Dongwei Zhang
Overview
7
7
years of professional experience
1
1
Certification
Work History
09.2019 - 07.2020
Math Teacher
YuanBo Education Group
Shanghai
01.2015 - 12.2018
- Math teachers conduct instruction of college-level and high-school math courses.
Sales Consultant
New Oriental Education & Technology Group
Shanghai
01.2014 - 12.2014
- Consultants provide consultation for high school students who have the intention of studying abroad in the U.S..
Education
MAT 663 - Advanced Matrix Theory and Applications - undefined
University of Maryland
Current
County graduate courses - undefined
University of Maryland
Fall 2023
undefined
New Jersey Institute of Technology
05.2023
Vegas graduate courses - undefined
Spring 2022
10th - Mathematical Statistics
University of Nevada
05.2022
STAT 602 - Applied Statistics II Grade received - undefined
Montgomery
Fall 2021
List - undefined
Group
Spring 2021
undefined
Missouri State University
Fall 2020
Graduate - undefined
Missouri State University
07.2019, Spring 2019
SUNY - undefined
Summer 2019
B.S - Mathematics
Stony Brook University
August 2013
MAT 534 Algebra 1 （graduate course） - undefined
SUNY
2012
MAT 322 Analysis - undefined
2012
MAT 313 Abstract - undefined
Seattle University
2011
undefined
University of Wyoming
2010
Skills
- MATH 631 Linear Algebra, Grade received: A
- Linear systems of equations, matrix algebra, linear spaces, orthogonality, eigenvalues and eigenvectors
- Diagonalization, and matrix decomposition Applications
- Textbook: “Linear Algebra” by Peter Lax
- MATH 644 Regression Analysis Methods Grade received: A
- Regression models and the least squares criterion Simple and multiple linear regression Regression
- Diagnostics Confidence intervals and tests of parameters, regression and analysis of variance Variable
- Selection and model building Dummy variables and transformations, growth models Other regression
- Models such as logistic regression Using statistical software for regression analysis
- Textbook: “Applied Linear Regression Models” by Kutner
- MATH 645 Analysis I Grade received: A
- Lebesgue measure and integration, including the Lebesgue dominated convergence theorem and
- Riesz-Fischer theorem Elements of Hilbert spaces and Lp-spaces Fourier series and harmonic analysis
- Multivariate calculus
- Textbook: “Real Analysis” by Royden
Accomplishments
- Rencher, A.C
- And Christensen, W
- F
- (2012)
- Methods of Multivariate Analysis
- Banerjee, S
- And Roy, A
- Linear Algebra and Matrix Analysis for Statistics
- Harville, D
- A
- Matrix Algebra From a Statistician’s Perspective
- STAT 651 - Probability Theory Grade received: A-
- To build up the theoretical foundation of statistics, this course provides graduate-level non-measure theory probability trainings
- The theory will be developed along with examples and problems demonstration, which is suitable for master program and PhD program trainings
- Among the topics: axioms of probability, counting, conditional probability and independence, discrete and continuous random variables, sums of random variables, simple random walk and Poisson process, conditional expectation, univariate and multivariate distributions, multivariate normal distribution, and the distributions arising from the normal distribution, moments, transformations, inequalities, and convergence
- Textbook : Probability and Random Processes by Geoffrey Grimmett, and David Stirzaker
- New Jersey Institute of Technology graduate courses:
- Spring2023:
- MATH 745 Analysis II Grade received: A
- This is the second part of the two-semester course that introduces an application-minded student to foundations and modern techniques of real analysis
- Topics covered in this course are various function spaces, Fourier transform, distributions, Sobolev spaces and applications to partial differential equations and eigenvalue problems
- Textbook: “Real Analysis” by H.L
- Royden, and “Mathematical analysis”by Tom M
- Apostol
- MATH 665: Statistical Inference Grade received: A
- Review of sampling distributions
- Data reduction principles: sufficiency and likelihood
- Theory and methods of point estimation and hypothesis testing, interval estimation, nonparametric tests, introduction to linear models
- Textbook: “Mathematical Statistics” by Hogg, 10th
- Edition
- MATH 725 - Probability Theory - independent study Grade received: A
- Measure theoretic introduction to axiomatic probability
- Probability measures on abstract spaces and integration
- Random variables and distribution functions, independence, 0-1 laws, basic inequalities, modes of convergence and their interrelationships, Laplace-Stieltjes transforms and characteristic functions, weak and strong laws of large numbers, conditional expectation, discrete time martingales
- Textbook: “A Course in Probability Theory” by Kai Lai Chung
- Fall 2022:
Certification
- C++ programming, R programming
Relevant Coursework
Mathematical Statistics, Complex Analysis, Linear Algebra, Calculus, Abstract Algebra, Topology,
Differential Geometry, Functional Analysis, PDE, Applied Analysis, Real Analysis and Measure Theory,
Linear Regression and Linear Models, Design and Analysis of Experiments, Applied Multivariate
Statistical Methods, Probability, Statistical Inference.
Timeline
09.2019 - 07.2020
Math Teacher
YuanBo Education Group
01.2015 - 12.2018
Sales Consultant
New Oriental Education & Technology Group
01.2014 - 12.2014
MAT 663 - Advanced Matrix Theory and Applications - undefined
University of Maryland
County graduate courses - undefined
University of Maryland
undefined
New Jersey Institute of Technology
Vegas graduate courses - undefined
10th - Mathematical Statistics
University of Nevada
STAT 602 - Applied Statistics II Grade received - undefined
Montgomery
List - undefined
Group
undefined
Missouri State University
Graduate - undefined
Missouri State University
SUNY - undefined
B.S - Mathematics
Stony Brook University
MAT 534 Algebra 1 （graduate course） - undefined
SUNY
MAT 322 Analysis - undefined
MAT 313 Abstract - undefined
Seattle University
undefined
University of Wyoming
- C++ programming, R programming
Relevant Coursework
Mathematical Statistics, Complex Analysis, Linear Algebra, Calculus, Abstract Algebra, Topology,
Differential Geometry, Functional Analysis, PDE, Applied Analysis, Real Analysis and Measure Theory,
Linear Regression and Linear Models, Design and Analysis of Experiments, Applied Multivariate
Statistical Methods, Probability, Statistical Inference.
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