online
Display PPT file online
«mathematics»: top viewed presentations in english
filters
all languages
in russian
in ukrainian
in english
in kazakh
all time
this month
this week
this day
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
Modeling non-stationary variables
Hypothesis Testing with Two Samples
The mean values
Probabilistic Models. Chapter 11
Correlation and Regression
Correlation and regression
Forecasting with bayesian techniques MP
Discrete mathematics. Sets
Numbers 11-20
Confidence interval estimation
Discrete Mathematics Sets
Boolean algebra. Logic operations. Formula and their conversion
Geometric Modeling - Parametric Representation of Synthetic Curves
N-ary relations and their applications. (Rosen 8.2)
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Matrices - Introduction. Lecture 1-3
Descriptive statistics
Combinational logic design
Hypothesis testing
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Exploring Assumptions Normality and Homogeneity of Variance
Index of Refraction
Exponentials and logarithms. Lecture 2.1
Sequential games. (Lecture 4)
Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Random variables – discrete random variables. Week 6 (2)
Theory without practice is empty, practice without theory is blind
Descriptive statistics. Elementary statistics. Larson. Farber. (Chapter 2)
Chapter 3. Polynomial and Rational Functions. 3.4 Zeros of Polynomial Functions
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
Evolutionary games. (Lecture 7)
Inverse of a Square Matrix
Normal Probability Distributions
Mixed strategy Nash equilibrium. (Lecture 3)
Modelling with Exponentials and Logarithms
Determinants
The travelling salesman problem
Recitation class
Using first derivative. Using second derivative
Statistical data processing
CENG 789 – Digital Geometry Processing
Object tracking using particle filter
Auctions. (Lecture 10)
Economics of pricing and decision making. (Lecture 1)
Types of Data – (continued). Week 2 (2)
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Measures of variation. Week 4 (2)
4.2 Introduction to Limits
Introduction to normal distributions
Probability theory. Probability Distributions Statistical Entropy
Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
Basic arithmetic
Measures of variation. Week 4 (1)
Discrete mathematics. Probability
Binary Variables
Sequential games. Empirical evidence and bargaining. (Lecture 5)
Simultaneous games. Oligopoly. (Lecture 2)
Repeated games. (Lecture 6)
Stolz-Cesaro Theorem
Matrix Equations and Systems of Linear Equations
Using numerical measures to describe data. Measures of the center. Week 3 (2)
Differentiation. A “derivative”,
Trigonometriýa
Scalars, vectors and tensors
Mechanism design. (Lecture 9)
Empirical rule - Probabilities. Week 5 (1)
Chapter 1. Polynomial and Rational Functions. 3.3. Dividing Polynomials; Remainder and Factor Theorems
Introductory Statistics 1. AP Statistics
Modelling with exponentials and logarithms
Differentiation. Sketching functions
Communication and signaling. (Lecture 8)
Introduction to Statistics
Types of Data – categorical data. Week 2 (1)
Displaying data – shape of distributions. Week 3 (1)
Probability Random Variables Preparatory Notes
3.5 Trigonometry 5
Elements of probability. (Lecture 3)
Time quiz
Random variables
Introduction to Statistics. Week 1 (1)
Probabilities. Week 5 (2)
Matlab Linear Programming
Vectors and the geometry of space
Ch8: Hypothesis Testing (2 Samples)
Dense Linear Algebra: History and Structure, Parallel Matrix Multiplication
Basics of functions and their graphs
Mathematics for Computing 2016-2017. Lecture 1: Course Introduction and Numerical Representation
Correlation Regression
Mathematics for Computing. Lecture 2: Logarithms and indices
The Gilbert-Johnson-Keerthi (GJK) Algorithm
Probability Concepts
Graph transformation 1
Math end algebra. Vector
Arithmetic fundamentals of number systems
Evolutionary game theory. (Lecture 11)
«
0
1
2
»
English
Русский
Rules