Кафедра «Теоретична та прикладна механіка» — міжнародне стажування та академічна мобільність співробітників кафедри
Співробітники кафедри, що пройшли міжнародне стажування чи підвищення кваліфікації за останні п’ять років у рамках міжнародної діяльності університета:
|
П.І.Б. |
Рік проходження |
Програми міжнародної академічної мобільності |
Назва курсу, партнер, кредити ECTS |
Результати навчання |
| Скребцов Андрій Андрійович |
2025 |
Digital Labs & Lectures for Ukrainian, German & International Students
|
Project Management and Agile Methods
of the DILLUGIS’24 project of the Eastern Bavarian Technical University Amberg-Weiden, taught in English, worth 5 ECTS in winter semester of 2024/25 educational year. |
Course content:
• Fundamentals of Project Management.
• Project Planning
• Project Management methods
• Agile Methods in Project Management
• Project calculation
• IT Tools for Project Management
• Change and Risk Management
Students have acquired the following professional, methodological and personal skills and competencies: Professional and Methodological Skills: • The students know the basic methods and tools of project management. • They are able to select the appropriate ones for a given context. • They can apply these methods and tools flexibly to projects. • They are able to manage their own projects responsibly. • They are prepared to deal with the dynamics of a real project. Personal Skills (Social Competence and Self-competence): • The students approach their own projects in an open and structured way. • They are able to work and communicate cooperatively as a team to manage a project together. • They have the ability to independently expand and deepen the acquired knowledge and competences. |
| Скребцов Андрій Андрійович |
2025 |
Digital Labs & Lectures for Ukrainian, German & International Students |
Object-Oriented Coding of the DILLUGIS’24 project of the Eastern Bavarian Technical University Amberg-Weiden, taught in English, worth 5 ECTS in winter semester of 2024/25 educational year. |
Course content: • an introduction to object-oriented modelling and UML • an overview of the language Python and the development environment • writing classes and methods, test the code using unit testing • basic data structures like lists, dictionaries and the corresponding looping technics • concepts of inheritance and overloading methods • persistent data storage using basic file IO • realizing a complex, modular application Students have acquired the following professional, methodological and personal skills and competencies: Professional Skills: • identify core aspects of object-oriented programming and features of an object-oriented language • use a development environment for writing and running the code • develop and implement programs that apply core object-oriented programming concepts like classes, polymorphism, and method overloading • use built in data-structures (collections) and functions • read, process and analyse data from text (CSV) files • using the API of built in Python modules Methodological Skills: • able to analyse and design an application using OO methods • use step-by-step refinement to break down a problem into sub-problems (modularisation) • understanding the basic technics of data-science Personal Skills (Social Competence and Self-competence): • able to present solutions that have been created, to discuss their quality and alternatives and to reflect on their problem-solving strategy in a technical and methodical manner |
