Institute of Computer Science
  1. Courses
  2. 2023/24 spring
  3. Data Science for Urban Mobility (LTAT.06.014)
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Data Science for Urban Mobility 2023/24 spring

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  • Lectures
  • Excercises & Assignments
  • Readings & Links
  • Evaluation

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
    • Slides
    • Python Notebooks
    • Dataset
    • Rec
  • Week 2 - Databases, Data Preparation and Preprocessing
    • Slides
    • Rec
  • 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 and Analysis
    • Slides
    • Rec
  • Week 4 - Machine Learning Part 1
    • Slides
    • Rec
  • Extra Material:
    • Reading: EXPLAINING THE BAYES’ THEOREM GRAPHICALLY
    • Reading: Interactive illustration of Bayesian Inference
    • Reading: Neural Network Zoo
  • Week 5 - Machine Learning Part 2
    • Slides
    • Rec
  • Extra Material:
    • Reading: Regression
    • Reading: Check Chapter 2
    • Reading: CNN
  • Week 6 - Machine Learning Part 3
    • Slides
    • Rec

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

  • Week 7 - Data Visualization
    • Slides
    • Rec
  • 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
  • Two options May 13th at 12h00 or May 15th at 14h00.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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