RESEARCH METHODS 1 - 2020/1
Module code: ECOM063
In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.
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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
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|
|School-timetabled exam/test||Class test - 1 hour||30|
|Examination||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
Overall student workload
Independent Study Hours: 117
Lecture Hours: 22
Tutorial Hours: 11
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.
Reading list for RESEARCH METHODS 1 : http://aspire.surrey.ac.uk/modules/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 2020/1 academic year.