Elective Courses

To deepen professional knowledge (within the chosen educational professional program (EPP)) and acquire additional special professional competencies (within the specialty or related specialties in the same field of study), the National Technical University “Kharkiv Polytechnic Institute” ensures the realization of students’ right to choose educational courses , as provided by the Law of Ukraine “On Higher Education” (Clause 15 of Part 1 of Article 62).

The courses  of free choice for professional training, which include specialized courses  that determine the specialized preparation of the student within the chosen educational professional program, are necessary for fulfilling program requirements, ensuring special (professional training) competencies, and are aimed at improving the student’s employability in their chosen specialty.

The educational components chosen by the student are approved by the dean/director of the Faculty/Educational and Scientific institute where the student studies, as an integral part of the student’s individualization of instruction plan.

The curriculum provides for the student to choose educational components in an amount of at least 25% of the total number of ECTS credits. The academic process plan and the educational components of the relevant educational professional programs can be found on the department’s website in the “List of Components” section.

You can view the elective blocks of the relevant educational professional program using the links below.

Elective components of the educational professional program INTELLIGENT DATA ANALYSIS of the first (bachelor's) level of higher education in specialty F1-Applied Mathematics

The list of components  of the educational professional program (EPP) “Intelligent Data Analysis” of the First (Bachelor’s) Level of Higher Education in Specialty F1-Applied mathematics provides for a block of general preparation and professional training courses  for selection.

General preparation courses , which belong to the cycle of socio-humanitarian preparation, are chosen by the student from the list of available university-wide courses  before the start of the academic year.

Professional training courses , which belong to the cycle of professional and practical preparation, are chosen by the student from the list of department and institute courses , including courses  from related specialties. Elective components for professional training appear in the plan starting from the second year of study. The list of available professional training courses  is updated annually.

Elective Blocks for General Preparation (Minor)

Block 1 “Project analysis and management” 
✔️ IT management
✔️ The foundations of business analytics

Block 2 “Law and intellectual property”
✔️ The foundations of cybersecurity
✔️ IT Law

Elective Blocks for professional training (Major)

Block 1 “Intelligent analysis of big data”
✔️Algorithmic languages (Elective)
✔️Case studies and stochastic systems
✔️Theory of database design
✔️Software development
✔️Project 3
✔️Project 4
✔️Big data infrastructure and management 
✔️Predictive analysis
✔️Text information processing and Analysis
✔️Mathematical methods of computer vision 
✔️Deep learning methods


Block 2 “Intelligent business analysis” 
✔️ Algorithmic languages (elective)
✔️Analysis of software system requirements
✔️Databases and information systems
✔️Models and data Visualization
✔️Project 3
✔️System development lifecycle 
✔️Project 4
✔️Predictive analysis
✔️Business process Analysis and management
✔️Financial and actuarial mathematics
✔️Risk analysis

Students of the Department of Computer Mathematics and Data Analysis exercise their right to choose educational components during the spring semester preceding the academic year in which their study is planned.

ATTENTION: Only 2nd-year students of the first (bachelor’s) level of higher education in specialty F1-Applied mathematics can undergo the selection process.

SURVEY FORM

Elective components of the educational professional program INTELLIGENT DATA ANALYSIS of the second (master's 1.4) level of higher education in specialty F1-Applied mathematics

The academic process plan and the educational components can be found on the department’s website in the “List of components”  section.

Elective courses  are divided into:

Profiled package of courses  – a set of logically and functionally related courses , which includes professional training courses  that determine the specialized preparation of the student within the chosen educational professional program, are necessary for fulfilling program requirements, ensuring special (professional training) competencies, and are aimed at improving the student’s employability in their chosen specialty.

List of elective components/electives for professional training – which includes professional training courses  that determine the specialized preparation of the student within the chosen educational professional program, are necessary for fulfilling program requirements, ensuring special (professional training) competencies, and are aimed at improving the student’s employability in their chosen specialty.

