🗓️ Week 01 - Introduction, Context & Key Concepts

2024/25 Autumn Term

In this first week, we will cover what you can expect to learn from this course and the course logistics: all you need to know about the structure of the lectures, classes, assessments, and how we will interact throughout this course.

We will also cover some of the basics: what do we mean by data science, and what tools will you need to use during this course?

👩🏻‍🏫 Lecture Slides

Either click on the slide area below or click here to view it in fullscreen. Use your keypad to navigate the slides.

🎥 Looking for lecture recordings? You can only find those on Moodle.

✍️ Coursework

This week, you have two tasks to prepare for the week’s class:

1. Within your (randomly) assigned group (to be announced on Moodle/during the lecture), read the articles from the indicative reading list

2. Respond to the following questions about the readings:

   1. What is personal data?
   2. What is the “quantified self”?
   3. What is the main purpose/goal of the “quantified self”?
   4. What do you think about this notion of “quantified self”?
   5. What are the challenges/issues related to this notion?

Be prepared to share your answers with the rest of the class.

📚 Recommended Reading

• Check the end of slides for the list of references cited in the lecture.
• Check the 📔 Syllabus for this week’s complete list of indicative and recommended readings.

📟 Communication

• Post your reflections, questions, and links on Slack (depending on your purpose, use either of the #social or #help channels - you might also want to use the #interesting-articles channel).