Skip to main content
Till KTH:s startsida

AI1176 Applied Mathematics and Statistics for Economists 7.5 credits

Administer About course

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus AI1176 (Spring 2016–)
Headings with content from the Course syllabus AI1176 (Spring 2016–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Linear algebra with a focus on vectors, matrices and determinants
  • Theoretical and empirical economic models
  • Linear microeconomic and macroeconomic models
  • Theoretical and empirical economic models
  • Simple and multiple linear regression analysis with cross-sectional data
  • Basic statistical analysis of time series data

Intended learning outcomes

After the course, students should have knowledge of mathematical and statistical concepts and statistical methods that economists in different industries apply. The course focuses on linear statistical and economic models. After completing the course students will be able to:

  1. Use linear algebra for analysis of linear micro- and macroeconomic models.
  2. Formulate linear regression models for business and economic applications.
  3. Estimation of linear regression models and perform hypothesis tests with statistical software.
  4. Critically interpret, analyze and present results based on linear regression analysis.

Literature and preparations

Specific prerequisites

SF1627 Mathematics for Economists 9.0 credits, or matching courses

AI1128 Economics of the Built Environment 7.5 credits or matching courses

AI1175 Basic statistics for economists 7,5 credits or matching courses

Literature

Textbook with a focus on statistical methods for economists, with Computer (Excel)

Lecture notes and training materials, as well as online course material

Sydsæter & Hammond: Essential mathematics for economic analysis, Pearson

- Course Literature may change

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • INL1 - Assignment, 3.5 credits, grading scale: P, F
  • TEN1 - Written Exam, 4.0 credits, grading scale: A, B, C, D, E, FX, 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.

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

Examiner

No information inserted

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

ABE/Real Estate Business and Financial Systems

Main field of study

Technology

Education cycle

First cycle