113

Applied

Mathematics

Computer and mathematical modeling

Навчально-науковий інженерно-фізичний інститут

113 Прикладна математика

Комп’ютерне та математичне моделювання

 «Прикладна математика — це застосування математичних методів у різних галузях, таких як фізика, техніка, медицина, біологія, фінанси, бізнес, інформатика та промисловість. … Термін «прикладна математика» також описує професійну спеціальність, у якій математики працюють над практичними проблемами, формулюючи та вивчаючи математичні моделі. … “ (WikipediA)

“ Applied mathematics is the application of mathematical methods by different fields such as physics, engineering, medicine, biology, finance, business, computer science, and industry. … The term “applied mathematics” also describes the professional speciality in which mathematicians work on practical problems by formulating and studying mathematical models. … “

комп'ютерне моделювання, аналіз даних, математичні методи, обчислення, computer simulation, AI\ML, data-driven engineering, системи символьної математики, нелінійні процеси, cтатистика, чисельні методи, штучний інтелект, оптимізація, випадкові процеси, машинне навчання, FEM

Bachelor
of Applied Mathematics

Training period

4 years / 240 ECTS credits

The form of study

full-time

characteristics of the educational program

The main focus of the educational program “Applied mathematics. Computer and mathematical modeling” is aimed at training bachelors who are able to formulate, solve and generalize practical problems using fundamental and special applied methods of mathematics and IT for modeling, analysis and processing of processes and phenomena in engineering and information systems.

It is a bridge between the real world and mathematical and computational models. The latter is the fundamentals of computer modeling, the development and use of digital twins and avatars, which is shaping a new era of technology as well as communications. It is important to emphasize that this bridge has a two-way road, so applied mathematicians are conductors from reality to algorithms and formulas, as well as reverse conductors from received models and mathematical regularities to reality. 

Features of the program

ICM uses the Project form in educational processes. Starting from the 3rd year, there are mandatory team project works - on tasks proposed by employers;

We actively cooperate with engineering consulting centers and IT companies that need specialists in the field of computing and data science, in particular, we attract mentor speakers to teach technological disciplines;

Opportunities for academic mobility to EU universities (annually from 1 month to 1 semester for 2-5 best students), annual L. Euler scholarships since 2001.

From 2022, additional DAAD scholarships for senior students;

Graduates of this specialty are active researchers working throughout Europe, 10-15% of graduates receive scientific degrees.

Our teachers are highly qualified professionals, practitioners with extensive experience and seniority, who are ready to transfer their knowledge, skills and provide high-quality training to students of higher education in the field of mathematics and statistics, taking into account the specifics of today's labor market, national standards and international requirements.

Professor LVOV HENNADII 

Doctor of Engineering

(guarantor of the bachelor’s educational program)

Professor of the Department of Mathematical Modeling and Intelligent Computing in Engineering

Professor LARIN OLEKSII 

Doctor of Engineering

(guarantor of the master’s educational program)

Director of the Educational and Scientific Institute of Computer Modeling

teaches courses: Theory of probability and mathematical statistics, Machine learning, Modeling of dynamic processes, Analysis of random processes and signals

Professor KURPA LIDIIA 

Doctor of Engineering

Professor of the Department of Applied Mathematics

Professor MIKHLIN YURII 

Doctor of physical and mathematical sciences

Professor of the Department of Applied Mathematics

Professor MARTYNENKO HENNADII 

Doctor of Engineering

Professor of the Department of Mathematical Modeling and Intelligent Computing in Engineering

teaches courses: Databases, Data mining

Professor SYMSON EDUARD 

Doctor of Engineering

Professor of the Department of Mechanics of Continuous Environments and Resistance of Materials

ROZOVA LIUMYLA 

Candidate of technical sciences

Associate Professor of the Department of Mathematical Modeling and Intelligent Computing in Engineering

teaches courses: Object-oriented programming, Databases

POTOPALSKA KSENIIA 

Candidate of technical sciences

Associate Professor of the Department of Mathematical Modeling and Intelligent Computing in Engineering

teaches courses: Statistics on Phython, Machine learning, 3D drawing

TYSHKOVETS OLENA 

Candidate of technical sciences

Art. teacher of the department of mechanics of solid media and resistance of materials

VIAZOVYCHENKO YULIIA 

Candidate of technical sciences

Associate Professor of the Department of Mathematical Modeling and Intelligent Computing in Engineering

teaches courses: Mathematical logic and data structures, Neural networks, Optimization methods

Освітня траєкторія (спеціалізація) – Програмне забезпечення системного проектування

Навчання за спеціалізацією кафедри поєднує якісну класичну інженерну освіту з розв’язанням реальних прикладних та наукових задач сучасними засобами.

Основні навчальні дисципліни

Чисельне моделювання в аерогідромеханіці

Аналітична механіка та теорія коливань

Комп'ютерне забезпечення експериментальних досліджень

Моделювання нелінійних динамічних процесів в механіці

Методи оптимального проектування та управління

Спеціальні питання моделювання теплопровідності

Дізнатися більше про освітню траєкторію – Програмне забезпечення системного проектування на сайті кафедри 

Graduates' suitability for employment and further education

Graduates work in the largest Ukrainian and global IT companies and engineering consulting firms as researchers and engineers engaged in software design and development, computer modeling of various processes that are formed in mechanical systems and in modern new technology. The following companies have the greatest demand for our graduates: SoftServe, NIX-solutions, GL, EPAM, Progressech Ukraine, BOEING, BIIR, SoftInWay, Aktualna Mechanika, UPEK and many others.

You can find out more about companies and enterprises that offer employment for graduates of our institute, as well as get acquainted with the requirements, duties and skills of candidates for current vacancies, by following this link.

Graduates can continue their education at the next (master’s) level of higher education in the relevant educational-professional or educational-scientific programs.

What do our graduates say?

Are you interested in the opinion of those who have already received an education in Applied Mathematics? We really value our graduates and their feedback about our work. Read their stories below to get a more complete picture of their studies, subsequent employment, and how the knowledge and skills acquired at university have helped them in life and work. Probably, the reviews of our graduates will inspire you and help you choose a specialty.

Graduates' satisfaction with education and training in the specialty

57,2%

★★★★★

35,7%

★★★★

7,1%

★★★

0%

★★

0%

Overall satisfaction with learning

68,5% (13)

42,9%

★★★★★

35,7%

★★★★

21,4%

★★★

0%

★★

0%

Relevance of the specialty

68,5% (13)

64,3%

★★★★★

35,7%

★★★★

0%

★★★

0%

★★

0%

Quality of training in the specialty

71,4%

★★★★★

28,6%

★★★★

0%

★★★

0%

★★

0%

Objectivity of knowledge assessment

How quickly after graduation did our graduates manage to get a job?

Even during the diploma project

28.6%

Almost immediately

50%

During the year

21.4%

During the first three years

It took more than three years

0%

If you are our graduate, leave your feedback, it is important for us to hear your opinion. Please fill out , this survey form.

We are on social networks:

РОЗРАХУНОК КОНКУРСНОГО БАЛУ для вступу на спеціальність 113 Прикладна математика

КБ = 0,3×П1 + 0,35×П2 + 0,25×П3 + 0,1×А

П1 – оцінка з української мови

П2 – оцінка з математики

П3 – оцінка з фізики або іноземної мови

А – середній бал атестата

Остаточно конкурсний бал (КБ) множиться на додаткові коефіцієнти. Регіональний 1,02 – для міста Харкова. Сільський 1,02 – для осіб, зареєстрованих у селах та які здобули повну загальну середню освіту у закладах освіти у рік вступу, що знаходяться на території сіл.