- Structured programming (programming in c)
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Discrete mathematics part 1
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Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions
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Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals
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Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions
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Discrete Math 1.2.1 - Translating Propositional Logic Statements
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Discrete Math - 1.2.2 Solving Logic Puzzles
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Discrete Math - 1.2.3 Introduction to Logic Circuits
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Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables
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Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws
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Discrete Math - 1.3.3 Constructing New Logical Equivalences
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Discrete Math - 1.4.1 Predicate Logic
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Discrete Math - 1.4.2 Quantifiers
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Discrete Math - 1.4.3 Negating and Translating with Quantifiers
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Discrete Math - 1.5.1 Nested Quantifiers and Negations
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Discrete Math - 1.5.2 Translating with Nested Quantifiers
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Discrete Math - 1.6.1 Rules of Inference for Propositional Logic
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Discrete Math - 1.6.2 Rules of Inference for Quantified Statements
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Discrete Math - 1.7.1 Direct Proof
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Discrete Math - 1.7.2 Proof by Contraposition
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Discrete Math - 1.7.3 Proof by Contradiction
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Discrete Math - 1.8.1 Proof by Cases
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Discrete Math - 1.8.2 Proofs of Existence And Uniqueness
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Discrete Math - 2.1.1 Introduction to Sets
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Discrete Math - 2.1.2 Set Relationships
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Discrete Math - 2.2.1 Operations on Sets
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Discrete Math - 2.2.2 Set Identities
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Discrete Math - 2.2.3 Proving Set Identities
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Discrete Math - 2.3.1 Introduction to Functions
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Discrete Math - 2.3.2 One to One and Onto Functions
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Discrete Math - 2.3.3 Inverse Functions and Composition of Functions
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Discrete Math - 2.3.4 Useful Functions to Know
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Discrete Math - 2.4.1 Introduction to Sequences
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Discrete Math - 2.4.2 Recurrence Relations
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Discrete Math - 2.4.3 Summations and Sigma Notation
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Discrete Math - 2.4.4 Summation Properties and Formulas
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Calculus part 1
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Calculus 1.1 A Preview of Calculus
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Calculus 1.2.1 Find Limits Graphically and Numerically: Estimate a Limit Numerically or Graphically
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Calculus 1.2.2 Find Limits Graphically and Numerically: When Limits Fail to Exist
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Calculus 1.2.3 Find Limits Graphically and Numerically: The Formal Definition of A Limit
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Calculus 1.3.1 Evaluating Limits Using Properties of Limits
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Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing
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Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem
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Calculus 1.4.1 Continuity on Open Intervals
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Calculus 1.4.2 Continuity on Closed Intervals
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Calculus 1.4.3 Properties of Continuity
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Calculus 1.4.4 The Intermediate Value Theorem
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Calculus 1.5.1 Determine Infinite Limits
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Calculus 1.5.2 Determine Vertical Asymptotes
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Calculus 2.1.1 Find the Slope of a Tangent Line
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Calculus 2.1.2 Derivatives Using the Limit Definition
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Calculus 2.1.3 Differentiability and Continuity
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Calculus 2.2.1 Basic Differentiation Rules
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Calculus 2.2.2 Rates of Change
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Calculus 2.3.1 The Product and Quotient Rules
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Calculus 2.3.2 Derivatives of Trigonometric Functions
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Calculus 2.3.3 Higher Order Derivatives
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Calculus 2.4.1 The Chain Rule
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Calculus 2.4.2 The General Power Rule
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Calculus 2.4.3 Simplifying Derivatives
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Calculus 2.4.4 Trigonometric Functions and the Chain Rule
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Calculus 2.5.1 Implicit and Explicit Functions
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Calculus 2.5.2 Implicit Differentiation
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Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle)
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Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere)
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Calculus I - 2.6.3 Related Rates - Modeling with Triangles
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Calculus 3.1.1 Extrema of a Function on an Interval
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Calculus 3.1.2 Relative Extrema of a Function on an Open Interval
