Udacity - Intro to Self-Driving Cars nd113 v1.0.0

With just minimal programming experience, you can learn the essentials of building a self-driving car. You’ll discover how to solve problems in both Python and C++ as you explore what makes self-driving cars possible. Plus, graduates earn guaranteed admission into our career-ready Self-Driving Car Engineer Nanodegree program!

Content:

Part 01-Module 01-Lesson 01_Introduction
Part 01-Module 02-Lesson 01_The Carla Chronicles Back on Track
Part 01-Module 02-Lesson 02_Get Ready
Part 02-Module 01-Lesson 01_Introduction
Part 02-Module 01-Lesson 02_Joy Ride
Part 02-Module 01-Lesson 03_Probability
Part 02-Module 01-Lesson 04_Conditional Probability
Part 02-Module 01-Lesson 05_Programming Probability in Python
Part 02-Module 01-Lesson 06_Bayes' Rule
Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations
Part 02-Module 01-Lesson 08_Probability Distributions
Part 02-Module 01-Lesson 09_Programming Probability Distributions
Part 02-Module 01-Lesson 10_Gaussian Distributions
Part 02-Module 01-Lesson 11_Robot Localization
Part 02-Module 01-Lesson 12_Histogram Filter in Python
Part 03-Module 01-Lesson 01_Section Overview
Part 03-Module 01-Lesson 02_Introduction to Kalman Filters
Part 03-Module 01-Lesson 03_State and Object-Oriented Programming
Part 03-Module 01-Lesson 04_Matrices and Transformation of State
Part 03-Module 01-Lesson 05_Implement Matrix Class
Part 04-Module 01-Lesson 01_C++ Getting Started
Part 04-Module 01-Lesson 02_C++ Vectors
Part 04-Module 01-Lesson 03_Practical C++
Part 04-Module 01-Lesson 04_C++ Object Oriented Programming
Part 04-Module 01-Lesson 05_Python and C++ Speed
Part 04-Module 01-Lesson 06_Translate Python to C++
Part 05-Module 01-Lesson 01_C++ Intro to Optimization
Part 05-Module 01-Lesson 02_C++ Optimization Practice
Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter
Part 06-Module 01-Lesson 01_How to Solve Problems
Part 06-Module 01-Lesson 02_Data Structures
Part 06-Module 01-Lesson 03_The Search Problem
Part 06-Module 01-Lesson 04_Implement Route Planner
Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives
Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals
Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry
Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data
Part 08-Module 01-Lesson 01_Computer Vision and Classification
Part 08-Module 01-Lesson 02_Traffic Light Classifier
Part 09-Module 01-Lesson 01_Congratulations! You've finished!
Part 09-Module 02-Lesson 01_Guaranteed Admission into your next Nanodegree

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