Applied Computational Modelling (MOD300)
The course will give a practical introduction to modeling. We will develop models for supporting decision making in complex and uncertainty contexts, physical phenomenon and processes, and others relevant to different engineering disciplines. The mathematical models are, for example, models for decision analysis, statistical models, models of physical systems, machine learning models, and hybrid models where machine learning methods are combined with physical models. The numerical methods of solving the models will be introduced. We will focus on practical applications in the form of constructing models and implementing specific algorithms to solve practical problems with the purpose of supporting and improving decision making. Coding/programming will be an important part of the course, and we will use Python as the primary programming language for the course.
Course description for study year 2022-2023
Course code
MOD300
Version
1
Credits (ECTS)
10
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
Norwegian
Learning outcome
Required prerequisite knowledge
Recommended prerequisites
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Prosjektoppgave | 1/1 | Letter grades |
3-5 project assignments with reports. Assessment details will be revised and described before the course is offered for the first time in fall 2023.