Educational and Professional Program “Intellectual Data Analysis”
Field of study: F – Information Technology
Specialty: F1 – Applied Mathematics
Qualification: Bachelor of Applied Mathematics
Guarantor of the educational program: Akhiiezer Olena Borysivna
1. PROFILE OF THE EDUCATIONAL PROGRAM IN THE SPECIALTY
National Technical University “Kharkiv Polytechnic Institute”
Educational and Scientific Institute of Computer Science and Information Technology
Department of Computer Mathematics and Data Analysis
Degree of higher education and qualification title in the original language
Bachelor
Bachelor of Applied Mathematics
Official title of the educational program
Educational and Professional Program “Intellectual Data Analysis”
Type of diploma and volume of the educational program
Bachelor’s diploma, single,
240 ECTS credits, 3 years and 10 months
Accreditation
Accreditation commission of Ukraine. Certificate – ND No. 8536 dated 28.05.2024, valid until July 1, 2029
Prerequisites
Certificate of complete general secondary education
Language(s) of instruction
Ukrainian / English
Duration of the educational program
According to the validity period of the accreditation certificate
Reviewed annually
Link to the permanent location of the educational program description
http://web.kpi.kharkov.ua/
To provide training for specialists in the field of applied mathematics who are capable of formulating, solving, and generalizing practical problems in their professional activities using fundamental and specialized methods of mathematical and computer sciences, developing mathematical models, algorithms, creating and operating corresponding software.
The educational program is aimed at preparing professionals who possess modern mathematical methods and information technologies for intelligent data retrieval, analysis, processing, and visualization – including measurement and observation data, texts, signals, and images – for the purposes of knowledge extraction, forecasting, and decision-making.
Field of study: Mathematics and Statistics
Specialty: Applied Mathematics
Object of study: processes and phenomena that can be described mathematically.
Learning objectives: mastery of modern mathematical methods and information technologies.
Theoretical content of the subject area: intelligent data retrieval, analysis, processing, and visualization.
Methods, techniques, and technologies: modern information technology programming.
Tools and equipment: computer hardware and data processing tools.
Orientation of the Educational Program
An educational and professional program focused on the development and application of mathematical methods, algorithms, and software products.
Professional orientation – development of mathematical methods, models, algorithms, and software for data, process, text, signal, and image analysis, forecasting and decision-making, knowledge retrieval and extraction.
Main focus of the educational program and specialization
Specialized education in mathematics and statistics in the specialty “Applied Mathematics” within the subject area of intelligent analysis of large, uncertain data.
Keywords: data analysis, signal and image processing, pattern recognition, big data, knowledge extraction, mathematical models, machine learning, artificial and computational intelligence.
Program features
A project-oriented professional program aligned with the international CDIO initiative standards. Project-based learning through a sequence of integrated academic and real-world projects. Dual education conducted at partner enterprises – leading IT companies. Individualized learning focused on the student. A number of courses are taught in English.
Employability Entry-level positions: mathematician (applied mathematics), data analyst, systems analyst, programmer, software developer, database and knowledge base developer and administrator. Further education
Graduates can work at enterprises and companies in the IT industry, in information and analytical departments of manufacturing and banking-financial sectors, research institutions, and the service sector. Professional opportunities for graduates (according to the National Classifier of Occupations SC 003:2010).
Graduates have the opportunity to continue their education at the second (master’s) level of higher education in relevant educational and professional or educational and scientific programs.
Postgraduate education is also available to obtain professional qualifications according to relevant professional standards.
Teaching and learning Assessment
Lectures, laboratory and practical classes, scientific and practical seminars, implementation of academic and real-world projects (project-based learning), problem-based and inquiry-based learning, student-centered learning, dual education, distance and blended learning using the Office 365 platform, independent work and self-learning, internships, and preparation of the qualification thesis.
