Online courses directory (10358)

Investigate the basic concepts behind programming languages, with an emphasis on the techniques and benefits of functional programming. Use the programming languages ML, Racket, and Ruby to learn how the pieces of a language fit together to create more than the sum of the parts. Gain new software skills and the concepts needed to learn new languages on your own.

Sal does the 80 problems from the released questions from the California Standards Test for Geometry. Basic understanding of Algebra I necessary. Interesting Perimeter and Area Problems. Challenging Perimeter Problem. CA Geometry: deductive reasoning. CA Geometry: Proof by Contradiction. CA Geometry: More Proofs. CA Geometry: Similar Triangles 1. CA Geometry: Similar Triangles 2. CA Geometry: More on congruent and similar triangles. CA Geometry: Triangles and Parallelograms. CA Geometry: Area, Pythagorean Theorem. CA Geometry: Area, Circumference, Volume. CA Geometry: Pythagorean Theorem, Area. CA Geometry: Exterior Angles. CA Geometry: Deducing Angle Measures. CA Geometry: Pythagorean Theorem, Compass Constructions. CA Geometry: Compass Construction. CA Geometry: Basic Trigonometry. CA Geometry: More Trig. CA Geometry: Circle Area Chords Tangent. CA Geometry: Secants and Translations. Interesting Perimeter and Area Problems. Challenging Perimeter Problem. CA Geometry: deductive reasoning. CA Geometry: Proof by Contradiction. CA Geometry: More Proofs. CA Geometry: Similar Triangles 1. CA Geometry: Similar Triangles 2. CA Geometry: More on congruent and similar triangles. CA Geometry: Triangles and Parallelograms. CA Geometry: Area, Pythagorean Theorem. CA Geometry: Area, Circumference, Volume. CA Geometry: Pythagorean Theorem, Area. CA Geometry: Exterior Angles. CA Geometry: Deducing Angle Measures. CA Geometry: Pythagorean Theorem, Compass Constructions. CA Geometry: Compass Construction. CA Geometry: Basic Trigonometry. CA Geometry: More Trig. CA Geometry: Circle Area Chords Tangent. CA Geometry: Secants and Translations.

Learn about the cervical (neck) spine through an Xray!. Adequacy of the Lateral Cervical Spine X-Ray. Assessing Alignment of the Lateral Cervical Spine (neck) X-Ray. Cervical Spine Protection in Airway Management (not a substitute for formal training). Adequacy of the Lateral Cervical Spine X-Ray. Assessing Alignment of the Lateral Cervical Spine (neck) X-Ray. Cervical Spine Protection in Airway Management (not a substitute for formal training).

Understanding the clinical terms and abbreviations commonly used in U.S. hospitals is challenging. Adaptation to clinical language is difficult for U.S. students entering the clinical area and even more difficult for international students whose primary language is not English. This course helps both groups of students understand many of the terms and abbreviations commonly encountered during the first three months of clinical work on a U.S. general hospital unit.

Overview of how to set up accounts for students under 13 and 13+, how to add a coach on Khan Academy, and how to separate students into class lists. For more information on getting started and technology needs, check out http://www.khanacademy.org/toolkit/getting-started. Creating Khan Academy accounts for users ages 13+. Creating Khan Academy accounts for users under age 13. Adding a coach and creating class lists on Khan Academy. How to delete a student or class list. How to add a coach on Khan Academy.

Learn some basics about the Health Care system in the US. Blue Cross and Blue Shield. Conversation About Drug Pricing. Health Care Costs in US vs Europe. Healthcare System Overview. Paying Doctors. Medicare Overview. Blue Cross and Blue Shield. Conversation About Drug Pricing. Health Care Costs in US vs Europe. Healthcare System Overview. Paying Doctors. Medicare Overview.

In this course, you'll hone your problem-solving skills through learning to find numerical solutions to systems of differential equations. You'll write code in Python to fight forest fires, rescue the Apollo 13 astronauts, stop the spread of epidemics, and resolve other real-world dilemmas.

An introduction to astronomy through a broad survey of what we know about the universe and how we know it.

Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.

This course covers mathematical topics in algebra and trigonometry and is designed to prepare students to enroll for a first semester course in single variable calculus.

