Computational Research Skills: Schedule
You must install the software needed for the lessons by 26 October 2020. Instructions can be found on the software prerequisites page. We will provide helpers online all day on 26th October to help with any installation problems (further details about this day are also provided on the software prerequisites page.
The course will run each Thursday morning for 8 weeks, with the first lesson on 29 October and the final one on 17 December. The course training materials (which you can revisit and follow at your leisure) are linked to from the topics below. The schedule for the course is as follows:
Working Groups
Although you will be working through the materials on your own, in this lesson we've split you into working groups - each consisting of four people. The groups give you the opportunity to discuss the lesson, and any problems, with a small group of people from the course.
Before you start working through the materials, connect to your group (see links below) and say hello. Keep the channel open during the lesson and talk to your group (either via video or through text) as you work through the materials. Let your group know if you have any problems or any other thoughts on the lesson.
Helpers will drop into the groups throughout the lesson to answer questions.
- Group 1: Fiyin Adenekan, Johanna Fish, Laura Freeman and Isabella Garcia.
- Group 2: Steven Houghton, Letitia McMullan, Klaudia Piotrowska and Paige Policelli.
- Group 3: Anne Romero, Victoria Seeney, Matthew Spriggs and Abigail Talbot.
- Group 4: Charlotte Bilsby, Irene Bazaga Martinez, Roman Urban and Chloe Uyl.
- Group 5: Victoria Cheung, Brandon Coke, David Fisher and Hope Haime.
- Group 6: Johanna Haszczyn, Liam Jones, Sam Jones and Amy Lovegrove.
- Group 7: Stefan Penman, Kseniia Pidlisna, Fardina Rahimi and Robert Ulrich.
Lesson Schedule
Week 1: Monday 26 October - Installation Day
| 09:00 - 17:00 | Help day for installation of software |
Week 1: Thursday 29 October - Data Organisation and Management: Spreadsheets
| 09:30 - 09:45 | Lesson introductory video (accessible from 28th October) |
| 09:45 - 11:45 | Self-learning following teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |
Week 2: Thursday 5 November - Data Cleaning: OpenRefine
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:35 - 09:50 | Lesson introductory video (accessible from 4th November) |
| 09:45 - 11:45 | Self-learning following teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |
Week 3: Thursday 12 November - Automating tasks with the Bash Shell: Part 1
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:30 - 09:45 | Lesson introductory video |
| 09:45 - 11:45 | Self-learning following teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |
Week 4: Thursday 19 November - Automating tasks with the Unix Shell: Part 2
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:30 - 09:45 | No video this week: see the week 3 video for an introduction to the concepts |
| 09:45 - 11:45 | Pick up where you left off last week with the teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |
Week 5: Thursday 26 November - Introductory Talks on Version Control & Cloud Computing
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:30 - 10:15 | Introduction to Cloud Computing, followed by Q&A |
| 09:30 - 10:15 | Introduction to Version Control Using Git, followed by Q&A |
Week 6: Thursday 3 December - Data Analysis and Visualisation in R: 'Starting with Data'
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:30 - 09:45 | Lesson introductory video |
| 09:45 - 11:45 | Self-learning following teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |
Week 7: Thursday 10 December - Data Analysis and Visualisation in R: 'Manipulating Data'
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:30 - 09:45 | Lesson introductory video |
| 09:45 - 11:45 | Self-learning following teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |
Week 8: Thursday 17 December - Data Analysis and Visualisation in R: 'Visualising Data'
| 09:30 - 09:35 | Live introduction to today's lesson |
| 09:30 - 09:45 | Lesson introductory video |
| 09:45 - 11:45 | Self-learning following teaching materials |
| 11:45 - 12:15 | Open seminar to discuss the lesson. See above to check which group you are in and get the appropriate link. |