buoyancy project inspired by a more in-depth project byGoodrich and McWilliams [8], tasked the students with mathematically modeling a conceptual designbefore physically evaluating its performance. In addition, the project incorporated a number of keyconcepts (e.g., independent vs. dependent variables, uncertainty in measurements, significant figures,developing an experimental test plan) that had been taught in a lecture format in previous iterations ofthe course.Like many of the course assignments, the buoyancy project was authentically situated – in this case, anenvironmental group requested assistance with the design of a Sustainable, reConfigurable, AquaticLiving Environment (SCALE), which consisted of five modular “pods” that were to be
. However, they do so without any formal lectures or assignments and simplyout of necessity to make their implementation process easier. With that in mind, my colleaguesand I are planning on designing an intermediate Verilog class focused on many of the conceptshighlighted in the previous paragraph. Unlike the introductory computer engineering coursedescribed in this paper, the course will focus solely on Verilog. The lectures will cover Verilogsyntax, best practices, synthesis, etc. and the students must implement all of the homeworkassignments and projects in Verilog to give them more and more practice. We plan to roll out thisintermediate Verilog course in the near future and intend to study the course in a similar manneras the study described
Full-Time Staff Daytime 15 Fall 2016 Full-Time Faculty Daytime 15 Adjunct Faculty Evening 15The course content covers four topics: modeling of dynamic systems, analysis of dynamic systems,integrating mechatronic systems, and feedback control systems. A list of detailed learningobjectives for the overall course and individual modules are provided to students. The prerequisiteCircuits and Electronics course did not include a laboratory prior to Fall 2016. Therefore, inaddition to the planned learning objectives, Mechatronics serves as a first hands-on experiencewith electronics for many students. As an example, the overall course-wide
/students-and-young-professionals2/student-design/. Accessed January30, 2017. Appendix A DESIGN PROJECT ASSIGNMENTPROJECT CHOICESChoose one of the following 2 projects:1) PROJECT1 water treatment plant was hit with the Corrective Action Plan (CAP) by theDepartment of Environmental Protection (DEP) because they exceeded their Barium level intheir well water supply. Barium is a primary contaminant and must meet the new DEP limitsthat went from 4mg/l to 2mg/l. The well is a secondary water supply with springs being theprimary water source. Why is the Barium level elevated? What are the options to treat theelevated Barium level? What are the costs with each option?2) PROJECT2
capability analysis, measurement systemanalysis, specification and tolerances, and acceptance sampling plans. Students typically take thiscourse in the second year of their masters program. The course learning outcomes are (a) Defineconcepts in quality and quality management; (b) Apply statistical tools in analysis andapplication of Statistical Process Control; (c) Produce and employ control charts; (d) Explainsampling process; and (e) Design acceptance sampling procedures for quality control.The course work and activities typically include a term paper, a term project, homework, in classexercises and discussions, quizzes and two exams (midterm and final). During the study periodthe author added the library training and a factory visit to the class
introductory physics course-sequence. Additionally, there has been minimal physics education research (PER) on MLMs within the setting of smaller terminal bachelor’s degree engineering programs, as most PER research occurs at large research institutions. Our study’s goal is to test the efficacy of incorporating commercially available web-based MLM content into introductory physics courses at Wentworth Institute of Technology, a small program that offers terminal bachelors in engineering. The study will be separated into the following two stages: stage one will consist of two professors instructing calculus-based Engineering Physics I and II, both with and without MLMs from various providers. In the fall term, we plan to
and thinking through writing. Exploratory writing exercise involved atopical discussion of stormwater treatment process. A formal writing exercise was given in theform of a stormwater pollution prevention plan (SWPPP) assignment which included a peer–review session prior to final grading. A reflective writing exercise was included to summarizelearning experiences through classroom and writing activities throughout the semester to identifyareas of strengths and weaknesses and accomplishments and pitfalls and areas/topics for futuredevelopment.Student learning experiences and the effectiveness of writing exercises were discussed. Thebenefits of writing exercises were evaluated through the ABET outcomes and a survey andevaluation of students
