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”
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 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 section List of components.
Elective courses are divided into:
Profiled package of courses – a set of logically and functionally related courses that includes professional training courses that determine the specialized preparation of the student within the chosen educational professional program, necessary for fulfilling program requirements, ensuring special (professional) competencies, and aimed at improving the student’s employability in their chosen specialty.
List of elective components for professional training – includes professional courses that determine the specialized preparation of the student within the chosen educational program, necessary for fulfilling program requirements, ensuring special (professional) competencies, and aimed at improving employability.
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 training
(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)
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-focused educational 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.
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 section List of components.
Elective courses are divided into:
Profiled package – 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 program, are necessary for fulfilling program requirements, ensuring special (professional) competencies, and are aimed at improving the student’s employability in the chosen field.
List of elective courses for professional training – includes professional training courses that determine the specialized preparation of the student within the chosen educational program, are necessary for fulfilling program requirements, ensuring special (professional) competencies, and are aimed at improving the student’s employability in the chosen field.
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 images”
✔️ Analysis and synthesis of natural language processing
✔️ Signal processing methods
✔️ Image processing methods
Elective components for professional training
(choose two components from the list)
… [ОБРЕЗАНО ДЛЯ КРАТКОСТИ: структура аналогична предыдущему шаблону с обновлёнными ссылками и переводом]
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.
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.