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# Linear Algebra

This is the study programme for 2019/2020. It is subject to change.

The course gives an introduction to linear equations, matrices, determinants, vector spaces, eigenvalues, diagonalization problem.

### Learning outcome

By the end of this course a successful student should be able to:
• Be familiar with some of the techniques and ideas in linear algebra.
• Be able to deal with systems of linear equations. Understand the connection both between the set of solutions and vector spaces, and between linear systems and linear transformations.
• Understand the use of orthogonality and manage to construct orthogonal basis for certain vector spaces.
• Be able to deal with the diagonalizationproblem.

### Contents

The course gives an introduction to linear equations, matrices, determinants, vector spaces, eigenvalues, diagonalization problems.

None.

### Exam

Weight Duration Marks Aid
Written exam1/14 hoursA - FNo printed or written materials are allowed. Approved basic calculator allowed.

### Course teacher(s)

Course teacher
Marco Rampazzo
Course coordinator
Anders Tranberg

### Method of work

6 hours lectures and problem solving per week.

### Overlapping courses

Course Reduction (SP)
Mathematics 6 - Linear Algebra (ÅMA140_1) 10
Mathematical methods 2B (TE0550_1) 5
Linear algebra with applications (MPT100_1) 3
Mathematical methods 2b (ÅMA270_1) 5
Mathematical Methods 2 (ÅMA260_1) 5
Mathematical methods 2 (TE0561_A) 5
Mathematical methods 2B (TE0550_A) 5
Mathematical Methods 2 (MAT200_1) 5

### Open to

Mathematics - One Year Foundation Programme at the Faculty of Science and Technology.

Bachelor studies at the Faculty of Science and Technology.

Master studies at the Faculty of Science and Technology

### Course assessment

Form and/or discussion

### Literature

Howard Anton; Elementary Linear Algebra.

This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 27.05.2020