externally bonded to concrete; a rehabilitation technology widely used for retrofit ofhighway bridges, particularly for seismic response, and other concrete and masonry structures. Page 8.873.13Proceedings of the 2003 American Society for Engineering Education Annual Conference &Exposition Copyright © 2003, American Society for Engineering Education
software engineering)tools for software modeling and development, GUI (graphical user interface) design, case studiesof several kinds of software applications, writing skills, and programming assignments. Examplesystems include typical business data management software, soft real-time control of devices,direct manipulation visual models, and distributed computing. Programming is done primarilyusing Java, with some work using C++. With the foundation of object oriented structure, there islittle difficulty in using the equivalent subset of C++. The course is offered within a track ofsoftware engineering (within a computer science/ information systems curricula); however, thecourse is also taken by electrical and computer engineers and some students
Session 2793 The National Summer Transportation Institute (NSTI): 10 years motivating minority students toward professions in the transportation industry. Didier M. Valdés-Díaz (1), Clarence W. Hill(2), Antonio A. González- Quevedo(1), Veretta J. Sabb(2), and Freya M. Toledo-Feria(1) (1) School of Engineering, University of Puerto Rico at Mayagüez/ (2) National Resource Center, South Carolina State UniversityAbstract Ten years have passed and it seems as it was yesterday when a
Session 3275 Teach Less Better Ronald P. Krahe, P.E. Associate Professor of Engineering Penn State Erie, The Behrend CollegeAbstractWhat are we trying to accomplish? Many of us feel the pressures of adding more and more material tothe curriculum. Just keeping up with technology can be a challenge in itself. At the same time, business,industry, and society are telling us that our teaching is vastly overrated, irrelevant and ineffective.Several interesting approaches have been suggested in literature to address
of the technology hasimproved the visual appeal of the presentations. However, the judging criteria have not changed;Organization of the presentation and Delivery and Effectiveness each contribute 30% towards the 2overall score. This favors a well-prepared, polished presentation above a highly technical butmonotone report. Our two Air Force ROTC winners could testify that their leadership training includedpreparing “spit-and-polish” briefings delivered to their commanding officers. Our first winner expressedherself without the pauses (uhs, ums, and the like) common to many engineering briefings. Vocalcontrol, frequent eye-contact, and proper timing portray confidence which the judges highly favor inthese two very important
Equations used to Perform Measurements with the Device: Derivation from Fundamentals Principles and Application 7. Worked out Examples of Problems that Involved the Variables (see 2) and the Device 8. Identification of Physical Situations that can be described or Understood using the Know- How gained in this Project. 9. Produce a Class Demonstration to Show the Basic Aspects of Your Project.Key Words:Team work; team assessment; ABET Criteria; Final Exams; Collaborative work; UOL;Active learning. Page 8.244.6Contact information about the authors:A- Dr. Sharon Sauer, Chemical Engineering, Rose-Hullman Institute of Technology
.2. J. R. Hackworth, "A Video-Taped Laboratory in Electrical Power and Machinery. ASEE 2001 AnnualConference Proceedings.JOHN R HACKWORTHJohn R. Hackworth is Program Director for the Electrical Engineering Technology program at Old DominionUniversity. He holds a B. S. Degree in Electrical Engineering Technology and a Master of Science Degree inElectrical Engineering, both from Old Dominion University. Prior to joining the Old Dominion University faculty,John had approximately 20 years of industrial experience in test engineering and plant automation.RICHARD L. JONESRichard Jones has been teaching at ODU since 1994. He is a retired United States Navy Submarine Service Lt.Commander with sub-specialties in Ballistic Missile, Torpedo, Sonar, and
Session 1531 When Conflict Helps Learning David Socha†§, Valentin Razmov§, Elizabeth Davis † Center for Urban Simulation and Policy Analysis § Department of Computer Science & Engineering University of WashingtonAbstractWe describe techniques, implemented in a junior software engineering course, for creating anenvironment of safety and for regulating the amount of conflict so that students can learn how touse conflict to benefit their learning and the project instead of
. Students in the class realized that subjectsthey currently do not enjoy as students may become more enjoyable once in the workplace. A CEO of a local Human Resource Services company spoke to an InformationManagement class. He discussed how his company incorporated information technology into itslong term strategic planning. He first showed the students a strategic plan for his company from 5 Page 8.175.7years ago and discussed how the company fell short, met, or exceeded the plan in terms of its“Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition AnnualCopyright © 2003, American Society
Session 2793 A Cold-Formed Wall Panel for Building Construction -A Case Study Vernon W. Lewis, Jr. Department of Engineering Technology Old Dominion University Norfolk, Virginia 23529AbstractIn the spring of 2002, Old Dominion University, though our Technology ApplicationsCenter was asked to perform testing on a new type of structural wall panel. These panelswill be used in interior and exterior applications and for load bearing and non-load bearingconditions. This testing was done in accordance with the
Session 3475 On The Other Side of the Fence: Practical Tips for First Time Teachers Dave Murphy Fire Safety Engineering Technology The University of North Carolina at Charlotte To teach is to learn twice over – Joseph Joubert The bell rings, the door shuts, and suddenly you are faced with a multitude of inquisitivefaces looking expectantly at you. The room slowly becomes quiet . . . what next? Your newvantage point provides an unfamiliar view of the awesome
