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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Mathematical Microeconomics 1 (ECNM11073)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits30 ECTS Credits15
SummaryThis course introduces the tools of microeconomic analysis, with a special emphasis on writing mathematical proofs. These tools are widely used in modern micro-founded macroeconomics, industrial economics, public economics, labour economics, environmental economics, international economics and finance.
Course description This course introduces the tools of microeconomic analysis, with a special emphasis on writing mathematical proofs. These tools are widely used in modern micro-founded macroeconomics, industrial economics, public economics, labour economics, environmental economics, international economics and finance.

The exact sequence of topics varies from year to year. In recent years, the main topics of the course were general equilibrium theory, decision theory, game theory and metric spaces.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2019/20, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 300 ( Lecture Hours 65, Seminar/Tutorial Hours 33, Summative Assessment Hours 12, Programme Level Learning and Teaching Hours 6, Directed Learning and Independent Learning Hours 184 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) Model formulation and analysis is examined separately from mathematical maturity in separate exams. Both topics are assessed in December and May. The weights are:
* Model formulation and analysis: 66% (25% December + 75% May)
* Mathematical maturity: 33% (maximum of December and May scores)
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)3:00
Main Exam Diet S2 (April/May)3:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Model formulation: transforming a research question into a mathematical model suitable for analysis.
  2. Analysis: applying the tools to economic models to obtain model predictions.
  3. Mathematical maturity: writing coherent and logically sound proofs, fluency with mathematical notation, formulating appropriate (counter)-examples to evaluate conjectures.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Andrew Clausen
Tel: (0131 6)51 5131
Email: Andrew.Clausen@ed.ac.uk
Course secretaryMiss Sophie Bryan
Tel: (0131 6)50 9905
Email: Sophie.Bryan@ed.ac.uk
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