Overview

This is the first in a series of data challenges units which collectively develop a broad range of knowledge and transferable skills through studio-based learning, applied problem-solving and the exploration of a broad diversity of cross-disciplinary and industry-relevant data science case studies over the course. In recent years the world … For more content click the Read More button below.

Offerings

S1-01-CLAYTON-ON-CAMPUS
S1-01-MALAYSIA-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Simon Clarke

Unit Coordinator(s)

Dr Vladka Seckarova
Dr Ashish Dutt

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Identify the principles of scientific thinking and apply them in the context of data science;

2.

Reflect upon how to create and deliver results in interdisciplinary teams;

3.

Critique the ethical and multicultural dimensions associated with data science decisions, use and quality and their possible impacts on organisations and society;

4.

Communicate outcomes effectively in a range of formats including orally, visually and in written form;

5.

Identify the various steps to perform data analysis and visualisation;

6.

Explore the importance of data in a variety of fields including science, IT and business.

Teaching approach

Online learning

Assessment

1 - Reflective journal
2 - Continuous assessment

Scheduled and non-scheduled teaching activities

Workshops

Workload requirements

Workload

Learning resources

Technology resources