graduates have a strong fundamental scientific and technical knowledge base and a SA A D SD proficiency in learning, using, and understanding technology to serve as a foundation for Page 8.1027.11 engineering practice and life-long learning.3 OU ME graduates are proficient technical communicators, able to completely and clearly SA A D SD Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education document analytical and experimental work, provide a clear and concise
educational effectiveness of (1)various sensory stimuli, (2) informational structure, (3) presentation method andtechnology, (4) exchanges between students and teachers and (5) academic rigor of thecurricula. Hitchings et al. (2001), Ess (2001), and Strohman et al. (2001) addressed coursedevelopment, student and course evaluation and assessment, and best-practicesdevelopment with respect to ABET’s guides for developing outcome-based web materialin biosystems engineering curricula. The consensus was that the use of the followingguidelines is critical: (1) communicating course expectations from the start, (2) motivatingstudent participation with scores, (3) ensuring initial student technological literacy, (4)monitoring student progress on some
Session 2793 Math Understanding through the Science of Life (MUSCLE) Glenda T. Kelly1, Gary A. Ybarra2 and Martha S. Absher2 1 Private Practice, Chapel Hill, NC/ 2 Pratt School of Engineering, Duke University, Durham, NCAbstractMUSCLE is an academic enhancement program partnering Duke University’s Pratt School ofEngineering, Lakewood Elementary School and Rogers-Herr Middle School in Durham, NC.The mission of this program is to promote a passion for understanding and applying
American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering EducationTERRY R. COLLINSTerry R. Collins, Ph.D., P.E., is an Assistant Professor in the Industrial Engineering department at the University ofArkansas. Dr. Collins is the Director and Chairman of Studies for the Masters of Science in OperationsManagement program, and Co-Director of the Arkansas Productivity Center. His focus in the teaching and researchareas is in Engineering and Technology Management. Dr. Collins also has 19 years experience in the Agriculture,Telecommunications, and Transportation industries.MANUEL D. ROSSETTIManuel Rossetti is an Associate Professor in the Industrial Engineering
Session 2220 On the Development, Simulation and Testing of a Mixed-Signal Flash ADC with Application to a Digital Voltmeter Cajetan M. Akujuobi Center of Excellence for Communication Systems Technology Research (CECSTR) Electrical Engineering Department, Prairie View A&M University P.O. Box 2117, Prairie View, Texas 77446 Cajetan_Akujuobi@pvamu.eduAbstractThe basic idea of a mixed signal system is explored in this work. A Flash Analog-to-Digital Converter(ADC) is developed, simulated and tested. Absolute accuracy
presentations of eventhe most sophisticated topic.IntroductionThe third author of this paper has been actively teaching mechanics courses at the Penn-sylvania State University for the last seven years. During these years, he has made aneffort to make the students excited about mechanics as a way to characterize the behaviorof materials at various scales and for a variety of applications, including topics such as thedescriptions of phase transitions and the derivation of nonlinear continuum propertiesfor molecular dynamics simulations. Behind this effort there is a strong belief that the-oretical mechanics has much to offer to the solution of today’s technological challenges,which, with a strong emphasis on nano-scale phenomena, require a deep
Session 1526 LABORATORY EXPERIMENTS UNIFYING CONCEPTS IN THE COMMUNICATIONS, DIGITAL SIGNAL PROCESSING (DSP) AND VERY LARGE SCALE INTEGRATION (VLSI) COURSES Ravi P. Ramachandran, Linda M. Head, Shreekanth A. Mandayam, John L. Schmalzel and Steven H. Chin Department of Electrical and Computer Engineering, Rowan University, Glassboro, New Jersey 08028Abstract - The hallmark of the Rowan College of Engineering undergraduate program is toprovide effective laboratory based instruction that illustrates important scientific concepts. Thispaper presents the results of an effort by
something students do. It requirescompelling problems and well-designed laboratories, studios, workshops, and playingspaces. It demands strenuous efforts and experts to intercede with stories, admonitions,or principles when students fail, as they must, if they are to learn. Most of the learningthat results in the expertise of the practicing scientist, engineer, or poet is accomplishedthrough hands and minds on a task. Just think of the contrast between the activities ofapprentices in a workshop and the passivity of pupils in a lecture hall.If we refocus our efforts on learning, professors can exploit information technology toprovide data, scholarly references, and simulated problems for cognitive workshops. Inthose workspaces, student investigators
Session 2368 Intuition, observations, and generalization in mechanics of materials Madhukar Vable Mechanical Engineering-Engineering Mechanics, Michigan Technological UniversityAbstractThe introduction of advanced topics as means of modernizing engineering curriculum, the needfor interdisciplinary research and education to meet societies challanges, the time constraint thatengineering students graduate in four years while getting a modern-interdisciplinary-education,are some of the factors driving the evolution of basic engineering courses such as mechanics
Engineering at McGill University with context-awareinterfaces distracting to the primary task, i.e. delivering an computer systems that assist the instructor in operating theeffective lecture, rather than encouraging the use of helpful equipment and facilitate the lecture-capture process. Thevisual aids made available by the technology. challenges here are twofold: first, to make the use ofKeywords electronic presentation technology as easy as theIntelligent environments, electronic classrooms, lecture
