MethodsThis particular curriculum review uses a two-pronged approach. The first method isdistribution of surveys to both the manufacturer prior to and after completion of thecapstone project. The second method is distribution of surveys to the student before theproject begins and once it is complete.Before starting his or her supervision of the student project, the manufacturer answers aseries of questions about the core skills desired in a prospective new hire technologist.These skills fall under the following general categories: computer, math and analytical,writing and communication, safety, and general abilities (which are all soft skills). Eachof these skills can be rated on a scale between critical (5) and unnecessary (1). Forexample, the
,no studies have been conducted to investigate the associations between the faculty technicalcurrency and student learning and success. Therefore, an investigation is warranted to explorethe relationship between student learning/success with faculty technical currency.Khan, Karim, Gloeckner, and Morgan 1 conducted a national survey to: (a) gauge the status ofprofessional development activities vis-à-vis faculty technical currency at personal, departmentaland institutional levels in the domains of engineering technology, and (b) determine predictorvariables for maintaining faculty technical currency. The survey was conducted through theASEE ETD (American Society of Engineering Education, Electronics Technology Division)listserv which (in
rewarding gets done.'”Lucas10 states that department chairs have the responsibility to motivate faculty to (1) enhanceproductivity, (2) teach effectively, (3) increase scholarship, and (4) increase service. Sheprefaces this chapter with a description of the three types of power through which chairs canmotivate faculty (i.e. position power, personal power, and expert power) and “influence facultyto create a match between achieving departmental goals and attaining individual goals.” Thecollective experiential knowledge of the authors suggests that motivating faculty is much morecomplex than the use of power to influence change and that insights into faculty motivation canbe gained by understanding the nature of the academic work of faculty members
boardsconsider the public interest, and have resources and requirements which can help define expectedconduct to guide academic and industry practice.Bibliography1. Sheridan, John, “Bullish on Iridium”, Industry Week, June 21, 1999 ; http://www.industryweek.com/CurrentArticles/asp/articles.asp?ArticleID=566.2. ABET Engineering Accreditation Commission, Criteria for Accrediting Engineering Programs 2004-2005, November 1, 2003; http://www.abet.org/images/Criteria/E001%2004-05%20EAC%20Criteria%2011-20-03.pdf3. Koch, K. (2000, September 22). Cheating in schools. The CQ Researcher Online, 10, 745-768. Retrieved December 4, 2004, from http://library.cqpress.com/cqresearcher/cqresrre2000092200. Document ID: cqresrre2000092200.4. Kansas
the extent to which graduatescan accomplish the following 12 indicators: (1) In an environment of uncertainty and change, identify needs that can be fulfilled via engineered solutions. (2) Define a complex problem, accounting for its technological, political, social, and economic dimensions. (3) Determine what information is required to solve a problem; acquire that information from appropriate sources; and, when available information is imperfect or incomplete, Page 10.704.1 formulate reasonable assumptions that facilitate the problem solution. Proceedings of the 2005 American Society for
Session XXXX An Inter-University Collaborative Undergraduate Research/Learning Experience for Product Platform Planning Timothy W. Simpson1, Robert B. Stone2, Steven B. Shooter3, Janis P. Terpenny4, and Soundar R. T. Kumara1 1 The Pennsylvania State University / 2University of Missouri- Rolla / 3 Bucknell University / 4Virginia Polytechnic Institute and State UniversityAbstractProduct Platform Planning is an emerging philosophy that calls for the planned development anddeployment of families of related products. It is markedly different
Machine Learning modules in sophomore and junior undergraduate classes, in an effort to recruit students for our senior level classes (Current Topics in Machine Learning I (CTML-I) and Current Topics in Machine Learning II (CTML-II)). This paper focuses on discussing our experiences in teaching these senior level classes of CTML-I and CTML-II.1. Introduction Page 10.1031.1In the last decade there has been an explosion of research in machine learning. A contributingfactor is that traditionally independent research communities in symbolic machine learning, Proceedings of the 2005 American Society for Engineering Education Annual
