How Students View the Role of Faculty Advisors in the SWE Organization

The Society of Women Engineers (SWE) collegiate sections attract many men and women to the society, and they can be among the largest and most active student organizations on the university campuses. A key factor to boost membership is the active involvement of faculty advisors, who serve as the liaison between SWE collegiate sections, the university, the National SWE organization, and professional SWE members. A group of SWE faculty advisors previously conducted a survey of faculty advisors and counselors, with advisors and counselors aggregated in the results, to determine what aspects of their role they consider most significant, and how they engage with the students. The study showed that faculty advisors play an important role in providing continuity to the section, participation in and understanding of the larger organization, and in mentoring students on both general leadership and SWE leadership. This paper examines how students view the role of their faculty advisor in their SWE collegiate section. The objectives of this study are to understand the challenges that collegiate sections face and what types of support they need from their faculty advisor. A survey about the level of importance of different roles of faculty advisors was conducted. Additional ways students feel their faculty advisor could help them was also addressed. The data was analyzed to identify key factors that faculty advisors should consider while serving in these roles within student sections. The findings were then compared to the results of the self-assessment of the faculty advisors

Non-stationary covariance function modelling in 2D least-squares collocation

Standard least-squares collocation (LSC) assumes 2D stationarity and 3D isotropy, and relies on a covariance function to account for spatial dependence in the ob-served data. However, the assumption that the spatial dependence is constant through-out the region of interest may sometimes be violated. Assuming a stationary covariance structure can result in over-smoothing of, e.g., the gravity field in mountains and under-smoothing in great plains. We introduce the kernel convolution method from spatial statistics for non-stationary covariance structures, and demonstrate its advantage fordealing with non-stationarity in geodetic data. We then compared stationary and non-stationary covariance functions in 2D LSC to the empirical example of gravity anomaly interpolation near the Darling Fault, Western Australia, where the field is anisotropic and non-stationary. The results with non-stationary covariance functions are better than standard LSC in terms of formal errors and cross-validation against data not used in the interpolation, demonstrating that the use of non-stationary covariance functions can improve upon standard (stationary) LSC