                        Operating Systems
                    
                    
                        Code: OK.09,
                        
                    
                
                        Numerical modeling of system dynamics
                    
                    
                        Code: ,
                        
                    
                
                        Pattern Recognition.
                    
                    
                        Code: ,
                        
                    
                
                        Professional and Corporate Ethics
                    
                    
                        Code: ,
                        
                    
                
                        Computer-analytical modeling
                    
                    
                        Code: ОК.17,
                        
                    
                
                        Mathematical models of cybernetics
                    
                    
                        Code: ДВС.3.02,
                        
                    
                
                        Modern problems of computational mathematics
                    
                    
                        Code: ,
                        
                    
                
                        Methods of analysis of operator systems 
                    
                    
                        Code: ,
                        
                    
                
                        Nonclassical optimal control problems
                    
                    
                        Code: ,
                        
                    
                
                        Operator algebras and quantum information theory
                    
                    
                        Code: ДВС.3.01,
                        
                    
                
                        Fundamentals of artificial intelligence
                    
                    
                        Code: ННД.04,
                        
                    
                
                        Set-valued analysis
                    
                    
                        Code: ДВВ.01.01,
                        
                    
                
                        Methods of artificial intelligence
                    
                    
                        Code: ДВС.3.02.01,
                        
                    
                
                        Preparation of the master's thesis
                    
                    
                        Code:  ННД.15,
                        
                    
                
                        INTERNSHIP "Methods of modeling and optimization of complex systems"
                    
                    
                        Code:  ННД.14,
                        
                    
                
                        Technologies of Processing and Analysis of Information
                    
                    
                        Code: ДВС.3.03.02,
                        
                    
                
                        Nonclassical problems of mathematical physics 
                    
                    
                        Code: ,
                        
                    
                
                        Modern problems of applied mathematics
                    
                    
                        Code: ДВС.3.0.3,
                        
                    
                
                        Basics of nonlinear dynamics
                    
                    
                        Code: ОК.14,
                        
                    
                
                        Problems of non-classic optimization
                    
                    
                        Code: ОК.13,
                        
                    
                
                        Methods of non-smooth optimization
                    
                    
                        Code: ОК.18,
                        
                    
                
                        Numerical modeling of system dynamics
                    
                    
                        Code: ННД.10,
                        
                    
                
                        Modern problems of computational mathematics
                    
                    
                        Code: ДВС.1.01,
                        
                    
                
                        Pattern Recognition
                    
                    
                        Code: ННД.08,
                        
                    
                
                        Complementary chapters of functional analysis/ Module 1. Applied functional analysis.Module 2.Convex
                    
                    
                        Code: ДВВ.03,
                        
                    
                
                        Nonclassical problems of mathematical physics 
                    
                    
                        Code: ДВС.1.03,
                        
                    
                
                        Advanced Topics in Mathematical Analysis
                    
                    
                        Code: ДВВ.01.02,
                        
                    
                
                        Actual problems of applied mathematics
                    
                    
                        Code: OK.11,
                        
                    
                
                        Theory of optimization in functional spaces
                    
                    
                        Code: OK.16,