### Learning outcome

- Should have knowledge about fundamental algorithms and terminology within numerical mathematics
- Should be able to apply these algorithms to analyse propagation of errors and solve equations and differential equations
- Should be able to formulate physical problems in a manner that is suitable for numerical calculations.
- Should be able to chose methods of solutions and write computer programs that carry out simple physical calculations using the programming language Python.

### Contents

Part I: Basic theory and methods for numerical problemsolving with or without a computer.

Part II: Computer lab giving an introduction to practical use of computers for scientific and technical calculations.

### Required prerequisite knowledge

### Recommended previous knowledge

### Exam

Weight | Duration | Marks | Aid | |
---|---|---|---|---|

Written exam | 1/2 | 4 hours | A - F | All written and printed means are allowed. Calculators are allowed. |

2 assignments | 1/2 | A - F |

Candidates with non-passing the assignments may re-take the assignments next time the course has regular teaching.

### Course teacher(s)

- Course coordinator
- Anders Tranberg
- Head of Department
- Bjørn Henrik Auestad

### Method of work

### Overlapping courses

Course | Reduction (SP) |
---|---|

Numerical Mathematics, First Course (ÅMA190_1) | 5 |

Numerical mathematics - First course (TE0149_A) | 5 |

Numerical mathematics - First course (TE0149_1) | 5 |

Computational physics (BIT210_1) | 5 |

### Open to

Bachelor level at Faculty og Science and Technology

Master level at Faculty of Science and Technology.

Restricted access to part II.

### Course assessment

### Literature

Sist oppdatert: 28.03.2020