People's interests vary, so do their degree paths.

McGill's website only shows what are prerequisites for a course but not where you can go after it. For those who are unsure about their future paths like me, possibilities matter. McGill Course Map comes to your aid.

It shows relationships between courses, so you can see all courses stemming from the one you are currently taking with information about term.

Path mode

shows all courses stemming from the one you search in the "Course Name" input box.

Course info panel provides the full name, credits, and terms offered of the one you clicked in the graph. You can go to the original page by clicking its name.

Filters filter out courses from certain subjects.

Layout changes the layout of nodes in the graph.

Examples:

Overview mode

It shows all courses from the subject you search. You can also see courses from other subjects that are relevant. For example, math 223 is a prerequisite for a lot of comp courses.

Mini-map shows which courses you can take JUST after the one you clicked. It's a breadth-first-search with depth limit 1. You can also go to the original page by clicking its name.

Author, link to the GitHub page, link to the GitHub issues page, and the detailed guide can be found in the navigation bar.

1. git clone https://github.com/Deerhound579/mcgill-course-map.git
2. Create a virtual environment with Python 3.7.3 or higher. I recommend following this Pyenv tutorial to manage your Python versions and set up the env.
3. pip install -r requirements.txt installs all dependencies
4. python app.py

If you want to run the spider, you need to install dev dependencies by

pip install -r dev-requirements.txt

In the project root directory, run scrapy crawl courses. All output data will be stored in course_data folder.

Copyright © Sixian Li.

McGill is a University in Montreal and has no affiliation with this software.

This software is under GNU General Public License v3.0. More info can be found in the LICENSE file.