ECON323-22S2 (C) Semester Two 2022

Time Series Methods

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

Analysis of sequentially collected data including data modelling and forecasting techniques.

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) ECON213; and (2) ECON207 or
FINC205; and (3) MATH102

Restrictions

Equivalent Courses

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 E14 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 09:00 - 10:00 E14 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 Jack Erskine 442 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct
02 Wednesday 15:00 - 16:00 Jack Erskine 442 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct

Course Administrator

Marco Reale

Lecturer

Richard Penny

Indicative Fees

Domestic fee $845.00

International fee $3,975.00

* 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 Department of Economics and Finance .

All ECON323 Occurrences

  • ECON323-22S2 (C) Semester Two 2022