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Calculus 3.1.3 Find Extrema on a Closed Interval
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Calculus 3.2.1 Rolle’s Theorem
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Calculus 3.2.2 The Mean Value Theorem
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Calculus 3.3.1 Increasing and Decreasing Intervals
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Calculus 3.3.2 The First Derivative Test
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Calculus 3.4.1 Intervals of Concavity
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Calculus 3.4.2 Points of Inflection
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Calculus 3.4.3 The Second Derivative Test
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Calculus 3.4.4 Putting It All Together
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Calculus 3.5.1 Determine Finite Limits at Infinity
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Calculus 3.5.2 Determine Horizontal Asymptotes of a Function
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Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples
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Calculus 3.5.4 Determine Infinite Limits at Infinity
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Calculus 3.6.1 A Summary of Curve Sketching
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Calculus 3.6.2 Curve Sketching - Full Practice
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Calculus 3.7.1 Optimization Problems
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Calculus 3.7.2 Optimization Practice
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Calculus 4.1.1 Antiderivatives
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Calculus 4.1.2 Basic Integration Rules
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Calculus 4.1.3 Find Particular Solutions to Differential Equations
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Calculus 4.2.1 Sigma Notation
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Calculus 4.2.2 The Concept of Area
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Calculus 4.2.3 The Approximate Area of a Plane Region
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Calculus 4.2.4 Finding Area By The Limit Definition
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Calculus 4.3.1 Riemann Sums
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Calculus 4.3.2 Definite Integrals
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Calculus 4.3.3 Properties of Definite Integrals
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Calculus 4.4.1 The Fundamental Theorem of Calculus
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Calculus 4.4.2 The Mean Value Theorem for Integrals
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Calculus 4.4.3 The Average Value of a Function
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Calculus 4.4.4 The Second Fundamental Theorem of Calculus
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Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals
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Calculus 4.5.2 Change of Variables for Indefinite Integrals
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Calculus 5.1.1 Properties of the Natural Logarithmic Function
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Calculus 5.1.2 The Number e
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Calculus 5.1.3 The Derivative of the Natural Logarithmic Function
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Calculus 5.2.1 The Log Rule for Integration
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Calculus 5.2.2 Integrals of Trigonometric Functions
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Calculus 5.3.1 Verify Functions are Inverses of One Another
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Calculus 5.3.2 Determine Whether a Function Has An Inverse
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Calculus 5.3.3 Find the Inverse of a Function
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Calculus 5.3.4 Find the Derivative of an Inverse of a Function
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Calculus 5.4.1 The Natural Exponential Function
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Calculus 5.4.2 Derivatives of the Natural Exponential Function
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Calculus 5.4.3 Integrals of the Natural Exponential Function
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Calculus 5.5.1 Exponential Functions with Bases Other than e
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Calculus 5.5.2 Differentiate and Integrate with Bases Other than e
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Calculus 5.5.3 Applications of Bases Other than e
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Calculus 5.6.1 Indeterminate Forms
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Calculus 5.6.2 L’Hôpital’s Rule
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Calculus 5.7.1 Inverse Trigonometric Functions
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Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions
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Calculus 5.8.1 Integrate Inverse Trigonometric Functions
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Calculus 5.8.2 Integrate Using the Completing the Square Technique
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- Introduction to computer science and programming
- Intro to python programming
Introduction to Programming and Computer Science - Full Course
In this course, you will learn basics of computer programming and computer science. The concepts you learn apply to any and all programming languages and will be a good base onto which you can build your skills. This video is meant for those who are interested in computer science and programming but have no idea where to start and have little to no background information on coding. ✏️Course created by Steven and Sean from NullPointer Exception. Check out their channel: https://www.youtube.com/channel/UCmWDlvMYYEbW42B8JyxFBcA ⭐️ Course Contents ⭐️ ⌨️ (00:05) Introduction ⌨️ (01:37) What is Programming? ⌨️ (06:19) How do we write Code? ⌨️ (11:44) How do we get Information from Computers? ⌨️ (14:46) What can Computers Do? ⌨️ (20:43) What are Variables? ⌨️ (25:02) How do we Manipulate Variables? ⌨️ (31:54) What are Conditional Statements? ⌨️ (37:54) What are Array’s? ⌨️ (44:26) What are Loops? ⌨️ (49:37) What are Errors? ⌨️ (55:22) How do we Debug Code? ⌨️ (1:00:25) What are Functions? ⌨️ (1:09:52) How can we Import Functions? ⌨️ (1:13:45) How do we make our own Functions? ⌨️ (1:21:56) What are ArrayLists and Dictionaries? ⌨️ (1:27:38) How can we use Data Structures? ⌨️ (1:36:27) What is Recursion? ⌨️ (1:43:42) What is Pseudocode? ⌨️ (1:50:40) Choosing the Right Language? ⌨️ (1:55:34) Applications of Programming -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
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