RESEARCH METHODS 1 - 2022/3
Module code: ECOM063
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
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.
SHAKHNOV Kirill (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Workshop Hours: 11
Independent Learning Hours: 106
Captured Content: 33
Prerequisites / Co-requisites
Indicative content includes:
- Analysis in metric space
- Differential calculus
- Comparative statics
- Static optimisation
- Dynamical systems and dynamic optimisation
|Assessment type||Unit of assessment||Weighting|
|Online Scheduled Summative Class Test||Class test - 1 hour||30|
|Examination Online||Examination - 2 hours||70|
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 typically in week 6-8 (1 hour)
A final examination (2 hours) at the end of Semester 1.
Class participation and discussion of tutorial problem sets.
Students will receive verbal feedback during lectures and tutorials, as well as written feedback on their performance in the in-semester class test.
- 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.
|001||Be familiar with advanced optimisation techniques routinely used in economics (C,K,T)||CKT|
|002||Be able to formalise an economic problem (C,T,P)||CPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
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 tutorials 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.
Upon accessing the reading list, please search for the module using the module code: ECOM063
Programmes this module appears in
|Economics MRes||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
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.