Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version undefined
Content and learning outcomes
Course contents
Transportation and geoinformation data needs
Sampling and sample statistics.
Descriptive statistics and outliers
Hypothesis testing and confidence Intervals
Linear regression and applications (in transport and traffic)
Maximum estimation likelihood method and applications
Other data analysis and model building methods
The content of the course is presented and trained in tutorials. Applications are in traffic studies, transport planning, safety studies and spatial analysis. Further training in field surveys and data analysis, model building and interpretation is carried out in the form of comprehensive project work.
The project covers all the major steps that have to be undertaken including report preparation, discussion of the results. The students will also present their results for discussion.
Intended learning outcomes
Identify appropriate methods for transportation, traffic and spatial data collection.
Understand transportation and geoinformation data needs
Understand the role sampling the data collection
Use descriptive statistics for the analysis and preparation of data
Perform outlier analysis
Perform statistical inference for hypothesis testing and interval estimations
Specify and estimate linear regression models and discrete choice models
Apply methods and interpret results using statistical software
Design and perform stated-preference study
Discuss and compare linear regression models and discrete choice models and their attributes
Detailed plan
Published in Canvas course page.
Preparations before course start
Literature
No information inserted
Software
Python
Support for students with disabilities
No information inserted
Examination and completion
Grading scale
A, B, C, D, E, FX, F
Examination
TENA - Written Examination, 4.0 credits, grading scale: A, B, C, D, E, FX, F
PROA - Project assignment, 3.5 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.
If the course is discontinued, students may request to be examined during the following two academic years.
The section below is not retrieved from the course syllabus:
TENA - Written Examination, 4.0 credits
Exam in computer rooms with Safe Exam Browser (SEB).
PROA - Project assignment, 3.5 credits
Divided into 3 assignments with grading scale P/F.
Other requirements for final grade
A mandatory written examination equivalent to 4.0 cr with grading scale A-F and a mandatory project assignment equivalent to 3.5 cr with grading scale P/F. The course will have grading scale A-F, where the course grade will be determined by the grade on the written examination and the project work.
Opportunity to complete the requirements via supplementary examination
Exam:
Fx grade holders have the opportunity to submit an extra assignment to Pass (grade E) or take re-exam to obtain higher grades but not both.
Lab assignments:
If a student fails the lab assignments they will receive a deadline to re-submit before the re-exam.
Opportunity to raise an approved grade via renewed examination
There is no opportunity to raise an approved grade via renewed examination.
Reporting of exam results
Within 21 working days after the exam through Canvas course page.
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.
The section below is not retrieved from the course syllabus:
Students can work in groups and seek peer support for coding. However the lab assignment reports should be completed individually. Plagiarism is strictly prohibited. If AI is used in any part of the assignments that should de disclosed clearly and honestly. Failure to do so can result in a F grade.
