ECON323-23S2 (C) Semester Two 2023

Time Series Methods

15 points

Details:
Start Date: Monday, 17 July 2023
End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2023
  • Without academic penalty (including no fee refund): Sunday, 1 October 2023

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.

Prerequisites

(1) ECON213; and (2) ECON207; and (3) MATH102

Restrictions

Equivalent Courses

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 11:00 - 12:00 F1 Lectorial
17 Jul - 27 Aug
11 Sep - 22 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 11:00 - 12:00 Rehua 003 Music
17 Jul - 27 Aug
11 Sep - 22 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Friday 09:00 - 10:00 Jack Erskine 442 Computer Lab
17 Jul - 27 Aug
11 Sep - 22 Oct
02 Friday 15:00 - 16:00 Jack Erskine 442 Computer Lab
17 Jul - 27 Aug
11 Sep - 22 Oct

Course Administrator

Marco Reale

Lecturer

Richard Penny

Indicative Fees

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.

For further information see Department of Economics and Finance .

All ECON323 Occurrences

  • ECON323-23S2 (C) Semester Two 2023