- 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
AI1178 Applied Mathematics and Statistics for Economists 6.0 credits
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About course offering
For course offering
Spring 2025 Start 17 Mar 2025 programme students
Target group
No information insertedPart of programme
Bachelor's Programme in Property Development and Agency, åk 1, Mandatory
Bachelor's Programme in Real Estate and Finance, åk 1, Mandatory
Periods
P4 (6.0 hp)Duration
Pace of study
33%
Form of study
Normal Daytime
Language of instruction
Swedish
Course location
KTH Campus
Number of places
Places are not limited
Planned modular schedule
Course memo
Course memo is not publishedSchedule
Schedule is not publishedApplication
For course offering
Spring 2025 Start 17 Mar 2025 programme students
Application code
60496
Contact
For course offering
Spring 2025 Start 17 Mar 2025 programme students
Contact
Han-Suck Song (han-suck.song@abe.kth.se)
Examiner
No information insertedCourse coordinator
No information insertedTeachers
No information insertedContent and learning outcomes
Course contents
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
Equipment
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
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
Opportunity to raise an approved grade via renewed examination
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.