Collection

2019 ASEE Zone I Conference & Workshop

Authors

M. Nazrul Islam; Joseph Abel; Qinghai Gao

they are blurred or distorted.  Students will design Computer Vision programs and see how it can be applied to facial recognition mechanisms and eye recognition mechanisms.Biometric  Students will learn how to design biometric systems throughRecognition programming & design.  Students will learn the privacy issues related biometrics and how they can be avoided.  Students will learn about biometric sensor technology and how it integrates into cyber and physical systemsOperating System  Students will understand how operating systems function on

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Lisa Greenwood; Mark Indelicato; Miguel Bazdresch; Mike Eastman

remaining learning outcomes. We propose to take an incremental approach, and start by asking students toimplement only one of their system’s functional blocks from scratch. In this way, we will beable to measure the effect on student learning and slowly readjust the rest of the course. Overtime, students will take responsibility for larger portions of their designs. Student’s assessment will be supplemented by an evaluation of their ability not only toexplain and to use a signal processing algorithm (which is what the functional blocks are), butalso to implement it in a computer language and simulate, test, debug, and evaluate it. Theseactivities clearly present a larger cognitive challenge, which we believe will translate to

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Michael Martin

Meeting the Needs of Industry via a Computer Numerical Control Concentration in a Mechanical Engineering Technology Curricula ABSTRACT Recent engineering education research has concluded that most engineering curricula do not promote attainment of many skills desired in practicing engineers. One such skill required by a segment of industry is proficiency in computer numerical control (CNC) programming. Based on feedback from Northern Michigan University’s Engineering Technology Department’s Industrial Advisory Board, the department implemented a CNC concentration for the Mechanical Engineering Technology bachelor’s degree program in 2010. The CNC concentration is one of five concentration choices the students have, and

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Ramachandran Radharamanan

Development of Laboratory Learning Modules on CAD/CAM and Rapid Prototyping R. Radharamanan Mercer University, Macon, GA 31207 USA radharaman_r@mercer.edu AbstractAs part of the 3D Modeling and Rapid Prototyping course, two new laboratory learning modulesincorporating CAD/CAM and 3D scanning/3D printing methodologies have been developed.First module is to compare and contrast FDM (Fused Deposition Modeling) printing and CNC(Computer Numerical Control) milling. For that purpose, a custom desk organizer is designed inFusion360. The part is exported as an STL to be sliced in

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Stephen Wilkerson; Joe Cerreta; Andrew D Gadsden

crop cycles currently dominatingMaryland and Pennsylvania farms. This program is formulated as a project-based learning(PBL) initiative. In particular, the program is a Capstone Design 2-semester course thatadditionally has design and build criteria as a requirement. Completion of this project is arequirement for graduation, and students usually take the capstone design course in their senioryear. Because this course is within the Engineering and Computer Science curriculum of thecollege, however, many of the topics that the students are required to learn are well outside oftheir typical course requirements. In this paper, we detail the approach to having undergraduatestudents research and master multiple technology areas and then apply them

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Jiayue Shen; Weiru Chen

-109, 2006.[9] D. Burleson and E. J. McCave, "Work in Progress: Creating an Active Learning Classroom with an Engaging Online Platform," in Proceeding of the 2018 First-Year Engineering Experience Annual Conference and Exposition, Glassboro, New Jersey, 2018.[10] L. Blasco-Arcas, I. Buil, B. Hernández-Ortega, and F. J. Sese, "Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance," Computers & Education, vol. 62, pp. 102-110, 2013.[11] J. R. MacArthur and L. L. Jones, "A review of literature reports of clickers applicable to college chemistry classrooms," Chemistry Education Research and Practice, vol. 9, no. 3, pp. 187-195

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Joseph Benin P.E.; Avinash Srinivasan

adapt to enable the best intellectual development and character building. While CharlesBabbage designed the first mechanical computer as early as 1822 [1], the digital computersare relatively new and have been with us since the 1930s [2]. In recent years, computerprogramming has shifted from being a skill for an elect few computer scientists to enteringthe main stream of education [3]. At the United States Coast Guard Academy (USCGA), learning computer programminghas been an integral part of the Electrical Engineering curriculum for decades. While initiallyfocused on hardware-friendly languages like C and C++, this was later expanded to includeMATLAB and C#. In keeping with the principle of continuous improvement and providing ourstudents

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Christian E Lopez; Conrad S Tucker

on personality traits and motivational affordances. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI ’16. ; 2016:2001-2013. doi:10.1145/2858036.2858515.17. Klock ACT, Gasparini I, Pimenta MS, de Oliveira JPM. Everybody is playing the game, but nobody’s rules are the same: Towards adaptation of gamification based on users’ characteristics. Bull Tech Comm Learn Technol. 2015;17(4):22-25.18. Tondello G, Mora A, Nacke L. Elements of gameful design emerging from user preferences. In: Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY ’17. ; 2017:129-142. doi:10.1145/3116595.3116627.19. Barata G, Gama S, Jorge J, Gonçalves D. Early

