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Calculus: Complete Course (2024) - BaDshaH - 05-09-2024 Published 5/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 7.15 GB | Duration: 20h 4m From Beginner to Expert - Calculus Made Easy, Fun and Beautiful What you'll learn Differentiation Integration Differential Equations Optimization Chain Rule, Product Rule, Quotient Rule Limits Maclaurin and Taylor Series Requirements A good basic foundation in algebra. Knowledge of trigonometry useful but not essential Knowledge of exponentials and logarithms useful but not essential Description This is course designed to take you from beginner to expert in calculus. It is designed to be fun, hands on and full of examples and explanations. It is suitable for anyone who wants to learn calculus in a rigorous yet intuitive and enjoyable way.The concepts covered in the course lie at the heart of other disciples, like machine learning, data science, engineering, physics, financial analysis and more.Videos packed with worked examples and explanations so you never get lost, and many of the topics covered are implemented in Geogebra, a free graphing software package.Key concepts taught in the course areifferentiation Key Skills: learn what it is, and how to use it to find gradients, maximum and minimum points, and solve optimisation problems.Integration Key Skills: learn what it is, and how to use it to find areas under and between curves.Methods in Differentiation: The Chain Rule, Product Rule, Quotient Rule and more.Methods in Integration: Integration by substitution, by parts, and many more advanced techniques.Applications of Differentiation: L'Hopital's rule, Newton's method, Maclaurin and Taylor series.Applications in Integration: Volumes of revolution, surface areas and arc lengths.Alternative Coordinate Systems: parametric equations and polar curves.1st Order Differential Equations: learn a range of techniques, including separation of variables and integrating factors.2nd Order Differential Equations: learn how to solve homogeneous and non-homogeneous differential equations as well as coupled and reducible differential equations.Much, much more!The course requires a solid understanding of algebra. In order to progress past the first few chapters, an understanding of trigonometry, exponentials and logarithms is useful, though I give a brief introduction to each.Please note: This course is not linked to the US syllabus Calc 1, Calc 2 & Calc 3 courses, and not designed to prepare you specifically for these. The course will be helpful for students working towards these, but that's not the aim of this course. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 What's in the Course? Section 2: Introduction to Calculus Lecture 3 What is Calculus Lecture 4 Intuitive Limits Lecture 5 Terminology Lecture 6 The Derivative of a Polynomial at a Point Lecture 7 The Derivative of a Polynomial in General Lecture 8 The Derivative of x^n Lecture 9 The Derivative of x^n - Proof Lecture 10 Negative and Fractional Powers Lecture 11 Getting Started with Geogebra Section 3: Differentiation - Key Skills Lecture 12 Finding the Gradient at a Point Lecture 13 Tangents Lecture 14 Normals Lecture 15 Stationary Points Lecture 16 Increasing and Decreasing Functions Lecture 17 Second Derivatives Lecture 18 Optimisation - Part 1 Lecture 19 Optimisation - Part 2 Section 4: Integration - Key Skills Lecture 20 Reverse Differentiation Lecture 21 Families of Functions Lecture 22 Finding Functions Lecture 23 Integral Notation Lecture 24 Integration as Area - An Intuitive Approach Lecture 25 Integration as Area - An Algebraic Proof Lecture 26 Areas Under Curves - Part 1 Lecture 27 Areas Under Curves - Part 2 Lecture 28 Areas Under the X-Axis Lecture 29 Areas Between Functions Section 5: Applications of Calculus Lecture 30 Motion Lecture 31 Probability Section 6: Calculus with Chains of Polynomials Lecture 32 f(x)^n - Spotting a Pattern Lecture 33 Differentiating f(x)^n - An Algebraic Proof Lecture 34 The Chain Rule for f(x)^n Lecture 35 Using the Chain Rule for f(x)^n Lecture 36 Reverse Chain Rule for f(x)^n Lecture 37 Reverse Chain Rule for f(x)^n - Definite Integrals Section 7: Calculus