students to active concept based instructions and learning helps to establishrelevance with a student’s prior experience in a given field, enhances student learning, helps infacilitating an unparalleled understanding of content, and helps students to apply the knowledgein real life scenarios4. Active Learning by Projects and Activities Actions geared towards Addressing a Problem Skill Based Concept Identification Concepts & Ideas Plan In-Class Learning Activities Knowledge Identify Curriculum and Teaching
limited to these three surveys. When we began planning forour third year, we felt that we needed more data to better understand how participants were reacting to ourprogramming, especially when taking into account the significant changes we were proposing. More specif-ically, our prior survey framework was limiting our understanding of whether or not we were truly helpingparticipants improve their familiarity and preparedness to become competitive in the faculty job market. Inother words, we wondered if individual sessions were beneficial to participants in terms of enhancing theirpreparation of faculty materials and contributed to their overall familiarity.In this paper, we expand our program evaluation significantly in the third year by
from the outcomes assessment plan that he helped devise and implement as ABET Coordinator. Address: Department of Mechanical Engineering, Universidad del Turabo, PO Box 3030, Gurabo, Puerto Rico, 00778. Tel. 787-743-7979 x 4182 E-mail: jcmorales@suagm.edu c American Society for Engineering Education, 2017 Language or problem-formulation difficulties? An FE Exam experiment in a Hispanic Setting Juan C. Morales, Ph.D., P.E. Universidad del TuraboAbstractThis paper describes and discusses the results of an experiment that was conducted by the authorin a course that trains mechanical engineering
/W1siZiIsIjIwMTQvMDgvMDEvMTJf MzBfNTRfNDI0X0hNU19Db2RlYm9vay5wZGYiXV0/HMS_Codebook.pdf.[21] K. Kroenke, R. Spitzer, & J. Williams, “The PHQ‐9: validity of a brief depression severity measurem,” Journal of general internal medicine, 16(9), pp. 606-613, 2001.[22] T. Henderson, “Exploring the Post-graduation Benefits of High-Impact Practices in Engineering: Implications for Retention and Advancement in Industry,” in ASEE: Proceedings of the 124th Annual Conference and Exposition 2017, Columbus, OH, USA, June 25-28, 2017.[23] T. Henderson, K. Shoemaker and L. Lattuca, “Early-career Plans in Engineering: Insights from the Theory of Planned Behavior,” in ASEE: Proceedings of the 125th Annual Conference and Exposition 2018
methodology. The comparison shows that although methodology designers spent moretime at the beginning stage when they engaged in a design project, they tend to handlecomplexity well and reach optimal design results faster. Daalhuizen et al. [4] comparedsystematic and heuristic design methods, and claimed that systematic methods prompt a designerto reach “optimal rather than satisfactory results” while heuristic methods prompt a designer toreach “satisfactory rather than optimal results”. Atman et al. [5] compared the design behaviorsof expert practitioners and students, and provided some suggestions for students who plan toadopt system design methodology, such as scoping a design problem before diving into a detaileddesign, gathering large amounts of
. Performed various consulting tasks from USA for several oil companies (Jawaby Oil Service Co., WAHA Oil and Oasis Co., London, England). The responsibilities included production planning, forecasting and reservoir maintenance. This production planning and forecasting consisted of history matching and c American Society for Engineering Education, 2019 Paper ID #24749prediction based on selected drilling. The reservoir maintenance included: water/gas injection and gas liftfor selected wells to optimize reservoir production plateau and prolonging well’s economic life.Terra Tek, Inc., Salt Lake City, UT, 1985-1987; Director
to know and be able to do by the time of graduation.”One of the Student Outcomes for the 2019-2020 cycle is “(5) an ability to function effectively ona team whose members together provide leadership, create a collaborative and inclusiveenvironment, establish goals, plan tasks, and meet objectives ” [7]. These strategic documentsguide all engineering programs and are more than aspirational. They are meant to affect change,so implementing action to produce students with habitually effective leadership skills starts withthe faculty.BackgroundToday's students are usually very comfortable with technology, have shorter attention spans, alower threshold for boredom, resist memorization and homework and favor action to observation[8]. Learning
course at Seattle University, for two consecutive years. Laboratorycomponents in the course utilize the MRK+Line robotics kit, based on the DIGILENT chipKITPro MX4 development board, which uses a Microchip PIC32MX microcontroller, based on theMIPS architecture. Hardware and Software platforms used exclusively for the IoT projects willbe introduced in the following section.ImplementationIoT-based activities for the Embedded Systems course were planned and implemented for twoquarters; fall 2017 and fall 2018. This course is required for students pursuing a BS in ElectricalEngineering with a Computer Engineering Specialization at Seattle University, and an electivefor students in the Electrical Engineering program. The course is open to both
