124 System Analysis

Educational program:
“System analysis and management”

Field of knowledge: 12 “Information technologies”

Specialty: 124 “System Analysis”

Guarantor of the educational program: Yurii Ivanovich Dorofeev

1 – General Information
General Information
Full name of higher education institution and institute National Technical University “Kharkiv Polytechnic Institute”
Educational and Scientific Institute of Computer Sciences and Information Technologies
Level of higher education and title of qualification in original language Level – bachelor
Qualification – bachelor’s degree in systems analysis
Level with NRC NRK of Ukraine – 7th level, FQ-EHEA – first cycle,
EQF-LLL – Level 6
Official name of the educational program Educational and professional program of bachelor’s training in system analysis “System analysis and management”
Type of diploma and scope of educational program Bachelor’s degree, single, 240 EKTS credits,
training period 3 years 10 months
Availability of accreditation Certificate of Accreditation: Series PD – IV No. 2158945
dated August 12, 2013
Prerequisites Complete general secondary education
Language(s) of instruction Ukrainian
Duration of the educational program Until the next accreditation
Internet address of the permanent placement of the educational program http://web.kpi.kharkov.ua/say
2 – Purpose of the educational program
Training of professionals capable of designing complex information systems, developing new and applying existing methods of system analysis and management to solve complex problems in various spheres of activity.
3 – Characteristics of the educational program
Characteristics of the educational program
Subject area (field of knowledge, specialty, program) Field of knowledge: 12 “Information technologies”
Specialty: 124 “System Analysis”
Program: “System Analysis and Management”
The main focus of the educational program The educational and professional program of bachelor’s training is focused on the training of specialists capable of solving complex practical problems of system analysis and management, which involve the application of theoretical provisions and methods of system analysis and information technologies.

Keywords: system analysis, complex system, decision-making, mathematical modeling, management, forecasting, design.

