, 11]. A significant fraction of asoftware project’s budget can go towards code quality [12], and the need for better softwareengineering practices is becoming important in STEM at large [13]. As introductory computingcourses serve an increasingly broad range of students, disciplines, and applications, and thesetraditional metrics may not provide sufficient insight into what is best for students’ learning.Teaching at a small engineering college with no formal computer science program and a heavilyproject-based curriculum, we are especially aware of the limitations of traditional metrics oftenused to evaluate first courses in programming and computer science. As we explain later in thispaper, our first course in computing, which we dub Software
ASEE-NMWSC2013-0052 The First Lecture on Microcontrollers for Students with Limited Background in Electrical and Computer Engineering Foundations Majura F. Selekwa Department of Mechanical Engineering; North Dakota State University majura.selekwa@ndsu.eduAbstractIn the modern world, microcontrollers are found in almost every device with mechanical, chemi-cal, and electrical applications. In general these are single chip computers integrated with variousinput-output interface ports. There are thousands of microcontrollers in the market, and each hasits own way of
Course to Make Informed Design DecisionsAbstractIn this complete evidence-based paper, it will be shown how computer simulations can beintroduced in a freshman mechanical engineering course and how students can use computersimulations to make informed design decisions. Freshman-level engineering students may haveinsights about the workings of mechanical systems even though they may not be versed in themathematical descriptions of such systems. The motivation for this work is three-fold: (1) allowfreshman students to apply and expand their insights into mechanical systems without the needfor mathematical descriptions which they may not yet be prepared to understand; (2) exposestudents to computer simulations at an early stage of their curriculum
Allan fisher and Jane Margolis, in this journal, described the research studyat CMU as well as the findings.22 The research suggested institutional change in the areas ofculture, curriculum, and support for women students. The changes in culture they suggestedwere to remove prior experience in programming as a requirement for entering students, and tobroaden the perceptions of the field of CS by addressing the fact that success in CS is more thanthe one-dimensional view of the “boy hacker”, and by stressing the idea that there are multiplevalid ways to be a computer scientist. The curriculum change allowed for “multiple points ofentry into the Carnegie Mellon computer science curriculum that allow students with widelyvarying levels of
integrationof Computer Aided Design (CAD) and Digital Human Modeling (DHM) to improve theunderstanding of ergonomic principles among undergraduate students. The curriculum of twoundergraduate courses, Product Design and Work Design, were revised to include a courseproject that combines concepts from both courses to assess students’ knowledge of ergonomicdesign. The Product Design course focuses on the principles required for designing a product anddeveloping the specifications for its components. The Work Design course focuses on ergonomicanalysis and design of workplace and job. Students were asked to create different CAD designsfor a single-channel pipette while considering ergonomics and then evaluate the designs usingDHM. The design process
Paper ID #22084Enabling Advanced Topics in Computing and Engineering Through Authen-tic Inquiry: A Cybersecurity Case StudyDr. Mike Borowczak, University of Wyoming Dr. Mike Borowczak is the Director of the Cybersecurity Education and Research center (CEDAR) and a faculty member of the Computer Science department at the University of Wyoming. He earned his Ph.D. in Computer Science and Engineering (2013) as well as his BS in Computer Engineering (2007) from the University of Cincinnati. His research focused on detection and prevention of information leakage from hardware side channels. Mike’s current research interests
Tulsa, also in Mechanical Engineering. He currently teaches first-year engineering courses as well as various courses in Mechanical Engineering, primarily in the mechanics area. His pedagogical research areas include standards-based assessment and curriculum design, including the incorporation of entrepreneurial thinking into the engineering curriculum and especially as pertains to First-Year Engineering.Dr. Lawrence Funke, Ohio Northern University Dr. Funke received his PhD in Mechanical Engineering from the University of Notre Dame in 2017. He is currently an assistant professor at Ohio Northern University. c American Society for Engineering Education, 2020 Exploring Impacts of a Flipped
