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À propos de ce poste Associate Lecturer - Advanced Statistics: Statistical Inference (HE1) chez Singapore Institute of Management

Singapore Institute of Management · Sur site · Clementi Campus

Job Description

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%).

Job Requirement

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.

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À propos de Singapore Institute of Management

The Singapore Institute of Management (SIM) is one of the region’s leading education and lifelong learning institutions, recognized for empowering individuals and enterprises to thrive across life stages through learning. Seeded by the Singapore Economic Development Board in 1964, SIM has, for close to 60 years, been leading in the development of work and industry skills for Singapore’s growth. Through harnessing new knowledge, skills and technology, SIM provides skills-based learning experiences that enable students, professionals, and enterprises to Learn for Life and Thrive for Life. SIM achieves this through SIM Global Education (SIM GE) and SIM Academy. SIM GE focuses on higher educatio

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