A Method for Producing Graduate Level Scholars in Classical Performance

Predicting Graduate-level Performance from Undergraduate Achievements

One of the principal concerns in graduate admissions is how future performance in graduate studies may be predicted from a candidate’s undergraduate achievements. In this study, we examined the statistical relationship between B.Sc. and M.Sc. achievements using a dataset that is not subject to an admission-induced selection bias. Our analysis yielded three insights. First, we were able to expla...

passivity in waiting for godot and endgame: a psychoanalytic reading

this study intends to investigate samuel beckett’s waiting for godot and endgame under the lacanian psychoanalysis. it begins by explaining the most important concepts of lacanian psychoanalysis. the beckettian characters are studied regarding their state of unconscious, and not the state of consciousness as is common in most beckett studies. according to lacan, language plays the sole role in ...

Preparing Future Faculty Taught by Graduate and Postdoctoral Teacher-scholars

COLLEGE SCIENCE TEACHING A lthough the majority of graduate students pursuing doctoral-level degrees in the sciences is eventually planning for a faculty career in academics (Henderson, Clarke, and Reynolds 1996; Henderson, Clarke, and Woods 1998; Sanderson and Dugoni 1999), they leave their doctoral programs with very little experience in the broad, multidisciplinary composition of most classr...

Notes for a graduate-level course in asymptotics for statisticians

A BINARY LEVEL SET METHOD FOR STRUCTURAL TOPOLOGY OPTIMIZATION

This paper proposes an effective algorithm based on the level set method (LSM) to solve shape and topology optimization problems. Since the conventional LSM has several limitations, a binary level set method (BLSM) is used instead. In the BLSM, the level set function can only take 1 and -1 values at convergence. Thus, it is related to phase-field methods. We don’t need to solve the Hamilton-Jac...