RESEARCH METHODS 1 - 2022/3

Module Overview

The module provides the fundamental mathematical tools used by economists.
It will provide the key elements of real analysis and differential calculus. The focus will then be on static optimisation techniques for comparative static analysis and on dynamic optimisation technique for solving dynamic problems.

Module provider

Economics

Module Leader

SHAKHNOV Kirill (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Module Availability

Semester 1

Prerequisites / Co-requisites

N/A

Module content

Indicative content includes:

• Analysis in metric space


• Differential calculus


• Comparative statics


• Static optimisation


• Dynamical systems and dynamic optimisation

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate

analytical skills and the ability to reason logically.

 

Thus, the summative assessment for this module consists of:

An in-semester class test 

A final examination

 

Formative assessment

Class participation and discussion of tutorial problem sets.

 

Feedback

Students will receive verbal feedback during lectures and tutorials, as well as written feedback on their performance in the in-semester class test.

Module aims

• The aim is to provide a self-contained, rigorous treatment of the mathematical foundations required to follow the sequence in microeconomics and macroeconomics within the MRes Economics programme, and as a foundation for further study towards a PhD in Economics.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

Provide the necessary tools for solving microeconomics and macroeconomics problems.

 

The learning and teaching methods include:

Interactive weekly small group lectures and workshops designed to expose students to the content and to give the opportunity for students to discuss and apply the methods taught in dedicated problem sets. 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ECOM063

Other information

None.

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.