Curriculum Guidelines for Undergraduate Programs in Data Science

The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group consisted of 25 undergraduate faculty from a variety of institutions in the U.S., primarily from the disciplines of mathematics, statistics and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in Data Science

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

The dynamics of job creation and destruction for University graduates: why a rising unemployment rate can be misleading

This study uses a longitudinal matched employer-employee data set on the Portuguese economy to analyze systematic information on job creation and job destruction for university graduates, comparing it to other groups of workers. We find that the unemployment rate can provide an incomplete and misleading idea of the dynamics in labor demand and of the employment prospects for university graduates. The pessimistic view that seems to be popular nowadays, stating that the expansion of higher education may have gone too far and that investment in higher education has become a too risky business, possibly not worthwhile, as employers are no longer keen on recruiting newly graduate workers, does not find support in the empirical evidence for the Portuguese economy.unemployment, gross job flows

ABET Self-Study Report for the Environmental Resources Engineering Program at SUNY ESF

In 1971, the Department of Forest Engineering at the State University of New York College of Environmental Science and Forestry (ESF) began offering a BS degree in Forest Engineering (FEG). The BS in Forest Engineering was first accredited by ABET in 1982 and was most recently reviewed by the Engineering Accreditation Commission in 2006. This is the first ABET review for the BS program in Environmental Resources Engineering, which evolved out of the previously accredited BS in Forest Engineering

Simulation modelling and visualisation: toolkits for building artificial worlds

Simulations users at all levels make heavy use of compute resources to drive computational simulations for greatly varying applications areas of research using different simulation paradigms. Simulations are implemented in many software forms, ranging from highly standardised and general models that run in proprietary software packages to ad hoc hand-crafted simulations codes for very specific applications. Visualisation of the workings or results of a simulation is another highly valuable capability for simulation developers and practitioners. There are many different software libraries and methods available for creating a visualisation layer for simulations, and it is often a difficult and time-consuming process to assemble a toolkit of these libraries and other resources that best suits a particular simulation model. We present here a break-down of the main simulation paradigms, and discuss differing toolkits and approaches that different researchers have taken to tackle coupled simulation and visualisation in each paradigm

Chemical & Nuclear Engineering 2009 APR Self-Study & Documents

UNM Chemical & Nuclear Engineering APR self-study report, review team report, response to report, and initial action plan for Spring 2009, fulfilling requirements of the Higher Learning Commission

Experiments for a Computing Class

The Course Description for Numerical Computing for Chemical Engineers Course at Missouri University of Science and Technology States that Students Will Add to their Programming Skills by Exploring Numerical Computational Techniques for … Chemical Engineering Processes. the Challenge is that the Course is Taught Early in the Curriculum Before the Students Know What Those Chemical Engineering Processes Are. the Course Has Been Structured as a Flipped Class with Class Time Devoted to Solving Problems with the Numerical Tools. to Provide Relevance for the Material, an Experimental Component Has Been Added to the Course. in the Laboratory Sessions, the Students Conduct a Brief Experiment or Activity and Then Analyze that Process using the Computational Technique for the Week. the Activities and Experiments Take No More Than 10 Minutes to Conduct and Use Inexpensive Materials. in This Paper, the Author Will Present How the Course Was Flipped to Accommodate the Lab Sessions, Describe the Experiments Used in the Course, and Relay the Student Response to This Course