Paper ID #24429Fundamentals of Engineering Design for Chemical Engineering 1st Year Un-dergraduatesDr. Irina Molodetsky, New Jersey Institute of Technology Irina Molodetsky, PhD, joined Otto H.York Department of Chemical and Materials Engineering in the summer of 2017 as a Senior University Lecturer, New Jersey Institute of Technology. Before NJIT, she was Principal Materials Scientist at Princeton Technology Center, Schlumberger. She received her BS, MS in Physics from Odessa State University, Ukraine and PhD from Princeton University. She was a Postdoctoral Research Associate at University of Pennsylvania (Materials Science
, the ASEE Women in Engi- neering Division Sharon A. Keillor Award and the WEPAN Women in Engineering Initiative Award. She has been instrumental in establishing the Attracting Women into Engineering, the Engineers on Wheels and Engineering Clinics for Teachers programs at Rowan University. She has served as the Institutional Representative and Advisory Board Chair for the Women’s Professional Network at Rowan University for six years and currently is an advisory board member of the New Jersey Chapter of the American Council on Education (ACE) Office of Women in Higher Education (OWHE). She received a Fulbright award in 2015.Mr. Kevin B. TrinhMs. Gena Gizzi Graduated from Rowan University in 2018 with a B.S. in
for this test can be seen in theTesting section below. Next, it is equally important to evaluate the parts for the control system. In orderfor PHiLTER to properly operate the correct parts must be used along with useful coding.The electrical components for PHiLTER has not changed from the initial design. For the prototype theRaspberry Pi will be connected to a display through the display port, 5V power will be connected to pin 2,and ground will be connected to pin 6. The Raspberry Pi is connected to the Arduino through the USB-Aport. The Arduino is connected to the raspberry by USB-B port. The DC AMP meter is connected to the5V and ground pin in the Arduino. Pins A0 is being used to measure the voltage of the generator. Tomeasure the voltage
data that can be used to validate the models I build. Here at Gannon University, I will continue building computational models with a focus on the knee to optimize surgical techniques (e.g. ACL reconstruction) to restore normal function after injury. When I’m not doing research, I enjoy going swimming and playing my violin.Dr. Nicholas B Conklin, Gannon University Nicholas B. Conklin received a B.S. in applied physics from Grove City College in 2001, and a Ph.D. in physics from Penn State University in 2009. He is currently an associate professor and chair of the Physics Department at Gannon University, Erie, PA.Dr. Quyen Aoh Aoh, Gannon University Assistant Professor of Biology c
characterization, design and simulation, signal integrity and THz sensors. He is a member of IEEE and ASEE.Dr. Robert B. Bass, Portland State University Robert Bass, Ph.D. is an associate professor in the Department of Electrical & Computer Engineering at Portland State University. His research focuses on electrical power systems, particularly distributed utility assets and the overlaying control and communications architectures that link them together. Dr. Bass specializes in teaching undergraduate and graduate courses on electric power, electromechanical energy conversion, distributed energy resources, control theory and power systems analysis.Mr. Phillip Wong, Portland State University Phillip Wong received an M.S
standards and has worked on grants related to effectively teaching codes and standards. Dr. Hoskins serves on technical committees for NFPA 101 and NFPA 72 as well as being the chair of the working group that has developed the SFPE Research Roadmap. His research interests are in evacuation, tenability, emergency messaging, and other issues related to human behavior in fire.Samuel B. Montgomery, Oklahoma State University c American Society for Engineering Education, 2018 Understanding the Significance of Integrating Codes and Standards into the Learning Environment Oklahoma State UniversityAbstract Short video models as a learning
featured pre-defined inquiry questions and design problems,pre-planned investigations, did not ask for model generation, and did not call for mathematizingbeyond very simple linear measurement. Though Practice 8 was demonstrated in Classroom B,there was little opportunity for it in Classroom A, so it was not included in the analysis.This review informed the decision to focus on practices 4, 6, and 7, which involve working withdata, explaining phenomena, designing solutions, and engaging in argument from evidence. Toanalyze the student data for these three practices, we broke them down into sub-practicesaccording to NGSS Appendix F [1] for grade band 3 to 5 (see Table 1).For each classroom, we coded for sub-practices first with the richer data
