Associate Lecturer - Advanced Statistics: Statistical Inference (HE1)

For all relevant UOL programmes

ST2134 Advanced Statistics: Statistical Inference

To ‘infer’ means to make general statements on the basis of specific observations. From an early age, people are experts at performing inference. It is such a fundamental part of our intelligence that we do it even subconsciously. We learn to classify objects on the basis of a very limited set of examples. From just a few simple pictures, a child will learn to infer that anything displaying certain characteristics of a long neck and long, thin legs is a giraffe. Of course, the immediacy with which people draw inferences can lead to mistaken inferences– some harmless, or even amusing. However, sometimes misplaced inferences can feed our prejudices and lead us to completely incorrect conclusions about other people’s natures or intentions

Prerequisite

If taken as part of a BSc degree, the following courses must be passed before this course may be attempted:

ST1215 Introduction to Mathematical Statistics and MT1186 Mathematical Methods

Aims and objectives

 To explain the principles of data reduction

 To judge the quality of estimators

 To choose appropriate methods of statistical inference to tackle real problems.

Assessment This course is assessed by a three hour 15 minutes written examination (100%).

A Ph.D or Master's Degree in related discipline from a reputable university.

Other requirements:

• At least 2 years of relevant teaching experience at the tertiary level is preferred
• 5 years of relevant work experience will be an added advantage
• Applicant must be able to teach day time classes.

We regret that only shortlisted candidates will be notified.