Ongoing and final knowledge assessment (oral questioning, tests, individual assignments, etc.), pass/fail assessments and examinations (oral and written), defense of academic and real-world projects with presentations, and public defense of the qualification thesis.
Integral competence
The ability to solve complex specialized tasks and practical problems in applied mathematics in professional activities or during the learning process, which involves the application of mathematical theories, methods, algorithms, information technologies, and specialized software, and is characterized by complexity and uncertainty of conditions.
General competencies (defined by the higher education standard for the specialty) GC
GC 1
Ability to learn and acquire modern knowledge.
GC 2
Ability to apply knowledge in practical situations.
GC 3
Ability to generate new ideas (creativity).
GC 4
Ability to be critical and self-critical.
GC 5
Ability to conduct research at an appropriate level.
GC 6
Ability for abstract thinking, analysis, and synthesis.
GC 7
Ability to search for, process, and analyze information from various sources.
GC 8
Knowledge and understanding of the subject area and understanding of professional activity.
GC 9
Ability to communicate with representatives of other professional groups of different levels.
GC 10
Skills in using information and communication technologies.
GC 11
Ability to work in an international context.
GC 12
Determination and persistence in relation to set tasks and assumed responsibilities.
GC 13
Interpersonal interaction skills.
GC 14
Ability to exercise one’s rights and responsibilities as a member of society, understanding civil society values, the rule of law, and human rights in Ukraine.
GC 15
Ability to preserve and enhance societal values, understanding the development of the field, and using physical activity for a healthy lifestyle.
Special (professional) competencies of the speciality (defined by the higher education standard for the speciality) SC
Activities involving the application of mathematical methods
SC 01
Ability to use and adapt mathematical theories, methods, and techniques for proving mathematical statements and theorems.
SC 02
Ability to perform tasks formulated in mathematical form.
SC 03
Ability to select and apply mathematical methods for solving applied problems.
SC 04
Ability to select and apply numerical methods for solving optimization problems.
Design activities
SC 05
Ability to develop algorithms, data structures, and software documentation.
SC 06
Ability to design databases and information systems.
Technological activities
SC 07
Ability to solve professional tasks using computer hardware, networks, and office applications.
SC 08
Ability to maintain and operate software of various systems.
SC 09
Ability to use modern programming and software testing technologies.
SC 10
Ability to model, analyze, and process data using specialized software.
Organizational and managerial activities
SC 11
Ability to create reports and use regulatory documents.
SC 12
Ability to organize a team, make justified decisions, and ensure safety at work.
Research activities
SC 13
Ability to analyze scientific and technical information and international experience.
SC 14
Ability to understand problems in domain-specific language and gather data.
SC 15
Ability to formulate mathematical problems and select appropriate solutions.
SC 16
Ability to contribute to research reports and implement findings.
SC 17
Ability for professional communication in Ukrainian and an EU language.
Special (institution-defined) competencies
SC 18
Ability to apply models and methods for data analysis under uncertainty.
SC 19
Ability to use machine learning and soft computing methods for forecasting.
SC 20
Ability to develop tools for analyzing data from various formats.
SC 21
Ability to develop software for big data processing using cloud technologies.
SC 22
Ability to use IT tools for data analysis, forecasting, and knowledge extraction.
LO 01
Demonstrate knowledge and understanding of the fundamental concepts, principles, and theories of applied mathematics and apply them in practice.
LO 02
Possess fundamental knowledge 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 stochastic processes, and numerical methods.
LO 03
Formalize problems formulated in the language of a specific subject area; formulate their mathematical representation and select a rational solution method; solve the resulting problems using analytical and numerical methods; evaluate the accuracy and reliability of obtained results.
LO 04
Perform mathematical description, analysis, and synthesis of discrete objects and systems using concepts and methods of discrete mathematics and algorithm theory.
LO 05
Develop and practically apply algorithms related to function approximation, numerical differentiation and integration, solving systems of algebraic, differential, and integral equations, boundary value problems, and searching for optimal solutions.
