Linnaliikluse andmeteadus - Kursused - Arvutiteaduse instituut

EN

Tähelepanu! Tehnilise tõrke tõttu on hetkel kättesaadavad vaid 2020.a. ja hilisemad üles laetud failid ja kevadsemestri kursused. Rikke kõrvaldamisega tegeletakse.

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
- 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
- Slides
- Video
Week 4 - Bayesian Inference
- Slides
- Video

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

Week 5 - Introduction to Machine Learning, Deep Learning, and Green Learning Paradigm.
- Slides
- Video

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

Week 6 - Spatial Data Analysis
- Slides
- Video

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

Week 7 - Data Visualization
- Slides
- Video

Extra Material:
- Reading: Data Storytelling

Week 8 - Professional issues and ethics [Reading]

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

Week 9 - Exam Week

The exam will be on the 26th of April at 14h15.