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Economics 1 (Combined Studies) (MATH0002)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Mathematics
Credit value
30
Restrictions
This module is normally only taken by (i) first year students on a combined honours Mathematics with Economics degree (ii) first year students on certain Statistics combined degrees.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Economics is the science of allocating scarce resources among competing social wants. Microeconomics describes how individuals and firms make informed trade offs between scarce alternatives in order to improve their well being. Macroeconomics, on the other hand, is the study of the economy as a whole in an attempt to explain aggregate trends. This introductory course is designed to give the student enough rigorous mathematical comprehension of both microeconomic and macroeconomic analysis to provide an adequate foundation for the second-year course, STAT0001. By the end of the first term, the student should understand the main ideas of microeconomic theory and be able to apply them to analyse real-world policy issues. In the second term, macroeconomic issues, such as the impact of monetary and fiscal policies in both open and closed economies, are examined. While a mathematical approach is encouraged throughout, the main concepts are also illustrated graphically. Furthermore, emphasis is placed on the intuition behind the concepts to enable more profound understanding. Nevertheless, students in this course require some fluency in both algebra and calculus.

Module deliveries for 2024/25 academic year

Intended teaching term: Terms 1 and 2 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In Person
Methods of assessment
70% Exam
30% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
173
Module leader
Dr Gunnar Peng
Who to contact for more information
math.ugteaching@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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