Programplaner og emneplaner - Student
MAMO2200 Advanced modeling and computing Course description
- Course name in Norwegian
- Avansert modellering og beregninger
- Study programme
-
Bachelor's Degree Programme in Mathematical Modelling and Data Science
- Weight
- 10.0 ECTS
- Year of study
- 2025/2026
- Programme description
- Course history
-
Introduction
Alle hjelpemidler er tillatt så lenge regler for kildehenvisning følges;
Recommended preliminary courses
The course builds on
- MAMO1100 Introduction to modeling and computing
- DAFE1000 Mathematics 1000
- DAPE2000 Mathematics 2000 with statistics
Required preliminary courses
Bestått / Ikke bestått
Learning outcomes
After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence.
Knowledge
The student can:
- explain methods for the numerical solution of nonlinear algebraic equations and differential equations.
- explain how and in which cases functions can be approximated with polynomials and trigonometric functions.
- explain standard methods and the use of stochastic simulations for estimating definite integrals.
- explain the fundamental properties of stochastic processes and Markov chain models.
- explain how the numerical methods can be implemented in Python.
Skills
The student can:
- use and implement methods for the numerical solution of equations, as well as analyze deviations.
- use and implement methods for numerical integration.
- approximate functions using Taylor polynomials to analyze deviations in numerical integrators.
- use and implement methods for the numerical solution of initial value problems.
- use and implement Markov chain models.
- implement numerical methods using Python programming.
General competence
The student can:
- read and understand texts and participate in discussions regarding modeling, computation, and implementation.
- assess the accuracy of numerical estimates and choose appropriate parameters to ensure the estimates are accurate enough.
- interpret and evaluate the results of numerical calculations.
- assess which algorithms should be used in different cases.
Teaching and learning methods
Studiet kan tas som videreutdanning for grunn-, førskole- og faglærere.;Utdanningen tar sikte på å kvalifisere for undervisning i grunnskolen og andre undervisningsoppgaver.;
Course requirements
Generell studiekompetanse.
Studiet kan tas som videreutdanning for grunn-, førskole- og faglærere.;Utdanningen tar sikte på å kvalifisere for undervisning i grunnskolen og andre undervisningsoppgaver.;;;
Assessment
Individual oral exam of about 30 minutes consisting of a student-led presentation followed by questions.
The exam result cannot be appealed.
In the case of a new or postponed exam, a different examination format may be used.
Permitted exam materials and equipment
The student may use his/her own computer for the presentation.
Grading scale
Grade scale A-F
Examiners
Two internal examiners. External examiners are used regularly.