The Lungs and Pulmonary System. Red blood cells. Circulatory System and the Heart. Hemoglobin. Anatomy of a Neuron. Sodium Potassium Pump. Correction to Sodium and Potassium Pump Video. Electrotonic and Action Potentials. Saltatory Conduction in Neurons. Neuronal Synapses (Chemical). Myosin and Actin. Tropomyosin and troponin and their role in regulating muscle contraction. Role of the Sarcoplasmic Reticulum in Muscle Cells. Anatomy of a muscle cell. The Kidney and Nephron. Secondary Active Transport in the Nephron. The Lungs and Pulmonary System. Red blood cells. Circulatory System and the Heart. Hemoglobin. Anatomy of a Neuron. Sodium Potassium Pump. Correction to Sodium and Potassium Pump Video. Electrotonic and Action Potentials. Saltatory Conduction in Neurons. Neuronal Synapses (Chemical). Myosin and Actin. Tropomyosin and troponin and their role in regulating muscle contraction. Role of the Sarcoplasmic Reticulum in Muscle Cells. Anatomy of a muscle cell. The Kidney and Nephron. Secondary Active Transport in the Nephron.

This course will explore new breakthroughs in the treatment of patients during cardiac arrest and after successful resuscitation, including new approaches to cardiopulmonary resuscitation (CPR) and post-arrest care.

Improve your ability to manage creativity and to lead an innovation strategy in businesses, schools, hospitals, governments, and other complex organizations and institutions, by diagnosing likely innovation failures before they occur.

Think that a prescription medication must be safer than a “street drug”? Think again. Investigate the epidemic rise of prescription drug abuse and use science to debunk commonly held misconceptions regarding this phenomenon.

Khan Academy Vision. Sal Khan on Digital and Physical Learning. Khan Academy Vision. Sal Khan on Digital and Physical Learning.

