Derivatives - Points of local maxima and local minima
Definition of a local maximum and a local minimum
Key points on the graph of a function
Determining local maxima and local minima algebraically
Identifying critical points
Using the first derivative test
If f’(x) changes sign from positive to negative, there is a local maximum at x.
If f’(x) changes sign from negative to positive, there is a local minimum at x.
Using the second derivative test
If f’’(x) > 0, there is a local minimum at x.
If f’’(x) < 0, there is a local maximum at x.
Examples and applications
Finding local extrema on real-world problems
Function optimization
Exercise problems to reinforce understanding
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Derivatives - Points of local maxima and local minima (Contd.)
Critical points in terms of derivatives
f’(x) = 0 or f’(x) does not exist
Global maxima and global minima
Definition and difference from local extrema
The extreme value theorem
Identifying global extrema on a closed interval
Checking the function values at the endpoints and critical points
Absolute maxima and absolute minima
Examples and applications
Solving optimization problems
Economic analysis using derivatives
Exercise problems to further enhance understanding
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Integration - Basics
Introduction to integration
Definition and purpose
Connection to differentiation
Indefinite and definite integrals
Notation and meanings
Relationship between indefinite and definite integrals
Antiderivatives
Rules of integration
Constant rule
Power rule
Sum and difference rules
Constant multiple rule
Examples of integrating polynomials
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Integration - Basics (Contd.)
Examples of integrating exponential functions
Examples of integrating trigonometric functions
Examples of integrating logarithmic functions
Integration by substitution
Procedure and steps involved
Examples to illustrate the concept
Integration by parts
Formula and application
Examples to demonstrate the method
Exercises to practice integration techniques
Real-world applications of integration
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Integration - Techniques
Integration by partial fractions
Decomposition of rational functions
Examples to illustrate the method
Integrating using trigonometric substitutions
Integration of rational functions using long division
Integration of rational functions using synthetic division
Integration of algebraic functions using logarithmic substitution
Trigonometric integrals
Formulas and techniques for integrating trigonometric functions
Complex integration problems
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Differential Equations - Introduction
Definition of differential equation
Types of differential equations
Ordinary differential equations (ODE)
Partial differential equations (PDE)
Order and degree of differential equations
Solving differential equations
Analytically and numerically
Initial value problems (IVP)
Definition and significance
Solving IVP using integration techniques
Examples of solving first-order differential equations
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Differential Equations - First-Order Equations
Separable differential equations
Linear differential equations
Solutions using integrating factor
Homogeneous and non-homogeneous equations
Bernoulli differential equations
Substitution method for solving
Exact differential equations
Conditions and solutions
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Differential Equations - Second-Order Equations
Definition and examples of second-order differential equations
Homogeneous linear differential equations with constant coefficients
Finding the characteristic equation and roots
Solutions based on the nature of roots
Real and distinct roots
Complex roots
Repeated roots
Non-homogeneous linear differential equations
Solving using the method of undetermined coefficients or variation of parameters
Examples illustrating the concepts
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Differential Equations - Applications
Applications of differential equations in physics, engineering, and economics
Modeling population growth
Logistic growth model
Exponential growth model
Newton’s Law of Cooling
Modeling temperature change
Harmonic motion and oscillations
Examples of harmonic motion
Simple harmonic motion equations
Predator-prey models
Derivatives - Points of local maxima and local minima
Definition of a local maximum and a local minimum
Key points on the graph of a function
Determining local maxima and local minima algebraically
Identifying critical points
Using the first derivative test
Slide 12:
If f’(x) changes sign from positive to negative, there is a local maximum at x.
If f’(x) changes sign from negative to positive, there is a local minimum at x.
Using the second derivative test
If f’’(x) > 0, there is a local minimum at x.
If f’’(x) < 0, there is a local maximum at x.