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Brittany Anderson; Rafic Bachnak

enrichment programemphasizing active learning with an aim of exposing high school students to eight commonSTEM disciplines (math, chemistry, biology, physics, computer science, civil engineering,mechanical engineering, electrical engineering), along with industry, in hopes of solidifying theirlove for a particular field or opening their eyes to a new field of study. A major goal of thisprogram has been to increase interest and diversity in STEM by giving students hands-onexperience in these fields. This paper will discuss the growing interest for such a program alongwith future plans. Additionally, this paper presents data from 2017 program participantsincluding an update of their education/career plans.Introduction:With the continued growth in STEM

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Hiren Gami; Reza Abrishambaf

algorithm. The supervised machine learning modelsrely on the tagged data, meaning, a movement patterns with associated actual physical directioninformation. Fig.5. show snapshot of the direction estimation performance by the ML algorithm. Fig.5. movement direction estimation using ML modelVI. STUDENT LEARNING EXPERIENCE This work is designed as a part of the capstone project of a group of senior students. Theygained enormous cross-discipline knowledge by utilizing skills on mechanical, computing, andstatistical analysis. Specifically, this capstone activity involves cross-discipline students inElectrical and Computer Engineering Technology, Mechanical Engineering Technology, andElectro-mechanical Engineering

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Shuvra Das

work.”According to the Reform Camp, “traditional calculus education has lagged behind most otherdisciplines in integrating technology into the classroom” and therefore calculus teaching shouldinclude “computer-based learning, group study, reliance on learning by concrete examples, andverbal analysis of mathematical problems.” According to the Classical Camp, too much relianceon computers and technology would increase the “risk that students will learn more aboutmanipulating a particular computer program than about calculus in general” and “obscureimportant ideas [5]”. The impact of the calculus reform movement is discussed in manypublications including [2-4].Until 2015, calculus was taught at Detroit Mercy in the standard course sequence MTH

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Pong P Chu

Integrating the Hardware-Software Codesign Concept in an Introductory Digital Design Course Pong P. Chu Department of Electrical Engineering and Computer Science Cleveland State University, Cleveland, OH 44115, USAbstract The hardware-software codesign paradigm divides the computation tasks into both softwareand hardware. The modern FPGA devices provide the “hardware programmability” and make thisscheme more relevant and accessible. We introduce this concept in an introductory digital designcourse via the end-of-semester case studies on a pre-configured platform. The carefully selectedcases incorporate the key course topics

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Peter Mark Jansson

, the application and modification of test equipment, data analysestechniques, programs and technologies as well as a host of other experiential learning useful topracticing engineers and researchers. These experiences, while difficult to provide time for in theclassroom, are uniquely suited to open-ended scientific research and implicitly includemotivation for the students since they feel part of the process of gaining skills for scientificdiscovery – one of National Academy of Engineering Grand Challenges categories. The studentssuccessfully replicated some of the controversial findings being published by others.BackgroundMost of the engineering professors working in higher education as well as members of ASEEknow about the Grand Challenges

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Salah Badjou; Pierre-Richard Cornely; Richid Dahmani

highly successful and could therefore provide a proven model for theteaching of engineering online and through distance-learning and as hybrid programs.!!!!———————————————————————————————————————1. Associate professor of electrical engineering, Merrimack College, Andover, Massachusetts. Co-prin- cipal of American Polytechnic Institute. Contact: sbadjou@ampolytech.com2. Division Head and Chair of the Department of engineering, physics, mathematics, and computer sci- ence, Eastern Nazarene College, Quincy, Massachusetts3. Co-principal of American Polytechnic Institute. Contact: rdahmani@ampolytech.com! !11. IntroductionThis paper discusses the successful implementation of a hybrid

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Elena Brewer; Anthony Dalessio; Sarah Giersch; Nancy Louwagie

) system shipped to the remotelocations. This delivery mode addresses equipment expense, faculty expertise and studentdemographics issues that are common to seated courses. For example, student demographicsinclude non-traditional students working full-time and not able to attend seated courses. Thisdelivery mode also overcomes the limitations of online course delivery by adding “live” in-classinteractions and hands-on experiences.This faculty paper discusses the logistics of a classroom partnership across institutions duringSpring 2018: negotiating differences in time zones, course schedules, and program curriculum;shared online learning management systems; student registration logistics for a class offeredfrom another institution in a different

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Ugur Zel

effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives 6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions 7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategiesStudent outcomes represent the competencies that are expected from students to have before theygraduate from universities. When we talk about an “outcome” we mean an “observable behavior”which also forms a dimension of a competency. Generally, universities focus on measuring“knowledge”, also a dimension of a competency, which is the

