ECON41620

Learning Outcomes:

The module will teach students how professional marcoeconomists think about the economy. It will also allow students to master technical methods that will enable them to read and understand state of the art material in macroeconomics. MATLAB software will be used for empirical applications.

Indicative Module Content:

VAR series, macroeconometrics
The neoclassical RBC dicentralised general equilibrium model
The New-Keynesian DSGE model
Criticism and the future of modern macroeconomics
Fiscal and Taxation policy

Student Effort Hours:

Approaches to Teaching and Learning:

Lecture in class: 2 hours per week
Enquiry & problem-based learning: The students need to give the solution of the questions asked in class. During the lecture, they will be provided feedback on their answers.
Debates and case-based learning: Students will be presented with real economic examples and they will be asked to debate on whether the models described in class can explain those examples. They will also be asked to debate on supporting or criticizing the recent macroeconomic literature.

Policy on the use of Generative AI: Generative AI, such as ChatGPT, may be used in this module in the following ways:

• To understand main concepts/theories and find definitions.
• To correct grammar and improve the writing style of your own work.
• For technical assistance, such as instructions on how to use a statistical software.

Please note the following:
1. The use of AI-generated content without explicit permission and attribution is a form of academic misconduct. Plagiarism risk is high when using AI, and it is not acceptable to submit AI-generated content as it is. If you copy and paste entire AI-generated answers, it will be considered plagiarism. Even AI co-created work is considered collusion if you present it all as your own.

2. You are therefore required to explicitly state whether AI was used in the assignment and how.

3. You should also check all information provided by AI for accuracy. Be sure that you can verify all generated text, again, do NOT simply copy/paste the AI-generated information into your assignments.

4. If academic misconduct is suspected, you may be asked to discuss or explain (verbally and without prior notice) components of your assignment to determine the authenticity of the work.

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment
• Online automated feedback

How will my Feedback be Delivered?

Group feedback will be delivered in class after the mid-term assessment.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.