students in their chosen discipline, and thus has become part of theengineering curriculum at many universities to promote interest and retention.1,2 Furthermore,problem- and project-based learning that includes aspects of engineering design appeals to awider variety of student learning styles than traditional lecture-based instruction.3,4,5 Last spring,to give our computer engineering freshmen a hands-on engineering design experience, weoffered them a zero-credit freshman project with one scheduled contact hour per week and withno grade.In prior years, freshmen in the Department of Computer Engineering at RIT would typicallyhave taken a required course with a lab that provided hands-on content during spring quarter.However, last spring
Teaching in Engineering, Science and Computing: A Collaborative Process to Improve Quality Marjan G. Zadnik, Joan Gribble, Shelley R. Yeo†, Peter L. Lee. Division of Engineering, Science and Computing, † Learning Support Network, Curtin University of Technology, PO Box U1987, Perth, Western Australia, 6845.IntroductionThis paper outlines a process encouraging the involvement of all academic staff in theDivision of Engineering, Science and Computing at Curtin University of Technology toimprove the quality of their teaching and students’ learning. The Teaching
AC 2011-580: INTEGRATION OF E-QUALITY CONTROL MODULESWITH ENGINEERING COMPUTER NUMERICAL CONTROL LABORA-TORYRichard Chiou, Drexel University Dr. Richard Chiou’s background is in mechanical engineering with an emphasis on manufacturing. Dr. Chiou is currently an associate professor in the Goodwin School of Technology and Professional Studies at Drexel University. His areas of research include machining, mechatronics, and internet based robotics and automation. He has secured many research and education grants from the NSF, the SME Education Foundation, and industries.Yalcin Ertekin, Drexel University (Engineering Technology)) Dr. Ertekin received his BS degree in mechanical engineering from Istanbul Technical
century whenthe first computers were introduced, and computer science became recognized as a field of studyat the university level.1 At the birth of computer science education and throughout the last seventyyears, there has been continued debate on what should be emphasized in the curriculum, theoryversus application.1,2 Some experts argued that a strong understanding of mathematics in the senseof using symbols, logic and number theory in the development of algorithms was the mostimportant while others such as those in the computer industry believed training a workforce todevelop the hardware and software using engineering principles was key.1 In a study by Hromkovicand Lacher3 that focused on the historical connections of human thinking and
Paper ID #31376Using Computer-Generated Concept Maps in the Engineering Design Pro-cessto Improve Physics LearningMr. Michael S Rugh, Texas A&M University Michael S Rugh is a third year PhD student focusing on mathematics education within the Curriculum and Instruction PhD track in the Department of Teaching, Learning, and Culture within the College of Education and Human Development at Texas A&M University. His current focus is on informal STEM education. Within this, he has taught for the past two years at ASSC, the Aggie STEM Summer Camp. He has over 16 presentations and publications and is constantly working on
Automation (SIGDA).© American Society for Engineering Education, 2007 A Two Course Sequence in Computer Engineering Principles for Electrical Engineering StudentsAbstractTraditionally computer architecture courses emphasize either a programmer’s or logic designer’sperspective with regard to computer engineering. Recognizing the value of both approaches, asequence of two mandatory courses has been developed that addresses both of these aspects ofcomputer engineering for the curriculum in Electrical Engineering at the Rochester Institute ofTechnology.The lectures of each course are complemented by weekly lab sessions, in which the studentscomplete assignments of increasing difficulty. In the labs associated with the course
Figure 3. Problem solved!At the high school level, equal opportunity for an "ever-modernizing, ever-mobile student body"3has been achieved by the use of technology, especially tablet PCs. With a tablet PC, every deskbecomes a front row seat and a student missing class and students with handicaps have completeinternet access to notes, presentations, and assignments.3At the college level, research shows great potential for improved learning and teaching incomputer related curriculums. The inherent capability of tablet PC digital ink supports visuallearning.4 Tablet PCs can be applied to information worker tasks in an education environment.5The tablet PC also promises to improve active and collaborative learning in computer sciencecourses.6 The
