962 resultados para University of Minnesota.


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"Conducted by University of Minnesota, Bureau of Biological Survey, Minnesota Department of Conservation."

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1919 football squad posed on steps of Field House, from 1919 Minnesota game program

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Back Row: James Johns, Irwin Uteritz, Harold MacGregor, John Gunther, Waldeck Levi, Homer(?) Martin, Charles Kreis, Stephen Garfield, Walter Kreinheder, Frank Culver, Herndon Taylor, Walter Dean, John Perrin, Herbert Dunphy, ? McWood, assistant coach Angus Goetz, Frederick Novy, Paul Goebel, Stan Muirhead, Edward Usher, Leroy Neisch, assistant coach Elton Wieman, assistant coach A.J. Sturznegger

Front Row: Verne Richards, Oscar Olson, Louis Curran, William Crawforth, Harry Kipke, John Searle, Franklin Cappon, Theodore Banks, John Evans, John Keatley, Donald Hathaway, John Fairbairn, J.W. McAuliffe, John Landowski, Alexander Oliver, Donald Swan, Douglas Roby, Bernard Kirk, Robert Jerome Dunne, trasiner Archie Hahn, Leroy Neisch

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Back Row, standing: Harold Ackershook, Ira Grinnell, Roy Hudson, Karl Richardson, Leslie Avery, Fielding H. Yost, jr., Hilbert Horwitz, Robert C. Morgan, Maynard Morrison, Thomas Samuels, Estel Tessmer, Russell Damm, Claire Purdum, Sylvester Shea, Ivan Williamson, Stanley Hozer, Roderick Cox, William Gitman, William Jordan, Ward Oehman, Ivan Smith, Carl Castle, Omer LaJeuness, Leo Draveling, Howard Auer

Middle Row: Francis Cornwell, Oscar Lundin, Jay Sikkenga, Charles DeBaker, Leslie Frisk, Norman Daniels, Harry Newman, George Bremen, William Unger, Thomas Justice, Kenneth Manuel, Orville Parker, Walfred Kuijala, Robert (?)Hayes, Keith(?) Tyler, Leslie Douglass, DuVal Goldsmith

Front Row: Emmett O'Neill, Claude Stoll, Clare Jack Wheeler, Ward O'Neill, James Simrall, Aber Marcovksy, Alber Berkowitz, Harry Eastman, William M. Heston jr., Arthur Podlewski, J. Charles Markley, Ralph Wills, Harold Lindsay, William Benz, Arthur Kutsche, Harry(?) Benjamin, J. Leo Winston, William Hewitt

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Back Row: Dennis Youngblood, William Pratt, C. Robert Johnson, Robert Callahan, Jack Weisenburger, Russell Reader, Gene Hinton, Robert Swanson, Stanley Kuick, Robert Allen Wahl, Anton Momsen, Daniel Dworsky, F. Stuart Wilkins, Reginald Sauls

3rd Row: Walter Teninga, Horace Coleman, George Chiames, John Lintol, George Johnson, John Anderson, Donovan Hershberger, Edward McNeill, John Smith, Peter Elliott, John Ott, Michael Prashaw

2nd Row: James Foltz, Louis Brunsting, Russell Kavanaugh, Howard Yerges, Harold Watts, Joseph Ponsetto, Frank Nakamura, Joseph Soboleski, Carl Freihofer, John Weyers, Dominic Tomasi

Front Row: George Hutter, Norman Rabbers, Henry Fonde, Howard Doty, Edward Grenkoski, Warren Bentz, Wesley Muelder, William Redmond

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In some Queensland universities, Information Systems academics have moved out of Business Faculties. This study uses a pilot SWOT analysis to examine the ramifications of Information Systems academics being located within or outside of the Business Faculty. The analysis provides a useful basis for decision makers in the School studied, to exploit opportunities and minimise external threats. For Information Systems academics contemplating administrative relocation of their group, the study also offers useful insights. The study presages a series of further SWOT analyses to provide a range of perspectives on the relative merits of having Information Systems academics administratively located inside versus outside Business faculties.

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In architecture courses, instilling a wider understanding of the industry specific representations practiced in the Building Industry is normally done under the auspices of Technology and Science subjects. Traditionally, building industry professionals communicated their design intentions using industry specific representations. Originally these mainly two dimensional representations such as plans, sections, elevations, schedules, etc. were produced manually, using a drawing board. Currently, this manual process has been digitised in the form of Computer Aided Design and Drafting (CADD) or ubiquitously simply CAD. While CAD has significant productivity and accuracy advantages over the earlier manual method, it still only produces industry specific representations of the design intent. Essentially, CAD is a digital version of the drawing board. The tool used for the production of these representations in industry is still mainly CAD. This is also the approach taken in most traditional university courses and mirrors the reality of the situation in the building industry. A successor to CAD, in the form of Building Information Modelling (BIM), is presently evolving in the Construction Industry. CAD is mostly a technical tool that conforms to existing industry practices. BIM on the other hand is revolutionary both as a technical tool and as an industry practice. Rather than producing representations of design intent, BIM produces an exact Virtual Prototype of any building that in an ideal situation is centrally stored and freely exchanged between the project team. Essentially, BIM builds any building twice: once in the virtual world, where any faults are resolved, and finally, in the real world. There is, however, no established model for learning through the use of this technology in Architecture courses. Queensland University of Technology (QUT), a tertiary institution that maintains close links with industry, recognises the importance of equipping their graduates with skills that are relevant to industry. BIM skills are currently in increasing demand throughout the construction industry through the evolution of construction industry practices. As such, during the second half of 2008, QUT 4th year architectural students were formally introduced for the first time to BIM, as both a technology and as an industry practice. This paper will outline the teaching team’s experiences and methodologies in offering a BIM unit (Architectural Technology and Science IV) at QUT for the first time and provide a description of the learning model. The paper will present the results of a survey on the learners’ perspectives of both BIM and their learning experiences as they learn about and through this technology.

