Economics Quantitatively Treated 2

Kingston University

Course Description

  • Course Name

    Economics Quantitatively Treated 2

  • Host University

    Kingston University

  • Location

    London, England

  • Area of Study

    Calculus, Economics, Statistics

  • Language Level

    Taught In English

  • Prerequisites

    Previous study of mathematical economics such as EC4004 (or equivalent).

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Course Content:

    This module will encourage you to understand the benefits of using a mathematical and
    statistical vocabulary and reasoning to analyse economic models.

    Topics covered include:
    ? Multivariate calculus
    ? Optimisation.
    ? Constrained Optimisation
    ? Exponential and log functions
    ? Introduction to basic rules of matrix algebra. Solving systems of
    linear equations.
    ? Integration
    ? Statistical Inference and properties of estimators
    ? Basic linear regression model
    ? Multiple Regression model
    ? Regression diagnostics:
    ? Model specification errors

    Teaching: Workshops

    ? An in-course portfolio of assignments: includes two class tests and a data
    handling exercise
    ? Final Exam
    ? Alternative assessment

    Study Option 1 = Whole Year
    Study Option 2 = Autumn
    Study Option 3 = Spring/summer

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.


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