首页 /研究 /Improving Student Learning Using Finite Element Learning Modules: An Update in Research Findings
OTHER

Improving Student Learning Using Finite Element Learning Modules: An Update in Research Findings

Ashland Brown, Daniel Jensen, Joseph J. Rencis, Kristin Wood, Kyle Watson, Chuan-Chiang Chen, Vladimir Labay, Ismail I. Orabi, Firas Akasheh, John Wood, Rachelle K. Hackett, Kathy Jackson, Jiancheng Liu, P.H. Schimpf, Alexis Pham, Krystian Zimowski, Kristin Moore Taylor

发表年份
2020
引用次数
3
访问权限
开放获取

摘要

Air Force Academy in 1994 while serving on active duty in the U.S. Air Force. After completing his Ph.D. in 2002, he returned to the Air Force Academy, where he has been on the faculty ever since. The current focus of Wood's research is the continued development of empirical testing methods using similitude-based approaches. This approach provides significant potential for increasing the efficiency of the design process through a reduction in required full-scale testing and an expansion of the projected performance profiles using empirically-based prediction techniques. Wood's research also includes the development of robotic ground and air vehicle systems using innovative conceptual design techniques for current technology implementations, as well as futuristic projections, applied in the framework of a senior capstone design course.

关键词

CapstoneImplementationComputer scienceProcess (computing)Focus (optics)Systems engineeringSoftware engineeringEngineeringProgramming languageAlgorithm

相关论文

查看 OTHER 分类全部论文