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faculty
Cheng Wang, PhD
Professor
Mathematics
Contact
508-999-8342
508-910-3917
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Liberal Arts 394G
Teaching
Programs
Programs
- Data Science BS, BS/MS
- Data Science Graduate Certificate
- Data Science MS
- Engineering and Applied Science PhD
- Mathematics BA, BS
Teaching
Courses
A graduate-level course on mathematical methods in science and engineering. Topics include: scalar and vector field theory, linear algebra, partial differential equations and integral transforms.
A calculus-based introduction to statistics. This course covers probability and combinatorial problems, discrete and continuous random variables and various distributions including the binomial, Poisson, hypergeometric normal, gamma and chi-square. Moment generating functions, transformation and sampling distributions are studied.
A special course to meet the needs of students for material not encountered in other courses. Topics dealt with require the approval of the departmental chairperson.
Research
Research awards
- $ 270,195 awarded by National Science Foundation for Collaborative Research: Accurate and Structure-Preserving Numerical Schemes for Variable Temperature Phase Field Models and Efficient Solvers
Research
Research interests
- Numerical analysis
- Numerical PDEs