difficult to adequately evaluate these programs. In order to evaluate andassess new experiments and projects, prior to introducing them in our curriculum, we use summerprograms with different students to develop content and test learning objectives. We introduce thenew topics to a cohort of students of diverse cultural background from local and internationalstudents. Our methodology is similar for the curricular development of each program (Figure 1)and consists of four main and distinct stages: (1) planning and administrative preparation, (2)content development and small-scale testing, (3) deployment and daily student assessment, (4)reflections, modifications and adjustments for a final course implementation. [6
uncomfortable misconceptionthat learners are dependent, and in order to participate in a learning activity, they must assume adependent role [6]. This defensive stance can be exacerbated when the learners are faced withunfamiliar technology such as a distance education learning environment [7], [8]. Since adultsare self-directed, this misconception must be overcome by treating the adults with respect byenvironmental considerations such as comfortable and adult-appropriate learning spaces, as wellas behavioral considerations such as the instructor treating the learners as partners rather thandependent learners [6]. An active role in planning the learning experience and a criticalevaluation of what they need to learn also enables the learners to exercise
, and groundwaterresources”; explanations of how science and engineering practices are utilized to remedy thesechallenges; and discussion of evidence that this uneven distribution is “the result of past andcurrent geoscience processes.” The consortium sought to “design a method for monitoring andminimizing a human impact on the environment” using scientific principles based on theobjective MS-ESS 3-3 [11].This on-campus event was facilitated by the education leaders, Student Leadership Councils, andevaluation teams from CBBG, QESST, NEWT, and NCI-SW. Seven faculty members, fifteengraduate students, and one former RET intern collaborated in the planning process for theoutreach event. The identified NGSS performance expectations were shared with
with professional language challengeswere possible to explain within the first two weeks via email along. That situation greatly changedafter DTU students visited Purdue University and for the first time the students met face-to face.After the first 1.5-2 hour meeting many questions were answered and more detailed planning ofthe project was started. During that meeting at the SATT and the presentation of the large enginetest cell, the DTU students were able to understand Purdue students’ expectation for the project.Next, the very important step was to explain to the Purdue students what kind of competenciesDTU students have and the possibilities they have to solve their problems. The whole project isvery complex and can be divided into several
. Teams build as many vehiclesas possible during the build period. The sale price of a completed vehicle varies in time,monotonically decreasing to a point where it is not profitable by the end of the simulation period.This reflects the effect of commoditization in mass markets [21]. Additionally, quality defectsresult in an additional financial penalty. Figure 7. Sport vehicle variant. Figure 8. Utility (left) and family (right) variants without intentionally planned commonality. Figure 9. Redesigned sport, utility, and family variants with a common product platform.The second round represents a paradigm of production with variety where each team receivestwo additional product variants similar to
involves planning, modeling, simulation, building, andtesting prototypes.Success in an engineering career largely depends on a thorough understanding of engineeringdesign processes. Two of the key outcomes of engineering education are: to prepare engineeringstudents to identify, formulate, and solve complex engineering problems, and to apply engineeringdesign to produce solutions [1]. Traditional assessment methods including exams, quizzes, andhomework assignments are primarily designed to measure the effectiveness of engineeringcurriculum in skill development. However, having the skills alone does not ensure that studentswill be successful through the engineering program, as well as in their future careers. An importantelement of success is to
computed. This is accomplished bytrajectory planning. This profile needs to be defined in a way to avoid or reduce the mechanicalvibration and stress on components and actuators, as well as to reduce overshoot response andexcessive position error during motion. This is accomplished by electronic cams. The inversekinetic analysis, which includes masses, center-of-mass locations, and mass moments of inertia,is used to generate the required actuator torque / force for the motion profile, and results in aspeed / torque-force diagram on which to base actuator selection. The chosen actuator nowbecomes part of the system, and, with the updated system, a control system, with feedback andfeedforward control, is designed, which then results in a new speed
