field; to apply and integrate knowledge from each of the above four elementsof the field using experimental, computational and statistical methods to solve materialsproblems including selection and design.”1 Yet, for students beginning their studies in Materials,this integrated understanding is difficult to achieve; achieving an understanding of how newconcepts and methods connect to each other can be a challenge that delays their overallunderstanding of Materials Engineering as a discipline. As they struggle to understand therelationship between any material’s properties and the chemical and molecular structure thatgives rise to those properties, they can often lose sight of the contexts in which the materials’properties matter, the patterns
that remain as well as new challenges that arise as each collaboration continuesto evolve will be discussed.IntroductionThere has been an explosive growth in multinational collaborations in higher educationrecently, with a number of UK universities engaged in programmes around the world. Therewere approximately 571,000 students outside of the UK, enrolled in a degree programmeawarded by a UK higher education institution (HEI)1. More than 50 UK universities havepartnerships in Singapore with over 52,000 students enrolled in undergraduate andpostgraduate degree programme2. UK HEIs are similarly active in transnational education(TNE) in China. Slightly more than 25% of all Sino-foreign undergraduate programmesinvolved a UK HEI as of 20133.The
affordability of homes that combine energy-efficiency with solar energy systems.One of the initiating reasons for the development of the Solar Decathlon was to “demonstratemarket-ready technologies that can meet the energy requirements of our activities by tapping intothe sun’s power.” 1 Unfortunately, due to the scoring rubrics for the competition, the affordabilityaspect of the competition was often given only superficial consideration. In 2015 the houses inthe Solar Decathlon competition averaged $287,000 (for houses that were less than 1000 squarefeet) with the winning house costing $290,776 ($291 per square foot). The most affordable housein the 2015 solar decathlon competition was a 680 square foot house that cost $176 per squarefoot.2The 2013
Paper ID #15903Using Card Games for Conditional Probability, Explaining Gamma vs. Pois-son Distributions, and Weighing Central Limit TheoryDr. Roes Arief Budiman P.Eng., University of Calgary Received PhD in Materials Science and Engineering at University of Toronto in 2001. Currently a Senior Instructor at University of Calgary and have been teaching Probability & Statistics for Engineers course in the past three years. Maintain a small research group (1 PhD, 1 MEng) on pipeline failure and reliability. c American Society for Engineering Education, 2016 USING CARD GAMES FOR CONDITIONAL
“PETE”,displaying the familiar #1 recycling code on the base of the cup.1 Plastic cups are typicallyprocessed by a molding method known as thermoforming, in which a thin sheet of PETE isheated and expanded into a cup-shaped mold cavity by either applying a vacuum or mechanicalpressure.2 This processes causes significant stretching of the sheet, as shown in Figure 1. Theshape is then cooled, released from the mold, and trimmed from the sheet, forming a stand-alone,solid plastic cup. Figure 1: Side-view schematic illustrating the three basic steps in a mechanical thermoforming process used to make a cup from a hot plastic sheet.As described in a recent study3, the thermoforming-induced stretching of the PETE sheet to formthe cup’s
complexity of the discrete system exceeds a certainlimit, and a summary then closes the paper.Mass spring system and continuum limitTo better understand the physics of such a system it seems to be convenient to employ a one-dimensional system consisting of particles aligned in a straight line. The model can beimagined as beads mounted on a thin wire and connected to neighboring beads by springs(Figure 1).Figure 1: Schematic diagram of a one-dimensional coupled system of masses and springs.The particles have the masses mi and all the springs connecting the particles shall have equalspring constants k. If the equilibrium position of the ith particle is xi, then its position whendisturbed from equilibrium can be denoted xi + ui. In other words, ui(t
and Analysis of Control Systems course, and an undergraduate and graduate levelIntroduction to Mobile Robotics course. In Section IV we present post survey results collectedfrom the students and discuss potential improvements to be implemented in subsequent versionsof the platform. Finally, we present concluding remarks in Section V.II. Platform DesignIn an effort to create a low-cost experimental platform that could be used for multipleengineering courses, we decided to use recycled 0.25 inch plywood to create a reconfigurablebase chassis. The base chassis was designed by a team of 4 members including, 2 students (1undergraduate and 1 Ph.D. student), 1 research associate, and 1 teaching faculty.As part of the design constraints the platform
their own research (Seman, 2006). 1 Marine Mechatronics Applications Recent naval combatant innovations have led to the development of Autonomous SurfaceVehicles (ASVs), for the purpose of more enduring, reliable, and autonomous missions(Huntsberger & Woodward, 2011). Swarm boats are a recent development in ASVs. They serveas auxiliary protective mobile boats that can help the main vessel navigate ocean systems in asafer way. These “drone boats” function to swarm a vessel that would attack the main boat. Theyhave appropriate technology, such as Control Architecture for Robotic Agent Command andSensing (CARACaS). This includes sensors and accompanying software that react if
