chemical process design course, process safety is the subject of the entire first exam(16% of the grade). Approximately two weeks are dedicated to detailed coverage of processsafety concepts including: Basic Concepts (Prevention/Control/Mitigation/Isolation, Globalincident history, Federal regulations and industry initiatives, Pyramid Principle), Case Studies ofIncidents, Process Safety Management (HAZOP Technique, Hazard identification), RunawayReactions, Explosions and Fire Fundamentals, and Dust Hazards and Explosions. To provide anexample of the level of detail, one of the questions asked on an hour exam is shown in Figure 1.In Process Design and Development, the learning objective is: Be familiar with process safety issues involved in
Critical Operations curriculum. The goal ofthe curriculum is to provide industry with a workforce that has the electrical, mechanical, andinformation technology skills necessary to support critical operations in the healthcare, datacenter, automated manufacturing, and energy sectors. [1] One goal of the work is thedevelopment of remote automation exercises that would enable geographically distributedstudents access to valuable electromechanical and programming lab experiences. [2,3] Anothergoal is to introduce them to remote troubleshooting, where their initial corrective or investigativeactions would be taken from a remote control station instead of in proximity to the actual setup.[4,5]The electromechanical systems chosen for these exercises
-preparedstudents and students from under-represented groups. Page 26.578.2 c American Society for Engineering Education, 2015Effect of Student-Centered Programs on Retention of Engineering Students Page 26.578.3Background/RationaleRecent research indicates that engineering students tend to leave their major at a rate similar tostudents enrolled in the humanities, business, and education. However, students who changemajors are then far less likely to select engineering as their next career choice.1 This relativeoutflow without a
data rich, object-oriented, intelligent andparametric digital representation of that facility [1]. BIM is the process of using a buildinginformation model, or virtual building model, to support activities that take place throughout thelife of a building. The model used during the process contains different types of information tosupport those activities [2]. BIM optimizes team collaboration, enabling project managers to more reliablycommunicate project’s intent to all stakeholders. It is therefore important for industry andacademic institutions to work in partnership to understand the level and skillset required forimplementation of BIM in the industry. BIM has grown in popularity and use over the past decade. The advantages to
design coursesfocused on creating and fabricating assistive technology products for individuals with disabilitieshave become increasing common over recent years 1-3. This paper describes an innovativeteaching approach through which engineering students and doctor of physical therapy (DPT)students came together to design and build a power mobility device that allows young childrenwith severe motor, cognitive, and communication deficits the opportunity to move and exploretheir environment in a safe and effective manner.Engineering Course Overview Within the engineering design course at our University, concepts related to needs analysisand problem definition; design criteria and critical parameter identification; and consideration
Education, Life time member Society of Manufacturing Engineering, American Society of Mechanical Engineers PUBLICATIONS (i)Most Closely Related [1] W.J. Stuart ’Problem Based Case Learning - Composite Materials Course De- velopment – Examples and classroom reflections’ NEW Conference, Oct 2011 [2] W.J. Stuart and Bedard R. (EPRI) ’Ocean Renewable Energy Course Evolution and Status’ presented at Energy Ocean Pacific & Oregon Wave Energy Trust Conference, Sept. 2010. [3] W.J. Stuart, Wave energy 101, presented at Ore- gon Wave Energy Symposium, Newport, OR, Sept. 2009. [4] W.J. Stuart, Corrosion considerations when designing with exotic metals and advanced composites, presented at Corrosion Conference of Exotic Met
Mathematics Education for the last 6 years and saw significantretention improvement in all three majors: Civil Engineering, Electrical & ComputerEngineering, and Mechanical Engineering programs. Students in those three majors came from adiversified high school math background, ranging from AP calculus to basic Algebra. Studentswith weak math background have one thing in common: they all struggle with trigonometry, akey engineering skill for success in all three majors. To equip students with necessary trig skillsin our first engineering math course taught by engineering professors, we implemented a threestep approach in our class: (1) Made a connection between the classroom trigonometry calculations with the robotic welding operations on