had already been discussed with company contacts and approved by the Director ofUndergraduate Studies. Examples of the seven projects include: 1. designing the template for Standard Operational Procedures for a home décor company 2. working to ameliorate the on-time record of the local train system 3. suggesting alternative approaches to reduce the shrinkage of the inside walls of jets, for a jet manufacturer 4. enhancing the efficiency of the distribution system, for a delivery organization.In this Senior Design course, instruction on conceptualizing audience included three guides to bedescribed in detail below. The instruction was integrated into the course as follows: 1. Early in the semester, a
are compared for appropriate selection.2. Literature on software selectionThe simulation models currently developed can be classified into three categories: (1) the generalpurpose language (FORTRAN, C++), (2) simulation programming (SIMAN, GPSS/H) bothneeds powerful programming knowledge and skill, and (3) simulation environment (Simul8,AutoMod) that uses graphical user interface2. According to 2002 IIE Solutions SimulationBuyer’s Guide, 25 of them claim to work well for process control, 32 for scheduling and 38poses best animation3. The simulation tool developed by different vendor provides variety ofapplications. But, not all of them emerge as the best tool for any given situation. One dominatesthe other given the real situation and the
the two surveys’ results indicates thatparticipants gained much knowledge as a result of attending the workshop. Hopefully thisincreased knowledge will ultimately result in the retention of these women and minorityengineering faculty.BackgroundAccording to the U. S. Bureau of Labor Statistics, overall engineering employment is expected togrow more slowly than the average for all occupations during 2002 to 2012 [1]. Despite this,overall job opportunities in engineering are expected to be good because the number ofengineering graduates should be in rough balance with the number of job openings over thisperiod. Employment of mining, petroleum, nuclear, and geological engineers is projected todecline, while other engineering disciplines, such as
Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering EducationIt is important that a learning environment is engaging for all students. The use of multimediaand instructional tools can assist with supporting multiple learning styles. The hurdle for non-auditory learners is processing verbal definitions and extrapolating a mental picture. Studentstaking a technical class may encounter complex engineering verbiage. For example a visualrepresentation (see Figure 1) may assist some students of grasping the concept of a band passfilter which is defined as follows: A filter that blocks or attenuates signals at frequencies outside of the specified low pass and high
: Page 10.39.1 1. Programming languages a. Knowledge of designing and implementing computer programs using various techniques, such as algorithm development, flowcharts etc. b. Knowledge of at least one procedural programming language. c. Knowledge of at least one objective-oriented programming language (possibly an extension of the procedural language). d. Knowledge of at least one assembly language. 2. Embedded Systems a. Knowledge of programming embedded systems in HLL and assembly. b. Knowledge of designing embedded systems. c. Knowledge of interfacing embedded systems to real-life sensors and actuators. 3. Digital
students would adjust to the non-traditional style.Course Block History and DesignThe Olin College curriculum provides a strong foundation in engineering, mathematics, andapplied science subjects and promotes development of engineering analysis, diagnosis,modeling, and problem-solving skills. In addition to student attainment of technical expertise,the curriculum emphasizes student growth in the key areas of design, communication,entrepreneurship and opportunity assessment, and arts, humanities, and social sciences. The firsttwo years of a typical course of study are shown in Figure 1.Integrated Course Blocks. Many of the distinctive features and goals of the Olin curriculum areincorporated in Integrated Course Blocks (ICBs) offered early in the
processing machines. They are used to create high tolerance, good surface finish, and complicated 7 parts. A representation of a PIM machine can be seen in Figure 1. Most PIM machines are powered by hydraulic pumps (1). Some new machines are powered by DC servo motors. The process starts with 1/8 inch diameter pellets fed into a hopper (2). There is a reciprocating screw that rotates and augers the pellets from the hopper to the front
intelligentalgorithms form part of the field of Artificial Intelligence (AI) [1]. Just looking at this widevariety of AI techniques, AI can be seen as a combination of several research disciplines, forexample, engineering, computer science, philosophy, sociology and biology.There are many definitions to intelligence. The author prefers the definition from [1] -Intelligence can be defined as the ability to comprehend, to understand and profit fromexperience, to interpret intelligence, having the capacity for thought and reason (especially, to a Page 10.454.1higher degree). Other keywords that describe aspects of intelligence include creativity, skill
