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Overview

This year we are 'flipping' the classroom. That means that we expect you to come to 'lecture' (except in Week 1!) having already watched the assigned videos and completed the assigned readings. This means that there is a mix of 'asynchronous' (work that you do in your own time) and 'synchronous' (work that we do during scheduled hours) interaction. For those unable to attend a 'synchronous' activity because of Time Zone issues we intend to make a recording available afterwards, but we expect that a 2-hour recording of a group discussion and live coding session will be rather less educational and informative than actually being there so recordings should not be used as a substitute for attendance.

Preparation

The nature and amount of preparation will vary from week to week, but may include:

  • Readings from both academic and non-academic sources.
  • Recorded lectures from CASA staff.
  • Recorded videos from non-CASA staff.
  • short Moodle quizzes to test your completion of readings and videos.
  • Contributions to a weekly 'Padlet' that will be used to guide the 'synchronous' sessions.

'Lecture'

The 'lecture' in your timetable will be used for a mix of discussion and 'live coding' (eeek!) using the following framework:

  • We will review questions and issues arising from the previous week's practical session.
  • We will use your contributions to the week's Padlet to prioritise discussion around concepts and readings with which students are struggling or wish to engage further.
  • We will have a 'live coding' session following an 'I do/We do' format: we will employ concepts covered in the week's preparation activities, as well as approaches that will be explored further in the practical, to look a real-world data set together using code.

So we're going to call these workshops instead! These will take place on Zoom and can be accessed using the 'activity' specified on the Lectures and Workshop Material page.

Practical

There are two timetabled practical sessions; we will inform you of your assigned session. These will also take place on Zoom and can also be accessed using the 'activity' specified on the Lectures and Workshop Material page of Moodle.

Week 1: Setting Up

This week is focussed on getting you set up for the rest of the course in terms of having the requisite software installed and accounts configured so that you can keep track of your work, write code, and track changes.

Preparation

Although none of these activities are compulsory in advance of the first session, getting your computer set up to code does take time and most of these preparatory activites are fairly straightforward... with a few exceptions noted below. If you are able to get these tools installed in advance then you can focus on the taught content in the first two practicals rather than also wrestling with an installation. This will also give us more time to help you if you discover that you're one of the unlucky people for whom installation is a lot more work!

Computer Health Check-up

Please ensure that your computer is fully up-to-date with Operating System and application updates. Also, please make a note of the following three things:

This information will be very useful during the first few weeks when you are most likely to encounter problems with the programming environment. Generally speaking, the things to watch out for are:

  1. Your operating system is Windows 10 Home, or something older than Windows 10 (e.g. Windows 8 or ealier), or MacOS older than 10.13 (High Sierra).
  2. Your computer has less than 8GB of RAM.
  3. Your computer has less than 15GB of free disk space remaining.

Installing Command Line Tools

If you want to get a little bit ahead of things, then you should try to install one of:

Installing the Programming Environment

If you want to get even more ahead of things, then the single most important thing you can do is to install the programming environment. This is the stage where you're most likely to encounter problems that will need our assistance, so knowing that you need our help here means that you ask for it much sooner!

So we have created installation videos with transcripts for Macs as well as Windows. There are also written instructions that you can follow for installing Vagrant, if you prefer.

Windows Issues

If you are on a Windows machine and receive this error:

VBoxManage.exe: error: Not in a hypervisor partition (HVP=0) (VERR_NEM_NOT_AVAILABLE). VBoxManage.exe: error: VT-x is disabled in the BIOS for all CPU modes (VERR_VMX_MSR_ALL_VMX_DISABLED) VBoxManage.exe: error: Details: code E_FAIL (0x80004005), component ConsoleWrap, interface IConsole

Then you have two options:

  1. Talk to use about how to enable Hypervisor in the BIOS for computer.
  2. Switch to installing Anaconda Python directly.

We'd recommend #1 first as it will be useful to have 'virtualisation' enabled on your computer anyway, but we have #2 has a backup if that's just not possible for some reason!

Workshop

Practical

If you have already installed the programming environment then the practical can be downloaded from GitHub (Click on Raw and then Save File As...) and viewed by saving it to your Documents/CASA/... folder, or you can just view it online in your web browser.

Week 2: Foundations (Part 1)

Preparation

Installing Command Line Tools

If you didn't get to this during the practical then please do it before we get to Week 2's practical! You need to install one of:

Installing the Programming Environment

See the previous week's instructions. It is vital that you try to get this installed before this week's practical. If you encounter difficulties we will need time to help you, so the sooner you know that you need help, the faster we can help you.

Code Camp

If you have not completed Code Camp, then we would strongly recommend that you tackle Notebooks 3–5 as preparation for the week's class.

Optional: Git & GitHub

If you would like to have more time to focus on coding, please try to get your local computer and GitHub synchronising your Introduction to Programming (suggested name: i2p) project. Click on the still below to access the video on Streams.

