Curated Video
GCSE Physics - Vector Diagrams and Resultant Forces #43
This video covers: - How to represent forces with scale diagrams - Finding the resultant force from vectors - How to resolve vectors by splitting them into horizontal and vertical components General info: - Suitable for all GCSE courses...
Curated Video
GCSE Physics - The difference between Speed and Velocity & Distance and Displacement #51
This video covers: - The difference between scalar and vector quantities - Why speed is scalar, but velocity is a vector - The difference between distance and displacement - How to calculate speed and velocity - Common speeds you need to...
Curated Video
GCSE Physics - Scalar and Vector Quantities #41
This video covers: - The difference between scalar and vector quantities - Examples of each - An case study using distance vs displacement General info: - Suitable for all GCSE and IGCSE courses - Suitable for higher and foundation tiers...
Higgsino Physics
The divergence operator and Gauss's'law
On the divergence field In Gauss law The operator that works on a vector field. A normal explanation of the divergence operator, is saying that it measures how much is flowing in or out in a given area. In this video we will take a more...
Curated Video
Vectors 27
This video will define a vector and explain magnitude and direction, using example graphs.
Curated Video
Complex Numbers
“Complex Numbers” will explain what a complex number is and how to apply operations to complex numbers.
Virtually Passed
5.0 A better way to understand Differential Equations | Nonlinear Dynamics | Bendixson's Criterion
Bendixson's criterion is another method used to disprove the existence of closed orbits. A periodic solution is a type of closed orbit. This theorem only holds for simply connected regions in 2D. The statement is that if on a simply...
Virtually Passed
3.0 A better way to understand Differential Equations | Nonlinear Dynamics | Linearization
These second-order nonlinear differential equations can be written in the form: dx/dt = f(x,y) dy/dt = g(x,y) Got a nonlinear differential equation? No problem, just linearize it! This method approximates the vector field as a linear...
Nature League
A World Without Mosquitoes?
On this episode of Nature League, Adrian asks Brit what would happen if all mosquitoes went extinct. Graphics by Tamar Ziri; Original intro and branding by Matt Gaydos and Maia Ledesma. Special help from Felix and Jane
Flipping Physics
Thin Ring Electric Field using Electric Potential
First we solve for the electric potential along the axis of a uniform thin ring of electric charge. Then we use that electric potential to solve for the electric field at the same location.
Curated Video
R Programming for Statistics and Data Science - Extending a Data Frame in R
This video explains extending a data frame in R. This clip is from the chapter "Data Frames" of the series "R Programming for Statistics and Data Science".This section explains data frames.
Curated Video
R Programming for Statistics and Data Science - Creating a Factor in R
This video explains creating a factor in R. This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Curated Video
R Programming for Statistics and Data Science - Creating a Matrix in R
This video explains creating a matrix in R This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Curated Video
R Programming for Statistics and Data Science - Indexing and Slicing a Data Frame in R
This video explains indexing and slicing a data frame in R. This clip is from the chapter "Data Frames" of the series "R Programming for Statistics and Data Science".This section explains data frames.
Curated Video
Structural Design Patterns in Modern C++ - Basic Example - Composite Design Pattern
This video presents a basic implementation example of the composite pattern. This clip is from the chapter "Composite Design Pattern" of the series "Structural Design Patterns in Modern C++".This section focuses on the composite design...
Curated Video
Structural Design Patterns in Modern C++ - Applying Protection Proxy
This video explains how to apply the protection proxy. This clip is from the chapter "Proxy Design Pattern" of the series "Structural Design Patterns in Modern C++".This section focuses on the proxy design pattern.
Curated Video
R Programming for Statistics and Data Science - Vectors and Logicals Operators
This video explains vectors and logical operators. This clip is from the chapter "Fundamentals of Programming with R" of the series "R Programming for Statistics and Data Science".This section explains fundamentals of programming with R.
Curated Video
R Programming for Statistics and Data Science - Vector Recycling
This video explains vector recycling. This clip is from the chapter "Vectors and Vector Operations" of the series "R Programming for Statistics and Data Science".This section explains vectors and vector operations.
Curated Video
R Programming for Statistics and Data Science - Slicing a Matrix in R
This video explains slicing a matrix in R. This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Curated Video
R Programming for Statistics and Data Science - Naming a Vector in R
This video explains naming a vector in R. This clip is from the chapter "Vectors and Vector Operations" of the series "R Programming for Statistics and Data Science".This section explains vectors and vector operations.
Curated Video
R Programming for Statistics and Data Science - Matrix Operations in R
This video explains matrix operations in R. This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.
Curated Video
R Programming for Statistics and Data Science - Lists in R
This video explains lists in R. This clip is from the chapter "Matrices" of the series "R Programming for Statistics and Data Science".This section explains matrices.