Be a self-taught computer scientist

This is a repository with the study planning that my wife Andressa and I have made. Our goal was to plan the equivalent of an entire Computer Science undergraduate program, based on the 6-3: Computer Science and Engineering 2019 MIT Curriculum, with only freely available courses. Pretty much every lecture is from top notch Universities such as MIT, Stanford and UC Berkeley. We also added some extra lectures that we will be watching as a complement to our studies.

The courses were divided in:

• Introductory
• Intermediate
• Advanced
• Extras *

* Extras not being included in the base MIT CS curriculum.

Introductory

Math

• TU Delft: Pre-University Calculus - edX
• MIT: Calculus 1A: Differentiation - edX
• MIT: Calculus 1B: Integration - edX
• MIT: Calculus 1C: Coordinate Systems & Infinite Series - edX
• MIT: Mathematics for Computer Science (2010) - MIT OpenCourseWare **
• MIT: Mathematics for Computer Science (2015) - MIT OpenCourseWare **
• 3Blue1Brown: Essence of Linear Algebra - YouTube ***
• MIT: Linear Algebra MIT OpenCourseWare

** These video lectures are from the same MIT course, one recorded in 2010, the other in 2015. Don't watch both, choose the one you like better.
*** 3BlueBrown is an YouTube channel.

Introduction to Computer Science and Programming

• MIT: Introduction to Computer Science and Programming in Python - MIT OpenCourseWare
• MIT: Introduction to Computational Thinking and Data Science - MIT OpenCourseWare | edX
• MIT: Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic - MIT OpenCourseWare

Intermediate

• Cornell: The Computing Technology Inside Your Smartphone - edX
• MIT: Computation Structures - Part 1: Digital Circuits - MIT OpenCourseWare
• Stanford: Algorithms: Design and Analysis - Lagunita
• UC Berkeley: Operating Systems - YouTube

Advanced

• MIT: Computation Structures 2: Software Construction - MIT OpenCourseWare
• MIT: Computer System Engineering - MIT OpenCourseWare
• Stanford: Algorithms: Design and Analysis, Part 2 - Lagunita
• UC Berkeley: Operating Systems and Systems Programming - YouTube
• Stanford: Introduction to Internet of Things - Lagunita
• University System of Georgia: Cybersecurity and the Internet of Things - Coursera
• UC Berkeley: Introduction to Database Systems - Internet Archive
• Stanford: Compilers - Lagunita
• MIT: Distributed Systems - YouTube

Extras

Data Science and Machine Learning

Introductory

• MIT: Probabilistic Systems Analysis and Applied Probability - MIT OpenCourseWare

Intermediate

• MIT: Introduction to Probability: Part II – Inference & Processes - edX

Advanced

• MIT: Machine Learning with Python: from Linear Models to Deep Learning - edX

Artificial Intelligence

• UC Berkeley: Intro to Artificial Intelligence - YouTube

Blockchain

• UC Berkeley: Bitcoin and Cryptocurrencies - edX
• UC Berkeley: Blockchain Technology - edX