DATA420-22S2 (D) Semester Two 2022 (Distance)

Scalable Data Science

15 points

Details:
Start Date: Monday, 18 July 2022
End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 31 July 2022
  • Without academic penalty (including no fee refund): Sunday, 2 October 2022

Description

This course will introduce students to core topics in scalable data science based on distributed-computing techniques. This is a very practical course, with students learning by experimenting on a computer cluster.

This occurrence of the course is for approved online students only. On-campus students should enrol in the (C) occurrence of this course.

Prerequisites

Subject to approval of the Head of Department of Mathematics and Statistics.

Lecturer

James Williams

Indicative Fees

Domestic fee $1,051.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

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