Data Science for Urban Mobility - Courses - Institute of Computer Science

ET

Lectures Online (weeks 28-36)

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

Lectures

Week 1 - Introduction: Data Science and Big data in Urban Mobility [Live Stream]
Week 2 - Databases, Data Preparation and Preprocessing [Recording]
- Slides
- Video

Extra Material:
- To access the paper you need to be within the University Network (use vpn)
- Reading: Map-Matching Techniques
- Reading: exploratory data analysis
- Notebook: exploratory data analysis

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

Week 3 - Spatial Data [Recording]
- Slides
- Video
Week 4 - Bayesian Inference [Recording]
- Slides
- Video

Extra Material:
- Reading: EXPLAINING THE BAYES’ THEOREM GRAPHICALLY
- Reading: Interactive illustration of Bayesian Inference

Week 5 - Machine Learning [Recording]
- Slides
- Video

Extra Material:
- Reading: Neural Network Zoo
- Reading: CNN

Week 6 - Spatial Data Analysis [Recording]
- Slides
- Video

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

Week 7 - Data Visualization [Live Stream]
- Slides
- Video

Extra Material:
- Reading: Data Storytelling

Week 8 - Professional issues and ethics

Reading Material:
- Reading: Data Scientists and Ethics
- Reading: A Guide for Ethical Data Science