Session 1170 Using the Kumon Method to Revitalize Mathematics in an Inner-Urban School District Barbara A. Oakley†, Doreen Lawrence††, Walter L. Burt†††, Broderick Boxley†††, Christopher J. Kobus† † School of Engineering and Computer Science, Oakland University/ †† Kumon, North America/ †††School District of Pontiac Abstract It is a compelling challenge to provide inner-urban K-12 students with the skillsnecessary for a career in engineering. A solid grounding in
, will present some examples of notebooks we have created, and will provide advice for instructors wishing to create notebooks of their own. It is hoped these in- novative approaches will help educators to better illustrate and will help students to more easily grasp fundamental concepts that are crucial in understanding dynamics.IntroductionThere are a great variety of tools and teaching methods available to lecturers who areproviding instruction to engineering students in today’s colleges and universities. Thechoices made among these many options are often due to the particular backgrounds and Page 8.839.1 Proceedings of the 2003
implementation becomes rapidly complex as the length ofthe code word and the uncoded message increase. As a result, most coding theory uses a (7,4)code in which the code word has seven bits of which four bits contain the information.2 The coderesults in a manageable number of 128 code words of which only 16 form valid codes. Theredundancy is used for error correction. Now suppose a (15,7) code is used allowing 32,768possible code words for which only 128 are valid information codes. This complexity can bereduced by using several functions in the Matlab Communications Toolbox, providing a uniquelearning opportunity for the engineering technology student.INTRODUCTION2Channel coding refers to the class of signal transformations designed to improve
provide external funding; theLouis Stokes Alliance for Minority Participation (AMP) of the National Science Foundation, theCollegiate Science and Technology Entry Program (C-STEP) of the New York State Departmentof Education, and the Computer Science, Engineering and Mathematics Scholarships (CSEMS)Program also of the National Science Foundation. At the time it was founded, however, all of theexternal support came from C-STEP with a fiscal year of July 1 – June 30 and funding tied to thelegislative process. The early program included a summer bridge program for new students that was thoughtquite successful but was very difficult to run given the funding cycle. In those early years fundingwas by no means guaranteed and often not confirmed
Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering EducationCONCEPT DEVELOPMENTNo matter how knowledgeable and prepared a new faculty member may be, they will not be aneffective instructor if they do not determine and address the specific expectations of the students.It is important to note, that a new faculty member will, most likely, not recognize this need. Newfirst-time instructors may have only their own scholastic experiences to use when structuring theircourses and lectures. While they may think they are heading toward their goal of being aneffective teacher they may be falling short of the expectations of the students
driver’s code for correctness of design and implementation. Studies have shownthat pair programming is very effective. Two programmers can finish a task in little over half theelapsed time that a single programmer takes. And the quality of the code—measured in terms ofabsence of defects—is much higher.In the past few years, pair programming has made inroads into industry and into programmingcourses. However, it has not typically been used in courses that teach subjects other thanprogramming or software engineering, nor has it been used in the analysis of experimentalresults. This paper reports on an experiment in a combined senior/masters level computerarchitecture class, using Hennessy & Patterson’s Computer Architecture: A
; Page 8.1288.1 Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright c 2003, American Society for Engineering Education 2. Develop simple implementation means whereby the instructor may add supplemental materials to the course web-site (without compromising security or utility); and 3. Develop automatic evaluation means to determine if the on-line course supplements assist student learning.These three aspects are described in the following sections.I-A. StandardsTo make the content of the supplements as accessible as possible to the student, we believe thatthe instructor should standardize file formats and style. Issues of style might
. Parents and students understand this when accepting positions in the academy. It isProceedings of the 2003 American Society for Engineering Education Annual Conference & ExpositionCopyright © 2003, American Society for Engineering Educationalso important during the academy to make sure that the students get enough sleep. Teenagersneed a lot of rest and can be very cranky when they don't get the proper amount. Stayingfocused on mathematics is particularly difficult if one has been up too late with new friends.Therefore, a good schedule will include enough free time and activities so that the students canchat and get to know each other without staying up too late at night. Building and programmingLego robots is a good activity for this. On the
&M University – CorpusChristi. Dr. Dannelly's interests are in software engineering, environmental modeling, and involving undergraduatesin research. Dannelly's most recent funding has come from NASA, NSF, and the U.S. Army.MARIO GARCIA is an Assistant Professor of Computer Science at Texas A&M University-Corpus Christi.. Hisinterests are artificial intelligence, expert systems, neural networks, robotics and software engineering. He hasimplemented industrial applications of expert systems in several cities in Mexico, and in Houston, Tex. He is alsointerested in the use of technology to improve teaching.SREEVANI PELALA is an Adjunct Professor of Computer Science at Texas A & M University, Corpus Christi.Her interests are in the