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AI1120 Introductory Economics and Quantitative Methods 1.5 credits

A. Financial Mathematics

  • Exponents, exponential functions, and logarithms
  • Linear and quadratic equations
  • Arithmetic and geometric progressions

B. Introduction to Excel      

C. Statistics

  • Descriptive statistics – frequency distribution, measures of central tendency and dispersion
  • Probability concepts
    • Probability distributions, expected value, variance, and covariance
    • The normal distribution
    • Confidence intervals and hypothesis testing
  • Regression analysis
    • Statistical inference using regression analysis
    • Forecasting

 D. Economics

  • Demand, Supply, Equilibrium prices and Elasticity
  • Short-run and long run production theory
  • Short and long-run costs
  • Perfect Competition & Monopoly
Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus AI1120 (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  1. Financial Mathematics
  • Exponents, exponential functions, and logarithms
  • Linear and quadratic equations
  • Arithmetic and geometric progressions

       B. Introduction to Excel       C. Statistics

  • Descriptive statistics – frequency distribution, measures of central tendency and dispersion
  • Probability concepts
    • Probability distributions, expected value, variance, and covariance
    • The normal distribution
    • Confidence intervals and hypothesis testing
  • Regression analysis
    • Statistical inference using regression analysis
    • Forecasting

        D. Economics

  • Demand, Supply, Equilibrium prices and Elasticity
  • Short-run and long run production theory
  • Short and long-run costs

Perfect Competition & Monopoly

Intended learning outcomes

After this course students will be able to:

  • Perform calculations in basic financial mathematics and model these in EXCEL
  • Perform computations involving statistical inference and regression analysis
  • Perform regressions in EXCEL
  • Explain and analyse basic microeconomic issues involving
    • Demand and supply
    • Production and costs

Market structure

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

Extracts from:Brown, G.R., & Matysiak, G.A. (2000). Real Estate Investment – A Capital Market Approach. Financial Times/Prentice-Hall.McEachern, W.A. (2003). Economics, a contemporary introduction. The Wall Street Journal edition. Thomson/ Southwestern.Other resources will be provided in class.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • NÄR1 - Attendance, 1.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted

Supplementary information

This course will be repleaced with Investment Mathematics and Basic Economics, AI2143