University of Kerala, Chief Technology Officer for Elegance Technologies, Inc., Senior Member of Technical Staff with NeST Technologies, and Assistant Professor at Moravian College. He has a PhD in Computer Science from the University of California, Davis, master’s degrees in CS and Electro-acoustic Music from Dartmouth College, and bachelor’s degrees in Engineering and Music from Swarthmore College. His professional interests and activities include active and guided inquiry learning, software engineering, entrepreneurship, digital signal processing, cognitive neuroscience, and music.Dr. Patricia B. Campbell, Campbell-Kibler Associates, Inc. Patricia B. Campbell, PhD, President of Campbell-Kibler Associates, Inc, has been
Connecticut. Her educational research interests include retention, mathematics and materials science teaching and learning, first-year programs, accreditation, and faculty development.Ms. Jocelyn B. S. Cullers, Boise State University Jocelyn B. S. Cullers is a Data Analyst at the Institute for STEM & Diversity Initiatives at Boise State University. c American Society for Engineering Education, 2018 The Crux: Promoting Success in Calculus IIAbstractIn the 2013-14 school year, Boise State University (BSU) launched a major overhaul of CalculusI. The details of the reform, described elsewhere, involved both pedagogical and curricularchanges. In subsequent years, we developed several
Paper ID #21765Framework to Develop the Customized Tool for RFID ExperimentDr. Tae-Hoon Kim, Purdue University NorthwestDr. Lash B. Mapa, Purdue University Northwest Lash Mapa is a Professor in Industrial/Mechanical Engineering Technology at Purdue University North- west (PNW). His undergraduate and graduate degrees are in Chemical Engineering. He has several years’ experience as a Chemical Engineer, Process and Project manager with European and U.S. manufacturing organizations. Currently, he is involved in the MS Technology program at PUC and has managed over thirty lean six sigma projects with manufacturing, service
Paper ID #23016Engagement in Practice: Lessons Learned While Developing CommunityPartners (and a New Engineering Program) for Service LearningDr. Timothy J. Kennedy P.E., Abilene Christian University Dr.Timothy J. Kennedy P.E., is the Executive Director of Engineering and an Assistant Professor in the Department of Engineering and Physics at Abilene Christian University. His professional experience has focused on water reuse, water and wastewater treatment. Additionally, he has an interest in point of use treatment technologies for developing regions and how to better prepare students to immediately contribute to the
Paper ID #23318Engagement in Practice: Partnering with a Local Community in an Effort toPromote RevitalizationMs. Joan A. Kowalski, Pennsylvania State University, New Kensington Joan A. Kowalski earned both her Bachelors and Masters Degrees in Civil Engineering from Penn State University. In 1987, she joined the faculty at the Penn State New Kensington Campus, where she has advanced to the rank of Assistant Teaching Professor in Engineering. In 1999, she assumed the role of Program Director for the Mechanical Engineering Technology (MET) Program. She co-founded the Fe- males Interested in Reaching for Science, Technology
Paper ID #22507Engagement in Practice: Socio-technical Project-based Learning Model in aFreshman Engineering Design CourseDr. Raghu Pucha, Georgia Institute of Technology Dr. Raghu Pucha is a Senior Lecturer at the Woodruff School of Mechanical Engineering, Georgia Insti- tute of Technology, in the area of CAD/CAE and Manufacturing. Dr. Pucha teaches computer graphics and design courses at Georgia Tech., and conducts research in the area of developing computational tools for the design, analysis and manufacturing of advanced materials and systems. Dr. Pucha has three provisional U.S. patents and co-authored over 60
Paper ID #21956Impact of Sustainable Study Abroad Course on StudentsProf. Patricia Fox, Indiana University-Purdue University of Indianapolis Professor Patricia Fox is a Clinical Assistant Professor in the Department of Technology Leadership and Communication in the Purdue School of Engineering and Technology at Indiana University-Purdue Uni- versity Indianapolis (IUPUI). Pat has been a member of the faculty for over 35 years. She has previously served as Associate Chair and Associate Dean in the School. Pat teaches leadership, ethics, sustainabil- ity, and study abroad courses. She has held a number of leadership roles in
Paper ID #24532Cross-cultural Collaboration Inspired by a Sustainable Building Course inCosta RicaDr. Rodolfo Valdes-Vasquez, Colorado State University Rodolfo Valdes-Vasquez is an Assistant Professor in the Department of Construction Management at Colorado State University. He is committed to advancing research and teaching in the sustainability of infrastructure projects. He believes that educating the next generation of professionals will play a pivotal role in making sustainability a standard practice.Dr. Caroline Murrie Clevenger, Caroline M. Clevenger is an Associate Professor and Assistant Director of Construction