Program Features The sectoral and regional context is taken into account in accordance with the needs of the powerful IT cluster of the city of Kharkiv, in particular through the participation of IT companies in conducting pre-diploma practice and counseling of bachelor’s degree holders.
4 – Suitability of graduates for employment and further education
Suitability of graduates for employment and further education
Employability Specialists who received an education under the educational program “System Analysis and Management” can engage in the following types of economic activities:
72 Activities in the field of informatization.
73 Research and development.
80 Education.
Job titles according to the National Classifier of Professions
(DK 003:2010):
131.2 Software and multimedia analyst.
132.2 Application programmer.
2131.2 Computer software engineer.
2132.2 Software engineer.
2132.2 Programmer (database).
Further Education The possibility of studying at the second (master’s) level of higher education. Acquisition of additional qualifications in the postgraduate education system.
5 – Software Competencies
General competences (CG)
ZK 1 Ability to abstract thinking, analysis and synthesis
ZK 2 Ability to apply knowledge in practical situations
ZK 3 Ability to plan and manage time
ZK 4 Knowledge and understanding of the subject area and understanding of professional activity
ZK 5 Ability to communicate in the state language orally and in writing
ZK 6 Ability to communicate in a foreign language
ZK 7 Ability to search, process and analyze information from various sources
ZK 8 Ability to be critical and self-critical
ZK 9 Ability to adapt and act in a new situation
ZK 10 Ability to work autonomously
ZK 11 Ability to generate new ideas (creativity)
ZK 12 Ability to work in a team
ZK 13 Ability to work in an international context
ZK 14 Ability to evaluate and ensure the quality of work performed
ZK 15 The ability to realize one’s rights and responsibilities as a member of society, to be aware of the values ​​of civil (free democratic) society, the rule of law, the rights and freedoms of a person and a citizen in Ukraine
ZK 16 The ability to preserve and multiply moral, cultural, scientific values ​​and achievements of society based on understanding the history and patterns of development of the subject area, its place in the general system of knowledge about nature and society and in the development of society, techniques and technologies, to use different types and forms motor activity for active recreation and leading a healthy lifestyle
Professional competences (FC)
FC 1 The ability to use system analysis as a modern interdisciplinary methodology based on applied mathematical methods and modern information technologies and oriented towards solving problems of analysis and synthesis of technical, economic, social, environmental and other complex systems.
FC 2 The ability to formalize problems described in natural language, including using mathematical methods, to apply general approaches to mathematical modeling of specific processes.
FC 3 The ability to build mathematically correct models of static and dynamic processes and systems with concentrated and distributed parameters, taking into account the uncertainty of external and internal factors.
FC 4 The ability to determine the main factors that affect the development of physical, economic, and social processes, to single out stochastic and uncertain indicators in them, to formulate them in the form of random or vague values, vectors, processes, and to investigate the dependencies between them.
FC 5 The ability to formulate optimization problems in the design of management and decision-making systems, namely: mathematical models, optimality criteria, restrictions, management goals; choose rational methods and algorithms for solving optimization and optimal management problems.
FC 6 Ability to computerize mathematical models of real systems and processes; design, apply and support software tools for modeling, decision-making, optimization, information processing, intelligent data analysis.
FC 7 The ability to use modern information technologies for computer implementation of mathematical models and prediction of the behavior of specific systems, namely: object-oriented approach when designing complex systems of various nature, applied mathematical packages, application of databases and knowledge.
FC 8 Ability to organize work on the analysis and design of complex systems, creation of appropriate information technologies and software.
FC 9 Ability to present mathematical arguments and conclusions with clarity and precision and in forms appropriate to an audience, both orally and in writing.
FC 10 Ability to design experimental and observational studies and analyze the data obtained in them.
FC 11 The ability to systematically analyze one’s professional and social activities, to evaluate accumulated experience.
Additional professional competencies (DFK)
DFK 1 The ability to develop mathematical models of dynamic objects and systems, including automatic control systems, in the form of differential and difference equations and their systems, to choose rational methods and algorithms for solving such equations and systems.
DFK 2 Ability to develop mathematical models of continuous and discrete dynamic systems in input-output variables or in state space and calculate the initial response of the system to an arbitrary external influence.
DFK 3 Ability to carry out structural analysis and structural-parametric synthesis of systems of automatic control of dynamic objects, to carry out analysis of the fulfillment of the conditions of their stability, controllability and observability.
DFK 4 The ability to structure and formalize subject knowledge in order to use it to build strategies for solving intellectual problems.
DFK 5 The ability to analyze the results of solving optimization problems and making optimal decisions, namely: fulfilling constraints, achieving the optimal value of the objective function, the feasibility of using the selected optimization methods.
DFK 6 The ability to formalize the tasks of making optimal decisions with many criteria based on the theory of Pareto optimality using convolution, minimax, conditional optimization and hierarchy of criteria, to perform computer implementation of making optimal decisions.
6 – Program learning outcomes
Program learning outcomes (LP)
PH 1 Know and be able to apply in practice differential and integral calculus, Fourier series and integral, analytic geometry, linear algebra and vector analysis, functional analysis and discrete mathematics to the extent necessary to solve typical tasks of system analysis.
PH 2 Know and be able to use standard schemes for solving combinatorial and logical problems formulated in natural language, apply classical algorithms for checking the properties and classification of objects, sets, relations, graphs, groups, rings, lattices, Boolean functions, etc.
PH 3 Be able to determine the probability distributions of stochastic indicators and factors affecting the characteristics of the studied processes, investigate the properties and find the characteristics of multidimensional random vectors and use them to solve applied problems, formalize stochastic indicators and factors in the form of random variables, vectors, processes .
PH 4 Know and be able to apply basic methods of qualitative analysis and integration of ordinary differential equations and systems, differential equations in time-time derivatives, including equations of mathematical physics./td>
PH 5 Know the basic principles of the theory of metric spaces, the Lebesgue theory of measure and integral, the theory of bounded linear operators in Banach and Hilbert spaces, apply the technique and methods of functional analysis to solve the problems of managing complex processes under conditions of uncertainty.
PH 6 Know and be able to apply the basic methods of setting and solving system analysis problems in conditions of uncertainty of goals, external conditions and conflicts.
PH 7 Know the basics of the theory of optimization, optimal control, the theory of decision-making, be able to apply them in practice to solve applied problems of management and design of complex systems.
PH 8 To have modern methods of developing programs and software complexes and making optimal decisions regarding the composition of software, algorithms of procedures and operations.
PH 9 Be able to create effective algorithms for computational tasks of system analysis and decision support systems.
PH 10 Know the architecture of modern computing systems and computer networks.
PH 11 Know and be able to apply database and knowledge management systems and information systems in practice.
PH 12 Apply methods and means of working with data and knowledge, methods of mathematical, logical-semantic, object and simulation modeling, technologies of system and statistical analysis.
PH 13 Design, implement, test, implement, support, exploit software tools for working with data and knowledge in computer systems and networks.
PH 14 Understand and apply in practice methods of statistical modeling and forecasting, evaluate raw data.
PH 15 Understand Ukrainian and foreign languages ​​at a level sufficient for processing professional informational and literary sources, professional oral and written communication, writing texts on professional topics.
PH 16 To understand and realize one’s rights and responsibilities as a member of society, to be aware of the values ​​of a free democratic society, the rule of law, the rights and freedoms of a person and a citizen in Ukraine.
PH 17 Preserve and multiply the achievements and values ​​of society based on understanding the place of the subject area in the general system of knowledge, use different types and forms of physical activity to lead a healthy lifestyle.
Additional learning outcomes (SLT)
DRN 1 Perform structural and parametric synthesis of software control systems, disturbance control, deviation control and combined systems of automatic control of complex dynamic objects.
DRN 2 Know and be able to apply methods of structuring, formalization and presentation of knowledge, be able to build strategies for solving intellectual problems.
DRN 3 Be able to set and solve problems of optimization and operations research in the field of information technologies of system analysis.
DRN 4 Know and be able to apply methods of qualitative analysis and integration of differential equations and systems, use them for modeling discrete automatic control systems.
DRN 5 Be able to set and solve the problems of making optimal decisions with limited resources and many optimality criteria in the field of information technologies of system analysis.
DRN 6 Ability to computerize mathematical models of real systems and processes; design, apply and support software tools for modeling, decision-making, optimization, information processing, intelligent data analysis.
7 – List of components of the educational and professional program
The list and content of educational components (general, special, profile, selective) can be found in the curriculum by link.
8 – Structural and logical scheme
9 – Form of graduation certificate of higher education applicants
The graduation certification of students of higher education under the educational program “System Analysis and Management” is carried out in the form of the defense of a qualification paper, which involves the solution of a complex specialized task or a practical problem of system analysis with the application of theoretical provisions and methods of system analysis and/or information technologies.

