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Boolean algebra. Logic operations. Formula and their conversion
Determinants
Numbers 11-20
Statistics. Data Description. Data Summarization. Numerical Measures of the Data
Normal Probability Distributions
Matrices - Introduction. Lecture 1-3
Vectors. Lecture 9
Discrete mathematics. Sets
Propositional logic
Inverse of a Square Matrix
Parallelepiped rectangular solid cube. Some special prisms
Angles. Types of angles
Geometric Transformations
Discrete mathematics
Mathematics for Computing. Lecture 2: Logarithms and indices
Math end algebra. Vector
Сумма и разность синусов и косинусов
Wide-angle X-ray scattering (WAXS) geometries. In-plane diffraction geometry
Basics of functions and their graphs
Hypothesis Testing with Two Samples
Hypothesis testing
Geometric Modeling - Parametric Representation of Synthetic Curves
Development of an information system for evaluating the work of production employees based on statistical analysis
Measuring Inequality. An examination of the purpose and techniques of inequality measurement
Exponentials and logarithms. Lecture 2.1
Modelling with exponentials and logarithms
Trigonometry 1
Exploring Assumptions Normality and Homogeneity of Variance
Trigonometry 2
Solution Methods Applied Computational Fluid Dynamics. Lecture 5
T PM N 2019/2020 : Solving the Schr¨odingerequation
Trigonometry 3
GCSE Circle Theorems
Решение уравнений sinx=a. Понятие арксинуса числа
Преобразование сумм тригонометрических функций в произведения
Math. Game
The 79th William Lowell Putnam Mathematical
The Simple Regression Model
Matrices: Basic Operations
Modeling non-stationary variables
Confidence interval and Hypothesis testing for population mean (µ) when is known and n (large)
Профильный уровень. Типовые экзаменационные варианты - под редакцией И. В. Ященко
The mean values
Descriptive statistics. Frequency distributions and their graphs. (Section 2.1)
Confidence interval estimation
Graphs and Multigraphs
Introduction to vectors
Dividing polynomials
Correlation Analysis and Covariance
4.2 Introduction to Limits
Manipulator Kinematics, Link Description, Link Connections
The discoveries of Pythagoras
Combinatorics. Pascal’s identity and triangle
ორი სიბრტყის თანაკვეთა
Cmpe 466 computer graphics. 3D geometric transformations. (Сhapter 9)
N-ary relations and their applications. (Rosen 8.2)
Economics of pricing and decision making. (Lecture 1)
Mixed strategy Nash equilibrium. (Lecture 3)
Volume
Chapter 3. Polynomial and Rational Functions. 3.1 Quadratic Functions
Chapter 3. Polynomial and Rational Functions. 3.2 Polynomial Functions and Their Graphs
Quiz 1
Probabilistic Models. Chapter 11
linear octree
Differential calculus of the function of one variable
Introduction to Statistics. Week 1 (1)
Empirical rule - Probabilities. Week 5 (1)
Conditional Probabilities Statistical Independence. Week 6 (1)
Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
Time series models. Static models and models with lags
Solving Systems of Equations using Elimination
Descriptive statistics
Clipping summary
Ch8: Hypothesis Testing (2 Samples)
Basic arithmetic
Coordinate Geometry
Matrix Equations and Systems of Linear Equations
The Chain Rule
Pyramid. Right and Oblique Pyramids
Mathematical Induction
Scalars, vectors and tensors
Types of vectors
Gauss method
Functions and their graphs
Binary Variables
Transformations of block diagram
Basic dynamic elements
Trigonometric identities
Relational algebra. Lecture 8
Relational algebra
Graph transformation 1
Trigonometry 4. Lecture Outline
System of linear equations. Lecture 4-5
4.4 Binomial expansions
3.5 Trigonometry 5
Using first derivative. Using second derivative
Differentiation. Sketching functions
Review of Basic Concepts in Statistics
Introduction to Vectors. Lecture 7
Linear Regression. Linear Regression with Gradient Descent. Regularization. Lecture 4.2
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