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ECON50570

Academic Year 2024/2025

PhD Microeconomics 1 (ECON50570)

Subject:
Economics
College:
Social Sciences & Law
School:
Economics
Level:
5 (Doctoral)
Credits:
10
Module Coordinator:
Professor Ronald Davies
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This course is an initial foray into graduate level microeconomic theory. We will begin with consumer theory before moving into production theory, theory of the firm, and choice under uncertainty. Time permitting, the course will finish with an introduction to general equilibrium. The course will use in-depth mathematical analysis with an eye towards the applied microeconomic practitioner. This means that there is an emphasis on technique and modelling. Note that students are expected to have a strong grasp of calculus and have a background in microeconomics.

About this Module

Learning Outcomes:

On completion of this module, students should be able to:
- Understand both the primary and duals of optimisation as applied to consumers and firms;
- Apply standard optimisation techniques;
- Be able to construct simply mode
- Derive equilibria and their comparative statics

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

200

Lectures

36

Total

236


Approaches to Teaching and Learning:
This is a lecture, but flat out, you will learn more by working through the homework assignments and practice problems with your fellow students than in lecture. I'm there to help you when you get stuck, but unless you work through it yourself, you won't be anywhere near where you need to be for the exams or to progress in the program.

The use of AI is not permitted in this module. Plagiarism risk is high when using AI, and it is not acceptable to submit AI-generated content as it is. If you use AI to generate answers in online MCQs, this is considered academic misconduct. 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. Note, AI-generated lists of publications and other sources are predictions only; they may not truly exist, therefore you should check all sources of information provided for accuracy. Please note that if academic misconduct is suspected, you may be asked to discuss or explain components of your assignment to determine the authenticity of the work”. Please refer to the UCD Student Academic Misconduct Procedure.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Homeworks due every week. As these are covered in lecture the day they are due, no late assignments will accepted. Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Alternative linear conversion grade scale 40% No
15
No
Exam (In-person): Midterm. Week 7 Alternative linear conversion grade scale 40% No
35
No
Exam (In-person): Final. Week 14 Alternative linear conversion grade scale 40% No
50
No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

It is expected that you see me following exams to go over your particular case. This matters even for the final because of the core exam that must be passed to continue in the programme. Homeworks and exams will also be covered in a group setting.

Name Role
Mr Simone Arrigoni Tutor
Biniyam Gezahegn Worku Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Tues 13:00 - 15:50