- Course Code
- EG 2510
- Credit Points
- 15
- Course Coordinator
- Dr A Akisanya
Pre-requisites
Overview
The first part of the course is concerned with the study of eigenvalues and eigenvectors of square matrices. The theoretical results are used to solve systems of linear ordinary differential equations and various other problems arising in engineering.
The second part of the course provides an introduction to probability. Both discrete and continuous random variables are covered. Tree diagrams are used to analyse problems involving conditional probability.
In the third part of the course various topics of numerical analysis are discussed. In particular the numerical solution of (systems of) ordinary differential equations, interpolation and curve fitting techniques are studied.
Structure
3 one-hour lectures and 1 one-hour tutorial per week..
Assessment
1st Attempt: 1 two-hour written examination paper (80%) and in-course assessment (20%).