|Teaching method||Contact hours|
|Course coordinator(s)||dr. M de Gee|
|Lecturer(s)||prof. dr. J Molenaar|
|dr. ir. JD Stigter|
|dr. M de Gee|
|dr. JHJ van Opheusden|
|dr. ir. LG van Willigenburg|
|Examiner(s)||dr. M de Gee|
|dr. JHJ van Opheusden|
Language of instruction:
Assumed knowledge on:
MAT-14903 Mathematics 2 and MAT-15003 Mathematics 3.
- linear algebra: matrices, eigenvalues and eigenvectors;
- complex numbers;
- ordinary differential equations: separation of variables and variation of constants; systems of linear differential equations; systems of non-linear differential equations and classification of steady states;
- numerical methods for ordinary differential equations: difference quotients and the Euler method; systems of differential equations; trapezoidal rule and Runge-Kutta; discretization errors; error propagation, stability and stiffness;
- integration in two or three dimensions: limits of integration; coordinate systems and the Jacobian;
- introduction to partial differential equations: flow models, diffusion and convection; boundary and initial conditions; steady states;
- vector fields: flow fields and force fields; the gradient and the laws of Fick, Fourier and Darcy; the potential function; divergence and the Laplace operator;
- Fourier series for partial differential equations: separation of variables and the Sturm-Liouville problem; boundary value problems and Fourier series;
- use of computer software.
After successful completion of this course students are expected to be able to:
- explain and apply concepts, methods and techniques from linear algebra, calculus, vector calculus and numerical mathematics;
- apply mathematical knowledge, insights and methods to solve problems in the technological sciences using a systematic approach;
- critically reflect upon the results;
- correctly report mathematical reasoning and argumentation;
- interpret and evaluate the results in terms of the (physical, chemical, biological) problem that was modelled mathematically;
- use mathematical software (Maple) in elaborating mathematical models.
- preparing for lectures and tutorials by self-study and doing exercises;
- active participation in lectures and tutorials;
- doing the exercises;
- computer practical (compulsory).
- written test with open questions and/or multiple choice questions (100%).
- practical (with compulsory attendance) has to be completed with the grading 'sufficient'.
A sufficient practical result remains valid for a period of one study year.
Lecture notes: Time-dependent Systems. (available: WUR-shop).
Lecture notes: Processes depending on space and time. (available: WUR-shop).
|Compulsory for:||BSW||Soil, Water, Atmosphere||BSc||1AF|
|BES||Environmental Sciences||BSc||C: Environmental Technology||1AF|
|Restricted Optional for:||MES||Environmental Sciences||MSc||1AF|
|MML||Molecular Life Sciences||MSc||C: Physical Biology||1AF|