ECON323-24S2 (C) Semester Two 2024

Time Series Methods

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

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 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 031 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 Jack Erskine 031 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Monday 14:00 - 15:00 Jack Erskine 442 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Friday 10:00 - 11:00 Jack Erskine 442 Computer Lab
15 Jul - 25 Aug
9 Sep - 20 Oct

Course Administrator

Marco Reale

Lecturer

Richard Penny

Indicative Fees

Domestic fee $893.00

International fee $4,200.00

* 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

  • ECON323-24S2 (C) Semester Two 2024
Previous year Next year