ECON314-21S2 (C) Semester Two 2021

Economic Analysis of "Big Data"

15 points

Details:
Start Date: Monday, 19 July 2021
End Date: Sunday, 14 November 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 1 August 2021
  • Without academic penalty (including no fee refund): Friday, 1 October 2021

Description

With the decrease of the cost of storing data, both the size and the variety of available data has increased dramatically. In this course, we will discuss how such 'big data', and the 'artificial intelligence' that may result from it, is affecting both the economy itself and how the economy can be analysed. We will analyse the impact of big data and artificial intelligence on the economy through various examples of how businesses and governments can benefit from big data and artificial intelligence, but also of how big data and artificial intelligence can be abused by them. We also discuss how big data and artificial intelligence has created new ways to analyse the economy, by providing new ways to collect data (for example, web scraping) and by creating new types of data (for example, Google Trend/Correlate data, Text data and Image data) that can be used to analyse the economy.

Learning Outcomes

University Graduate Attributes

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

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Pre-requisites

(1) ECON105; and (2) ECON213 or
ECON214

Timetable 2021

Students must attend one activity from each section.

Computer Lab A
Activity Day Time Location Weeks
01 Monday 09:00 - 11:00 Rehua 008 Computer Lab
19 Jul - 29 Aug
20 Sep - 24 Oct
Computer Lab B
Activity Day Time Location Weeks
01 Friday 13:00 - 15:00 Rehua 008 Computer Lab
19 Jul - 29 Aug
13 Sep - 17 Oct

Examination and Formal Tests

Test A
Activity Day Time Location Weeks
01 Monday 08:00 - 11:00 Ernest Rutherford 464 Computer Lab
13 Sep - 19 Sep
Test B
Activity Day Time Location Weeks
01 Friday 13:00 - 16:00 Jack Erskine 248 Computer Lab
18 Oct - 24 Oct

Course Administrator

Tom Coupe

Notes

Assessment
• Students are encouraged to be present at the lectures and participate in the class discussions and are expected to actively participate in the group assignments.
• There will be a midterm test (30% of grade), a final test (30% of grade) and several graded assignments and quizzes (together 40% of the grade).
• Some assignments might require individual work, others might require work in groups.
• Academic (or any other form of) dishonesty will not be tolerated. See the Student Handbook for details.

Indicative Fees

Domestic fee $929.00

International fee $4,138.00

* 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.

Minimum enrolments

This course will not be offered if fewer than 10 people apply to enrol.

For further information see Department of Economics and Finance .

All ECON314 Occurrences

  • ECON314-21S2 (C) Semester Two 2021