AMU1018 · Introduction to academic research

Overview

In this unit you will examine the fundamentals of quantitative capabilities and digital literacies required for academic study in your degree courses. The ability to source, evaluate, interpret and represent data using digital resources and toolsets is important in both academic and professional contexts. You will explore these capabilities through discussion and practice and engage with a variety of discipline specific resources to extend your understanding of key quantitative concepts and develop fundamental digital literacy skills. You will develop skills to collect, validate, evaluate, analyse and communicate quantitative information and data using digital toolsets where appropriate, with a focus on developing skills in analysis and visual representation of data in discipline-specific contexts.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Within semester assessment: 100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Identify and evaluate data and information sources relevant to specific disciplines;
2. Apply fundamental quantitative and statistical principles to generate and interpret evidence;
3. Use digital data sources and toolsets to support academic inquiry;
4. Communicate quantitative information and data using digital toolsets and visual media.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Student experience, not official rules. Nothing here changes what the Handbook says.