DATA 201 (2020) - Home Page
30/3/2020: The assessment criteria and course information below has been updated to reflect the current situation.
22/3/2020: Assignment 2 is now available (under Assignments). Submit your completed Python notebook using the ECS assignments system.
For all students enrolling in DATA201 in 2020:
- The Python computer language is used in DATA201. If you have taken a course like COMP132 then you already have the required background.
- If you've never done a course in Python before, you should work through an online tutorial introduction to Python. There are many free courses available: for example there is this one at datacamp.com.
- General course information is available here.
- Lectures will be made available as a combination of written notes, videos, and Python notebooks as they are ready. Lecturers will have a 1 hour zoom session for discussions when the course restarts. Announcements will be made via Blackboard.
- There will be drop-in zoom sessions for lab advice when the course restarts.
- The terms test will be in week 7. It will be made available on Blackboard between 4pm Wednesday 20th May and 4pm Friday 22nd May. You will have one hour from whenever you download it to complete it and upload your solution. A mock test will be made available in advance.
| Two submitted or available fortnightly assignments (5% each)
| Three upcoming fortnightly assignments (20% each)
| Mid-term test (1 hour)
| One project (10 hours)
Students are required to achieve 50% of the overall marks.
- Assignments. Assignments will become available on the website about 10-14 days before they are due. They will be submitted and returned electronically through the ECS Assessment System.
: Assignment 1
: Assignment 2
- Paper Free This is a paperless course. All course materials will be placed on the website in advance of the lecture.
- Software This course will use Python 3 in Jupyter Notebooks. This is free software that should run on most computers (but not tablets or phones). The guide to running a notebook here is a good place to start with installing the software, which will also be available on Victoria computers.
To open one of the notebooks below, save it to your computer, and then run the Jupyter notebooks and open the relevant notebook from the Jupyter Notebooks page in your web browser.
The mid-term test will cover material from the first half of the course. You will not need to write any code, but will need to consider what a data scientist does, with respect to possible data problems.
A note on Assignments
The purpose of the lab session and the assignments is to help you learn. Attending labs and lectures, and working seriously on assignments, is strongly correlated with success in mathematics courses. Ignore this at your peril.
The class representative for this course is Elyse Smaill (email@example.com). The Facebook page is
University policies and statutes
It is worthwhile becoming familiar with the following information. Other relevant policies can be found at the academic policy website.