SylabUZ
| Nazwa przedmiotu | Introduction to Mathematical Modelling |
| Kod przedmiotu | 11.1-WK-CSEEP-IMM-S22 |
| Wydział | Wydział Matematyki, Informatyki i Ekonometrii |
| Kierunek | Computer science and econometrics |
| Profil | ogólnoakademicki |
| Rodzaj studiów | pierwszego stopnia z tyt. licencjata |
| Semestr rozpoczęcia | semestr zimowy 2023/2024 |
| Semestr | 4 |
| Liczba punktów ECTS do zdobycia | 6 |
| Występuje w specjalnościach | Statistics and econometrics |
| 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 | 15 | 1 | - | - | Egzamin |
| Projekt | 30 | 2 | - | - | Zaliczenie na ocenę |
The aim of the lecture is to present the general principles of mathematical modeling. They will be illustrated on selected examples in the field of demography, financial instruments, technical and physical & chemical sciences. An analysis of solutions of the presented models also will be given.
Students should know the basic concepts of mathematical analysis.
The lecture is devoted to the presentation of a general mathematical modeling scheme and procedures related to modeling selected demographic problems, financial mathematics, technical as well as physical & chemical sciences using computational techniques.
The presentation of selected modeling problems contains the necessary compendium of knowledge in the field of financial mathematics and physical-chemical sciences.
An important element of the presentation of the results of computer computations of modeled problems is their analysis, conducted in a conversational form, indicating the rich predictive possibilities of the obtained solutions.
The basic form of classes is a lecture with examples of modeling selected problems from technical and physical & chemical sciences together with an illustration of computer-obtained solutions of the models. The analysis of these solutions is conducted using the conversational method.
Project classes are devoted to building comprehensive models of certain problems and predicting the course of modeled processes over the time.
| Opis efektu | Symbole efektów | Metody weryfikacji | Forma zajęć |
The basic form of passing the course lecture is an exam covering a mathematical modeling of the problems presented during the lecture, an analysis of their solutions and distinguishing mathematical methods used in the modeling process.
The basis for passing project classes is the project work performed by the student or teams during the semester.
The calculation of the final grade: lecture 60% + project 40%. The necessary condition for passing the course is a positive grade for the project and the exam.
1. M. S. Klamkin, Mathematical Modelling: Classroom Notes In Applied Mathematics, SIAM (1995).
Zmodyfikowane przez dr Ewa Synówka (ostatnia modyfikacja: 10-04-2024 20:00)
