Linnaliikluse andmeteadus - Kursused - Arvutiteaduse instituut

EN

Lectures (weeks 27-35)

Note: ' The recording and slides will appear during the day of the lecture, latest the next day.'
For accessing Live Stream, the link will be shared through Teams.

Lectures

Week 1 - Introduction: Data Science and Big data in Urban Mobility
Week 2 - Databases, Data Preparation and Preprocessing
- Slides Δ

Extra Material:
- To access the paper, you need to be within the University Network (use VPN)
- Reading: Map-Matching Techniques Δ

Source: https://existentialcomics.com/philosopher/Judith_Butler

Week 3 - Spatial Data and Analysis
- Slides Δ
Week 4 - Machine Learning Part 1
- Slides Δ

Extra Material:

Week 5 - Machine Learning Part 2
- Slides Δ

Extra Material:

Week 6 - Machine Learning Part 3
- Slides Δ

Please, also check the readings section for extra material about python foundation and spatial analysis.

Week 7 - Data Visualization
- Slides Δ

Extra Material:

Week 8 - Professional issues and ethics [Reading]

Reading Material:

Week 9 - Exam Week

Two options May 13th at 12h00 or May 15th at 14h00.