Paper ID #23434Summer Exchange Program: A Unique Platform to Broaden Exposure andAddress Several Dimensions of LearningDr. Abhijit Nagchaudhuri, University of Maryland, Eastern Shore Dr. Abhijit Nagchaudhuri is currently a Professor in the Department of Engineering and Aviation Sciences at University of Maryland Eastern Shore. He is a member American Society for Mechanical Engineers (ASME), American Society for Engineering Education (ASEE) and, American Society for Agricultural and Biological Engineers(ASABE) and is actively involved in teaching and research in the fields of (i) robotics and mechatronics, (ii)remote
𝐵𝑖 𝑆𝑖𝑚𝑖𝑙𝑎𝑟𝑖𝑡𝑦 = cos(𝜃) = = , (1) ∥𝐴∥∥𝐵∥ √∑𝑛𝑖=1 𝐴2𝑖 √∑𝑛𝑖=1 𝐵2𝑖where ||.|| represents Euclidean length of each feature vector. Ai and Bi are components of vectorA and B. A stands for student teams, while B stands for faculty members. For the last step, thecosine distance is calculated by 𝐶𝑜𝑠𝑖𝑛𝑒 𝐷𝑖𝑠𝑡𝑎𝑛𝑐𝑒 = 1 − 𝑠𝑖𝑗 , (2)where sij is cosine similarity between each pair of student teams and faculty members. The valueranged from 0 to 1. A larger distance implied a
. IntroductionThe School of Science, Technology, Engineering and Mathematics (STEM) at the University ofWashington Bothell has experienced rapid growth in both number of students as well as numberof degrees offered (currently fifteen degrees and five minors) since its inception in 2013. Themechanical engineering program is three years old and recently received ABET accreditation(September 2017). Within the University of Washington system, students declare themechanical engineering major at the end of the sophomore year. At many schools, materialsscience and engineering is a stand-alone or two-course sequence that commonly utilize textbooksby Callister1, Shakleford2, or Askeland3. Here, the Fundamentals of Materials Science (B ENGR320) course is a one
corporate partnership opportunities to get Analytics & Visualization experience with real world dataBenefit for GE Course Outline• Masters Students analyze trends & create new viz’s ALY 6000 – Introduction to Analytics (Fall B) Build• Opportunity for future projects ALY 6030 – Data Warehousing & SQL (Fall B) Foundation• Free & Flexible to meet corporations’ needs ALY 6015 – Intermediate Analytics (Winter A)Current Scope: Cyber Security alerts data
for students to conduct physical experiments.Each system consists of three major electrical components (power supply box, manual switchbox, and electrical relay switch box) and nine major pneumatic components (air source, single-acting cylinder, double-acting cylinder, air divider, 3/2 pneumatic valve, 3/2 directional controlvalve, 3/2 solenoid (one sided) control valve, 5/2 solenoid (one sided) control solenoid valve,and 5/2 solenoid control valve. Figure 2(a) shows one manual switch box and two electricalrelay switches, and Figure 2(b) shows a power supply. (a) (b) Figure 2. Components of Programmable Logic Controller Wiring Lab. (a) From left to right: onemanual switch box and
: Current structure - Option B: Monday, Wednesday, Friday- 8:00 am – 12:00 pm - Option C: Monday & Wednesday 12:00 pm – 6:00 pm - Option D: Monday & Wednesday 7:00 am – 1:00 pmEach of five levels of desirability from “very undesirable” to “very desirable” was quantified to1-5, respectively. The average score of options A-D was 2.64, 2.62, 3.23, and 2.30, respectivelywhich indicates a similar medium desirability between Option A and Option B. In addition,Option C was reported as the favorite option while Option D was rated as the least favoriteoption. Figure 6 shows the percentage of each option at each desirability level. 50 47 45 40
programming problem which we call thesubproblem. The solution to the subproblem is the column which enters into thebasis replacing a column. A column generation approach updates a small set B of columns which wecall as basis. In each iteration, the sub-problem identifies a column of the optimalreduced cost from the huge pool A of the columns of the master problem. Thereduced cost of a column is a measure of the column’s contribution to improvingthe objective value of the master problem. The rule of updating the basis withthe column of the best reduced cost is referred to as Dantzig’s Rule. Since thereduced cost is a linear objective function in a column generation framework, Steepest Edge Rule for Column Generation
Courseware (equivalent to a digital textbook, plus software for the various platforms) isdelivered via Git, a popular Distributed Version Control System (DVCS). The Courseware hasevolved with each offering of the course, incrementally improving each time, similar to theconcepts articulated in [16]. The Courseware resides in an instructor-only repository, and thecontent is incrementally released to students, via a second repository for students that is usedonly for the duration of the semester term. Each week (a) the solution to the previous week’sassignment, (b) new textbook content for the current week, and (c) the current week’sassignment are incrementally released to the students. The textbook content is written withMarkdown [17], a simple text
