Siyi Chen

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EECS442-Computer Vision

Instructor: David Fouhey

Course Website

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VE401-Probability Statistics Methods

Instructor: Horst Hohberger

Notes:

Note1 Introduction to Probability

Note2 Discrete Random Variables

Note3 Continuous Random Variables

Note4 Multivariate Random Variables

Note5 Transformation of Random Variables and Reliability Note5 Additional

Note6 Sample and Data

Note7 Parameter Estimation

Note8 Hypothesis Testing

Note9 Single Sample Test

Note10 Comparison Test

Note11 Categorical Data

Note12 Simple Linear Regression

Note13 Multiple Linear Regression

Note of Midterm Part1

Note of Final Part1

Note of Final Part3

Demos:

Demo1 Visualization

Demo2 Central Limit Theorem

Demo3 Hypothesis Testing

Demo4 Simple Linear Regression

Demo5 Multiple Linear Regression

Demo6 Multilinear Model Sample

Demo7 ANOVA

VV286-Honorable Mathematics III:

Instructor: Horst Hohberger

Notes:

Note1 First Order Differantial Equations

Note2 Higher-order ODE & Systems of ODEs

Note3 Solving Linear System of Differential Equations

Note of Midterm1 Part1

Note4 Complex Analysis (Download pdf) (Informal Solutions)

Note5 Complex Analysis II (Download pdf) (Informal Solutions)

Note6 Laplace Transform (Download pdf) (Informal Solutions)

Note7 Power Series Solutions (Download pdf)

Midterm2 Part1 (Download pdf)

Note8 Bessel Equations (Download pdf)

Note9 Fourier Series (Download pdf) (Informal Solutions)

Final Part1 (Download pdf) (More About Bessel Function)

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Main Citation from: Lecture slides of Dr. Horst Hohberger