Education9. Course Notes, CDA 328 Speech Science, Saint Louis University, Spring 199710. Course Notes, SPPA 441 Disorders of Articulation, Southern Illinois University at Edwardsville, Fall 199811. Shames, George H., Wiig, Elisabeth H., Secord, Wayne A., Human Communication Disorders: An Introduction, 4th Ed., Merrill Macmillan Publishing Company, 199412. Martin, Frederick N., Introduction to Audiology, 5 th ed., Prentice-Hall, 199413. Denes, Peter B., Pinson, Elliot N., The Speech Chain: The Physics and Biology of Spoken Language, 2 nd ed.,W. H. Freeman and Company, 199314. Fromkin, Victoria, Rodman, Robert, An Introduction to Language, 5 th ed., Harcourt Brace Publishers, 199315. Berthal, John E., Bankson, Nicolas W., Articulation and
, University of Cincinnati, will, demonstrate that its graduates meeteleven ABET outcomes: a. Ability to apply knowledge of mathematics, science, and engineering b. Ability to design and conduct experiments, as well as to analyze and interpret data c. Ability to design a system, component, or process to meet desired needs d. Ability to function on multi-disciplinary teams e. Ability to identify, formulate, and solve engineering problems f. Understanding of professional and ethical responsibility g. Ability to communicate effectively h. Broad education necessary to understand the impact of engineering solutions in a global and societal context i. Recognition of the need for and the ability to engage in life-long
determining the constants A, K, and B thatbest fit the data, the equations for position and acceleration of the mass as function of time weredetermined. Students used the software package MAPLE for this lab.Each of the Principle of Design sections had a different statistics and curve-fitting project. Forexample, students in one section measured their heart rate before and after sixty seconds ofexercise. Statistical analysis and curve fitting of the data was performed using a spreadsheetsoftware package (Microsoft Excel). The mean and standard deviation of the classes’ heart rateswere determined before and after exercise. In addition, paired and unpaired t-tests wereperformed to determine if exercise caused a significant change in heart rate.While it
Education”3. Job Excelling and Creating Graduates - Attract and retain the very best students by our leadership in producing graduates widely known for not only being in great demand for existing jobs, but for their understanding of, and unique preparation for, creating jobs.These goals led to the definition of specific educational objectives for the College, suchas:1. Cutting Edge Education a. Improve the student/faculty ratio to at most 15/1 in every school, which will require increasing the faculty by 40-50%. b. Increase project-based, multidisciplinary educational opportunities. c. Increase our focus on technology-based learning to enable educational innovation. d. Improve the educational infrastructure.2. Cutting Edge
., Cygnus, M.W., Storch, R.L. & Farnsworth, K.D. (1993). Virtual reality for manufacturing simulation. Proceedings of the Winter Simulation Conference.[11] Lefort, L. & Kesavadas, T. (1998). Interactive virtual factory for design of a shopfloor using single cluster analysis. Proceedings of the IEEE conference on Robotics and Automation .[12] Henning, K. (1995). Simulation: the virtual factory. Proceeding of the APICS Annual International Conference.[13] Geller, T., Lammers, S., & Mackulak, G. (1995). Methodology for simulation application to virtual manufacturing environments. Proceedings of the Winter Simulation Conference.[14] Rembold, U., Reithofer, W., & Janusz, B. (1998). Role of models in future enterprises
in Fig. 6, the schematic of thecam and follower may be shown in any desired cam orientation. The rotation and animation toolsare other features of the program that help the students to obtain a better imagination of theperformance of the system designed. S e Y Y rr rb X rb (a) (b) Fig. 4 Cam and Follower Systems (a) Pivoting flat
to the air suction or discharge. A pitottube and manometer can then be used to measure air velocity through the known diameter duct.(b) If the oven design utilizes once through air, this flow can be measured by a technique similar Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Page 7.647.4 Copyright © 2002, American Society for Engineering Educationto one used by environmental engineers to measure breathing losses from atmospheric storagetank discharge vents. With the oven at a very low heat setting, tape a plastic bag over thedischarge vent of the oven to
