NUMERIEKE ALGORITMEN
 
Lectured in 1st year Bachelor in Industrial Sciences in Computer Science
Theory [A] 25.0
Exercises [B] 38.0
Training and projects [C] 0.0
Studytime [D] 170
Studypoints [E] 6
Level specialized
Language of instruction Dutch
Lecturer Monique WYBO
Reference IBIWIT01A00001
 
Key words
Informatica, P170, P175, T120

Objectives
In this course the student acquires the abilities insight in basic techniques of numerical mathematics. He will translate these into computer programs. Developing these programs he learns to debug and test them; these abilities are a necessary precondition for later specialised courses.

Topics
In the theoretical sessions the following topics are treated: interpolation, finding the roots of equations, numerical derivation and integration, numerical integration of differential equations, linear programming, solving linear systems of equations, eigenvalues and eigenvectors.
Lab sessions consist partly of theoretical exercises, exercises with an application package, and programming exercises. In the latter there is an emphasis on program debugging and testing.

Prerequisites
Abilities acquired in Wiskunde I.

Final Objectives
Scientific competentions:
        The student is able to solve a problem in numerical mathematics in a theoretical way, and using an application package.
        The student is able to analyse a numerical problem and to translate it into a computer program.

Specific competentions
        The student is able to test and debug a self-written program.
        The student is able to to write a program implementing a numerical algorithm.
        The student is able to construct an algorithm solving a problem in numerical mathematics.



Materials used
Numerieke Wiskunde (M. Wybo)
Handouts with assignments for exercises and lab sessions, handouts on debugging and testing.

Study costs
€ 12 (handouts and copies of assignment texts).

Study guidance
Explanations during lab sessions or after appointment.

Teaching Methods
Theory: explanatory sessions.
Lab sessions: autonomous work using a personal computer and classical exercises.

Assessment
Theory: written examination (47%)
Lab sessions: permanent evaluation, marked assignments and tests (53%)

Lecturer(s)
Departments of Mathematics and Computer Science.