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Communities of practice (CoPs) may be defined as groups of people who are mutually bound by what they do together (Wenger, 1998, p. 2), that is, they “form to share what they know, to learn from one another regarding some aspects of their work and to provide a social context for that work” (Nickols, 2000, para. 1). They are “emergent” in that the shape and membership emerges in the process of activity (Lees, 2005, p. 7). People in CoPs share their knowledge and experiences freely with the purpose of finding inventive ways to approach new problems (Wenger & Snyder, 2000, p. 2). They can be seen as “shared histories of learning” (Wenger, 1998, p. 86). For some time, QUT staff have been involved in a number of initiatives aimed at sharing ideas and resources for teaching first year students such as the Coordinators of Large First Year Units Working Party. To harness these initiatives and maximise their influence, the leaders of the Transitions In Project (TIP)1 decided to form a CoP around the design, assessment and management of large first year units.

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This presentation describes a situation where an open access mandate was developed and implemented at an institutional level, in this case, an Australian University. Some conclusions are drawn about its effect over a five year period of implementation.

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The overall research aims to develop a standardised instrument to measure the impacts resulting from contemporary Information Systems (IS). The research adopts the IS-Impact measurement model, introduced by Gable et al, (2008), as its theoretical foundation, and applies the extension strategy described by Berthon et al. (2002); extending both theory and the context, where the new context is the Human Resource (HR) system. The research will be conducted in two phases, the exploratory phase and the specification phase. The purpose of this paper is to present the findings of the exploratory phase. 134 respondents from a major Australian University were involved in this phase. The findings have supported most of the existing IS-Impact model’s credibility. However, some textual data may suggest new measures for the IS-Impact model, while the low response rate or the averting of some may suggest the elimination of some measures from the model.

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Queensland University of Technology (QUT) is a large multidisciplinary university located in Brisbane, Queensland, Australia. QUT is increasing its research focus and is developing its research support services. It has adopted a model of collaboration between the Library, High Performance Computing and Research Support (HPC) and more broadly with Information Technology Services (ITS). Research support services provided by the Library include the provision of information resources and discovery services, bibliographic management software, assistance with publishing (publishing strategies, identifying high impact journals, dealing with publishers and the peer review process), citation analysis and calculating authors’ H Index. Research data management services are being developed by the Library and HPC working in collaboration. The HPC group within ITS supports research computing infrastructure, research development and engagement activities, researcher consultation, high speed computation and data storage systems , 2D/ 3D (immersive) visualisation tools, parallelisation and optimization of research codes, statistics/ data modeling training and support (both qualitative and quantitative) and support for the university’s central Access Grid collaboration facility. Development and engagement activities include participation in research grants and papers, student supervision and internships and the sponsorship, incubation and adoption of new computing technologies for research. ITS also provides other services that support research including ICT training, research infrastructure (networking, data storage, federated access and authorization, virtualization) and corporate systems for research administration. Seminars and workshops are offered to increase awareness and uptake of new and existing services. A series of online surveys on eResearch practices and skills and a number of focus groups was conducted to better inform the development of research support services. Progress towards the provision of research support is described within the context organizational frameworks; resourcing; infrastructure; integration; collaboration; change management; engagement; awareness and skills; new services; and leadership. Challenges to be addressed include the need to redeploy existing operational resources toward new research support services, supporting a rapidly growing research profile across the university, the growing need for the use and support of IT in research programs, finding capacity to address the diverse research support needs across the disciplines, operationalising new research support services following their implementation in project mode, embedding new specialist staff roles, cross-skilling Liaison Librarians, and ensuring continued collaboration between stakeholders.

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A graduate destination survey can provide a snap shot in time of a graduate’s career progression and outcome. This paper will present the results of a Queensland University of Technology study exploring the employment outcomes of students who had completed a library and information science course from the Faculty of Information Technology between 2000 and 2008. Seventy-four graduates completed an online questionnaire administered in July 2009. The study found that 90% of the graduates surveyed were working and living in Queensland, with over three quarters living and working in Brisbane. Nearly 70% were working full-time, while only 1.4% indicating that they were unemployed and looking for work. Over 80% of the graduates identified themselves as working in “librarianship”. This study is the first step in understanding the progression and destination of QUT’s library and information science graduates. It is recommended that this survey becomes an ongoing initiative so that the results can be analysed and compared over time.