Slide 13:
Examples and applications
Finding local extrema on real-world problems
Function optimization
Exercise problems to reinforce understanding
Critical points in terms of derivatives
Slide 14:
f’(x) = 0 or f’(x) does not exist
Global maxima and global minima
Definition and difference from local extrema
The extreme value theorem
Identifying global extrema on a closed interval
Slide 15:
Checking the function values at the endpoints and critical points
Absolute maxima and absolute minima
Definition and examples
Examples and applications
Solving optimization problems
Slide 16:
Economic analysis using derivatives
Exercise problems to further enhance understanding
Integration - Basics
Introduction to integration
Definition and purpose
Connection to differentiation
Slide 17:
Indefinite and definite integrals
Notation and meanings
Relationship between indefinite and definite integrals
Antiderivatives
Definition and examples
Rules of integration
Slide 18:
Constant rule
Power rule
Sum and difference rules
Constant multiple rule
Examples of integrating polynomials
Examples of integrating exponential functions
Slide 19:
Examples of integrating trigonometric functions
Examples of integrating logarithmic functions
Integration by substitution
Procedure and steps involved
Examples to illustrate the concept
Integration by parts
Slide 20:
Formula and application
Examples to demonstrate the method
Exercises to practice integration techniques
Real-world applications of integration
Differential Equations - Introduction
Definition of differential equation
Types of differential equations
Differential Equations - First-Order Equations (Contd.)
Separable differential equations
Linear differential equations
Solutions using integrating factor
Homogeneous and non-homogeneous equations
Bernoulli differential equations
Substitution method for solving
Exact differential equations
Differential Equations - Second-Order Equations (Contd.)
Definition and examples of second-order differential equations
Homogeneous linear differential equations with constant coefficients
Finding the characteristic equation and roots
Solutions based on the nature of roots
Real and distinct roots
Complex roots
Repeated roots
Non-homogeneous linear differential equations
Solving using the method of undetermined coefficients or variation of parameters
Examples illustrating the concepts
Differential Equations - Applications (Contd.)
Applications of differential equations in physics, engineering, and economics
Modeling population growth
Logistic growth model
Exponential growth model
Newton’s Law of Cooling
Modeling temperature change
Harmonic motion and oscillations
Examples of harmonic motion
Simple harmonic motion equations
Predator-prey models
Trigonometry - Basic Concepts
Introduction to trigonometry
Definition of trigonometric functions: sine, cosine, tangent
Radian measure and degree measure
Unit circle and its significance
Graphs of trigonometric functions
Slide 25:
Properties of trigonometric functions
Periodicity and amplitude
Even and odd functions
Transformations of trigonometric functions
Trigonometric identities and equations
Slide 26:
Pythagorean identities
Reciprocal identities
Quotient identities
Sum and difference formulas
Double angle formulas
Slide 27:
Solving trigonometric equations
Trigonometric values for special angles
Trigonometric functions of complementary angles
Applications of trigonometry in real-world problems
Graphing trigonometric functions
Slide 28:
Amplitude, period, and phase shift
Finding the equation of a trigonometric function given its graph
Solving trigonometric equations using identities and graphs
Exercise problems to reinforce understanding
Probability - Basic Concepts
Introduction to probability
Sample space and events
Probability of an event
Laws of probability
Addition rule
Multiplication rule
Complementary rule
Slide 30:
Independent and dependent events
Conditional probability
Bayes’ theorem
Permutations and combinations
Factorial notation
Probability distributions
Resume presentation
Derivatives - Points of local maxima and local minima Definition of a local maximum and a local minimum Key points on the graph of a function Determining local maxima and local minima algebraically Identifying critical points Using the first derivative test If f’(x) changes sign from positive to negative, there is a local maximum at x. If f’(x) changes sign from negative to positive, there is a local minimum at x. Using the second derivative test If f’’(x) > 0, there is a local minimum at x. If f’’(x) < 0, there is a local maximum at x. Examples and applications Finding local extrema on real-world problems Function optimization Exercise problems to reinforce understanding
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