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