Screen Grab from Git and GitHub

There are written instructions in the Week's practical.

Lectures

As we're working in a 'flipped' environment, you should watch these videos before class so that the 'live' (a.k.a. 'synchronous') session can focus on demonstration, discussion, and clarification. This week is very busy because we need to cover off the basics for those of you who were unable to engage with Code Camp, while recapping only the crucial bits for those of you who were able to do so:

Readings

  • [@Burton:1963] DOI
  • [@ArribasBel:2018] DOI

Contribution

Quiz!

Workshop

Practical

This week's practical requires you to have completed installation of the programming environment. The practical can be downloaded from GitHub.

Week 3: Foundations (Part 2)

Preparation

Code Camp

All students should complete/revisit Code Camp Notebooks 8–11.

Note: there is an issue with the GeoJSON tasks in Notebooks 8 and 9. We can discuss in the Workshop.

Lectures

This week we start to move beyond Code Camp. So although you should recognise many of the parts that we discuss, you'll see that we start to put them together in a new way:

Readings

  • [@Etherington:2016] DOI
  • [@Donoho:2017] DOI
  • [@Unwin:1980] DOI

Contribution

Quiz!

Workshop

Practical

The practical can then be downloaded from GitHub.

Week 4: Object-Oriented Programming

Preparation

Lectures

Readings

Contribution

Quiz!

Workshop

  • Reviewing the Collaborative Agenda (Recording)
  • Discussion of Readings (see Above)
  • Live Coding (Part 2; Part 3)

Practical

The practical can be downloaded from GitHub.

Week 5: Numeric Data

Preparation

Lectures

Readings

  • [@dignazio:2020, chap. 4] What Gets Counted Counts in Data Feminism; Pre-review URL
  • [@Wachsmuth:2018] DOI
  • [@Harris:2018] URL

Contribution

Workshop

Practical

The practical can be downloaded from GitHub.

Reading Week

You should be doing the readings that will support your answers to Assessment #2. And, looking ahead to the Final Assessment and where you might find ideas or literature to support your thinking, I'd suggest having a browse of the Full Bibliography. This is a working document and I will add more items as and when I come across them or new works are published!

Readings

In addition to looking for relevant content in [@dignazio:2020] (URL), you will also want to check consider:

  • [@Elwood:2017] DOI
  • [@Elwood:2018] DOI
  • [@Bemt:2018] DOI
  • [@Amoore:2019] DOI
  • [@Crawford:2015] DOI

Week 6: Spatial Data

Preparation

Lectures

Readings

  • [@dignazio:2020, chap. 6] The Numbers Don't Speak for Themselves in Data Feminism; Pre-review URL
  • [@Elwood:2017] DOI

Contribution

Quiz!

Workshop

Practical

The practical can be downloaded from GitHub.

Week 7: Textual Data

Preparation

Lectures

Readings

Contribution

Quiz!

Workshop

  • Reviewing the Collaborative Agenda (Recording)
  • Discussion of Readings (see above)
  • Live Coding (Recording)

Practical

The practical can then be downloaded from GitHub.

Week 8: Visualising Data

Preparation

Lectures

Readings

  • [@dignazio:2020, chap. 3] On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints in Data Feminism; Pre-review URL
  • [@badger:2019]) Neighborhood Is Mostly Black. The Home Buyers Are Mostly White. URL

Contribution

Quiz!

Workshop

Practical

The practical can then be downloaded from GitHub.

Week 9: Dimensions in Data

Preparation

Lectures

Readings

  • [@Bunday:0000] A Final Tale or You Can Prove Anything with Figures URL
  • [@Harris:2019] The Certain Uncertainty of University Rankings URL
  • [@Cima:2014] The Most and Least Diverse Cities in America, Priceonomics URL (PDF with Figures)
  • [@lu:2013] Are statisticians cold-blooded bosses? a new perspective on the ‘old’ concept of statistical population DOI

Contribution

Quiz!

Workshop

  • Reviewing the Collaborative Agenda (Recording)
  • Discussion of Readings (See above)
  • Live Coding (Recording)

Practical

The practical can then be downloaded from GitHub.

Week 10: Grouping Data

Preparation

Lectures

Readings

  • Shapiro, W. and Yavuz, M. (2017) Rethinking 'distance' in New York City Medium URL
  • Wolf, L. et al. (2020) Quantitative geography III: Future challenges and challenging futures, Progress in Human Geography DOI
  • Arribas-Bel, D. and Singleton, A. (2019) Geographic Data Science, Geographical Analysis DOI

Contribution

Quiz!

  • Complete the short Moodle quiz associated with this week's activities.

Workshop

  • Reviewing the Collaborative Agenda (Recording)
  • Discussion of Readings and Reflections (Recording)

Practical

The practical can then be downloaded from GitHub.

Bibliography

::: {#refs} :::