technical support (if any) is available to students during that time? Q5: How do you handle liability issues? Q6: Is yours a 2-year or 4-year institution? Q7: Are there any special issues we should pay attention to?2. ResultsThere were a total of 33 responses received and the results are summarized in Table 1. Therespondents are anonymized by assigning them individual identification numbers rather thanusing personal or institutional names. Not all respondents addressed every question and a blankentry indicates that no response was given to that particular question. Two of the respondents(ID# 5&6) were from the same program and so the corresponding data is aggregated. Onerespondent (ID# 23) did not give direct answers to the
26.1170.1 c American Society for Engineering Education, 2015 Fundamental: Motivating Factors for Choosing Engineering among Minority StudentsIntroduction Minority populations continue to be underrepresented in the fields of science, technology,engineering, and math (STEM).1 Increasing the diversity in these fields must start with growingminority students’ interest in pursuing STEM undergraduate degrees. In 2009 less than sixpercent of undergraduate engineering students were African American, ten percent wereHispanic, and less than one percent were Native American.1 Klotz compares the need for diversity in engineering to the need for biodiversity in anecosystem in order to
asopposed to products.1 Innovation of products can also be dependent on the innovations arisingfrom materials either through new functionality or improved properties and performance. Oninnovation, a report by Royal Academy of Engineering offered that the long cycles of innovationwe now experience maybe a result of the incremental innovation practices of the past century.2We endeavor to remove these constraints by educating future engineers and scientists in thetheory and practice of innovation with a particular focus on materials.BackgroundWhile generally innovation is associated with products, materials themselves either providefunctional, mechanical or aesthetic attributes to these products. Materials can be viewed as astarting point or as a pool
Marketplace was created by the Systems Engineering Research Center (SERC) tohelp address a critical challenge of developing the next generation of systems engineering (SE)talent for future US DoD and defense industry needs. Given the scope of engineeringopportunities generated by the US DoD, and the increasing complexity of engineering projects intoday’s world, it is clear that the emerging engineering workforce needs to have anunderstanding of systems engineering processes and tools. According to a 2010 NationalDefense Industry Association, Systems Engineering Division study “The quantity and quality ofSystems Engineering expertise is insufficient to meet the demands of the government anddefense industry”.1 NDIA has identified this as the second
following couldbe shown as a very simple proof of Schrodinger equation :From the very basic classical mechanics, General Physics I Class students already know theWork – Kinetic Energy Theory : 𝑊 = ∆𝑘 = −∆𝑈 (1) Page 26.1520.4and at the same time for all conservative Forces we have : 𝜕𝑢 F=− (2) 𝑑𝑥Where ΔU is change in Potential Energy 𝜕2 x FNow
, and the enhancement of company branding/marketing andbusiness development through the visual attraction of the transparent factory operations.Research ObjectivesThe objectives of this research are (1) to enhance engineering management students’understanding of engineering management principles and practices through the use of atransparent factory design project as a term project to cover broader concerns of engineeringoperations, and (2) to investigate the effect of using this project to enrich students’ understandingof the current issues in engineering management and project management.Due to the growing trend of global business competition, the management of engineeringoperations has to involve issues in branding, marketing, and business
Accreditation Commission (EAC), the body responsible foraccreditation of engineering programs, changed the criteria for Civil Engineering programs toinclude a requirement that graduates of those programs “can . . . apply knowledge of . . . at leastone additional area of science, consistent with the program educational objectives”.1 This newrequirement appears to have its origins in the Body of Knowledge (BOK), and the desire to makethose ideals and the ABET requirements for Civil Engineering programs become one in thesame. However, for many programs across the country this became an issue of concern andconfusion. Taking its cue from the BOK the “one additional area of science” shortly becamedefined to mean a physical science, as opposed to a social
Page 26.1225.1 c American Society for Engineering Education, 2015 Persistence in Engineering: Does Initial Mathematics Course Matter?AbstractThis study is situated within a larger project that seeks to understand how students that start inprecalculus and struggle in their math courses persist and complete an engineering degreeprogram. The specific aims of this study are to determine 1) the extent to which students thatstart in precalculus persist in engineering after one year, 2) correlations between the grade inengineering students’ first math course and/or the level of that course and persistence inengineering one year later, and 3) the relative number of students that
