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Module

ECO2017 : Mathematical Economics

  • Offered for Year: 2019/20
  • Module Leader(s): Dr Francis Kiraly
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

The aim of the module is to present in detail and apply further mathematical tools and methods used in economic analysis.

Outline Of Syllabus

1.       Mathematical thinking in economics
2.       Relationships
3.       Optimisation
4.       Equilibrium
5.       Uncertainty
6.       Dynamics
7.       Friends and foes

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture11:001:00N/A
Guided Independent StudyAssessment preparation and completion125:0025:00N/A
Scheduled Learning And Teaching ActivitiesLecture72:0014:00N/A
Guided Independent StudyDirected research and reading125:0025:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching31:003:00N/A
Guided Independent StudyIndependent study132:0032:00N/A
Total100:00
Teaching Rationale And Relationship

Lectures provide the mathematical formalisation of a particular economic question or situation, together with the relevant analysis.

Seminars allow students to practice, develop and demonstrate their skills in using these analytical methods.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1201A100Unseen exam
Formative Assessments
Description Semester When Set Comment
Prob solv exercises1MProblem Solving (Written) Exercises handed in by students before Seminars, followed by group feedback in class.
Written exercise1MIndividual feedback on answers to past exam papers.
Assessment Rationale And Relationship

The exam tests understanding of mathematical concepts and methods used in economic models, as well as the capacity to use these analytical techniques in various applications.

Reading Lists

Timetable