DATA417-22S2 (C) Semester Two 2022

The Trustworthy Data Scientist

This occurrence is not offered in 2022

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 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.

Learning Outcomes

  • Having engaged in learning during the course, you will be able to
  • assess the ethical impact of data science project and products, exercising your ethical imagination, engaging in dialogue the relevant communities affected by your decisions, and deploying mathematical, statistical, and computational tools to aid you.
  • design and develop a data science project aware of the existing ethical requests.

      • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Biculturally competent and confident

      Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.

Prerequisites

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

Course Coordinator / Lecturer

Giulio Dalla Riva

Textbooks / Resources

There is no mandatory textbook for the course, however I will invite you to read and discuss a lot of material.

One of your assessments requires you to read and review, before the end of the course, a book of your choice from a list that will be made available in the first week of the course (and will be enriched as time goes by with more choices). If you wish to base that assessment on some other text, just let me know and we can discuss it.

To have an idea of what texts I suggested in the past, look at data471.gvdallariva.net

Indicative Fees

Domestic fee $969.00

* 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 .

All DATA417 Occurrences

  • DATA417-22S2 (C) Semester Two 2022 - Not Offered
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