demonstrations for K-12students. These demonstrations included lumped mass models, a fluid tank model, and aportable shake table, each of which are described in this section. The lumped mass model basically consisted of a steel/aluminum cylindrical solid masspiece screwed to one end of a 1/8 in. diameter rod, and the other end of the rod was rigidlyconnected to a wood block. The lumped mass models were an additional simplification of the1/24-scale models described in the previous section, as illustrated in Figures 6(a) and 6(b).These are intended for physical observation only. In the lumped mass model shown in Figure6(b), the rod represents the building columns, and the cylindrical lumped mass represents therigid top floor. Both the models shown
. Action will be takenas appropriate by faculty in case of conflicts.2. Assessment of the Curriculuma. Accreditation Organization RequirementsThe Department reviews the current ABET accreditation and university requirements and notesany discrepancies between requirements and the current curriculum. Appropriate faculty will beappointed to take action to correct the discrepancies as needed.b. Review of Curriculum by the IABThe Department will send a copy of the following items to the members of the industrialadvisory board (IAB). A cover letter will ask for the participants to review and providecomments by a deadline. a. Current curriculum b. Current syllabus of each course in curriculum c
Instrumentation Division Session 2559 Field Trips: An innovative approach in teaching ‘Manufacturing Processes’ to traditional undergraduates Mary B. Vollaro, Ph.D. Assistant Professor of Engineering, Western New England College, Springfield, MA 01119AbstractTeaching manufacturing processes to undergraduates with industrial and mechanical engineeringmajors poses a challenge, in that, students have little background from which to begin buildingtheir knowledge. Comparing and contrasting different processes becomes just another ‘book’problem to solve and/or
”Bibliography1. Fussell, L., Paddelford, B., “The SAE Clean Snowmobile Challenge 2001 Rules”, 2001.2. 2000 - 2001 Criteria for Accrediting Engineering Programs - Engineering Criteria 2000.SCOTT A. MIERSScott A. Miers is currently a doctoral student at Michigan Technological University. He received his B.S. inMechanical Engineering from Michigan Tech in 1995. Before returning to graduate school, he spent two years inindustry as a research engineer. In addition to research, Scott is actively involved in the Michigan Tech CleanSnowmobile Enterprise and has participated in an NSF teaching fellows program at a local high school.CARL L. ANDERSONCarl L. Anderson is an Associate Professor of Mechanical Engineering at Michigan Technological University
– Questions 1 to 3 Over 95% of the students agreed that we accomplished the course goals and felt that theyreally learned something. The comfort level with computers increased dramatically as well. Atthe end 83% of the students felt comfortable with computers, an increase from 31%. However,the level of comfort was significantly higher in the laboratory sections, p-value = 0.028. b. Materials – Questions 4 to 6 Almost all of the students liked having the course materials on-line, 87%. As one wouldexpect almost all of the students reported using the on-line material at least once a week.Question 6 was designed to get general feedback on the degree of difficulty posed by the varioustopics. The average challenge scores are shown in
-in-time approach which proved to be veryfruitful. A few examples are in order: (a) The radar detection process is statistical in nature. The radar engineer must use statistical techniques to assess detection performance. The concept of continuous probability density function is developed through discrete probability histogram1, and is used to explain the probability of detection without overwhelming students with the complexities of probability theory. (b) Antenna is one of the integral components of a radar system. The concept of antenna theory is quite complex, so only pertinent features of antenna are covered with minimum amount of mathematical rigor. Only the antenna types commonly
acquisitions and design process. Curricular Outcomes: (1) Define and explain the phases of the DoD Acquisition process and identify associated milestones (2) Given a request for proposal (RFP), you should be able to: a.) validate the user’s requirements and present various design alternatives, highlighting how each will meet the user’s requirements b.) develop a technical, cost and management proposal that will demonstrate how your selected design will be developed through studies, engineering analysis, subsystem fabrication, system integration, and testing. (3) Once a design has been selected, demonstrate through oral and
optimized through scale modifications, introduction of new axes or plots Page 7.564.2Proceedings of the 2002 American Society of Engineering Education Annual Conference &Exposition Copyright ã 2002, American Society of Engineering Education B. Schematic Property Editor A. Capture Schematic C. Simulation Profile EditorFigure 1. OrCAD-Cadence Capture Screens. A) Capture window with completed circuitschematic. B) Property Editor window through which component values may be set inspreadsheet fashion. C) Simulation