Frequency o Interpretation of analysis report. o Documentation procedures.One additional course, “Root Cause Analysis”, was recommended by KSU to the manufacturingcompany. This course would provide a methodical process for maintenance staff to address newand existing problems. The manufacturer has not been enthusiastic about this course, thus it hasbeen set aside for the current time.Workshop FeedbackCourse evaluations were conducted. Questions were posed utilizing a 1 (strongly agree) to 5(strongly disagree) scale. Evaluations from the “Introduction to RCM” class included thefollowing items.Evaluation item: Evaluation ScoreThe content was relevant to me
SOLVING COMPLEX SYSTEMS USING SPREADSHEETS: A MATRIX DECOMPOSITION APPROACH Kenneth E. Dudeck, Associate Professor of Electrical Engineering Pennsylvania State University, Hazleton CampusAbstractMany problems in engineering design and analysis, such as sinusoidal driven electricalcircuits, produce a set of complex linear simultaneous equations. This set of equationsform a complex system. Many algorithms have been developed to solve this system byfinding the complex matrix inverse. [1] – [4]This paper describes an approach using a spreadsheet, such as Excel. By using thisapproach, students can use the spreadsheet without the additional cost of purchasingadditional software. Excel does
real-timeimplementation of a given control theory. Moreover, a survey done in 1999 by ITRON [1]shows that performance, proved track record, industry usage and reliability are the main criteriafor the selection of an operating system for a given control engineering project. In this paperMatlab and LabVIEW are explored as an integrated environment since they are commonly used Page 10.210.1 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Educationin industrial and academic context and they show good performance at
the authors viewed ABC News’ Primetime Live program anddetermined it addressed this exact subject. The segment compared the performance of UnitedStates high school students with those of other countries. The dismal results were amazing asnoted in the abstract. A recent study by the Program for International Student Assessmentarrived at the same conclusion. (1)The authors then attempted to translate the findings highlighted in the Primetime Live programinto a very practical and meaningful way for the Engineering Technology students at theUniversity of Pittsburgh at Johnstown. The result of this effort required students to becomeactively engaged in real life learning by having them simulate problem solving methodologiesthey would incorporate
lecturetopics is designed to take approximately 1 hour, including class discussions of each topic. Theclass semester begins with an overview of lean manufacturing starting with the ToyotaProduction System (TPS), including the importance of Lean Manufacturing in the industry. Theroles that each individual within a corporation plays from the CEO to the hourly workers is alsodiscussed and explored. Since Lean Manufacturing can be considered a mixture of manytechniques and methods, it is important to display to the students how the lean system may bestructured such that the information presented in class will follow a logical path. Page 10.870.2
college. Use of theePortfolio is an important part of the assessment component of this 3-year long study.IntroductionA portfolio is a purposeful collection of artifacts to demonstrate effort, progress, andachievement. Within an educational setting a portfolio can be prepared in the context of acourse, a program, or an institution; the author of the portfolio can be the student, a facultymember, an administrator, or an organization (department, program, etc.); and the purpose of theportfolio may be developmental, evaluative, and/or representative.1 With the ever increasing useand advancement of technology, the electronic portfolio (ePortfolio) is emerging as a viableoption to the traditional paper portfolio. The University of California, Berkeley
the force of the personalities of students who presented them.Thus, we have concluded that axiomatic design helps capstone teams produce higher qualitydesign projects.1. IntroductionThis paper explores benefits and issues associated with incorporating Axiomatic Design into acapstone design experience. Specifically, we wanted to determine if Axiomatic Design couldalleviate difficulties encountered when using a traditional algorithmic approach to design. Wefocused on the problem definition, solidification of the conceptual design, and the completion ofCAD drawings that identify design parameters that satisfy functional requirements.In the traditional algorithmic approach, which has been used with over one hundred capstonedesign projects at the
the real world of industry with hands on experience simultaneously with theeducation they receive at school.IntroductionCooperative education (co-op) has come a long way since its inception in 1906, but this journeyis far from over [1]. As our global market changes to more competitive state of affairs, theco-op educators need to encourage more employers to develop quality co-op programs. Thiscan be done successfully with some innovative approach among high schools, universities andindustries. The high school students or teachers can go for work-based learning experiences inindustry and get credit during the summer. This could be through an internship /apprenticeshipprogram at the universities or two-year colleges. This will help students make
