IDT305 - Awareness of Data Analysis Tools, Machine Learning & AI

IDT305 Course Summary 

This is a level 3 course.

ESP units at Level 3 cover core and foundational aspects of a topic to provide an introduction and overview of a topic. Units are accessible to learners who have studied STEM subjects at this or lower levels, but are also suitable for learners with higher level qualifications in other STEM areas/disciplines seeking an introduction to emerging technologies.

Knowledge : Has factual, procedural and theoretical knowledge and understanding of a subject or field of work to complete tasks and address problems that while well-defined, may be complex and non-routine. Can interpret and evaluate relevant information and ideas. Is aware of the nature of the area of study or work. Is aware of different perspectives or approaches within the area of study or work.

Skills : Identify, select and use appropriate cognitive and practical skills, methods and procedures to address problems that while well-defined, may be complex and non-routine. Use appropriate investigation to inform actions. Review how effective methods and actions have been.

The learning outcomes for this unit include:

• Understand organisation standards, policies and procedures for data management activities.

• Understand different types of data, how to collect data and assemble data into spreadsheets and databases.

• Use manufacturing/process databases to perform queries, extract and migrate data.

• Introduction to machine learning and artificial intelligence for manufacturing applications.