Course
Numerical Modeling 2 (MAF320)
Facts
Course code MAF320
Credits (ECTS) 5
Semester tution start Autumn
Language of instruction English
Number of semesters 1
Exam semester Autumn
Time table View course schedule
Literature The syllabus can be found in Leganto
Introduction
The course is a data laboratory course, which gives an introduction to the practical use of computers for scientific and technical computations. An introduction to Python is given.
Content
Many mathematical problems in science and engineering do not permit simple analytic solutions, necessitating the use of numerical methods. This course is a computer lab that introduces the practical use of computers for scientific and technical numerical calculations. Throughout the course, students will tackle various practical problems from science and engineering. They will use numerical algorithms to solve systems of linear equations, perform interpolation and curve fitting, find solutions to nonlinear equations, carry out numerical differentiation and integration, and solve ordinary and partial differential equations.
This course runs parallel with MAF310 Numerical Modeling 1, which focuses on the more theoretical aspects of the numerical algorithms used in MAF320.
Learning outcome
After completing this course, students are expected to:
K1: Have a basic understanding of scientific programming using the Python programming language and the NumPy and SciPy packages.
K2: Know basic terms such as variables, data types, control structures, lists, functions, classes, and objects.
F1: Be able to formulate physical problems in a form suitable for numerical calculations.
F2: Be able to choose appropriate numerical methods for specific problems, utilize pre-existing implementations of algorithms in NumPy and SciPy, and implement their own solutions when needed.
G1: Master the presentation and communication of computational results using the interactive computing platform Jupyter Notebook.
Required prerequisite knowledge
Recommended prerequisites
Exam
Folderevaluation
Weight 1/1
Duration 1 Weeks
Marks Letter grades
Aid All
First assignment
Weight 1/2
Marks Letter grades
Aid All
Second assignment
Weight 1/2
Marks Letter grades
Aid All
The folder evaluation consists of 2 assignments that are performed individualy at home with computer. The assignments each count for 50% of the grade. All assignments has to be passed to get a grade in the course.
Candidates with non passing on assignments may re-take the assignment(s) next time the course has regular teaching.
Method of work
Overlapping courses
| Course | Reduction (SP) |
|---|---|
| Numerical Modeling (MAF300_1) , Numerical Modeling 2 (MAF320_1) | 5 |
Open for
Bachelor level at Faculty og Science and Technology
Master level at Faculty of Science and Technology.