MSU? a) High School GPA b) Total SAT score c) Gender 4. Are the following variables significant predictors of retention in SEM status after the first and second semester of college of SEM students at MSU? a) High School GPA b) Total SAT score c) Gender d) First semester GPA (for retention in SEM status after first semester) e) Cumulative GPA after the second semester (for retention in SEM status after second semester) For purposes of analysis, SEM majors were divided into three groups: Life Sciences(biology, medical technology), Physical Sciences (chemistry, physics, engineering physics,computer science, and mathematics), and Engineering (civil engineering, electrical engineering
; Exposition Copyright Ó 2002, American Society for Engineering EducationBibliography1. Vaughn, Brent M., Chiang Lin, Richard K. Romick-Allen. “A teaching aid for instructing computerizedinstrumentation in engineering measurement laboratories,” 1996 ASEE Illinois/Indiana Sectional Conference.Peoria, Illinois, March 1996.2. C. Lin, S. Morgan and E. Stueber. " Web-Based Database for Laboratory Courses," 2000 ASEE AnnualConference Proceedings. June 2000.3. Protopapas, D.A. Microcomputer Hardware Design. Englewood, New Jersey: Prentice Hall, Inc., 1988.4. B&B Electronics. RS-422 and RS-485 Application Note. Ottawa, Illinois, October 1997.BiographicalBRENT M. VAUGHN, PE, is Laboratory Specialist/Lecturer for the Department of
learning module was developed to focuson both of these issues. After completing this module, students should be able to: a. Explain the importance of lifelong learning in an engineering or computer science career b. Describe a process for learning new material c. Given a situation, identify what learning is needed d. Find appropriate resources in the library and on the web e. List sources for continuing education opportunities f. Assess their academic and professional development g. Demonstrate that they can learn material on their own for a given assignmentThe class periods are organized such that objectives a, b, and d are covered the first day,objectives c, e, and f are covered during the second and third days
”, TECHNOMIC, 1998.11. Shaw A. D., di Camillo A., Vlahov G., Jones A., Bianchi G. and Kell D. B. “Discrimination 13 of the Variety and Region of Origin of Extra Virgin Olive Oils using C NMR and Page 7.888.9 Multivariate Calibration with Variable Reduction” Analytica Chimica Acta, 348, 1-3, 357- 374, 1997. 1312. Vlahov G., Shaw A. D. and Kell D. B. “Use C NMR DEPT Pulse Sequence and Multivariate Analysis to Discriminate Olive Oil Cultivars”. Journal of the
, U., Reithofer, W., & Janusz, B. (1998). Role of models in future enterprises. Annual Reviews in Control, 22, 73-83.Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education[16] Rasmus, D. (1990). Working in a virtual factory. Manufacturing Systems, 8, 18-22.[17] Lin, M., Fu, C., & Shih, T. (1999). Virtual factory- a novel testbed for an advanced flexible manufacturing system. Proceedings of the IEEE conference on Robotics and Automation[18] Keane, J.A. (1998). Virtual factory approach to quality education. Quality Progress, 31, 10, 62-64.[19] Lu, J., Tsai, K., Yang, C., & Wang, Y
. However, his dramatic conclusion to the FBD demonstrationlesson as a mechanics instructor at West Point has been source of inspiration for cadets andinstructors for decades. The FBD demonstration lesson unfolds as follows: a. The FBD concept is introduced and its importance is stressed along with a simple set of rules and development guidelines. b. A model for a demonstration is unveiled that consists of a wooden member (2 in. x 2 in. x 24 in.) with an applied load and a variety of supports. Additionally, a partially complete FBD is posted behind the model, Figure 1. c. The instructor takes elaborate safety measures, to include posting yellow caution tape, issuing safety glasses and hard hats, much to the
Direction, http://www.asce.org/pdf/fpd-appendices.pdf.14. Russell, J., B. Stouffer and S. Walesh, “The First Professional Degree: A Historic Opportunity,” ASCE Journal of Professional Issues in Engineering Education and Practice, Vol. 126, No. 2, April 2000, pp. 54-63.HOWARD I. EPSTEINHoward Epstein is Professor of Civil and Env. Engrg. (CEE) at The University of Connecticut, Storrs. He receiveda BSCE from The Cooper Union and an MS and PhD (Applied Mechanics) from Northwestern Univ. He is anactive researcher in structural engineering design, having published nearly 100 papers. His innovative structuraldesigns have received several awards. He is a Fellow in ASCE and has been active at the national and local levels