the grant is awarded, the school will receive the funding in August so that theproject can start in the fall semester. The problem statement of the project was to build and test a test stand for demonstratingthermodynamic process of air-vapor mixtures. Thus, the students did not need to identify theproblem statement as it had already been decided for them from the project description. The teststand is to be used as a laboratory experiment in MEEN 3210 Measurements Lab course. As forstudents, the goal is to design a chamber that takes air through four processes: heating, cooling,humidification, and dehumidification (Fig. 1). Some of the design issues that were consideredwere noise, manufacturing time, cost, and performance. Noise is the
that includes a demonstration of the project is also required and this counts for 25%of the grade. Additionally, each student also writes a “journal-style” paper regarding oneparticular technical aspect of the project. This contributes the remaining 15% of the course Page 10.244.1grade. “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education”Electro-Optics CenterThe Electro-Optics Center (EOC) [1] is a research facility located at Freeport, PA and is devotedto the development of silicon carbide (SiC
A Novel Scheme for Teaching Diversity Skills to Students in the Technological Sector Dr. Saeed M. Khan and Dr. Beverlee Kissick College of Technology and Aviation Kansas State University-SalinaDIVERSITY AND INDUSTRY:It is now widely accepted that diversity has business implications, and that the properhandling of diversity is crucial in a global economy. Major U.S. corporations havesupported the University of Michigan’s pro-diversity admissions policy [1]. Intel is anexample of a successful company that has had a multicultural training program [2] since1983. Intel’s program initially designed to help foreign-born technologists succeed
students seethe interconnections between the various disciplines and understand how physics andmathematics are used in engineering to solve problems. Mathematics is using theCalculus (Harvard Calculus) text by Deborah Hughes-Hallett, et al. (1) This text saysthat each topic should be presented “geometrically, numerically, and algebraically.” ThePhysics Department is using Physics for Scientists and Engineers: A Strategic Approachby Randall D. Knight. (2) His stated approach to problem solving is to ”model, visualize,solve and assess.” Both of these books counsel not to do the algebra until problems aredefined. However, most students in the FEH program come from high schools where theemphasis was on finding the correct formula and then plugging in
engineers analyzed “real” dynamicsystems. It seems my sense was not unique, as recently as 6 years ago an in-depth study of 12engineering programs found “computers are usually not used effectively in undergraduateengineering science courses. Often, they are not used at all” [1].In order to open up an introductory dynamics course to less idealized analysis than is typical inthe text books, I have included several problems requiring numerical differentiation and othernumerical analysis assignments culminating in a multi-body simulation project. These activitieswere designed with several goals: • Introduce students to the types of tools used in practice. • Allow students to work on more realistic problems of particular interest to them
study was undertaken at MIT to find out mechanicalengineering students’ ability to perform simple engineering estimations. The estimationquestions posed to students in their survey related to energy in a small battery, drag on abicyclist, and power output of a small motor. (The study also included students from five othertop-ranked mechanical engineering programs, as well as practicing mechanical engineers forcomparison purposes.) The study culminated in a Ph.D. dissertation by Linder [1] and resulted Page 10.587.1in a number of publications [e.g., 2 and 3]. The reader is encouraged to consult with these Proceedings of the 2005 American
top mid-size section in the nation! The authors willdescribe how and why the Section grew in members, its activities, and how its managementsystem came to be. They will also discuss how the organization is developing leaders, increasinginterest in engineering, and helping to retain women engineering students in the Fulton School ofEngineering.Key Words: Recruitment and Retention of Women Engineering Students, Society of WomenEngineers, Student Leadership, Student Outreach by Students, Women in EngineeringI. IntroductionThe Society of Women Engineers (SWE) Student Section at Arizona State University (ASU)was established in the fall of 1976. In 1976, 1,317 (3.4%) of the 38, 790 Bachelor’s degrees inengineering in the nation went to women.1 That