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MAT110_1

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.

Required prerequisite knowledge

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
Head of Department
Bjørn Henrik Auestad

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: 13.11.2019

History