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Лучшие презентации на тему «Математика» на английском
Numbers 11-20
Numbers 11-20
Chiziqli algebraik tenglamalar sistemasini Kramer
Chiziqli algebraik tenglamalar sistemasini Kramer
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Matrices - Introduction. Lecture 1-3
Matrices - Introduction. Lecture 1-3
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
Correlation and Regression
Correlation and Regression
Modeling non-stationary variables
Modeling non-stationary variables
Determinants
Determinants
The mean values
The mean values
Geometric Modeling - Parametric Representation of Synthetic Curves
Geometric Modeling - Parametric Representation of Synthetic Curves
Confidence interval estimation
Confidence interval estimation
Hypothesis Testing with Two Samples
Hypothesis Testing with Two Samples
Correlation and regression
Correlation and regression
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Probabilistic Models. Chapter 11
Probabilistic Models. Chapter 11
Normal Probability Distributions
Normal Probability Distributions
Descriptive statistics
Descriptive statistics
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Hypothesis testing
Hypothesis testing
Boolean algebra. Logic operations. Formula and their conversion
Boolean algebra. Logic operations. Formula and their conversion
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Discrete mathematics. Sets
Discrete mathematics. Sets
Scalars, vectors and tensors
Scalars, vectors and tensors
Introduction to normal distributions
Introduction to normal distributions
Inverse of a Square Matrix
Inverse of a Square Matrix
Measures of variation. Week 4 (2)
Measures of variation. Week 4 (2)
Forecasting with bayesian techniques MP
Forecasting with bayesian techniques MP
Random variables – discrete random variables. Week 6 (2)
Random variables – discrete random variables. Week 6 (2)
Binary Variables
Binary Variables
Exploring Assumptions Normality and Homogeneity of Variance
Exploring Assumptions Normality and Homogeneity of Variance
Matlab Linear Programming
Matlab Linear Programming
Mixed strategy Nash equilibrium. (Lecture 3)
Mixed strategy Nash equilibrium. (Lecture 3)
Index of Refraction
Index of Refraction
Using first derivative. Using second derivative
Using first derivative. Using second derivative
N-ary relations and their applications. (Rosen 8.2)
N-ary relations and their applications. (Rosen 8.2)
Ch8: Hypothesis Testing (2 Samples)
Ch8: Hypothesis Testing (2 Samples)
4.2 Introduction to Limits
4.2 Introduction to Limits
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Combinational logic design
Combinational logic design
Matrices: Basic Operations
Matrices: Basic Operations
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Exponentials and logarithms. Lecture 2.1
Exponentials and logarithms. Lecture 2.1
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Introduction to Statistics
Introduction to Statistics
Matrix Equations and Systems of Linear Equations
Matrix Equations and Systems of Linear Equations
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Review of Basic Concepts in Statistics
Review of Basic Concepts in Statistics
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Types of Data – (continued). Week 2 (2)
Types of Data – (continued). Week 2 (2)
Empirical rule - Probabilities. Week 5 (1)
Empirical rule - Probabilities. Week 5 (1)
Method of undetermined coefficients
Method of undetermined coefficients
Discrete Mathematics Sets
Discrete Mathematics Sets
Sampling in quantitative research
Sampling in quantitative research
Vectors. Lecture 9
Vectors. Lecture 9
Inscribed and circumscribed circles of a triangle
Inscribed and circumscribed circles of a triangle
The binomial model for option pricing
The binomial model for option pricing
Numeral system
Numeral system
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Probability Random Variables Preparatory Notes
Probability Random Variables Preparatory Notes
Probabilities. Week 5 (2)
Probabilities. Week 5 (2)
Stolz-Cesaro Theorem
Stolz-Cesaro Theorem
Math end algebra. Vector
Math end algebra. Vector
Solving linear recurrence relations
Solving linear recurrence relations
Trigonometriýa
Trigonometriýa
Probability theory. Probability Distributions Statistical Entropy
Probability theory. Probability Distributions Statistical Entropy
Measures of variation. Week 4 (1)
Measures of variation. Week 4 (1)
Auctions. (Lecture 10)
Auctions. (Lecture 10)
Economics of pricing and decision making. (Lecture 1)
Economics of pricing and decision making. (Lecture 1)
Modelling with Exponentials and Logarithms
Modelling with Exponentials and Logarithms
Сумма и разность синусов и косинусов
Сумма и разность синусов и косинусов
Sequential games. (Lecture 4)
Sequential games. (Lecture 4)
Displaying data – shape of distributions. Week 3 (1)
Displaying data – shape of distributions. Week 3 (1)
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Repeated games. (Lecture 6)
Repeated games. (Lecture 6)
Basic arithmetic
Basic arithmetic
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
The Gilbert-Johnson-Keerthi (GJK) Algorithm
The Gilbert-Johnson-Keerthi (GJK) Algorithm
Volume
Volume
Random variables
Random variables
Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication
Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Linear Regression. Regression model evaluation metrics. Lecture 5
Linear Regression. Regression model evaluation metrics. Lecture 5
Practical application of the method of Kona-Shema. Pseudopotentials method
Practical application of the method of Kona-Shema. Pseudopotentials method
Types of Data – categorical data. Week 2 (1)
Types of Data – categorical data. Week 2 (1)
Simultaneous games. Oligopoly. (Lecture 2)
Simultaneous games. Oligopoly. (Lecture 2)
CENG 789 – Digital Geometry Processing
CENG 789 – Digital Geometry Processing
Differentiation. A “derivative”,
Differentiation. A “derivative”,
Introduction to vectors
Introduction to vectors
Vectors and the geometry of space. Lecture 10.b
Vectors and the geometry of space. Lecture 10.b
Introductory Statistics 1. AP Statistics
Introductory Statistics 1. AP Statistics
The travelling salesman problem
The travelling salesman problem
The Aerodynamics Of A Single-Blade Rotor
The Aerodynamics Of A Single-Blade Rotor
GCSE Circle Theorems
GCSE Circle Theorems
Rehabilitation
Rehabilitation
Vectors and the geometry of space
Vectors and the geometry of space
Intro to Geometric Modeling (GM)
Intro to Geometric Modeling (GM)
Methods of proof
Methods of proof
Trigonometry 3
Trigonometry 3
Probability Concepts
Probability Concepts
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