ECON635-25S2 (C) Semester Two 2025

Macroeconomics

15 points

Details:
Start Date: Monday, 14 July 2025
End Date: Sunday, 9 November 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 27 July 2025
  • Without academic penalty (including no fee refund): Sunday, 28 September 2025

Description

Macroeconomics presents students with the major theories of modern macroeconomics based on micro-founded models. This course covers both advanced macroeconomic theory and empirical analysis of macroeconomic fluctuations and economic growth. Students will read and analyse articles in the academic literature. The course further equips students with the mathematical concepts and tools necessary to understand modern macroeconomic literature, such as algebraic manipulations, solving systems of equations, differential calculus and differential equations, and constrained optimisation.

Learning Outcomes

1. A graduate can demonstrate higher level in-depth knowledge and understanding of contemporary thought and developments within your specific research area.
2. A graduate can evaluate the implications of their own research findings for the wider body of relevant academic literature.
3. Graduates can plan and carry out a supervised programme of academic research that shows a sound understanding of ethical practice.
4. A graduate can synthesise academic literature and communicate research findings, both orally and in written form, consistent with academics working in their chosen discipline.

Prerequisites

Subject to approval of the Head of Department.

Restrictions

ECON605

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 09:00 - 11:00 Jack Erskine 242
14 Jul - 24 Aug
8 Sep - 19 Oct

Course Coordinator

Philip Vermeulen

Assessment

Assessment Due Date Percentage 
Presentation assignment 15%
Reading assignment 25%
Exercise assignment 25%
Case study assignment 35%


The ‘45% rule’ does not apply to this course. That is, student does not need to reach 45% weighted average across invigilated assessments.

Guidelines for the Use of AI in Coursework
The use of AI may or may not be permitted in courses. Within a course, permission may vary by assignment. It is the responsibility of the student to inform themselves about assessment conditions and submit work that is their own and that properly acknowledges the work of other people and tools, including generative artificial intelligence tools.

It is important to familiarise yourself with the UC Misconduct Procedure Guide for Students. Examples of academic misconduct include, but are not limited to:
Where a student uses a generative artificial intelligence (AI) tool for an assessment in a manner that is not expressly permitted or fails to acknowledge the use of a generative AI tool as instructed.

Assessment In Te Reo Māori
In recognising that Te Reo Māori is an official language of New Zealand, the University provides for students who may wish to use the Te Reo Māori in their assessment. If you intend to submit your work in Te Reo Māori you are required to do the following:

Read the Assessment in Te Reo Māori Policy and ensure that you meet the conditions set out in the policy. This includes, but is not limited to, informing the Course Coordinator 1) no later than 10 working days after the commencement of the course that you wish to use Te Reo Māori and 2) at least 15 working days before each assessment due date that you wish to use Te Reo Māori.

Textbooks / Resources

The required textbook for this course is: David Romer. 2019. Advanced Macroeconomics,
Fifth Edition. Mc Graw Hill.

Other readings will be provided on the course’s Learn site.

Indicative Fees

Domestic fee $1,130.00

* 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 ECON635 Occurrences

  • ECON635-25S2 (C) Semester Two 2025