Profiled packages of courses 

01 “Intelligent data analysis”

✔️ Methods and technologies of working with big data 
✔️ Graph data analysis 
✔️ Machine learning engineering
✔️ Blockchain technology

02 “Intelligent analysis of texts, signals, and images”
✔️ Analysis and synthesis of natural language processing
✔️ Signal processing methods
✔️ Image processing methods
✔️ Deep multi-task and meta-learning

Elective components for professional trainingи
(choose two components from the list))

✔️ Financial and actuarial mathematics
✔️ Modular software testing 
✔️
Service-oriented and high-performance distributed computing
✔️ Theory and methods of social engineering in cybersecurity 
✔️ Novel information security technologies
✔️ Information technologies for the analysis of large heterogeneous data

Elective components for general preparation>
(choose two packages out of three, and select one discipline from each chosen package)(choose two packages out of three, and select one discipline from each chosen package)

Ukrainian educational component
✔️
Ethnic processes in Ukraine
✔️ History of Slobozhanshchyna culture
✔️ History of Ukrainian statehood

 Psychology-focused educational component
✔️ Psychology of leadership in business
✔️
Psychology of leadership in education
✔️
The foundations of professional psychology

Law-FocusedEducational Component
✔️ Legal regulation of innovation activity
✔️ Information law
✔️ Copyright and related rights

Students of the Department of computer mathematics and data analysis, specifically those enrolled in the EPP “Master,” exercise their right to choose educational components during the first two weeks of the autumn semester classes.

SURVEY FORM

Elective components of the educational and research Program INTELLIGENT DATA ANALYSIS of the second (master's 1.9) level of higher education in specialty F1-Applied mathematics

The academic process plan and the educational components can be found on the department’s website in the “List of Components” section.

Elective courses  are divided into:

Profiled package of courses  – a set of logically and functionally related courses , which includes professional training courses  that determine the specialized preparation of the student within the chosen educational professional program, are necessary for fulfilling program requirements, ensuring special (professional training) competencies, and are aimed at improving the student’s employability in their chosen specialty.

List of elective components for professional training – which includes professional training courses  that determine the specialized preparation of the student within the chosen educational professional program, are necessary for fulfilling program requirements, ensuring special (professional training) competencies, and are aimed at improving the student’s employability in their chosen specialty.

Profiled Packages of courses  

01 “Intelligent analysis of big data”
✔️ Methods and technologies of working with big data
✔️ Graph data analysis 
✔️ Machine learning engineering

02 “Intelligent analysis of texts and iImages” 
✔️
Analysis and synthesis of natural language processing 
✔️ Signal processing methods 
✔️ Image processing methods

Elective components for professional trainingи
(choose two components from the list)

✔️ Financial and actuarial mathematics 
✔️ Modular software testing
✔️ Service-oriented and high-performance distributed computing
✔️
Theory and methods of social engineering in cybersecurity
✔️ Blockchain technology 
✔️ Novel information security technologies
✔️ Information technologies for the analysis of large heterogeneous data

Elective components for general preparation
(choose two packages out of three, and select one discipline from each chosen package)

 Ukrainian educational  
✔️
Ethnic processes in Ukraine
✔️ History of slobozhanshchyna Culture
✔️ History of Ukrainian statehood 

 Psychology-Focused Educational Component 
✔️ Psychology of leadership in business
✔️
Psychology of leadership in education 
✔️
The foundations of professional psychology

Law-focused educational component 
✔️
Legal regulation of innovation activity  
✔️ Information law
✔️Copyright and related rights

Elective components for scientific and professional training
(choose three components from the list)

✔️ Mathematical modeling of complex systems 
✔️ Social network models
✔️ Intelligent distributed information systems
✔️ Semantic WEB
✔️ Information security and cybersecurity methods
✔️ Models and analysis of multi-agent systems
✔️ WEB-analytics
✔️ Formal specification languages
✔️ Mathematical models and knowledge representation methods

Students of the Department of computer mathematics and data analysis, specifically those enrolled in the EPP “Master,” exercise their right to choose educational components during the first two weeks of the autumn semester classes.

SURVEY FORM

You can find the regulation on the procedure for students to exercise the right to choose educational components at the National Technical University “Kharkiv Polytechnic Institute” by following the link.