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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.
- Perform mathematical tools to analyse microeconomic and macroeconomic models.
- Solve and analyse economic optimization problems.
Course Disposition
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Literature and preparations
Specific prerequisites
Completed course SF1627 Mathematics for Economists, and have been registered in course AI1175 Basic Statistics for Economists
Recommended prerequisites
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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.
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 hp, betygsskala: P, F
- TEN1 - Written Exam, 3,0 hp, betygsskala: 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
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Opportunity to raise an approved grade via renewed examination
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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 web
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.
Course web AI1178Offered by
Main field of study
Technology
Education cycle
First cycle
Add-on studies
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