Computer Modelling and Simulation Methods 420-IS1-3MSK
Course profile: general academic
Form of study: intramural
Course type: elective
Name of the field of study: Informatics
Year / semester of study: 3 / 6
Prerequisites (sequential system of courses and exams): Mathematical Analysis, Differential Equations
Lecture: 15
Laboratory classes: 30
Teaching methods: lecture, laboratory classes
ECTS credits: 4
Balance of student workload:
Class attendance:
- lecture 15h
- laboratory classes 30h
Course preparation
- lecture 2h
- laboratory classes 8h
Literature study: 10h
Reports, homeworks: 20h
Preparation for passing the laboratory: 6h
Preparation for the course credit: 8h
Course credit duration: 2h
Individual consultation with the teacher: 5h
Student workload:
- student workload related to the activities requiring the teacher's direct participation: 52h, 3 ECTS
- student workload that does not require the teacher's direct participation: 54h, 2 ECTS
Type of course
Prerequisites
Mathematical Analysis 2
Mathematical Analysis 3
Probabilistic Methods and Statistics
Python Programming
Differential and Difference Equations
Course coordinators
Learning outcomes
1. Student know how to specify and characterize modeling phases of systemsKA6_WG1, KA6_WG4.
2. Student know how to describe the process of creating a computer mode- KA6_WG4, KA6_WG8.
3. Student know how to select the best modeling and simulation method for a given problem - KA6_WG1, KA6_WG4, KA6_WG8.
4. Student know how to analyse a selected process or phenomenon and to create its mathematical model - KA6_UW2.
5. Student know how to design an algorithm for a selected problem and implement it in the selected programming language - KA6_UW7, KA6_UK3.
6. Student know how to create a complete computer model of a selected phenomenon/process, to conduct computer simulation and to experiment with its parameters - KA6_UW7, KA6_UK2, KA6_UK3, KA6_UW21.
7. Student solve the problems creatively - KA6_UU1, KA6_KK1, KA6_KO1.
Assessment criteria
Lecture - course credit.
Laboratory classes - test,/reports.
Bibliography
1. Gutenbaum J., Modelowanie matematyczne systemów. Akademicka Oficyna Wydawnicza EXIT. Warszawa 2003
2. Kurowski W., Modelowanie i symulacja systemów technicznych. Wydawnictwo WSA. Łomża 2002. www.wsa.edu.pl
3. Gągolewski M., Programowanie w języku R. Analiza danych, obliczenia, symulacje, Wydawnictwo Naukowe PWN, 2016, wyd. 2.
4. Grolemund G., Hands-On Programming with R, O’Reilly (książka dostępna na stronie https://rstudio-education.github.io/hopr/index.html) [dostęp 2022-05-01].
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: