Course co-ordinator(s): Dr Alexandre Martin (Edinburgh), Sam Palmer (Malaysia).
Aims:
Linear Algebra is, at its core, the study of systems of linear equations. Because systems of linear equations are relatively easy to solve, many scientific fields (physics, engineering, economics, etc.) use simplified models where equations are approximated by linear ones, making Linear Algebra a central tool.
The goal of this course is to introduce the basic ideas and techniques of Linear Algebra, and to develop the geometric viewpoint that will allow you to reinterpret and solve many problems using this language. For instance, we will see how techniques from Linear Algebra can be used to approximate statistical data, model dynamics of populations, or even understand the PageRank algorithm used by Google to rank websites.
Detailed Information
Pre-requisite course(s): F17CC Introduction to University Mathematics .
Location: Edinburgh, Malaysia.
Semester: 1.
Further information: Syllabus, Number of lectures, Assessment, Learning Outcomes.
SCQF Level: 8.
Credits: 15.