Introduction to Data Science (ISCG8026)

Level: 
8
Credits: 
15.0 (0.125 EFTS)
Compulsory: 
No
Aim: 
The course explores concepts, methodologies and tools used in the growing and emerging domain of data sciences. Drawing upon a data science pipeline approach and group activities the class learning experience seeks, through contemporary analyse techniques, to turn ubiquitous data into information, knowledge, and data product.
Pre-requisites / Co-requisites: 
Students must be admitted to the Master of Computing programme or the Postgraduate Diploma in Computing programme to enrol in this course. Pre-requisite: Academic Leader approval.
Timetable: 
Choose your class for this course from the option(s) below. You will need to attend all the sessions in that class to complete the course. Where more than one class number is shown, choose one of them and attend all sessions within that class number. (Note: If a class is held in different locations at the same time, you only need to attend all the sessions in one of the locations.)
There are no classes on public holidays.

Class: 2463

You need to attend all sessions of this class as listed below.

From - To Session Day Time Campus (Room)
28 Feb 20 - 28 Feb 20 Computing Friday 13:30 - 14:30 Mt Albert (183-1003)
14 Mar 20 - 14 Mar 20 Computing Saturday 08:30 - 12:30 Mt Albert (183-2104)
15 Mar 20 - 15 Mar 20 Computing Sunday 08:30 - 12:30 Mt Albert (183-2104)
25 Apr 20 - 25 Apr 20 Computing Saturday 08:30 - 12:30 Mt Albert (183-2104)
26 Apr 20 - 26 Apr 20 Computing Sunday 08:30 - 12:30 Mt Albert (183-2104)
23 May 20 - 23 May 20 Computing Saturday 08:30 - 12:30 Mt Albert (183-2104)
24 May 20 - 24 May 20 Computing Sunday 08:30 - 12:30 Mt Albert (183-2104)
20 Jun 20 - 20 Jun 20 Computing Saturday 08:30 - 12:30 Mt Albert (183-2104)
21 Jun 20 - 21 Jun 20 Computing Sunday 08:30 - 12:30 Mt Albert (183-2104)
26 Jun 20 - 26 Jun 20 Computing Friday 13:30 - 14:30 Mt Albert (183-1003)
Note: This course is offered as part of Master of Computing, Postgraduate Diploma in Computing.

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