Professor and Director of Engineering Technology at the University of Pittsburgh at Johnstown.He holds a BS ChE from Clarkson College, and MS and PhD in ME from Oklahoma State University. He taught atthe United States Military Academy for 12 years before assuming his current position in 1996. His recent work hasbeen in the area of foundations of good teaching and development of advanced teaching methods. Page 4.374.4
,test, and refine their experiment in a laboratory environment. The students prepare both prelaband lab assignments which are distributed to the remainder of the class prior to the scheduled labsession. Since the lead-group has become very familiar with the laboratory exercise, they areassigned the responsibility of administering the labs (acting as mentors) as their classmatesperform the lab exercises.Not only are the laboratory exercises current and relevant to what is being covered in theclassroom, but they also provide an interesting open-ended laboratory design experience to thelead-group and an opportunity for these students to share their knowledge and experience withtheir peers. As active learners of technology, their communication and
, whereas the MARR technically is theabsolutely lowest IRR at which investment occurs. If there are not large changes in the values of the lastIRR's accepted, then the difference between AMRR and MARR is small and of little consequence in deci-sion making. For practical purposes, it suffices to say that discounting should be done at the IRR's of mar-ginal projects, a common interpretation of MARR. Bibliography1. Thuesen, G. J., "Decision Techniques for Capital Budgeting Problems," Ph.D. Dissertation, StanfordUniversity, University Microfilms, 1968. BiographyDr. John H. Ristroph is a Professor of Engineering and Technology Management and a
Session NO. 2642 How to Initiate Dialogue in Student Research Teams Bonnie D. Burrell and Clark K. Colton Department of Chemical Engineering Massachusetts Institute of Technology, Cambridge, MA 02139AbstractIn the process of integrating teambuilding training into a chemical engineering projectslaboratory, we concluded that a pedagogical tool was needed to move the student teams throughthe early team life cycle and communication stages in order to create the needed trust to begineffective communication. The tool we developed consists of two parts: (1) an
Session 1620 An Integrated Vibrations and System Simulation Course George M. Swisher, Corinne M. Darvennes Tennessee Technological UniversityAbstractThis paper describes a junior-level, three-credit-hour, one-semester, required course inMechanical Engineering (ME) at Tennessee Technological University. The authors haveintegrated the analytical (classical) study of vibrating systems with extensive use of digitalsimulation of the differential equations of motion. This course is a result of combining atraditional three-credit hour, one-quarter vibrations course with a one-hour, one-quarter
1997.JAMES P. AVERYJames P. Avery received a B.S. degree in Computer Science from Michigan State University and a Ph.D. degree in Page 4.432.5Analytical Chemistry from the University of Illinois, Urbana. He has been an Assistant Professor of Electrical andComputer Engineering at the University of Colorado, Boulder, since 1982. He is active in developing new electricalengineering courses and experimenting with new teaching techniques and technologies. He also serves as TechnicalDirector of the Integrated Teaching and Learning Laboratory
. It is hoped that thesestudents in future classes will use this problem solving approach.Bibliography1. D.I. Schneider, Essentials of Visual Basic 5.0 Programming, Prentice Hall, Upper Saddle River, NJ 19992. H.M.Deitel, C, How to Program, Prentice Hall, Upper Saddle River, NJ, 19943. K.J. Ayala, The 8086 Microprocessor, West Publishing Company, St. Paul, MN, 1995 Page 4.572.8RONALD H. ROCKLANDDr. Ronald H. Rockland is an assistant professor in EET at New Jersey Institute of Technology. He received his M.S. andPh.D. degrees in biomedical/electrical engineering from New York University, and an M.B.A. from the University of St.Thomas. His interests are in signal processing of biomedical waveforms and computer aided
language provides a convenient, inexpensive way to teach students how toperform economic analyses under risk. The software is readily available, and separating the cashflow model from the simulator allows analyses of a truly impressive scope of realistic problems.Readers using this procedure or related ones are urged to contact the author at ristroph@usl.edu Page 4.213.6so that ideas can be exchanged via group mailings. Biography Dr. John H. Ristroph is a Professor of Engineering and Technology Management and aregistered Professional Engineer in Louisiana. His B.S. and M.S. are from LSU, and his Ph.D
/ Arthur J. Caisse Jr., 1996, Prentice-Hall Inc., Englewood Cliffs, NJ 07632.2. Introduction to Power electronics, Daniel W. Hart, 1997, Prentice-Hall Inc., Englewood Cliffs, NJ 07632.3. Power Electronics for Technology, Ashfaq Ahmed, 1998, Prentice-Hall Inc., Englewood Cliffs, NJ 07632.4. Thyristor / Silicon Controlled Rectifiers, Westinghouse Electric Corporation, Semiconductor Division, Young wood, PA 15697.MASSOUD RABIEE received his Ph.D. in Electrical Engineering, from University of Kentucky, in 1987. He ispresently a professor at Eastern Kentucky University. Dr. Rabiee is a registered professional Engineer in the State ofKentucky, and a member of IEEE, ASEE, and NAIT
knowledge learned from different courses, suchas electrical system design and computer-aided manufacturing. Finally, the final product fromsuch a project can be used as a demo for prospective students, parents, and visitors; as a projectcandidate for future groups of students; and as an instructional tool.1. IntroductionThe primary objective of this paper is to demonstrate that ladder diagrams and icon-basedprogramming can be integrated in automated storage/retrieval system (AS/RS) design. An AS/RS Page 4.103.1is a good representation of integrated automation technology in automated storage systemdesign1. However, it is costly to purchase or
Session 2520 Applying Multiple Student Modeling Techniques In Intelligent Tutoring Systems Essam M. Kosba, Ahmed R. Dawoud Arab Academy for Science & Technology / October University For Modern SciencesAbstract An important aspect of Intelligent Tutoring Systems (ITSs) is their ability to provideindividualized instruction in a manner similar to what offered by a personal humaninstructor. A student model is described as the information that ITS keeps about anindividual student. ITSs should actively support the student’s learning process throughtailoring