• Anytime
    Application Deadline
  • 2 months
    Duration
This Introduction to Self-Driving Cars offered by Coursera in partnership with University of Toronto is part of the Self-Driving Cars Specialization.
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Overview

Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. 

This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars.  

By the end of this course, you will be able to: 

  • Understand commonly used hardware used for self-driving cars
  • Identify the main components of the self-driving software stack
  • Program vehicle modelling and control  
  • Analyze the safety frameworks and current industry practices for vehicle development

For the final project in this Introduction to Self-Driving Cars offered by Coursera in partnership with University of Toronto, you will develop control code to navigate a self-driving car around a racetrack in the CARLA simulation environment. You will construct longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and path tracking performance using Python. You’ll test the limits of your control design and learn the challenges inherent in driving at the limit of vehicle performance.

This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).

Detailed Programme Facts

Programme Structure

Courses include:

  • Welcome to the Self-Driving Cars Specialization!
  • The Requirements for Autonomy
  • Self-Driving Hardware and Software Architectures
  • Safety Assurance for Autonomous Vehicles
  • Vehicle Dynamic Modeling

Details on Coursera Plus:

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English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Advanced Level

  • This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.

Tuition Fee

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Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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