The Scientific Computing section contributes to the departments general introductory courses in mathematics and programming and gives courses at all levels in the fields of computational and applied mathematics.

These courses are central for the applied mathematics educations Mathematics and Technology and MMC and contribute with computational competences for all other engineering students. Examples on how to fit these courses into a study plan are found in the recommended study plans of Mathematics and Technology and Mathematical Modelling and Computation

Course no. | Title | Points (ECTS) | Timetable group |
---|---|---|---|

01005 | Advanced Engineering Mathematics 1 | 20 | E, F |

01257 | Advanced Modelling - Applied Mathematics | 5 | January |

01418 | Introduction to Partial Differential Equations | 5 | E5A |

01666 | Project work - Bachelor of Mathematics and Technology | 10 | F5A, June |

01716 | Advanced Topics in Applied Functional Analysis | 5 | F2B |

02525 | Introduction to Mathematics and Technology | 10 | E1B, January |

02601 | Introduction to Numerical Algorithms | 5 | F1B, E4B |

02610 | Optimization and Data Fitting | 5 | E2A |

02612 | Constrained Optimization | 5 | F4A |

02614 | High-Performance Computing | 5 | January |

02616 | Large-scale Modelling | 5 | F3A |

02619 | Model Predictive Control | 5 | E2B |

02623 | The Finite Element Method for Partial Differential Equations | 5 | January |

02625 | Computational Science in Imaging | 5 | January |

02631 | Introduction to programming and data processing | 5 | E1B, F2B |

02633 | Introduction to programming and data processing | 5 | January, June |

02685 | Scientific Computing for differential equations | 10 | F1A, F1B |

02689 | Advanced Numerical Methods for Differential Equations | 5 | E2B |

02906 | Introduction to Inverse Problems | 5 | E |