builds upon previous labs detailing theUSV model and path planning using potential fields. The USVs are simulated in coordinatedmovements and in a coordinated search pattern. The system of USV systems is simulated in Matlab.This exercise introduces students to biomimetics and artificial intelligence methods such as modelsfor flocking behavior or swarm intelligence. The group of vehicles’ coordinated paths and controlcan be augmented utilizing data from a WSN to ensure a more efficient path. The efficacy of theassignment is demonstrated through student engagement in the exercise.1. IntroductionStudent involvement in design or simulation increases student attention and interest.[1]-[5] In thisproject, students were given the theory for simple
mode.3 Thisapproach, however, has yet to overcome the following critical shortcomings. 1. The Black-Scholes Formula is based on one discrete up or down movement of an underlying asset in a European call option without dividends (i.e., it can be exercised only at the maturity, implying a single period). This is clearly not the case for numerous engineering projects as there are many decision points before the “maturity” when decisions can be made or real options unfold (e.g., if the electric power price becomes too low, the power plant’s option to contract its operations becomes viable). 2. To mimic the evolution of the underlying asset value, a multi-period binomial lattice
enthusiastic about the potential forEngineering Economy (EE) when integrated at that level. Specifics will emerge from seven topicswherein Engineering Economy and the system level are shown to interface in a significant way.Specifics about these interfaces are addressed by EE@SL comments provided in each text box.I. Recognizing and Addressing the System LevelThe purpose of this paper may be realized most directly by recognizing the system of interest tobe the world in which we live. We observe the natural, the human-made, and the human-modifiedworlds to be interconnected sectors as illustrated in Figure 1. Of these, it is the human-modifiedworld that should be adopted as the highest-level system of concern. This section is devoted todescribing EE@SL
entrepreneurship, one would have to believe that engineering economy is thatcourse, Figure 1. The literature clearly shows evidence of engineering economy being at thecrossroads of engineering, business, and entrepreneurship. “The importance and relevance ofengineering economic analyses is always emphasized when students discuss their projects withpracticing engineers. Without this interaction students sometimes consider economics to beirrelevant to design – a subject for business students,” noted by Archibald, Reuber, and Allison3.Figure 1: Engineering Economy: The course that is at the crossroads of business, engineering, and entrepreneurship.Engineering education literature has continuously shown that projects with industry can behelpful for
these rankthe laboratory component’s ability to contribute to the direct assessment of multiple studentoutcomes. Consistent with this, many programs seek ways to introduce such activities into theirprograms of study. As strong as these motivations are, programs may encounter the followingobstacles to creating additional laboratory components for a program of study: 1) Space constraints 2) Faculty member time constraints 3) Student scheduling constraints 4) Financial constraints on the purchase of laboratory equipmentEven if these constraints are satisfied partially or completely, there is still an opportunity costassociated with each of these constraints; a program that is able to re-purpose or build new spacefor a laboratory
response to theneeds of the maritime stakeholders from military, government and industry, Old DominionUniversity is expanding its faculty, research, curriculum, facilities infrastructure, and studentengagement programs.This paper discusses Old Dominion University’s distance learning curriculum for marineengineering education. This initiative is being carried out in response to industry and Navydemand to maintain a professional marine engineering workforce, such as reported by theNational Shipbuilding Research Program [1], and complements Old Dominion University’s highrate of success in distance learning and marine engineering education over the past 15 years.Prior to 2016, two marine engineering courses were developed for, and launched in, a
, Human Factors, Ergonomics and Safety. Category 10 has the most relevanceto an ergonomics course, although as discussed earlier, some IE programs may combine topicsfrom Categories 10 and 11 in one course. There are 8-12 exam questions drawn from Category10 (7-11% of the FE Exam). The relationship between this list of topics and IE curricular contentwill be further discussed in the next section of this paper. 1. Mathematics: 6–9 questions 2. Engineering Sciences: 5–8 questions 3. Ethics and Professional Practice: 5–8 questions 4. Engineering Economics: 10–15 questions 5. Probability and Statistics: 10–15 questions 6. Modeling and Computations: 8–12 questions 7. Industrial Management: 8–12 questions
