Developing a Graduate Master's Degree Program in Engineering Technology: Overview of Program Objectives, Structure and Impact

A study was conducted to outline the state of graduate master’s degree programs in engineering technology that are currently offered in the nation and particularly in the state of Texas, and to reflect on their core learning objectives, structure, demand, demographics, and impact. The trends identified were discussed in light of assembling a Master of Science in Engineering Technology (MSET) degree with a concentration in Manufacturing and Mechanical Engineering Technology (MMET) within the department of Engineering Technology & Industrial Distribution (ETID) at Texas A&M University (TAMU). Though Bachelor’s degrees in engineering technology are generally larger in terms of the numbers of programs offered as well as in enrollment, graduate master’s degrees in engineering technology are becoming increasingly popular, especially since they offer a unique hands-on and industry-focused education at a graduate level that many regional employers seek. In this paper, the commonalities among these currently offered programs were outlined and discussed, especially in terms of the makeup of the program structure, courses, and learning objectives; these were then contrasted with aspects of the degree program currently being developed at TAMU. Further, a brief assessment of the potential job market awaiting the graduates from this program, as well as the expected student demand was presented. Future work includes continued refinement of the curriculum and other program details by drawing upon the best attributes of currently offered similar programs.Cockrell School of Engineerin

Evolving Roles of Librarians: Juggling Print and Electronic Collections While Making Meaningful Connections

The traditional role of librarians has long been to support the university’s needs through instruction, collection development, and research assistance. Pittsburg State University’s challenge has been to balance our print and electronic collections at a university whose programs sometimes do not draw enough on library resources while also creating meaningful connections with students and faculty. In an effort to increase the relevancy of our collections and create meaningful connections with the university community, we have been actively creating opportunities for patrons to create content in the library. This has allowed users to engage with library resources and services in a new and different way while helping to shape the space. The goal is to make users content creators and empower them to be invested in the future development of the library space. This approach allows us to share with students, faculty, and staff the wide variety of library resources and services that can be both informative and fun

Stochastic evolution equations with random generators

This is the published version, also available here: http://dx.doi.org/10.1214/aop/1022855415.We prove the existence of a unique mild solution for a stochastic evolution equation on a Hilbert space driven by a cylindrical Wiener process. The generator of the corresponding evolution system is supposed to be random and adapted to the filtration generated by the Wiener process. The proof is based on a maximal inequality for the Skorohod integral deduced from the Itô’s formula for this anticipating stochastic integral

Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation

The use of Shap scores has become widespread in Explainable AI. However, their computation is in general intractable, in particular when done with a black-box classifier, such as neural network. Recent research has unveiled classes of open-box Boolean Circuit classifiers for which Shap can be computed efficiently. We show how to transform binary neural networks into those circuits for efficient Shap computation. We use logic-based knowledge compilation techniques. The performance gain is huge, as we show in the light of our experiments.Comment: Conference submission. It replaces the previously uploaded paper "Opening Up the Neural Network Classifier for Shap Score Computation", by the same authors. This version considerably revised the previous on

Evolving Roles of Librarians: Juggling Print and Electronic Collections While Making Meaningful Connections

The traditional role of librarians has long been to support the university’s needs through instruction, collection development, and research assistance. Pittsburg State University’s challenge has been to balance our print and electronic collections at a university whose programs sometimes do not draw enough on library resources while also creating meaningful connections with students and faculty. In an effort to increase the relevancy of our collections and create meaningful connections with the university community, we have been actively creating opportunities for patrons to create content in the library. This has allowed users to engage with library resources and services in a new and different way while helping to shape the space. The goal is to make users content creators and empower them to be invested in the future development of the library space. This approach allows us to share with students, faculty, and staff the wide variety of library resources and services that can be both informative and fun