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Resources for METR4202

METR4202 is a challenging course, not just in theory, but also requires you to be comfortable with a suite of software and technologies that are not necessarily taught in your degree that you may struggle with without the right background. Here lie resources for teaching METR4202 supporting background, first compiled for the Semester 2, 2021 run of the course. You don't need to learn all of these in full depth as is offered by many of the resources below but they are good references to learn stuff you're missing, or to remember stuff you've learnt previously before. If more resources need to be added, make a pull request to this repository.

Python

Python is one of the more forgiving language to learn and extremely common in Robotics (and other fields!)

Numerical tools

Python is a great general purpose language but as engineers, we need tools to not only write logical operations but also do maths. The tools for the job are the Numpy, Scipy and Matplotlib, the holy trinity of numerical python.

OpenCV

If you want to do image and video processing in Python, the default tool is OpenCV

Linux

Linux is an open-source Unix-like operating system that's pervasive throughout the engineering world.

ROS

ROS is a "communication framework" (not an operating system like how the name implies) for Robotics. Essentially, it helps you connect together components of what makes a robot in a way that's modular and can be swapped out and reasonably managed.

Git

Git is a version control system, indeed one that these resources are hosted on. While you aren't required to use Git for the course, it's highly recommended for backup and team collaboration reasons.

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