In this article, we investigate the graduate curricula of political science programs and 122 Ph.D.-granting political science programs in the United States and how they seek to prepare political science teachers.We first investigate whether the department offers a dedicated political science course at the graduate level on college teaching, and whether the presence of this class correlates with the size of the department, the size of the university, the ranking of the department, and so on. We find that whether a program offers a graduate course on teaching is inversely related to the research productivity of a department, and that departments at public institutions are more likely to offer such courses than are departments at private institutions. Second, we conduct content analysis of a sample of syllabi from departments that offer such courses to ascertain the kinds of topics that are covered. Finally, we briefly describe some model programs that seek to prepare graduate students for teaching careers that integrate graduate student teacher training throughout the Ph.D. program.I n this article, we investigate the graduate curriculum of political science programs across 122 Ph.D.-granting political science programs in the United States and examine whether the programs offer a graduate course on teaching political science. Little or no systematic work has been conducted that investigates the proportion of Ph.D. programs that overtly prepare their graduates for teaching in the profession. In conducting such an examination, we first investigate whether the department offers a dedicated course at the graduate level on college teaching, and whether this offering correlates with the size of the department, the size of the university, and the ranking of the department, among other factors. Second, we conduct a content analysis of a sample of syllabi from departments that offer such courses to ascertain the kinds of topics that are covered. Finally, we briefly describe some model programs that seek to prepare graduate students for teaching careers that integrate graduate student teacher training throughout the Ph.D. program. This project purports to fill an important gap in our understanding of how our discipline as a whole trains future political science teachers. LITERATUREOver the years, there has been an increasing call to improve the quality of graduate education in the social sciences. In particular, many studies have indicated that in the social sciences, graduate programs have failed to adequately prepare doctoral students for the changing character of higher education, particularly in terms of teacher training for careers at institutions that emphasize undergraduate teaching. Indeed, there is considerable evidence that most available faculty positions are located at institutions that primarily focus on teaching. T h e P r o f e s s i o n .. ......................................................................................................................................................................
Further development of a combustion Large Eddy Simulation (LES) code for the design of advanced gaseous combustion systems is described in this sixth quarterly report. CFD Research Corporation (CFDRC) is developing the LES module within the parallel, unstructured solver included in the commercial CFD-ACE+ software. In this quarter, in-situ adaptive tabulation (ISAT) for efficient chemical rate storage and retrieval was implemented and tested within the Linear Eddy Model (LEM). ISAT type 3 is being tested so that extrapolation can be performed and further improve the retrieval rate. Further testing of the LEM for subgrid chemistry was performed for parallel applications and for multi-step chemistry. Validation of the software on backstep and bluff-body reacting cases were performed. Initial calculations of the SimVal experiment at Georgia Tech using their LES code were performed. Georgia Tech continues the effort to parameterize the LEM over composition space so that a neural net can be used efficiently in the combustion LES code. A new and improved Artificial Neural Network (ANN), with log-transformed output, for the 1-step chemistry was implemented in CFDRC's LES code and gave reasonable results. This quarter, the 2 nd consortium meeting was held at CFDRC.Next quarter, LES software development and testing will continue. Alpha testing of the code will continue to be performed on cases of interest to the industrial consortium. Optimization of subgrid models will be pursued, particularly with the ISAT approach. Also next quarter, the demonstration of the neural net approach, for multi-step chemical kinetics speed-up in CFD-ACE+, will be accomplished.ii 8321/5
It is expected that in the 21 st century the Nation will continue to rely on fossil fuels for electricity, transportation, and chemicals. It will be necessary to improve both the thermodynamic efficiency and environmental impact performance of fossil fuel utilization. General Electric Energy and Environmental Research Corporation (GE EER) has developed an innovative fuel-flexible Advanced Gasification-Combustion (AGC) concept to produce H 2 and sequestration-ready CO 2 from solid fuels. The AGC module offers potential for reduced cost and increased energy efficiency relative to conventional gasification and combustion systems. GE EER was awarded a Vision-21 program from U.S. DOE NETL to develop the AGC technology. Work on this three-year program started on October 1, 2000. The project team includes GE EER, California Energy Commission, Southern Illinois University at Carbondale, and T. R. Miles, Technical Consultants, Inc.In the AGC technology, coal/opportunity fuels and air are simultaneously converted into separate streams of (1) pure hydrogen that can be utilized in fuel cells, (2) sequestration-ready CO 2 , and (3) high temperature/pressure oxygen-depleted air to produce electricity in a gas turbine. The process produces near-zero emissions and, based on preliminary modeling work in the first quarter of this program, has an estimated process efficiency of approximately 67% based on electrical and H 2 energy outputs relative to the higher heating value of coal. The three-year R&D program will determine the operating conditions that maximize separation of CO 2 and pollutants from the vent gas, while simultaneously maximizing coal conversion efficiency and hydrogen production. The program integrates lab-, bench-and pilot-scale studies to demonstrate the AGC concept.
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