Official course description:
Basic info last published 26/02-19

### Linear Algebra and Optimisation

##### Course info
Language:
English
ECTS points:
7.5
Course code:
BSLIALO1KU
Offered to guest students:
-
Offered to exchange students:
Offered as a single subject:
-
##### Programme
Level:
Bachelor
Programme:
BSc in Data Science
Semester
Efterår 2018
Start
27 August 2018
End
28 December 2018
##### Abstract

This is a course in mathematics covering linear algebra and analysis (calculus) of functions of several variables. These are perhaps the two areas of mathematics that have found most uses in practical applications. In particular, the course equips the student with mathematical tools necessary for analysis of big data.

##### Description

Linear algebra and analysis (calculus) of functions of several variables are perhaps the two areas of mathematics that have found most uses in practical applications. In particular, the course equips the student with mathematical tools necessary for analysis of big data.

The topics covered in the linear algebra part of the course include systems of linear equations, matrices, determinants, vector spaces, bases, dimension, and eigenvectors. The topics covered in the calculus part include partial derivatives, gradients, Lagrange multipliers and multiple integrals. A number of applications of the material will be covered in the course, including least squares analysis and Google’s PageRank algorithm.

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##### Intended learning outcomes

After the course, the student should be able to:

• Solve systems of linear equations and multivariable optimisation problems.
• Define the basic concepts of linear algebra and multivariable calculus, e.g., eigenvalues or directional derivative.
• Compute the essential constructions of linear algebra and multivariable calculus, such as the inverse of a given matrix or the gradient of a function.
• Apply the tools of linear algebra and calculus to solve small mathematical problems.
##### Ordinary exam
Exam type:
X: Special exam type, external (7-trinsskala)
Exam description:
The exam is a 4 hour written exam 1. Solutions submitted hand written on paper. 2. Access to aid in the form of books, own notes, e-books, also on laptops and iPads is permitted. 3. Use of internet including email and social media is not permitted. 4. Use of any other hardware or software such as MatLab or pocket calculators is not permitted 5. Any form of communication between students or with the outside world is not permitted. The re-exam form is the same as above.