% 81.52% 31.71 College GPA 1 35.717 35.7174 0.000 PT 1 84.352 84.3517 0.000 Gender 1 4.740 4.7395 0.029 Error 125 23.705 0.1896 Total 128 144.531Odds Ratios for Continuous Predictors Odds Ratios for Categorical Predictors Odds Ratio 95% CI Level Level A B Odds Ratio 95% CI College GPA 23.5598 (3.9198, 141.6068) PT
response that reflected the student’s good-faith effort to becorrect [25].The final course grade was assigned based on how many assignments earned a passing score andhow many “E” scores were earned on quizzes. Table 2 describes the requirements to earn aparticular base letter grade (A, B, C, etc.). All requirements for a grade had to be met in order toearn that grade. A course grade of “F” was earned if the requirements for a “D” were not met. Agrade checklist was also provided to students to help them track their progress.Table 2: Course Grade Requirements To earn Accomplish the following: this grade: A Earn passing scores on 15 quizzes, including at least 11 "E" scores, AND earn passing scores on project report
theinstructor: (a) To a student, clear goals for advanced learning; (b) To a teacher, a fresh look atwhat makes students learn; (c) To both, they bring joy of achievement.In this report, a collaboration between Keysight Technologies, an industry leader in Test andMeasurement, and the University of Michigan, one of the premier engineering schools in theU.S., we share our experience at several levels: (i) Short summer camps for high-school students;(ii) Crash course of lectures and lab experiments on basics of EE; (iii) Description of studentachievements; (iv) Advanced studies for EE majors in the industrial setting; (v) Simulating acommercial DMM and measuring performance with Keysight BenchVue software.We believe that the experiments reported here
(b) notbeing able to differentiate between essential and non-essential information [13]. The PREPmodule provides a clear structure to help students determine the "essential" course components.Widespread implementation resulted in several minor modifications, especially concerning theweighing of grades and use of pre-requisites; however, the core structure remained consistentthroughout all sections of the courses and instructors saw value in its use. Instructors appreciatethe structure and it has helped to establish a clear timeline for course content delivery. One ofour new instructors provided a review of the (PREP)ARE module structure saying, "as anonboarding professor, it was very helpful to have this material selected a priori. It helped
presents the results of faculty who have been teaching with our first year program forthree years or more and have been involved in cornerstone planning and teaching. The effect ofcontinual course improvement is exemplified in several cases presented here. Looking atindividual instructor scores from the University-administered student perception survey data, wesee the story of how capital improvements and the feedback has aided in teaching effectivenessscore improvement. For instructor A, we see a large jump in teaching score with the completionof the learning center between arrows 1 and 2. Looking at the specific case of Instructor B, wesee that with any first time teaching a course there is a drop in the students’ scoring of teachereffectiveness
further studies in STEM?Eighty-three percent (84%) of the parents whose daughters returned for the summer of 2017reported that their daughters’ grades in mathematics and science had improved since attendingthe FEMME program in 2016. A few of the comments include; • My child's grade in science improved after attending NJIT last summer. She went from a B student to an A+ student. • She had B's last year and now she has all A's • She was placed a grade ahead in 7th grade math even though she is a 6th grader. Her grades did go down first term but are going back up.Seventy-four percent (74%) of the parents reported that their daughters’ attitude towards theirmathematics and science classes improved since attending the FEMME program in 2016. A
expressed in this material are those of the authors and do not necessarily reflectthe views of National Science Foundation.References[1] T. Barrett, M. Pizzico, B. Levy, R. L. Nagel, J. S. Linsey, K. G. Talley, et al., "A Review of University Maker Spaces," presented at the American Society for Engineering Education Annual Conference, Seattle, WA., 2015.[2] V. Wilczynski, "Academic Maker Spaces and Engineering Design," in 122nd ASEE Annual Conference & Exposition, Seattle, Washington, 2015, pp. 1-19.[3] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue, "Leaving Engineering: A Multi‐Year Single Institution Study," Journal of Engineering Education, vol. 101, pp. 6-27, 2012.[4] M. Galaleldin, et al. , "The