tool.PROCESS is an acronym for seven stages of problem solving: Problem definition, Representing Page 26.1278.3the problem, Organizing information, Calculations, Evaluating the solution, Solutioncommunication, and Self-Assessment. PROCESS was offered to faculty as a learning aid theycould use in the first year engineering courses to focus on developing engineering problemsolving skills. Figure 1 depicts PROCESS as described to instructors before when decidingwhether to utilize it in their classes.Figure 1: Problem Solving PROCESS. Start with conceptualizing the problem (PRO), thencomplete Calculations and Evaluate the solution for reasonableness and
session.Keywords: flipped class, inverted lecture, pedagogy of engagement, active learning1. Introduction“Flipped” classes have surged in popularity over the last three years, driven by the ease ofrecording and posting video content for students to watch, and the need during class timeto compete with distractions from portable electronic devices. Evidence for the benefitsof flipping is starting to mount. Studies have shown improved learning in architecturalengineering and chemistry courses [1], economics [2], and biology [3], among otherfields. Many other studies report student perceptions of improved learning [1, 4, 5] .The instructor who desires to “flip” a class confronts two issues: how to locate or createcontent for use outside of class, and how to
the community projects mightbe just community engagement and not service learning. That is not the case. Thestudents involved in these projects are benefitting from all the four stages of learningdefined by Kolb (1984).Figure 1: Kolb’s model of experiential learning Page 26.1367.3 1. Concrete Experience: The students are going on field trips, organizing meetings with the project stakeholders, and presenting updates to members of the team at the sponsor. They will be making presentation with their results to the governmental agency and even to the public that will be affected by the results of the project. They are very actively
-book system provides not only common functions, but also features speed reading,intensive reading, main concept reading and professional knowledge database ofterminologies of embedded system. In additions, it offers various multimedia annotations andassistance learning functions. All students’ reading activities can be recorded in back-endlearning portfolio database of the e-book system. The information stored in students’ learningportfolios allows them to monitor their own reading progress, achievements and issues. Inthis study, we attempted to test the feasibility of the e-book system as well as to explorestudents learning behavior during the e-book-assisted reading. The following researchquestions were addressed in this study: (1) Do
Data Mining for Adverse Event Detection and Action RecommendationAbstractMany real-life data mining applications use sequence data modeling, in which data isrepresented as a sequence. A temporal sequence is a finite ordered list of events (t1,e1),(t2,e2), …,(tn,en) where ti represents time and ei represents the event taking place at time ti.ei takes place before ei+1 for 1≤ i ≤ n-1. This model can be used in data mining, calledsequence data mining, to predict certain event that may take place at a specific time.Sequence data mining has a wide range of applications. This data mining technique canbe used for prediction of adverse events and can recommend appropriate actions to betaken as needed. In aviation safety, the
. Keywords: continuous professional education, cluster, cluster approach,engineering staff Introduction Nowadays one of the priorities of the state policy in Russia is to create an innovativeeconomy characterized by enhancement of the role of scientific knowledge, innovativetechnologies, and availability of infrastructure, through which it will be possible to create anddisseminate new knowledge. Thus, professional education becomes a factor of socio-economic development of the regions and the Russian Federation as a whole [1-5]. Educational innovation and clusters that are based on the interaction of main actors –educational institutions, enterprises, and social organizations - play a special role in thedevelopment of the
industry. Moreover, nano-manufacturing technologies produce nano-materialwastes and nano-particle emissions that have been shown to produce more toxic effects onanimals than bulk materials due to the small particle size and large surface area-to-mass ratio12.In short, impulsive adoption of nano-manufacturing into large-scale industrial productions maypose a severe risk to human health and result in adverse environmental impacts.While the integration of macro-nano manufacturing has begun, and global application of suchmanufacturing systems are expected to expand into a broad array of industrial sectors in the future,the scientific investigations of the sustainability of integrated macro-nano manufacturing, asshown schematically in Figure 1, have
course that combines mechanical, electrical, and computingunder one platform. Most mechanical engineering programs include a mechatronics course tointroduce electronics, sensors, actuators, and computing to mechanical engineering students. Thisis an emerging field, and the scope of mechatronics varies from robotics to guided missilesapplications. Some institutions designed mechatronic programs to satisfy growing industry needsin this area1,2, while others make it a concentration area for mechanical engineering students3.Most institutions offer only one course in this area. Mechatronics prepares students to work in aninterdisciplinary engineering team and develop strong skills to solve complex problems thatcross disciplinary boundaries. Figure 1
