technifyed

Overview

In 46 episodes, Dr. Shini Somara will help you find your place in the world -- literally! -- with physics. This course is based on introductory college-level material and the 2016 AP Physics I and II curriculum. By the end of this course, you will be able to:

*Identify the fundamental forces describing the world and the core branches of physics

*Pose, refine, and evaluate scientific questions

*Connect phenomena and models across spatial and temporal scales

*Use representations and models to communicate scientific phenomena and solve scientific problems

*Apply mathematical equations that describe natural phenomena

Videos in this playlist 47

  1. Crash Course Physics Preview
  2. Motion in a Straight Line: Crash Course Physics #1
  3. Derivatives: Crash Course Physics #2
  4. Integrals: Crash Course Physics #3
  5. Vectors and 2D Motion: Crash Course Physics #4
  6. Newton's Laws: Crash Course Physics #5
  7. Friction: Crash Course Physics #6
  8. Uniform Circular Motion: Crash Course Physics #7
  9. Newtonian Gravity: Crash Course Physics #8
  10. Work, Energy, and Power: Crash Course Physics #9
  11. Collisions: Crash Course Physics #10
  12. Rotational Motion: Crash Course Physics #11
  13. Torque: Crash Course Physics #12
  14. Statics: Crash Course Physics #13
  15. Fluids at Rest: Crash Course Physics #14
  16. Fluids in Motion: Crash Course Physics #15
  17. Simple Harmonic Motion: Crash Course Physics #16
  18. Traveling Waves: Crash Course Physics #17
  19. Sound: Crash Course Physics #18
  20. The Physics of Music: Crash Course Physics #19
  21. Temperature: Crash Course Physics #20
  22. Kinetic Theory and Phase Changes: Crash Course Physics #21
  23. The Physics of Heat: Crash Course Physics #22
  24. Thermodynamics: Crash Course Physics #23
  25. Engines: Crash Course Physics #24
  26. Electric Charge: Crash Course Physics #25
  27. Electric Fields: Crash Course Physics #26
  28. Voltage, Electric Energy, and Capacitors: Crash Course Physics #27
  29. Electric Current: Crash Course Physics #28
  30. DC Resistors & Batteries: Crash Course Physics #29
  31. Circuit Analysis: Crash Course Physics #30
  32. Capacitors and Kirchhoff: Crash Course Physics #31
  33. Magnetism: Crash Course Physics #32
  34. Ampère's Law: Crash Course Physics #33
  35. Induction - An Introduction: Crash Course Physics #34
  36. How Power Gets to Your Home: Crash Course Physics #35
  37. AC Circuits: Crash Course Physics #36
  38. Maxwell's Equations: Crash Course Physics #37
  39. Geometric Optics: Crash Course Physics #38
  40. Light Is Waves: Crash Course Physics #39
  41. Spectra Interference: Crash Course Physics #40
  42. Optical Instruments: Crash Course Physics #41
  43. Special Relativity: Crash Course Physics #42
  44. Quantum Mechanics - Part 1: Crash Course Physics #43
  45. Quantum Mechanics - Part 2: Crash Course Physics #44
  46. Nuclear Physics: Crash Course Physics #45
  47. Astrophysics and Cosmology: Crash Course Physics #46

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • 6,009,386 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (47 videos) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Crash Course is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (78/100).

Similar courses

Compare these

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Free to audit8 weeks, 2 - 3 hours per week

Enter your email and the official page opens. Phone is optional.