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