SylabUZ
Nazwa przedmiotu | Introduction to Mathematical Modelling |
Kod przedmiotu | 11.1-WK-MATEP-IMM-S22 |
Wydział | Wydział Matematyki, Informatyki i Ekonometrii |
Kierunek | Mathematics |
Profil | ogólnoakademicki |
Rodzaj studiów | pierwszego stopnia z tyt. licencjata |
Semestr rozpoczęcia | semestr zimowy 2022/2023 |
Semestr | 6 |
Liczba punktów ECTS do zdobycia | 4 |
Typ przedmiotu | obieralny |
Język nauczania | angielski |
Sylabus opracował |
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Forma zajęć | Liczba godzin w semestrze (stacjonarne) | Liczba godzin w tygodniu (stacjonarne) | Liczba godzin w semestrze (niestacjonarne) | Liczba godzin w tygodniu (niestacjonarne) | Forma zaliczenia |
Wykład | 30 | 2 | - | - | Zaliczenie na ocenę |
Projekt | 30 | 2 | - | - | Zaliczenie na ocenę |
The purpose of the course is to familiarize students with the nature, scope and stages of mathematical modeling. The lecture will present a broad overview of mathematical models and methods used in technical, economic, biological or social problems. The goal of the project class is to simulate the presented models using a selected programming language (e.g. Python). After completing this course, the student should be prepared to create simple mathematical models using computers and their mathematical knowledge.
Mathematical analysis
Lecture/project:
1. The aim, scope and stages of mathematical modeling of engineering problems. The role of numerical methods.
2. Discrete and continuous mathematical models - construction, solution, analysis and validation.
3. Review of mathematical models and methods used to solve selected technical, economic, biological or social problems.
4. Application of a selected mathematical package in the simulation process of solutions to the given engineering problems.
Lecture: traditional and problem-based, available in electronic form.
Project: solving computational tasks using a selected programming language (e.g., Python); discussion of the selecting problem of numerical method appropriate to the problem under consideration and the complexity of the computational error.
Opis efektu | Symbole efektów | Metody weryfikacji | Forma zajęć |
The basic form of passing the lecture in this course is a colloquium, which includes mathematical modeling of the problems presented in the lecture, analysis of the obtained solutions and highlighting the mathematical methods used in the modeling process. The grade for the project will be determined by the total number of points obtained from all the mini-projects that the student will have to prepare independently. The grade for the course consists of the grade from the project (40%) and the grade from the colloquium (60%). The condition for passing the course is a positive grade from both the project and the lecture.
Subject also offered in semester VI.
Zmodyfikowane przez dr Maciej Niedziela (ostatnia modyfikacja: 07-02-2024 22:10)