ECON20180 Intermediate Microeconomics II

Academic Year 2023/2024

This is the second module in a two-semester study of intermediate microeconomics. It focuses on production and covers the following topics:
-Firms and Production
-Competitive Firms and Markets
-Applying the Competitive Model
-General Equilibrium and Economic Welfare
-Pricing and Advertising
-Oligopoly and Monopolistic Competition

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Curricular information is subject to change

Learning Outcomes:

The aim of this course is to give students the conceptual basis and the necessary tools for understanding modern microeconomics and how it may be used by individuals, firms and policy makers to analyse and resolve problems. It will also provide a valuable foundation for choosing and understanding advanced optional modules offered by the School of Economics.

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning








Approaches to Teaching and Learning:
The module is mostly taught around a problem based learning approach.
Students will be given regular exercises. 
Requirements, Exclusions and Recommendations
Learning Recommendations:

Intermediate Microeconomics I (ECON20010)
Principles of Microeconomics (ECON 10010)
Introduction to quantitative economics (ECON 10030) - or equivalent e.g Maths for Business (MATH 10030) or Introduction to Analysis (MATH 10130)

Module Requisites and Incompatibles
ECON10720 - Microeconomics for Business, ECON30110 - Microeconomics II, ECON42460 - Microeconomic Theory 2

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Examination: Final Exam 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No


Continuous Assessment: Online tests Varies over the Trimester n/a Alternative linear conversion grade scale 40% No



Carry forward of passed components
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Online automated feedback

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Name Role
Dr Marta Talevi Lecturer / Co-Lecturer
Tatiana Bezdenezhnykh Tutor
Yung-Shiang Yang Tutor