LO 06
Master the main methods of developing discrete and continuous mathematical models of objects and processes, and analytically study these models to determine the existence and uniqueness of their solutions.
LO 07
Conduct practical research and find solutions to ill-posed problems.
LO 08
Combine methods of mathematical and computer modeling with informal expert analysis procedures to find optimal solutions.
LO 09
Construct algorithms that are efficient in terms of computational accuracy, stability, speed, and resource usage for numerical investigation of mathematical models and solving practical problems.
LO 10
Master techniques for selecting rational methods and algorithms for solving mathematical optimization problems, operations research, optimal control, decision-making, and data analysis.
LO 11
Apply modern programming technologies and software development techniques for implementing numerical and symbolic algorithms.
LO 12
Solve individual engineering problems and/or problems arising in at least one subject area such as sociology, economics, ecology, or medicine.
LO 13
Use specialized software products and computer mathematics systems in practical work.
LO 14
Demonstrate the ability for self-learning and continuous professional development.
LO 15
Be able to organize one’s own activities and achieve results within limited timeframes.
LO 16
Demonstrate interpersonal skills and the ability to work effectively in a team.
LO 17
Be able to collect, process, analyze, and systematize scientific and technical information while avoiding academic dishonesty.
LO 18
Communicate effectively on issues of information, ideas, problems, and solutions with specialists and society in general.
LO 19
Collect and interpret relevant data and analyze complexities within one’s specialization to make judgments reflecting social and ethical issues.
LO 20
Demonstrate professional communication skills, including oral and written communication in Ukrainian and at least one official EU language.
Program-specific learning outcomes (defined by the higher education institution)
LO 21
Know and understand modern methods for solving mathematical problems in statistical and intelligent data analysis, forecasting, and related areas.
LO 22
Know and understand methods for solving mathematical problems in intelligent information retrieval and knowledge extraction.
LO 23
Be able to apply existing and develop new algorithms and software tools for statistical and intelligent analysis of uncertain data.
LO 24
Be able to apply existing and develop new algorithms and software tools for processing measurement and observation data, texts, signals, and images.
LO 25
Be able to apply modern information technologies and software for processing large datasets using distributed and cloud-based services.
Human resources Material and technical resources Information and educational-methodical resources
Complies with staffing requirements for conducting educational activities in higher education in accordance with the current legislation of Ukraine (Resolution of the Cabinet of Ministers of Ukraine “On Approval of the Licensing Conditions for Educational Activities of Educational Institutions” dated December 30, 2015, № 1187, as amended by Resolution № 365 dated 24.03.2021, Appendices 15–16).
Complies with requirements for material and technical support for educational activities in higher education according to Ukrainian legislation (same resolution, Appendix 17). Classrooms and multimedia equipment are available.
Complies with requirements for information and methodological support for educational activities in higher education (Appendix 18). Teachers and students have access to the NTU “KhPI” library, its repository, and the departmental library.
National credit mobility International credit mobility Education of international students
Based on bilateral agreements between NTU “KhPI” and leading technical universities of Ukraine. Regulated by “Provision 18 on academic mobility of students, postgraduates, doctoral students, and academic staff of NTU ‘KhPI.’”
Based on bilateral agreements between NTU “KhPI” and foreign partner universities.
Available after completion of a Ukrainian language course by the student.
Graduates of the educational program in specialty F1 – Applied Mathematics undergo assessment in the form of a bachelor’s qualification thesis defense and receive a diploma of the established format conferring the degree of Bachelor with the qualification: “Bachelor in Applied Mathematics” under the program “Intelligent Data Analysis.” The defense is conducted openly and publicly.
2. LIST OF EDUCATIONAL COMPONENTS OF THE EDUCATIONAL PROGRAM AND THEIR LOGICAL SEQUENCE
🔹List of components of the educational and professional program
🔹Structural-logical scheme
Full content of educational programs: