Special seminar on the profession

Course: Physics

Structural unit: Faculty of Physics

Title
Special seminar on the profession
Code
ВК14
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2024/2025
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
4
Learning outcomes
The result of the training is the students' mastery of methods of using modern computer tools, the ability of students to apply knowledge in practical situations to solve physical and mathematical problems. Also, the ability to learn and master modern knowledge from the course "Special Seminar on the Profession", the ability to search, process and analyze information from various sources, including electronic resources, and the ability of students to abstract thinking, analysis and synthesis of material from all physical and mathematical disciplines.
Form of study
Full-time form
Prerequisites and co-requisites
Have basic knowledge of elementary and higher mathematics courses, be able to solve algebraic equations, analyze functional dependencies, graph functions, perform algebraic calculations and transformations. Have an idea of ​​the principles of computer operation, the method of implementing programs, general approaches to programming. Have elementary skills in calculating derivatives, integrals, operations with vectors, matrices, and perform algebraic transformations with polynomials.
Course content
The discipline "Special Seminar in the Specialization" is a component of the cycle of professional training of specialists of the educational and qualification level "Bachelor of Physics". The course program is aimed at students who study mathematical analysis, a general course of mechanics, have basic skills in the course of elementary mathematics, programming. The learning outcomes are knowledge of the potential and limitations of AI technology, the ability to integrate AI into scientific research and the ability to apply this knowledge in practice.
Recommended or required reading and other learning resources/tools
1.Yermolenko R.V., Gogota O.P., Falko A.O., Kadenko I.M. Application of artificial intelligence technologies in high-energy physics - K.: 2024. - 152 p. 2.Sytnyk V.F. Intelligent data analysis (data mining): textbook / Sytnyk V.F., Krasnyuk M.T. - Kyiv: KNEU, 2007. - 376 p. 3.Methodology and organization of scientific research: textbook / A. I. Povoroznyuk, V. I. Panchenko, G. Ye. Filatova; Kharkiv Polytechnic Institute, National Technical University - Kharkiv: NTU "KhPI", 2016. - 192 p. 4.Yarovy A. A., Krylyk L. V. , Kozlovsky A. V. Modern information technologies in the field of artificial intelligence: electronic textbook for combined (local and network) use. - Vinnytsia: VNTU, 2023. - 145 p.
Planned learning activities and teaching methods
Total duration 48 hours, including: Lectures – 9 hours Seminars – 15 hours Independent work – 24 hours
Assessment methods and criteria
Control is carried out according to the modular rating system, which consists of 2 content modules. The knowledge assessment system includes modular and semester knowledge control. The results of students' educational activities are assessed on a 100-point scale. Forms of semester control: assessment of homework, oral reports. A student can receive a maximum of 60 points per semester and 40 points on the test.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Svitlana Leonidivna Subota
Department of theoretical physics
Faculty of Physics

Departments

The following departments are involved in teaching the above discipline

Department of theoretical physics
Faculty of Physics