Matrices, vectors, vector spaces, transformations. Covers all topics in a first year college linear algebra course. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra. Introduction to matrices. Matrix multiplication (part 1). Matrix multiplication (part 2). Idea Behind Inverting a 2x2 Matrix. Inverting matrices (part 2). Inverting Matrices (part 3). Matrices to solve a system of equations. Matrices to solve a vector combination problem. Singular Matrices. 3-variable linear equations (part 1). Solving 3 Equations with 3 Unknowns. Introduction to Vectors. Vector Examples. Parametric Representations of Lines. Linear Combinations and Span. Introduction to Linear Independence. More on linear independence. Span and Linear Independence Example. Linear Subspaces. Basis of a Subspace. Vector Dot Product and Vector Length. Proving Vector Dot Product Properties. Proof of the Cauchy-Schwarz Inequality. Vector Triangle Inequality. Defining the angle between vectors. Defining a plane in R3 with a point and normal vector. Cross Product Introduction. Proof: Relationship between cross product and sin of angle. Dot and Cross Product Comparison/Intuition. Matrices: Reduced Row Echelon Form 1. Matrices: Reduced Row Echelon Form 2. Matrices: Reduced Row Echelon Form 3. Matrix Vector Products. Introduction to the Null Space of a Matrix. Null Space 2: Calculating the null space of a matrix. Null Space 3: Relation to Linear Independence. Column Space of a Matrix. Null Space and Column Space Basis. Visualizing a Column Space as a Plane in R3. Proof: Any subspace basis has same number of elements. Dimension of the Null Space or Nullity. Dimension of the Column Space or Rank. Showing relation between basis cols and pivot cols. Showing that the candidate basis does span C(A). A more formal understanding of functions. Vector Transformations. Linear Transformations. Matrix Vector Products as Linear Transformations. Linear Transformations as Matrix Vector Products. Image of a subset under a transformation. im(T): Image of a Transformation. Preimage of a set. Preimage and Kernel Example. Sums and Scalar Multiples of Linear Transformations. More on Matrix Addition and Scalar Multiplication. Linear Transformation Examples: Scaling and Reflections. Linear Transformation Examples: Rotations in R2. Rotation in R3 around the X-axis. Unit Vectors. Introduction to Projections. Expressing a Projection on to a line as a Matrix Vector prod. Compositions of Linear Transformations 1. Compositions of Linear Transformations 2. Matrix Product Examples. Matrix Product Associativity. Distributive Property of Matrix Products. Introduction to the inverse of a function. Proof: Invertibility implies a unique solution to f(x)=y. Surjective (onto) and Injective (one-to-one) functions. Relating invertibility to being onto and one-to-one. Determining whether a transformation is onto. Exploring the solution set of Ax=b. Matrix condition for one-to-one trans. Simplifying conditions for invertibility. Showing that Inverses are Linear. Deriving a method for determining inverses. Example of Finding Matrix Inverse. Formula for 2x2 inverse. 3x3 Determinant. nxn Determinant. Determinants along other rows/cols. Rule of Sarrus of Determinants. Determinant when row multiplied by scalar. (correction) scalar multiplication of row. Determinant when row is added. Duplicate Row Determinant. Determinant after row operations. Upper Triangular Determinant. Simpler 4x4 determinant. Determinant and area of a parallelogram. Determinant as Scaling Factor. Transpose of a Matrix. Determinant of Transpose. Transpose of a Matrix Product. Transposes of sums and inverses. Transpose of a Vector. Rowspace and Left Nullspace. Visualizations of Left Nullspace and Rowspace. Orthogonal Complements. Rank(A) = Rank(transpose of A). dim(V) + dim(orthogonal complement of V)=n. Representing vectors in Rn using subspace members. Orthogonal Complement of the Orthogonal Complement. Orthogonal Complement of the Nullspace. Unique rowspace solution to Ax=b. Rowspace Solution to Ax=b example. Showing that A-transpose x A is invertible. Projections onto Subspaces. Visualizing a projection onto a plane. A Projection onto a Subspace is a Linear Transforma. Subspace Projection Matrix Example. Another Example of a Projection Matrix. Projection is closest vector in subspace. Least Squares Approximation. Least Squares Examples. Another Least Squares Example. Coordinates with Respect to a Basis. Change of Basis Matrix. Invertible Change of Basis Matrix. Transformation Matrix with Respect to a Basis. Alternate Basis Transformation Matrix Example. Alternate Basis Transformation Matrix Example Part 2. Changing coordinate systems to help find a transformation matrix. Introduction to Orthonormal Bases. Coordinates with respect to orthonormal bases. Projections onto subspaces with orthonormal bases. Finding projection onto subspace with orthonormal basis example. Example using orthogonal change-of-basis matrix to find transformation matrix. Orthogonal matrices preserve angles and lengths. The Gram-Schmidt Process. Gram-Schmidt Process Example. Gram-Schmidt example with 3 basis vectors. Introduction to Eigenvalues and Eigenvectors. Proof of formula for determining Eigenvalues. Example solving for the eigenvalues of a 2x2 matrix. Finding Eigenvectors and Eigenspaces example. Eigenvalues of a 3x3 matrix. Eigenvectors and Eigenspaces for a 3x3 matrix. Showing that an eigenbasis makes for good coordinate systems. Vector Triple Product Expansion (very optional). Normal vector from plane equation. Point distance to plane. Distance Between Planes.

Nerves, the heart, and the brain are electrical. How do these things work? This course presents fundamental principles, described quantitatively.

Fluids (part 1). Fluids (part 2). Fluids (part 3). Fluids (part 4). Fluids (part 5). Fluids (part 6). Fluids (part 7). Fluids (part 8). Fluids (part 9). Fluids (part 10). Fluids (part 11). Fluids (part 12). Fluids (part 1). Fluids (part 2). Fluids (part 3). Fluids (part 4). Fluids (part 5). Fluids (part 6). Fluids (part 7). Fluids (part 8). Fluids (part 9). Fluids (part 10). Fluids (part 11). Fluids (part 12).

What are science, technology, and innovation? How do science, technology, and innovation inform our understanding of developments in the social sphere? How have these domains evolved in the Chinese context? In this course, we will examine these issues and attempt answering these and many other questions!

This course teaches scientists to become more effective writers, using practical examples and exercises. Topics include: principles of good writing, tricks for writing faster and with less anxiety, the format of a scientific manuscript, and issues in publication and peer review.