startup. The vision for the course was to leveragethe experiences of a wide variety of faculty entrepreneurs that would inspire scientists how tomake an impact on the world through translation and commercialization of their research.Attention was given to developing a course that addressed the wide range of complexities andrealities associated with technology commercialization and entrpreneurship in a way thatdifferentiated it from other entrepreneurship offerings. These occur on two levels: 1) thedifferent nature of early-stage commercialization which is characterized by multi-year timelines,high levels of investment, and complex challenges related to commercialization strategies; and 2)the reality that involvement in entrepreneurship requires
is contrasted with traditionalclassroom techniques. The assessment methodology and results are presented alongwith student reflection evidence.Program Goals The primary goals of the 3DS program are to teach students skills in the area ofentrepreneurship and to foster an innovative and entrepreneurial mindset on theuniversity campus. A number of outcomes are possible through the program both from astudent and a faculty/staff perspective (Figure 1). Figure 1: Potential outcomes from a 3DS event for both students and faculty/staff.Program Structure The program centered on a three day experiential learning activity starting on a Fridayat 4PM and continuing until Sunday night at around 8PM (Figure 2). The bulk of
sections weredelivered in a hybrid/buffet mode, though significant modifications to online content occurredfrom Fall 2013 to Fall 2015. A thorough discussion of the historic course structure, components,and preliminary implementation results may be found in a recent journal paper.5 A summary ofFall 2013 course components is presented here, followed by a description of modificationsimplemented for Fall 2015.Fall 2013 Instructional Design StrategiesThe Fall 2013 course components may be categorized as: 1. Online Resources a. WileyPLUS, the online learning environment associated with Principles of Engineering Economic Analysis 5e by White, Case and Pratt6, consisting of a digital copy of the text as well as ungraded
opportunities for improvement inreaching goals. The program received good feedback on its pitch practice support in particular.Suggested improvements for future Catalyze CU programing included better development ofbusiness and financial acumen, a stronger effort to involve the local entrepreneurial community,and an improved effort in teaching participating teams how to assess their own projects.IntroductionIn 2015, the White House opened its doors for the first ever White House Demo Day, invitingentrepreneurs from across the country to demonstrate their innovations and share their startupstories.1 Formal entrepreneurship programs at U.S. institutions of higher education havequadrupled from 1975-2006.2 Engineering educators from across the county have
with students have providedanecdotal evidence of positive learning outcomes. Formal assessments has been undertaken todocument assessment of academic, life-skills, and civic responsibility outcomes of the studentengagement with the project.1.0 IntroductionAt University of Maryland Eastern Shore (UMES) efforts to develop autonomous robotic boatplatforms have been ongoing for the past few years [1-3]. These efforts were largely funded byMaryland Space Grant Consortium and NASA to promote design and experiential learningendeavors of undergraduate students at UMES in multidisciplinary team settings that parallelsimilar undertakings in the real-world. Collaboration among engineering and environmentalsciences faculty also resulted in providing
. Government.AbstractThe research objective of this paper is to evaluate predictors of success for a quality controlcourse for undergraduate engineering majors at East Carolina University. The 37 predictorsincluded demographic data (e.g., age, gender, race, academic major), records of success (e.g.,incoming GPA, performance in prerequisite courses, time between prerequisite courses and thequality control course), and additional course indicators (e.g., class time of day, studentattendance, performance on Test 1 versus overall). This quality control course is evaluated overa three year period with five offerings (sections) by the same instructor for 127 students. Theresults indicate that the time between the prerequisite course and the quality control course is
assessments) in a FoodProduct Development capstone course for Food Engineering students at Universidad de lasAméricas Puebla (UDLAP). This course was designed in order for them to experience a realwork environment, where they have the opportunity to think and act as experts in the field do,and included several problem-solving learning environments (PSLEs)1. Course main goal is thatstudents design and develop a new food product involving idea generation, formulation, processselection, nutritional facts and label, shelf-life estimation, costs, sensory evaluation, among manyothers aspects of its development. Students were organized into teams of two members; thegroup had a total of eight students (3 male). Course activities were designed for student
others.MethodologyThis is a review paper that examines the various challenges, approaches, ideas, and insights thatcan enhance entrepreneurial education as shown in Figure 1. What constitutes an entrepreneurshipprogram in terms of content and teaching approach continues to be a subject matter for discussion(Garner, 1990). The reason for this is because of the tendency for various countries and theireducational institutions to design entrepreneurship education typically in line with their peculiarneeds instead of copying what has been implemented and tested in another place. Strategic Challenges Approaches
