统计学理学硕士

在当前全球关注的领域中，研究最前沿的研究生与研究生一起学习，例如：种群遗传学，肌肉生理学和生物分子系统中的数学建模，高性能计算环境中的优化问题，控制理论中的偏微分方程，游泳现象，材料研究，微波加热和反问题，同时侧重于数据建模和分析的几何分析，与生物信息学和大数据有关的统计，多次比较，实验设计，线性模型，变化点问题，质量控制，工程可靠性和风险分析，概率（包括mar方法，随机微分方程，随机模拟和极值理论），矩阵代数（包括计算和理论分析），与教师准备相关的数学教育研究，技术使用和文化背景 先进的教学法，包括密码
Graduate students study with graduate faculty who are on the forefront of research in areas of current global interest such as: mathematical modeling in population genetics, muscle physiology, and biomolecular systems, optimization problems on high performance computing environments, partial differential equations in control theory, swimming phenomenon, materials research, microwave heating and inverse problems, geometric analysis with a parallel focus on applications to data modeling and analysis, statistics related to bioinformatics and large data, multiple comparisons, experimental design, linear models, change-point problems, quality control, engineering reliability and risk analysis, probability including martingale methods, stochastic differential equations, stochastic simulation, and extreme value theory, matrix algebra including both computational and theoretical analyses, mathematics education research associated with teacher preparation, use of technology, and culturally relevant pedagogy, discrete mathematics that includes cryptography, combinatorics, and number theory, and environmental mathematics such as contaminant transport in groundwater, population ecology, and predator-prey problems. Graduate students participate in graduate seminars and undertake collaborative and cross-disciplinary research.