This is an undergraduate level course recommended for high schoolers, strctured to be completed in 12 weeks. It covers the topics of space, time, mass, force, momentum, torque, and angular momentum. […]
Classical Mechanics – Physics
Duration: Greater than 5 hours
The Big Questions in Physics
This course takes high schoolers through interesting questions we tend to have including ones about the existince of parallel universes or aliens. It’s a fun way to take students through physics concepts. […]
Highlights of Calculus
This course presents an overview of Calculus using real life situations, videos, slide decks, and practice problems. This is one of several courses in a collection from across MIT that are appropriate for High Schoolers since at least at MIT, students are expected to have taken Calculus before. […]
Combinatorics: The Fine Art of Counting
Split into 10 weeks of material and lecture content, this course is designed for high schoolers by MIT students. It delves into Combinatorics, a branch of mathematics that has importance applications in Machine Learning, Artitifical Intelligence, Software Engineering and more. […]
High School Engineering Courses Developed or Recommended by MIT
The website link will point you to a list of engineering resources for high schoolers. Some are undergraduate level courses that are considered appropriate and recommended for high schoolers, and a couple are courses designed specifically for high schoolers by MIT students. It would be useful to glance at each course, as they are all […]
Read More… from High School Engineering Courses Developed or Recommended by MIT
Elements of AI: Introduction to AI
In 6 chapters, the goal of this course is to get everyone who uses it to understand what artificial intelligence is, what is possible with it, and how it affects our lives. […]
Machine Learning Crash Course
Meant for aspiring machine learning practitioners, this course offers 25 lessons, 30+ exercises, real world case studies, and more to give you a practical introduction to machine learning. […]
A Practical Introduction to MATLAB
Updated for MATLAB 5, this 8 chapter book provides an Intro to MATLAB and its usage for Machine Learning. […]
Elements of AI: Introduction to AI
In 6 chapters, the goal of this course is to get everyone who uses it to understand what artificial intelligence is, what is possible with it, and how it affects our lives. […]
Machine Learning Crash Course
Meant for aspiring machine learning practitioners, this course offers 25 lessons, 30+ exercises, real world case studies, and more to give you a practical introduction to machine learning. […]
Probability Review
A thorough review of probability concepts and theorems with many accompanying questions to solve. […]
Linear Alegbra Review and Reference
Four chapters of major linear algebra topics (basic concepts and notation, matrix multiplication, operations and properties, and matrix calculus) are covered in this review and reference book. Formulas, definitions, concepts, and examples are all present. […]