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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.
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.
(1) ECON105; and (2) ECON213 or ECON214
Students must attend one activity from each section.
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.
Domestic fee $868.00
International fee $4,075.00
* 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.
This course will not be offered if fewer than 10 people apply to enrol.
For further information see
Department of Economics and Finance