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Nashwa Elaraby; A. B Shafaye; Steven Grosse

offered for Electrical Engineering, ElectricalEngineering Technology, and Computer Engineering students. It is the first cornerstone inlearning about circuits and digital logic systems. Figure 1 illustrates the digital logic hierarchy,and indicates the coverage of the logic circuit design lab.There are different ABET outcomes that relate to their lab experience. It teaches them to usecorrect lab equipment and tools, from digital meter and oscilloscope to digital logic analyzers. Ithelps them to develop their problem-solving skills, as they are required to design logic circuitswith given specifications and then verify their functions. They learn about test vectors andtroubleshooting to detect any errors or misconnections that caused unexpected

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Salah Badjou

. It was proposed as an elective, in preparation for future programs in mechatronics.Mechatronics is the synergistic combination of electrical, mechanical, and control engineering,and computer science. Modern cost-effective and quality products are often intelligentmechatronic systems or involve mechatronic subsystems. Typical examples are robots. Thedesign of such systems requires a multidisciplinary systems approach that is not taught intraditional specialized engineering disciplines such as electrical and mechanical engineering. Thetraditional design approach follows the waterfall model, whereby the input from eachengineering discipline is considered serially, in stages. This approach is recognized today asineffective and costly, as it

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Pong P Chu

interviews. The assessment is reported in [4] and the surveyresult in [4] is shown in Table 1 (the score 1 for strongly disagree and the score 5 for stronglyagree). While the assessment does not identify individual labs, we believe that the power andthermal experiments help to obtain overall positive responses. Question Mean Sd The lab/project work I do for this course is relevant to 4.20 0.71 my learning Doing the labs/projects for this course is interesting for 4.40 0.72 me The labs/projects for this course show me how to 4.30 0.64 problem-solve in Computer Engineering The

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Praneetha Kuppili; Shrutika Ambade; Raj Tailor; M. Ali Montazer

Haven are familiar with the digital technologies, and specially the blockchaintechnology and its applications to routine people’s daily activities and transactions. We choseto start with a survey of the freshmen as a pilot study. We have conducted a survey among thefreshmen of our university and this survey included various questions on their understanding ofvarious social media technologies, blockchain, their knowledge of current trends, anddemographic questions. The survey data are analyzed, summary statistics are computed ofvarious factors, and cross-tabulation of key factors are constructed to determine the level anddegree of familiarity of the freshmen (delineated by field of study, gender, and visa-status) withthe technologies and

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Mana Seifaei; Salah Badjou

Design of a Solar-Powered Tennis-Ball-Fetching Robot in the Context of a Traditional Electrical Engineering Program ! Mana Seifaei1 Salah Badjou, Ph.D.1 ! (2019 ASEE Zone 1 Conference, Niagara Falls, NY, April 11-13, 2019)!AbstractThis paper discusses the implementation of a multidisciplinary mechatronics capstone designproject in the context of a traditional electrical engineering program in an undergraduate college.Mechatronics is the synergistic combination of electrical, mechanical, and control engineeringwith computer science

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Wei Xie; Jared Auclair; Jinxiang Pei

. Then, interdisciplinaryeducational and training programs, including hands-on training and experiential learning, areintroduced to seamlessly transform new knowledge to skilled workforce and industry practice.Therefore, the proposed framework can effectively facilitate the innovation of biomanufacturingindustry.Key Words: Academic, regulatory and industry collaboration; experiential learning;biomanufacturing innovation; continuous and flexible manufacturing; risk management andcontrolSection 1 IntroductionIn the past decades, pharmaceutical companies invest billions of dollars in the research anddevelopment of new bio-medicines for the treatment of many sever illnesses, including cancercells and adult blindness. The biomanufacturing industry is

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Seth W. Percy; Joshua E Perry; Carlos L Lück

fundamental circuit theory. Specifically, the concepts crucial to design are those of voltage VI. LABORATORY EXPERIMENT division, current division, Ohm’s Law, and IMPLEMENTATION Kirchoff’s law to be realized physically. This The laboratory experiment consists of two process, in turn, reinforces the theoreticalparts. Part 1 is entitled Preliminaries. This part concepts learned in lecture and provided arequires the student to research various aspects thorough understanding of this tool beyond itsregarding the history, characteristics, and simple operation.operation of the galvanometer. It furthers

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Jimmy Ching-Ming Chen; Joseph Vaglica

segment is a two-year independent livingprogram where the residents have opportunities to continue their education and learn essentiallife skills to make it out in the real world and obtain careers that would change their lives. CHMsits on a 5.3-acre campus that consists of two residential programs, a dining and recreation center,and job development center.Technical Analyses of the facilityThree CHM buildings were proposed to upgrade: Caritas Crisis Center, Rights of Passage, and theChapel. The Caritas Crisis Center, built in 1973 with an area approximately 6480 ft2, serves as a90-day shelter for youth coming directly off the streets. After the 90-day limit in the crisis center,residents have the option to leave or to continue to stay at CHM, in