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University of Toronto Self-Driving Cars Specialization Prerequisites

Overview

A list of recommended prerequisites for the University of Toronto's Self-Driving Cars Specialization Prerequisites.

Programming Languages

AI/ML

Mathematics

  • Core:
    • Linear Algebra: matrices, vectors, matrix multiplication, rank, eigenvalues, vectors, inverses
    • Calculus: Derivatives, Integrals, multivariate calculus, Quartenions
    • Probability & Statistics: Regression, Mean Square Error, Gaussian Distribution, Likelihood
  • Mooc:
    • Todo

Physics

  • Core:
    • Newton's laws, forces, moments, inertia
    • Vehicle Dynamic Control: Kinematic model, Dynamic model
  • Mooc:
    • Todo

Robotics

HW-SW recommendations

  • Carla Simulator: For the final project.
  • Installation requirements:
    • Desktop PC or gaming laptop, which includes:
      • Windows 7 (64-bit or later, Windows 10 preferred) or Linux (Ubuntu 16.04 - or later)
      • Quad-core Intel or AMD processor, 2.5 GHz or faster
      • NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher
      • 8 GB RAM
      • OpenGL 3 or greater (for Linux computers)
  • MacOs: At this time macOS is not natively supported by CARLA (latest version of course)
  • Virtual Machine: Not recommended

References

Courses Resources

Inspirations: