DATA 202 (2024) - Assignments
Assignment submission in DATA202 and DATA472- All assignments must be written in Rmarkdown.
- All assignments must be submitted electronically using the DATA202 online submission system or the DATA472 online submission system.
- For each assignment you should prepare an Rmarkdown file named 'assignmentX.Rmd' where X is the assignment number. This is the only file you will need to upload.
- The YAML header of the Rmarkdown file should have the following structure:
title: "Assignment X"
author: "Your Name, 30XXXXXX"
date: "16 July 2024"
output: html_document
----=
- Make sure you put your name and Student ID number in the author: field.
- Submission procedure:
- Navigate to the correct assignment in the DATA202 online submission system or the DATA472 online submission system, or click the appropriate submission link in the table below. Make sure you submit to the right page: to the correct assignment number, and to the correct course (DATA202 or DATA472) or your assignment won't be visible to the markers. (Note: you can submit to either course without getting an error message.)
- Click "Add Files" and select your assignment submission file "assignmentX.Rmd" (X=assignment number).
- Only when the correct file is uploaded will you be able to click "Run Checks" - this is when your code is actually executed.
- Make sure you do click "Run Checks": if you don't there may be errors in your code you're not aware of.
- You may need to wait a few moments before the execution is complete.
- You will see two files appear: "[courseid]-assignmentX-submission-report.txt" (which may contain any error messages) and "[username]-assignmentX.html" (or for some assignments a .pdf will be created) which contains the Rmarkdown output.
- Check both of these to see if there are any errors. If there are, you can resubmit as many times as you like until the submission deadline.
- You cannot upload additional data files for your Rmd code to read: in assignments that need datafiles these files will be already available within the submission system. (Make sure that you don’t refer to data file locations that are specific to your own machine.)
- Assignment 0 is available to you at all times to test your code. You can submit to this assignment as many times as you want (or not at all) and you'll be able to test your code for errors. Here is an example assignment0.Rmd file for you to try out first. When you submit the file titanic.csv will be available in the submission system for you to work with.
- Your assignment will be marked online, and you'll get your mark and any feedback through the submission system: at top right of the assignment submission page you'll see a "Marks" link to see your assignment marks.
Student Honour Code
When submitting my work I confirm:- I have completed all steps of the attached assessment on my own,
- I have not used any unauthorised materials while completing this assessment, and
- I have not given anyone else access to my assessment.
Assignment | Value | Due date | Additional Materials | DATA202 | DATA472 | Set by |
---|---|---|---|---|---|---|
Assignment 0 | -- | No due date | assignment0.Rmd; titanic.csv | LM | ||
Assignment 1 Questions UPDATED | 10% | 6pm, Fri 22 Mar | Assignment 1 Solutions Common mistakes in Assignment 1 (star_dataset_deepu_kaggle.csv ) | LM | ||
Test 1 | 15% | 2pm Thu 28 Mar | Instructions and what you need to learn; Base R Cheat Sheet; Practice Test (Questions only); Common Mistakes | LM | ||
Postgrad Proposal | 0% | 6pm, Thu 18 Apr | DATA472 only; More information here | LM | ||
Assignment 2 Questions | 10% | 6pm, Fri 10 May | movies500.csv; genres.csv; movies500_genres.csv; motor_vehicle_modified.csv; average_weekly_earnings.csv | BN | ||
Test 2 | 10% | 11am, Fri 17 May | Instructions and what you need to learn; Cheat sheets for Test 2; Practice Test: see the exercises in Binh's last lecture (Week 9) | BN | ||
Assignment 3 Questions | 10% | 6pm, Fri 24 May | Assignment 3 Template.Rmd | RAd | ||
Test 3 | 5% | 11am, Fri 31 May | RAd | |||
DATA 202 Final Test | 40% | TBC | DATA 202 only, 120 min test | |||
Postgrad report | 40% | 6pm Tue 11 Jun | DATA 472 only | |||
Postgrad presentation | -- | 9am-12pm, Thu 13 Jun | DATA 472 only, Room CO431 | |||
Postgrad code | -- | 6pm Thu 13 Jun | DATA 472 only |