### General Information

Course Code | X_400638 |
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Credits | 6 EC |

Period | P1+2 |

Course Level | 100 |

Language of Tuition | English |

Faculty | Faculty of Science |

Course Coordinator | dr. R. Planque |

Examiner | prof. dr. A.C.M. Ran |

Teaching Staff |
dr. R. Planque |

### Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods | Seminar, Lecture |
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Target audiences

This course is also available as:

### Course Objective

After this course...1. ...the student is able to solve linear systems of equations.

2. ...the student is able to invert matrices, and to characterise

(non)invertible matrices.

3. ...the student is able to compute the determinant of a matrix, and to

use it in different linear algebra contexts.

4. ...the student can apply the theory of vector spaces to linear

algebra problems, can calculate a basis for (sub)spaces.

5. ...the student can calculate the eigenvalues and eigenvectors of a

matrix, can perform a diagonalisation, and can use these techniques to

study linear difference equations.

6. ...the student can orthogonalise a set of vectors, can work with

inner products and norms, and can perform projections on subspaces.

7. ...the student can show whether a quadratic form is positive or

negative definite, and can perform a Singular Value Decomposition.

8. ...the student can prove small linear algebra theorems in a logical

mathematical argument.

### Course Content

The following subjects will be covered in this course:- solving systems of linear equations;

- linear (in)dependence;

- matrix operations;

- determinants;

- vector spaces and subspaces;

- basis and dimension of vector spaces;

- rank of a matrix, the rank theorem;

- coordinate systems and changes of basis;

- eigenvalues and eigenvectors;

- diagonalisation of matrices;

- LU and QR factorisations of a matrix;

- inner product, length, orthogonality;

- orthogonal projections, method of least squares;

- symmetric matrices and their orthogonal diagonalisation;

- quadratic forms;

- singular value decomposition of a matrix

### Teaching Methods

Every week there are two lectures and one exercise class, of two hourseach.

### Method of Assessment

This course has two written exams, one in each period.The Mathematics student additionally have four short written tests made

during the tutorials. You will have passed the course if you meet the

following requirements:

- at least a 5.0 for the first exam;

- at least a 5.0 for the second exam;

- at least a 5.5 on average;

- for Mathematics student: if you have attended at least 10 out of 14

tutorials.

The two exams and (for Mathematics students) the short tests together

form your final grade as follows:

a) for students in Econometrics & OR: 40% for exam 1 and 60% for exam 2.

b) for students in Mathematics: 30% for exam 1, 50% for exam 2, and 20%

for the average of the short tests.

Mathematics students that cannot or do not have to take part in the

tutorials (as decided by the study advisor, for example part time

students) receive their final grades using the rules for Econometrics &

OR students, so 40% for the first exam and 60% for the second.

Your final grade is rounded to the nearest half point, taking into

account that averages between 5.0 and 6.0 are rounded to the nearest

integer.

Resits:

In case you failed the course, you need to take a resit to pass the

course, an exam that covers the entire contents of the course. For

mathematics students: the short tests form part of your resit grade, for

20%, if and only if this yields a higher final grade. For Econometrics &

OR students, only the resit exam counts towards your resit grade.

### Entry Requirements

High school mathematics### Literature

David C. Lay, Stephen R. Lay and Judi J. McDonald, Linear Algebra andits Applications, 5th edition, Pearson Global Edition,

ISBN-139781292092232