Holistic Numerical Methods: Unabridged

计算机科学（31）该项目正在开发五个教育模块，以教授以下数值方法主题：偏微分方程，优化，快速傅立叶变换，微分和科学计算基础。 在先前的支持下，创建了六个额外的模块：非线性方程，线性方程组，插值，回归，积分和常微分方程。 该项目正在为所有11个模块开发在线视听内容，并为以下专业定制每个模块：化学，土木，计算机，通用，电气，工业和机械，以及数学课程：Maple，Mathcad，Mathematica和Matlab。 教学模块正在设计，以提高学生的教育经验，包括审查的先决条件数学背景资料，演示的需要和使用的数值解决方案，通过现实生活中的例子，多媒体说明算法，并解释的优点，陷阱，错误，收敛标准的数值技术。 正在使用定量和定性的形成性和总结性评估技术评估这些模块对学生学习、学生满意度和每所机构接受程度的影响。 目前正在使用自我维持的项目材料传播渠道，其中包括Maple、Mathcad、Mathematica和Matlab软件包和一本教科书的应用中心。

Computer Science (31)This project is developing five educational modules to teach the following numerical methods topics: Partial Differential Equations, Optimization, Fast Fourier Transforms, Differentiation, and Fundamentals of Scientific Computing. Under prior support six additional modules: Nonlinear Equations, Simultaneous Linear Equations, Interpolation, Regression, Integration, and Ordinary Differential Equations were created. The project is developing online audiovisual content for all eleven modules and customizing each module for the following majors: Chemical, Civil, Computer, General, Electrical, Industrial, and Mechanical, and mathematics programs: Maple, Mathcad, Mathematica, and Matlab. Instructional modules are being designed to enhance the student educational experience by including reviews of the prerequisite mathematical background information, demonstrations of the need for and use of numerical solutions through real-life examples, multimedia illustrating the algorithms, and explanations of the advantages, pitfalls, errors, and convergence criteria for the numerical techniques. The impact of the modules on student learning, student satisfaction, and acceptance at each institution is being evaluated using formative and summative evaluation techniques that are quantitative as well as qualitative. Self-sustaining dissemination avenues for project materials are being used which include the application centers for the software packages Maple, Mathcad, Mathematica, and Matlab and a textbook.