The qualifying work cannot contain falsifications or academic plagiarism (textual or other borrowings without appropriate references to primary sources). The qualification work must be placed in the repository of the National Technical University “Kharkiv Polytechnic Institute”.

The graduation certification is carried out openly and publicly and ends with the issuance of a document (diploma) of the established model on the awarding of a bachelor’s degree with the qualification: Bachelor in systems analysis.

Selective educational components. Profile blocks

1. System analysis and management

Brief characteristics
A feature of the disciplines of the “System Analysis and Control” block is their focus on deepening the mathematical and programming training of future bachelors in the field of automatic control theory and system analysis. Skills in the design and development of information and analytical systems are reinforced by the study of modern programming technologies. The educational disciplines proposed for assimilation are focused on the application of previously acquired knowledge in the development of web applications and information-analytical support systems for management decision-making. In general, students receive a completed education that allows them to either directly develop and apply systems analysis methods and tools to solve complex problems in various fields of activity, or to continue their studies at a master’s degree.

The list and content of optional educational components can be found in the curriculum at the link.

2. Information technologies of system analysis

Brief characteristics
A feature of the disciplines of the block “Information technologies of system analysis” is their focus on deepening the training of future bachelors in the field of information technologies for the design and development of modern computer systems and web applications. Skills in the development of software products are reinforced by the study of parallel and cross-platform programming technologies. The disciplines of the last semester are focused on the application of previously acquired knowledge in the development of intelligent control systems for complex dynamic objects. In general, students receive a completed education that allows them to either directly move to practical activities in the field of information technology application of data analysis and business analysis, or to continue their studies at a master’s degree.

The list and content of optional educational components can be found in the curriculum at the link.

Additional information

Full content of the educational program

List of components of the educational and professional program (Curriculum)

Structural-logic scheme

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