6 EC
Semester 1, period 2
5284NUAL6Y
| Owner | Master Computational Science (joint degree) |
| Coordinator | dr. Chris Stolk |
| Part of | Master Computational Science (Joint Degree), |
The course gives a broad overview of basic numerical methods for solving Linear Systems, Least Squares problems, Eigenvalue problems, Nonlinear equations, Optimization problems, Interpolation and Quadrature problems, and Ordinary Differential Equations. These methods form the basis for many numerical algorithms used in computational science and engineering.
Micheal E. Heath, 'Scientific Computing, an Introductory Survey', SIAM, Philadelphia, USA, revised 2nd Edition, 2018, ISBN 9781611975574.
Lectures, practical sessions, self-study. See info on Canvas.
Activity | Number of hours |
Hoorcollege | 28 |
Laptopcollege | 28 |
Tentamen | 3 |
Zelfstudie | 109 |
This programme does not have requirements concerning attendance (Ter part B).
| Item and weight | Details |
|
Final grade | |
|
0.6 (60%) Tentamen | Must be ≥ 4.5 |
|
0.4 (40%) Homework assignments | |
|
0.1666 (17%) Homework 1 | |
|
0.1667 (17%) Homework 2 | |
|
0.1667 (17%) Homework 3 | |
|
0.1666 (17%) Homework 4 | |
|
0.1667 (17%) Homework 5 | |
|
0.1667 (17%) Homework 6 |
Exam ("tentamen") grade must be >= 4.5. Exam is an online exam supervised using Zoom videoconferencing software. Online exam protocol will be put on Canvas. Tools for exam: Pen and paper. Student may use a cheat sheet of two pages A4 (single sided), they can make it themselves or use a copy of a cheat sheet prepared by a colleague in the class.
Assignment grades will remain valid also in case of the resit, i.e. in the above computation the resit grade will replace the exam grade.
Partial results from previous years are no longer valid. This is in accordance with the teaching and exam regulations (TER).
The assignments are to be made in groups of two and will be graded.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
| Weeknummer | Onderwerpen | Studiestof |
| 1 | see Canvas | |
| 2 | ||
| 3 | ||
| 4 | ||
| 5 | ||
| 6 | ||
| 7 | ||
| 8 |
The schedule for this course is published on DataNose.
Recommended prior knowledge: Basic knowledge of Calculus and Linear Algebra
Software tools: Online meetings are held via Zoom and Microsoft Teams. Programming assignments are to be done in Python using Jupyter notebooks.