, andidentifying unexpected opportunities to create value. The Kern Entrepreneurial EngineeringNetwork (KEEN) defines curiosity, connections and creating value as three core components ofan entrepreneurial mindset. These 3Cs coupled with associated engineering skills forms KEEN’sentrepreneurial mindset framework. An entrepreneurial mindset enables engineers to developsound technical solutions that address customer needs, are feasible from a business perspective,and have societal benefit.The Tagliatela College of Engineering at the University of New Haven is working to develop anentrepreneurial mindset in its engineering students through a four-faceted framework based onKEEN’s constructs that includes: 1) developing an entrepreneurial mindset amongst
. The company has a vast operation which includes planting,harvesting, storing, sorting, packaging and shipping sweet potatoes. Student teams wereassigned a specific operation with the packaging facility. Each student team had to develop atleast one operations recommendation and one ergonomics recommendation based on theirobservations and collected data.Figure 1 shows examples of student work from this first semester, and Figure 2 shows a studentteam presenting their work at our end-of-semester project showcase. Working with communitypartner #1 had a lot of benefits: multiple operations, industrial setting, and a highly cooperativeworkforce. Some of the disadvantages included distance to reach the facility (approximately 60miles), limited data
experiment also allowed students to relate the results of the experiment to the designproblem. The results of the research show that walking adversely affects productivity yetcomparing seated and standing postures yields mixed results. For more simple tasks, the idealposture is sitting while for more complex tasks the worker should be standing for improvedproductivity. The ergonomics class was enhanced by the discussions about the tradeoffs ofvarious factors in workplace designs that are relevant in the application of this topic to real-worldexperiences.1. BackgroundFaculty members teach the importance of contemporary topics for undergraduate engineeringstudents by sharing research in various ways. Active participation as a research assistant with
exams had 40 questions, comprised of about 28 multiple choice, 7 true or false,and 5 fill in the blanks questions. The study guide for both exams only talked about the topicsfrom which the exams were prepared, and both exams covered different topics with no overlaps.The exams were also conducted for the same students in one semester. Both exams were scoredout of 40 points, with an average of 35 and 32 points respectively for Exam 1 and Exam 2.The cheat-sheets were collected after both exams to ensure that the page limit was not abused,and also for this analysis. The instructor, acting as an expert system, studied the cheat-sheets todetermine if the information provided by the students on the sheets could be used to correctlyanswer 50% of the
havecollected over the years. In addition, we have built in opportunities for students to specify,design, and assess the quality of their own work.The merged requirements and architecture course leads into a two-semester capstone seniorproject. This senior project engages students and external sponsors in an end-to-end,requirements-to-delivery project. Requirements engineering and architecture design are centralto this team-based senior project, and the merged requirements and architecture course givesstudents the system-wide problem-space/solution-space mindset necessary to succeed in theirsenior projects.Course StructureThe merged requirements and architecture course is designed with three main threads that occurin parallel, as Figure 1 shows. We use
he worked with Cisco customers designing and deploying core Internet designs and technologies. In 2005 Mr. Smith earned a master’s degree in Computer Science from Colorado State and 1 year later left industry to teach engineering at Oklahoma Christian University. Mr. Smith’s emphasis is in first year student success, mentoring young engineers, and data communications. He consistently scores well in student feedback and enjoys regular strong relationships with his students and classes. c American Society for Engineering Education, 2016Adding Software Engineering Emphasis to an ECE curriculumAbstractThis paper describes a project conducted at Oklahoma Christian (OC) University to add
, describes the project, and connects these concepts to studentlearning and a summary of the outcomes.2 Software engineering foundationSoftware engineering is a vast collection of theory and practice with the goal of producing thehighest-quality software at the lowest cost. It shares many characteristics with traditionalengineering design processes, but for the purposes of this work, the following elements are theemphasis. In particular, this course promotes the Agile methodology, which is supposed toachieve the same results without imposing onerous, administration-heavy overhead.1 Agile is nota substitute for proper planning and execution, however, so this freedom demands discipline,which is generally lacking in students at this stage of their