数理统计学
Course category数学科学学院研究生课程(19-20下)
Chapters 1 and 2 give the reader the necessary background material on probability and distribution theory. Chapter 3 discusses the most
widely used discrete and continuous probability distributions. Chapter 4 contains topics in basic inference as described above. Chapter 5 presents large sample theory on convergence in probability and distribution and ends with the Central Limit Theorem. Chapter 6 provides a complete inference (estimation and testing) based on maximum likelihood theory. Chapters 7–8 contain material on sufficient statistics and optimal tests of hypotheses.
Teacher: 金华
Numerical Analysis (数值分析)
Course category数学科学学院研究生课程(19-20下)
《数值分析》是华南师范大学数学科学学院 数学一级学科 学术型硕士研究生 的专业课程, 它是所有学科学位课程中唯一涉及到科学计算的课程,它也是国内外数学专业研究生学科课程中占据着重要意义的课程之一。
The course will introduce the fundamentals of numerical methods for engineering and applied science streams. The goal of the course is to provide a broad background in numerical methods with theoretical discussion. Topics include errors in numerical computation, root finding for algebraic (linear and non-linear equations) and transcendental equation, interpolation, Curve Fitting, Numerical Differentiation, Numerical Integration and Eigenvalues and Eigenvectors.
Teacher: 钟柳强