Slides will be added throughout the course. You can download pdf versions by clicking on the links below:

Lecture 1: Introduction to MATLAB

Lecture 2: MATLAB files and programs

Lecture 3: Introduction to Differential Calculus

Lecture 4: Introduction to applications

Lecture 5: Matrices and vectors

Lecture 6: Using matrices and vectors

Lecture 7: Vector applications

Lecture 8: Introduction to probability and statistics

Lecture 9: Applied probability and statistics

Lecture 10: Introduction to data analysis

Lecture 11: MATLAB Visualisation

Lecture 12: Applied data analysis

Tutorials:

Matlab and Neural Network Basics

Differentiation and Learning Rules

Vectors and Matrices

Presentations:

Introduction to Neural Networks

Statistics made easy: Introduction to basic principles

Contact:

Lectures: Kingsley Sage --- Labs: TBA Office hours: No formal office hours - just drop me an e-mail