๐Ÿ’ป Week 01 - Class Roadmap (90 min)

2023/24 Autumn Term

Author
Published

19 January 2024

Welcome to the first seminar/lab class of DS101A.

Before we start covering the most technical aspects of data science, we want to take a step back and think about the bigger picture. That is why on ๐Ÿง‘โ€๐Ÿซ Week 01 we asked you to do two things:

  1. Read the indicative reading about the idea of the Quantified Self.
  2. In groups of three, answer a series of questions about the indicative reading (see Week 1 coursework)

In this lab, we will discuss your notes on the indicative readings of week 1 and further expand the discussion of the notions of โ€œquantified selfโ€/personal self with the help of additional in-class readings.

Step 01 - Quantified self and its purpose (20 min)

    • How can you best define the notion of โ€œquantified selfโ€?
    • What is the goal of this concept?

Step 02 - Perception of Quantified Self (20 min)

    • What do you think about the notion of โ€œquantified selfโ€?

Break (10 min)

Step 03 - Quantified Self/Personal data: new perspectives (40 min)

    • What is the article about? What are the main ideas?
    • Do you find the article convincing and does it change your perception of the notion of โ€œquantified selfโ€? Why?

Also:

Note

Later in this course, we will create a shared reading notes repository. For now, keep using your favourite note-taking app and share your notes with your group.