Course - Mathematical Modelling - TMA4195
Mathematical Modelling
About
About the course
Course content
The course is an introduction to generic principles and methods to formulate mathematical models of systems and processes in science and engineering. Topics covered include dimensional analysis, scaling, perturbation analysis, dynamical models, conservation laws, and applications.
Learning outcome
1. Knowledge. The student masters generic principles and methods for the formulation and analysis of mathematical models of systems and processes in engineering and the natural sciences. This includes knowledge of dimensional analysis, scaling, perturbation analysis, dynamical models, and conservation laws. The student has some insight into the possibilities for performing analytical and numerical computations based on the model. 2. Skills. The student is able to formulate and qualitatively analyze mathematical models of a wide range of systems and processes. 3. General competence. The student can work in cross-disciplinary groups, and is able to communicate the results orally and in writing.
Learning methods and activities
Lectures and a modelling seminar in groups. Portfolio assessment is the basis for the grade awarded in the course. This portfolio comprises a written final examination (75%) and a modeling project and homework (25%). The results for the constituent parts are to be given in grades, and the finale grade for the course is given by the letter grading system according to the above weighing. Retake of examination may be given as an oral examination. The lectures may be given in English. If the course is taught in English, the exam will be given only in English. Students are free to choose Norwegian or English for written assessments.
Further on evaluation
In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation. see «Teaching methods and activities».
Recommended previous knowledge
TMA4100/05/10/15 Calculus 1/2/3/4 or similar courses. Beyond this, a basic knowledge of applied mathematics and physics is an advantage.
Course materials
To be announced at the beginning of the term.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SIF5036 | 7.5 sp |
Subject areas
- Mathematics
- Technological subjects
Contact information
Course coordinator
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2022
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.