with Exponentials and Logarithms Lecture 38 Introduction to Exponentials Lecture 39 Introduction to Logarithms Lecture 40 THE Exponential Function Lecture 41 Differentiating Exponentials Lecture 42 Differentiating Chains of Exponentials - Part 1 Lecture 43 Differentiating Chains of Exponentials - Part 2 Lecture 44 The Natural Log and its Derivative Lecture 45 Differentiating Chains of Logarithms Lecture 46 Reverse Chain Rule for Exponentials Lecture 47 Reverse Chain Rule for Logarithms Section 8: Calculus with Trigonometric Functions Lecture 48 Radians Lecture 49 Small Angle Approximations Lecture 50 Differentiating Sin(x) and Cos(x) Lecture 51 OPTIONAL - Proof of the Addition Formulae Lecture 52 Differentiating Chains of Sin(x) and Cos(x) Lecture 53 Reverse Chain Rule for Trig Functions Lecture 54 Integrating Powers of Sin(x) and Cos(x) Section 9: Advanced Techniques in Differentiation Lecture 55 The Chain Rule Lecture 56 The Product Rule - An Intuitive Approach Lecture 57 Using the Product Rule Lecture 58 Algebraic Proof of the Product Rule Lecture 59 The Quotient Rule Lecture 60 Derivatives of All Six Trigonometric Functions Lecture 61 Implicit Differentiation Lecture 62 Stationary and Critical Points Section 10: Advanced Techniques is Integration Lecture 63 Integrating the Squares of All Trigonometric Functions Lecture 64 Integrating Products of Trigonometric Functions Lecture 65 Reverse Chain Rule Lecture 66 Introduction to Partial Fractions Lecture 67 Integrating with Partial Fractions Lecture 68 Integration by Parts - Part 1 Lecture 69 Integration by Parts - Part 2 Lecture 70 Integration by Parts - Part 3 Lecture 71 Integration by Substitution - Part 1 Lecture 72 Integration by Substitution - Part 2 Lecture 73 Integration by Substitution - Part 3 Lecture 74 Integration by Substitution - Part 4 Lecture 75 Area of a Circle - Proof with Calculus Lecture 76 Reduction Formulae - Part 1 Lecture 77 Reduction Formulae - Part 2 Section 11: Advanced Applications in Differentiation Lecture 78 Connected Rates of Changes Lecture 79 Newton's Method Lecture 80 L'Hopital's Rules - Part 1 Lecture 81 L'Hopital's Rule - Part 2 Lecture 82 Maclaurin Series - Part 1 Lecture 83 Maclaurin Series - Part 2 Lecture 84 The Leibnitz Formula Lecture 85 Taylor Series Section 12: Advanced Applications in Integration Lecture 86 Volumes of Revolution Around the X-Axis - Part 1 Lecture 87 Volumes of Revolution Around the X-Axis - Part 2 Lecture 88 Volumes of Revolution Around the Y-Axis Lecture 89 Surface Areas of Revolution - Part 1 Lecture 90 Surface Areas of Revolution - Part 2 Lecture 91 Arc Lengths Section 13: Alternative Coordinate Systems Lecture 92 Parametric Equations - Introduction Lecture 93 Converting Parametric Equations into Cartesian Equations Lecture 94 Differentiating Parametric Equations Lecture 95 Integrating Parametric Equations Lecture 96 Volumes of Revolution with Parametric Equations Lecture 97 Surface Areas and Arc Lengths of Parametric Equations Lecture 98 Polar Coordinates - Introduction Lecture 99 Converting Between Polar and Cartesian Form Lecture 100 Differentiating Polar Curves Lecture 101 How to Integrate Polar Curves Lecture 102 Integrating Polar Curves Section 14: First Order Differential Equations Lecture 103 What is a Differential Equation? Lecture 104 Separating Variables - Part 1 Lecture 105 Separating Variables - Part 2 Lecture 106 Separating Variables - Modelling - Part 1 Lecture 107 Separating Variables - Modelling - Part 2 Lecture 108 Integrating Factors Section 15: Second Order Differential Equations Lecture 109 Homogeneous Second Order Differential Equations - Part 1 Lecture 110 Homogeneous Second Order Differential Equations - Part 2 Lecture 111 Homogeneous Second Order Differential Equations - Part 3 Lecture 112 Non-Homogeneous Second Order Differential Equations Lecture 113 Boundary Conditions Lecture 114 Coupled Differential Equations - Part 1 Lecture 115 Coupled Differential Equations - Part 2 Lecture 116 Reducible Differential Equations - Part 1 Lecture 117 Reducible Differential Equations - Part 2 Data scientists,People studying calculus,Engineers,Financial analysts,Anyone looking to expand their knowledge of mathematics Homepage |