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AI1178 Applied Mathematics and Statistics for Economists 6.0 credits

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Application

For course offering

Spring 2025 Start 17 Mar 2025 programme students

Application code

60496

Headings with content from the Course syllabus AI1178 (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Simple and multiple linear regression analysis with cross-section data
  • Linear algebra with economic applications
  • Multivariable analysis applied on economic models
  • Basic statistical analysis of time-series data

Intended learning outcomes

After a passed course, the student should be able to:

  • Estimate linear regression models and carry out hypothesis tests by means of a computer
  • Interpret, analyse and present results based on linear regression analysis.
  • Apply mathematical tools to analyse microeconomic and macroeconomic models.
  • Solve and analyse economic optimization problems.

Literature and preparations

Specific prerequisites

Knowledge in mathematics (3,0 credits) corresponding to completed part TEN C (Exam 3,0 credits) in course SF1627 Mathematics for Economists 9,0 credits

and

Knowledge in statistics (3,5 credits) corresponding to completed part completed INL1 (INL1 - Assignment, 3.5 credits) in AI1175 Basic Statistics for Economists 7,5 credits.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

  • Newbold, P.; Carlson, W; Thorne, B.: Statistics for Business and Economics, last edition, Pearson Education: Harlow.
  • Lecture notes and training materials, as well as datasets from mainly web-based data sources.
  • Sydsaeter, K. , Hammond, P., Strom, A. & Carvajal A. -  Mathematics for Economics Analysis (Pearson)

Examination and completion

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

Grading scale

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

Examination

  • INL1 - Assignment, 3.0 credits, grading scale: P, F
  • TEN1 - Written Exam, 3.0 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.

Included in the course:

• Lectures
• Exercises in lecture halls and computer rooms
• Group assignments with compulsory exams (and possibly other software like MATLAB)

Re-examination for a higher grade: There is no possibility to retake already passed (A-E) exams.

Other requirements for final grade

Passed examinations: TEN1, INL1

Grade scale for entire course: A-F

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Han-Suck Song

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 Economics and Finance

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted

Contact

Han-Suck Song (han-suck.song@abe.kth.se)