INTEGRATION OF ENTREPRENEUERSHIP-TEAM CONCEPT INTO DESIGN CLASSES Saeed B. Niku Mechanical Engineering Department California Polytechnic State University San Luis Obispo, CA 93407 sniku@calpoly.eduAbstractA proposal submitted to the National Collegiate Innovators and Inventors Alliance (NCIIA) andthe Lemelson Foundation in 1997 was funded to modify the Philosophy of Design Course(ME234) in the mechanical engineering department at Cal Poly, San Luis Obispo. The grant wasfor the integration of E-Teams in the above-mentioned course.An E-Team, as defined by
Session 2793 Teaching Engineering Ethics, Values or Virtue? Otto J. Helweg College of Engineering and Architecture, North Dakota State UniversityAbstract One of the major concerns of almost every profession is the ethical practice of itsmembers. One of the ways academia has addressed this concern is by teaching values.Especially in K-12 curriculum, "values clarification" has been widely practiced. However,values may be content-less ideas that do not promote virtue, character, or ethical behavior.Perhaps the most common practice in engineering curricula is to either have a course
assessment tools selectedfrom the above (11) tools. Table 2 shows the mapping of the sample fluid mechanics coursetopics to criteria (a-s) and its corresponding assessment tools. Table 2. Mapping of the Fluid Mechanics Contents to Criteria (a-s). ME 360 Fluid Mechanics: ABET Criteria 3(a-k) and ME Program Criteria (l-s) Course # a b c d e f g h i j k l m n o p q r s Outcome Assessment
issues in thefollowing semester during academic advising.The project logistics were often difficult for several reasons. The number of students enrolled ineach class did not always make it possible to match freshman groups to seniors on a one-to-onebasis, leading to communication and work load problems. The difficulties of finding a commonmeeting time for a group of 4 or 5 freshman students was compounded by the addition of asenior with a very different schedule. In spite of these difficulties, both the students and thefaculty found the experience to be valuable and worth repeating.1. Geneva College Department of Engineering, ABET Self-Study Report, Geneva College, June 30, 2000.2. Bellamy, L. and McNeill, B., Faculty Workshop on "Designing
good indicator of the college ranking.The 95% confidence intervals for the probability of these transitions ( D = -1, 0, +1) for each ofthe eleven disciplines that appear in U.S. News and World Reports’ published data between 1990and 2001 are shown graphically in Figure 8. These disciplines can be broadly categorized intofive discipline clusters with successively decreasing relationship between departmental rankingand college ranking, · Cluster A – mechanical and electrical · Cluster B – aeronautical and computer · Cluster C – materials, chemical, nuclear, and environmental · Cluster D – civil · Cluster E – industrial and bioengineeringThe departmental rankings of Cluster A disciplines are
training, it can be a challenging and rewarding experience. Goodinstructional design results in clearer instruction and, hopefully, a better learning experience forthe student, which should be our ultimate goal.Bibliography1 Bloom, B. S., Englehart, M. D., Furst, E. J., Hill, W. H., and Krathwohl, D. R. 1956. Taxonomy of educationalobjectives: Handbook I, cognitive domain. NY: McKay.2 Bostock, S. J. 1997. Designing web-based instruction for active learning. In B. Khan (ed.), Web-BasedInstruction. Englewood Cliffs, NJ: Educational Technology Publications, 225-230.3 Fardouly, N. 1998. Instructional design of learning materials. [On line]. Available:http://www.fbe.unsw.edu.au/learning/instructionaldesign/materials.htm.4Keller, J. M. 1978. Development
3.23 and had completed most of her preparatory math andscience coursework for her engineering degree with good grades (ranging from C to B+) Sandy is from a smaller town in New Mexico. Sandy is a Caucasian female who attended an out-of-state private universityimmediately after high school. Sandy started out at this university as a beginning freshman. Her first semester was extremelyimpressive; she earned a 4.00 cumulative GPA on 15 credit hours. She seemed to be on track and motivated for her second semester.Her advisor made the following notations: “Schedule disscussed. Workload heavy but Sandy feels prepared. She may lower her workload (part-time job) if she feels she needs
Society for Engineering Education”[23] Woolf, B. (1988), ‘20 Years in the Trenches: What Have We Learned?’, Proceedings of ITS 88, Montreal, 33-39.PAUL BELLO is a Ph.D. student in the Department of Computer Science atRensselaer Polytechnic Institute (RPI) in Troy, New York. He specializes inboth the logical and empirical foundations of AI, blending elements from boththe logic-based symbolic approach and various machine learning paradigms.SELMER BRINGSJORD specializes in the logico-mathematical and philosophicalfoundations of Artificial Intelligence and Cognitive Science. He currentlyis a professor in the Department of Cognitive Science, where he teachesartificial intelligence, logic, theorem proving, and philosophy of AI