. other paths may lead to(ABET-2) finding the solution. Creating Value Capstone Milestones BenchmarkSolving Problems Not only develops a logical, Having selected from among Considers and rejects less Only a single approach is consistent plan to solve problem, alternatives, develops a acceptable approaches to considered and is used to(ABET-1/2) but recognizes consequences of logical, consistent plan to solving problem. solve
advisorThe second segment of the administered survey targeted the implementation of the IBIEE modelcomponents to recruit students. In this regard, two open-ended questions were utilized to inquireabout the disposition from the faculty advisor to proactively identify and recruit engineeringstudents into the research group. The questions posed on the survey were the following: 1. Prior to receiving an invitation to participate in research, did you have a good relationship with the instructor? 2. Did at any point prior to receiving an invitation to participate in research, did the instructor ask you about your short or long-term plans?In the process of performing undergraduate research, the faculty member serves as
and parallel concepts. Student progress against the planned timeline willallow us to obtain a measure of the student learning in simulation modeling and parallel programming. Wehope to complete these works by next year.CONCLUSIONIn this work, we parallelized the sampling step of the SMC algorithm and were able to achieve up to 25%speedup in the runtime when using a machine with 8 cores. Currently, the convenience of converting aserial program to parallel and availability of multicore machines makes it quite sensible that the firstapproach to make any algorithm efficient is to take advantage of parallel computing. In the future, we planto run experiments in multi-cluster machines. We also plan to consider modifying the algorithm so that itcan
dynamic viewing on footage instructor’s face experience 30 minutes of preparation No additional Time time to plan video No additional time; preparation time; face- Commitment content and learning face-to-face lecture to-face lecture was for Instructor objectives and 11-20 was recorded recorded
lost. It is not reasonable to expect the studentsto develop a new business idea and undertake the venture during just one semester. As such, thefocus should be on what the students learn, rather than what they produce. Shifting focus to theprocess instead of the output also affects what is graded, e.g. instead of grading the business plan,the process should be graded [5].The goal of this paper is to present pedagogical approaches to help with the above objectives. Thecase studies presented here have been designed with junior/senior electrical engineering studentsin mind, but can be applied to other disciplines or levels with proper modifications.Project ApproachThe pedagogical approaches proposed here are intended to help students achieve
. Level 1 entry modules introduce the students to the basics ofprototyping boards, their usages, coding, and understanding. Multiple sensors are introduced atthis level with full descriptions of the circuits, the voltage, amperage, and power requirements.Time is spent educating the students on deciphering the sensor datasheets. Level 2 modules(modules 4-5) involve less detailed instruction sets with references to Level 1 circuit diagrams,constraints and procedures. In level 2 modules students need to plan an experiment anddetermine the necessary procedure to complete the experiment and attain the learning objectivesof the module. The level 3 module (module 6) required the student to read technical specificationsheets for the sensors and actuators
Board, and c American Society for Engineering Education, 2020 Paper ID #28973Curling Club; and served on the Human Services Planning Council, United Way, Chamber of Commerce,and Capital Fund Drive Boards of Directors. Erdman has lectured on leadership topics at Penn State andRPI. He served as a recruiter (25 years) for GE and Lockheed Martin, on the Penn State College of Engi-neering Advisory Council, an Alumni Advisory Board, and as the President of the College of EngineeringAlumni Society. Affiliations include Fellow of ASME, member of ASEE, AIAA, the Penn State AlumniAssociation, Centre County Chapter Board of Directors
to being comprehensive, the search must betransparent and reproducible; it is common to have the search strategy for a systematic reviewundergo peer review by another librarian before searching is carried out. This emphasis onquality search has led to the adoption of a variety of librarian roles in the execution of asystematic review. A 2018 scoping review [19] identified eighteen roles filled by librarians insystematic reviews. In addition to the expected roles of searching, source selection, andevaluation, the authors also documented librarians acting in planning, question formulation andpeer review roles. The roles described are not mutually exclusive; often a librarian will take onseveral of these roles as part of a given systematic