Course level

Postgraduate Coursework

Faculty

Engineering, Architecture & Information Technology

Schools

Communication & Arts School, Info Tech & Elec Engineering, Mathematics & Physics School

Units

2

Duration

One Semester

Class contact

2 Lecture hours, 1 Tutorial hour, 2 Practical or Laboratory hours

Prerequisite

Program entry requirements

Restricted

Restricted to MDataSc students only.

Assessment methods

Assignments, projects and Exams

Course coordinator

Shazia Sadiq (shazia@itee.uq.edu.au)

Current course offerings

Course offerings Location Mode Course Profile
Semester 1, 2018 St Lucia Internal Profile unavailable

Please Note: Course profiles marked as not available may still be in development.

Course description

This course introduces the fundamental process of data science and provides the necessary computational and statistical foundations for further courses in the master of data science. Design thinking methodology will be utilised to approach complex data science problems as a design problem. The data science process will be practiced through case studies in a number of data-intensive domains.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2017 St Lucia Internal Course Profile