ETC5512 - Wild-caught data - Monash University

Overview

Open data is a raw material for the digital age but unlike coal, timber or diamonds, it can be used by anyone and everyone at the same time. This unit will equip you with the skills to find, access, process, and prepare open data for further analyses. There are many ways that data can be collected, via experiments, observation, sampling, or sensors. There are many different formats, such as csv, JSON, spatial polygons, or html tables, to learn how to read. Accessing data might be through a database query, a GUI, an API, or scraping web sites. You will also learn about ethics and privacy issues with using open data, and how effectively curate your own open data.

Offerings

S1-01-CLAYTON-BLENDED

Contacts

Chief Examiner(s)

Kate Saunders

Teaching approach

Active learning

Assessment

1 - Within semester assessment

Scheduled and non-scheduled teaching activities

Seminars

Tutorials

Workshops

Workload requirements

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. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.