TBM4382

Analysis methods for road and transport

Last taught 2024

Autumn

Trondheim

English

Overview

4 candidates

Average grade

B

4.00

0.60

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this course

Content

Acquisition, registration, processing, analysis and interpretation of road and transport-related data.

Use of programming and statistical methods.

Learning outcomes

Knowledge

The student must have knowledge of:

  • Various sources of road and transport-related data
  • Methods for registering and collecting own data
  • Methods for processing and analyzing data
  • Regulations relating to the collection and handling of data

Skills

The student must be able to:

  • Retrieve data from existing sources
  • Carry out own data collection
  • Apply relevant analysis methods, and interpret and present analysis results
  • Program in Python or equivalent
  • Use statistical software such as SPSS or equivalent

General skills

The student can:

  • Assess the validity and reliability of data sources and analysis results
  • Present and explain analysis results in a clear and understandable way
  • Collect and process data in accordance with rules, requirements and ethical guidelines
  • Solve tasks both independently and as part of a team

Teaching methods

Lectures and project work