DATA417-20S1 (C) Semester One 2020

The Trustworthy Data Scientist

15 points

Details:
Start Date: Monday, 17 February 2020
End Date: Sunday, 21 June 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 28 February 2020
  • Without academic penalty (including no fee refund): Friday, 29 May 2020

Description

This course will stimulate students to think about the ethical facets of their data scientific projects and provide them with conceptual and practical tools to assess said project. The ethics and security of data collection, storage, manipulation, analysis and communication is of paramount importance in our information based society. This course faces these topics from the point of view of data scientists-rather than consumers or data subjects-enabling the student to become trustworthy professionals. The students will learn to identify risk and opportunities related to fairness, agency, interpretability, and security. Maori Data Sovereignty, Te Mana Raraunga, and its relevance for data scientist in New Zealand will be introduced. The course will follow a flipped class-room flow. Fundamental concepts will be first introduce via guided discussions and hands-on-data exercises during the laboratories. In the lectures, the understanding of concepts and tools introduced in the laboratories is made rigorous and generalised.

Pre-requisites

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

Timetable 2020

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 15:00 - 16:00 - (23/3, 20/4, 4/5-25/5)
Rehua 529 (17/2-16/3)
17 Feb - 29 Mar
20 Apr - 26 Apr
4 May - 31 May
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 10:00 - 11:00 - (23/4-28/5)
Jack Erskine 442 (20/2-19/3)
17 Feb - 22 Mar
20 Apr - 31 May

Course Coordinator

For further information see Mathematics and Statistics Head of Department

Indicative Fees

Domestic fee $942.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Mathematics and Statistics.

All DATA417 Occurrences

  • DATA417-20S1 (C) Semester One 2020