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Software Engineering
Parallel Programming
With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread.g read more...
Programming Languages, Part A
This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. read more...
Programming Languages, Part B
This course is part of an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. read more...
Python Basics
This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. read more...
Python Classes and Inheritance
This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create "inherited" classes that reuse functionality. read more...
Python Functions, Files, and Dictionaries
This course introduces the dictionary data structure and user-defined functions. You'll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. read more...
Python Project: pillow, tesseract, and opencv
This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract). read more...
State Estimation and Localization for Self-Driving Cars
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto's Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. read more...
Visual Perception for Self-Driving Cars
Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto's Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. read more...
