The most important parts of each topic are covered in lectures. Thereafter the students are given exercises on the same topics. The aims of the exercises are for students to understand methods and ideas as well as to be able to apply the subject various subjects to relevant problems.

Theoretical understanding of the basic methods in applied linear algebra, selected optimization problems and insight in selected practical applications, i.e: - Numerical aspects associated with solving Linear Equations - Vector Spaces and Linear Transformations - Diagonalization and change of Change of Coordinate Basis - Inner Products, Length, Orthogonality and Inner Product Spaces - Orthogonal Projections and Least-Squares Problems - The Singular Value Decomposition Some possible applications: - Constrained Optimization - Linear Regression (Principal Component Regression, Ridge Regression, Weighted Least Squares, Partial Least Squares) - Dynamical Systems - Linear Programming - Image Analysis - Economical analysis

The teaching is given as lectures of the person responsible for the course and practical excercises.

The students can contact the teacher responsible for the course at the teacher's office, by telephone or by e-mail.

Announced at the first lecture.

MATH113 or MATH131

MATH111, MATH112, basic skills in MATLAB or a similar software package.

Theory (lectures and self-study): 200 hours. Discussion groups (not compulsory), exercises, preparations for exam: 100 hours.

Special requirements in Science

10 credits reduction against MATH260

Lectures: 4 hours per week. Calculation exercises 2 hours per week.

Students who demand teaching in English must put this request at least two weeks before the teaching period starts.

The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate¿s exams as a calibration according to the Department's guidelines for examination markings.