Introduction to Big Data Analytics (2030ICT)

The course introduces the foundations of Big Data in a manner that covers the key concepts and characteristics of big data analytics and its real-world application. Students will learn about the practical applications needed to perform analytical tasks with the primary focus being on the visualisation and representation of that data. (WIP)

Course study information

Credit points (awarded)

10 (10)

Study level

Undergraduate

Student contribution band

Band 2

Usually available

Gold Coast Trimester 2Nathan Trimester 2

Course offerings and timetables

Convenor

Key dates

Course start date
8 July 2019
Last day to add a course
21 July 2019
Last day to drop a course without financial penalty (Census date)
4 August 2019
Last day to drop a course without academic penalty
8 September 2019

Please view the full class and additional timetable information for School of Information and Communication Technology

Class Availability When Where Notes
You must attend this Lecture
Lecture (47628) Open Wednesday 09:00 - 10:50
Weeks 1 - 5, 6 - 12
N16 0.06
Macrossan Building
Nathan Campus
Class Availability When Where Notes
You must attend this Computer Laboratory
Computer Laboratory (47629) Open Wednesday 12:00 - 13:50
Weeks 1 - 5, 6 - 12
N44 2.25
Technology Building
Nathan Campus

Convenor

Key dates

Course start date
8 July 2019
Last day to add a course
21 July 2019
Last day to drop a course without financial penalty (Census date)
4 August 2019
Last day to drop a course without academic penalty
8 September 2019

Please view the full class and additional timetable information for School of Information and Communication Technology

Class Availability When Where Notes
You must attend this Lecture
Lecture (47626) Open Monday 12:00 - 13:50
Weeks 1 - 5, 6 - 12
G01 3.55
Academic 1
Gold Coast Campus
Class Availability When Where Notes
You must attend this Computer Laboratory
Computer Laboratory (47627) Open Monday 15:00 - 16:50
Weeks 1 - 5, 6 - 12
G23 2.27
Multimedia Building
Gold Coast Campus