Dan5

These documents contain the notes from every lecture of the Discrete Mathematics for Computer Science, Linear Algebra, and Electricity and Magnetism classes at MIT. There is a bonus document for the Electricity and Magnetism course that deep dives into conductors. Over 90 lectures covered with graphics and color coding to help you learn.

Contains all the notes from the Electricity and Magnetism (8.02) notes at MIT along with a thorough deep dive into the properties of conductors and their applications in electric circuits, electrostatics, and electromagnetism.

This document goes through an A student's notes from the 6.1200 courses at MIT. It goes over every lecture in the course and contains six units: Proofs, Iteration and Growth, Number Theory, Graph Theory, Counting, and Probability. It contains notes of over 20 lectures.

This document delves deep into the key properties of conductors and their crucial role in the study of electricity and magnetism. Conductors possess the remarkable characteristic of electrostatic shielding, wherein the electric field inside a conductor reaches zero in electrostatic equilibrium. This occurs as any excess charge on the conductor redistributes itself uniformly over the surface, effectively canceling out the external electric field. Consequently, conductors confine electric fields t...

These are the notes of an MIT student who received an A+ mark in the class! Electricity and Magnetism (course code 8.02) at MIT is a physics course that delves into the fundamental principles and concepts of electromagnetism. It is part of the introductory physics sequence and provides a comprehensive understanding of electric and magnetic phenomena. The course covers a wide range of topics, including: Electric Fields: Students learn about the concept of electric charge and how it gives...

Linear Algebra is a fundamental course in mathematics that focuses on the study of vector spaces and linear transformations. The course at MIT, taught by Professor Gilbert Strang and Andrew Horning during the 2022-2023 academic year, is highly regarded for its depth and quality. The course covers a wide range of topics, starting with the basics of vector spaces, subspaces, and linear independence. Students will learn about linear transformations and their matrix representations, as well as th...