Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
At the end of this course students will be able to ...
... implement the main algorithms of numerical analysis correctly and efficiently in Matlab.
... perform numerical calculations to solve nonlinear algebraic problems, eigenvalue problems, interpolation problems, signal processing
... apply methods from numerical analysis in a scientific setting.
... evaluate the reliability of numerical methods.
... report comprehensively on the structure of her/his algorithms as well as the computations performed using her/his code.
Numerical methods are used frequently in all areas of science, such as fluid dynamics, meteorology and financial risk management. Moreover, techniques from numerical analysis play an important role in mathematical research on differential equations, stochastics,
optimization, etcetera. We focus on the main numerical methods from modern-day analysis and scientific computing.
The list of subjects includes:
* error analysis
* systems of nonlinear equations
* eigenvalue problems
* least square methods
* fast Fourier transform
* ordinary (and partial) differential equations (no prerequisites
* phone number recognition
* Google/Page rank algorithm
* data analysis
* curve following
* planet motions
* and more.
Lectures (once a week, 1x2=2 hours) and computer labs (once a week, 1x2=2 hours). A number of Matlab assignments form an integral part of the course.
TYPE OF ASSESSMENT
The final grade is based on a set of reports and computer codes that have to be handed in. In 2017/18 the weights were as listed below, but these may be revised for 2018/19. Precise details will be available on Canvas at the start of the course.
First assignment; two exercises [2 x 4.5 = 9%]
Second assignment; two exercises [2 x 5.5 = 11%]
Third assignment; three exercises [3 x 6.5 = 19.5%]
Fourth assignment; two exercises [2 x 8 = 16%]
Fifth assignment; two exercises [2 x 8 = 16%]
Sixth assignment; three exercises [3 x 9.5 = 28.5%]
A basic course in Linear algebra (e.g. X_400041, X_400042, X_400638 or X_400639) and Multivariable calculus (e.g. XB_41008).
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.