SCIENTIFIC SEMINAR

Course: Econophysics

Structural unit: Faculty of Radiophysics, Electronics and Computer Systems

Title
SCIENTIFIC SEMINAR
Code
ВБ 1.11
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
8 Semester
Number of ECTS credits allocated
2
Learning outcomes
The student must know the basics of general physics; basics of theoretical physics; basic mathematical methods. The student must be able to solve typical problems that require the use of physics and economics methods; to find the optimal technique necessary for the solution problems, find analogies between physical and economic problems.
Form of study
Full-time form
Prerequisites and co-requisites
To fulfill the tasks of the scientific seminar, successful mastery is necessary disciplines of the following cycles: Mathematics, General Physics, Theoretical Physics, Economy.
Course content
The scientific seminar is an important step for the training of students, during which they learn to implement their knowledge, skills, acquired during training, for solution of practical tasks, reports at seminars, conferences. During the seminars, students must prepare and make reports on assignments scientific topics, answer questions on the topics of reports, improve skills conduct scientific discussions.
Recommended or required reading and other learning resources/tools
1. Тим, хто торує свій шлях у науку: Навчальний посібник / М.Г.Находкін, А.Г.Наумовець, С.М.Рябченко. Київ, 2008 2. Індивідуальний список літератури, розроблений науковим керівником. 3. Pearson correlation coefficient. [Електронний ресурс] – Режим доступу: https://en.wikipedia.org/wiki/Pearson_correlation_coefficient 4. General linear model. [Електронний ресурс] – Режим доступу: https://en.wikipedia.org/wiki/General_linear_model 5. Polynomial regression. [Електронний ресурс] – Режим доступу: https://en.wikipedia.org/wiki/Polynomial_regression 6. Pearson correlation coefficient. [Електронний ресурс] – Режим доступу: https://en.wikipedia.org/wiki/Pearson_correlation_coefficient 7. Regression analysis. [Електронний ресурс] – Режим доступу: https://en.wikipedia.org/wiki/Regression_analysis 8. «An econometric characterization of business cycle dynamics with factor structure and regime switching», Marcelle Chauvet, Department of Economics University of California, 1998
Planned learning activities and teaching methods
Seminars
Assessment methods and criteria
Semester evaluation: (max. points 60 / min. points 36. Final assessment in the form of an exam, as a condition for achieving a positive assessment discipline is to receive at least 60 points, the exam grade cannot be less than 24 points.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Vyacheslav Volodymyrovych Obukhovsky
Department of mathematics and Theoretical Radio Physics
Faculty of Radiophysics, Electronics and Computer Systems

Departments

The following departments are involved in teaching the above discipline

Department of mathematics and Theoretical Radio Physics
Faculty of Radiophysics, Electronics and Computer Systems