direct them what to do. In the design challenge, the teams are very creativeand devise many unique solutions to the defined problem.RaPower 12, 13In the RaPower ETK, pre-college student teams design and build model solar cars. Through aseries of hands-on activities, they learn how solar cells and motors work: they conductexperiments and take measurements, analyze data, and draw conclusions. Figure 1 shows thetypes of solar cells used in this experiment. They determine which solar cells, motors and tireswould work best for their car. In one experiment, they use multimeters to measure the voltageproduced by three solar cells under four lighting conditions (ambient, incandescent, halogen, andsolar). Each team constructs a 3x4 matrix and enters
of Texas Rio Grande Valley Expertise in water quality and algal physiology and culture. Interest in use of algae as biofuel. c American Society for Engineering Education, 2016 Engaging Minority Students in Sustainable Bioenergy and Water Quality through an Education and Research Network Krystel K. Castillo-Villar1, Mauricio Cabrera-Rios2, Michael Persans3, Hudson Deyoe3 1 Department of Mechanical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249 2 Department of Industrial Engineering, The University of Puerto Rico Mayaguez, PO BOX 9000, Mayaguez, PR 00681 3 Department of Biology, The University of Texas
to society offer a highly effective vehicle for motivatingstudent interest in engineering and other STEM fields. Additionally current science standards –Next Generation of Science Standards (NGSS)1 - incorporate engineering design into thelearning objectives of science in grades K-12. However few classroom teachers have had thebenefit of exposure to engineering design before beginning their teaching career. Just like theirstudents, early exposure in the undergraduate curriculum that enriches future teachers’knowledge of engineering and technology and its relationship to the world would benefit thesecandidates.Project based learning (PBL) and the engineering design process are a natural pedagogical fit.PBL is focused on knowledge and
(DFW) fromthe course, has experienced near-constant improvements since Freeform and its ABC structureswere introduced. This improvement has not yet been empirically assessed, though the decrease inthe DFW rate is important because student persistence (defined as students’ continuance to thenext stage towards completion of their program) is a key challenge for many core engineeringcourses. In this study, the authors utilize rigorous cross-sectional regression methods todetermine whether this drop in DFW rates can be directly attributed to increased implementationof ABC features. More specifically, we ask the following two research questions: 1. Is there significant improvement in the DFW rate after controlling for other key student
undergraduate education—to (i) have hands-on coding skills at moreadvanced levels, (ii) be aware of how to orchestrate data and computational infrastructures, and(iii) know about contemporary tools and methods to analyze large datasets efficiently.1 IntroductionHealth Informatics is a translational discipline at-large. With recent popularity of big data inalmost every single health informatics field, from bioinformatics and medical informatics, topublic health, two particular skill sets have become increasingly important to train professionalsin these fields to deal with big data: (i) data analysis, and (ii) computational sciences. While mosthealth informatics programs have included courses to equip students with relevant data analysisskills, the
author to debrief and discuss the next steps.Results to DateOur summary of intermediate results (n = 8) is presented in Table 1. Our presentation of quotesprovides an example of how we mapped participants’ words (raw data) to the a priori themescorresponding to the CCW framework. Additionally, we include an example of an emergenttheme. The rightmost column in the table indicates whether the participant categorized theirstatement as an unearned advantage or disadvantage (or both). Table 1: Forms of capital and wealth salient in testimony data. Unearned Theme Evidence Advantage or
learning style preferences or simply habits that unconsciously dictate their instruction,evaluation, and assessment strategies. That is, we began this study expecting to see that facultyexam problems would reveal inherent biases weighted towards certain preferences.Statistical analysis was performed using an ANOVA followed by a Tukey-test, or Kruskal-Wallis with subsequent Steel-Dwass test as appropriate, all at a significance level of 0.05.Results and Discussion Part 1: Learning Style Profiles across Four SemestersIn all semesters studied, students were given the Index of Learning Styles (ILS) Questionnaire5to evaluate their learning styles using the Felder-Silverman model. Within each dimension theclass learning styles profiles have very little