What's On at UWA

A guide to some of the skills needed for summarising examining and comparing data sets. Topics include types of data, visual representation, measures of centre and spread, linear transformations, z-scores.

Recommended for anyone studying introductory stats.

It's no secret that scientists (and others) use numbers, formulas, graphs and tables in their work. This workshop discusses some of the mathematical techniques you will find useful in your scientific studies. Topics include fractions, decimals, percentages, rates, Scientific Notation, the SI Unit (...)

Introduces some standard mathematical language (notations) useful in all areas of maths. Being fluent with this language often enables you to make the transition from brain to paper with ease so you can demonstrate a logical flow of ideas. This will make your work clearer to those who assess it (...)

*WRITESmart workshops by request: Visit our website (www.studysarter.uwa.edu.au), follow the links, and vote. We'll pick the most popular.

Mathematical knowledge grows in logical steps so it's worth knowing how those steps are taken. Topics include compound statements, connectives, converse, the contrapositive, necessary and sufficient conditions, proof, axioms, theorems, deductive proof, proof by contradiction.

Recommended (...)

Detect and correct your algebraic errors and become mathematically independent by understanding expressions rather than memorizing lots of rules. This session focuses on common mistakes and misconceptions and shows you how to avoid them. Techniques for checking your algebraic steps are also (...)

*WRITESmart workshops by request: Visit our website(www.studysarter.uwa.edu.au), follow the links, and vote. We'll pick the most popular.

Topics in functions and graphs.

In Linear Algebra, the concept and algebraic definition of a subspace can be difficult to visualise the first time you see them. In this workshop we match this algebraic definition to simple geometric properties based on vectors to build the foundations of an intuitive understanding of subspaces in (...)

Inference (or hypothesis testing) is a widely used technique for assessing evidence from data so it gets covered in most introductory statistics or data analysis units. The good news is that all statistical tests follow the same underlying structure. In this workshop we explore this structure in a (...)

This sesssion introduces limits (left hand, right hand and limits at a point), including visual representations, and discusses a collection of tools to help you calculate limits. You will see that most limits can be calculated mentally and develop thought processes before writing down your workings (...)