engineering perspective, asolid knowledge of computers, and the core elements of cyber security. Engineers are problem-solvers at heart. And, there are no bigger problems that need robust solutions than securityissues in cyberspace. From desktops to cell phones, from wired to wireless networks, from cyberphysical to Internet of Things devices, cyber security engineers who have a solid background incomputer engineering are well-positioned to tackle the security challenges of today andtomorrow.This paper discusses the process we used to leverage the existing faculty, classrooms, courses,and knowledge to build our cyber security engineering degree. The focus of this paper is on thedesign of the curriculum and the new cyber security core courses that
Paper ID #22185Assessing Scrum Project Management and Teamwork in Electrical and Com-puter Engineering CoursesProf. Branimir Pejcinovic, Portland State University Branimir Pejcinovic received his Ph.D. degree from University of Massachusetts, Amherst. He is a Pro- fessor and former Associate Chair for Undergraduate Education at Portland State University, Electrical and Computer Engineering department. In this role he has led department-wide changes in curriculum with emphasis on project- and lab-based instruction and learning. His research interests are in the areas of engineering education, semiconductor device
, initiative, continuous learning, and ethics”(Electrical Engineering Self-Study Report, p. 23). “Softer” skills, such as networking and careerpreparation, are developed outside the major’s curriculum in extracurricular workshops,advising, or in ENGR 101, a freshman-level course called Introduction to Engineering(Electrical Engineering Self-Study Report, p. 23). This focused is echoed in the computerengineering and software engineering majors (Computer Engineering Self-Study Report;Software Engineering Self-Study Report). The documents across the software, computer, and electrical engineering majors discussthe need to produce engineers who are well-rounded; that is, students who will have “an abilityto design a system, component, or process to
functions with MATLAB software. Integration of rulebased modeling of dynamic systems and analytical computation of transfer functions withMATLAB provides a viable pedagogical tool for undergraduate education in LinearSystem Control.IntroductionLinear Vibrations and Linear System Control are relatively difficult courses inundergraduate curriculum for Aerospace, Mechanical as well as Electrical engineeringstudents. The primary difficulty lies in developing the equations of motion from givenphysical system. In applying the Newton’s force method, one should have goodunderstanding of degree of freedom and free body diagram. In applying the energymethod, one should have good understanding of kinetic energy, potential energy, anddamping energy. Although
University Fayçal Saffih was born in 1974, in Sétif, Algeria. He has got his B.Sc. with best Honors in Solid-State Physics from Physics Department, University of Ferhat Abbass, Sétif, Algeria in 1996. He pursued his studies on artificial neural networks and achieved his master degree from Physics Department, University of Malaya, Malaysia in 1998 for his research on "Digital Implementations of Artificial Neural Networks". He joined in 1999 the Integrated Camera Group at the Electrical and Computer Engineering Department, University of Waterloo, Ontario, Canada, and achieved his Ph.D. on “Foveated Sampling Architectures on CMOS Image Sensors” dedicated for video communication and remote
group looked at not only the coursedeveloped by the Electrical Engineering Department in response to Curriculum 21 but also all ofthe present and potential needs in the area of information technology for the fleet. The result wasan outline for a two course sequence; EE301: Electrical Fundamentals & Applications andEE302: Electric Machines and Information Technology Systems. The first semester course wasnot much different from the previous one semester course that all students already took. It wasbasically a circuits course for non-engineers. The second semester course was very different andincluded a wide variety of topics from motors and generators to computer networks. Manyproblems were evident when these two courses were put together as
across the lecture and laboratory portions of the course.IntroductionGetting Electrical Engineering students started in their curriculum with up-to-date attitudestoward the role of computing in the engineering problem solving process is extremely important.This attitude should not be one that automated computing is a course of last resort for problemsthat cannot be solved by hand, but rather that computing is something that the practitioner does inpractice to increase productivity and to make the workload more bearable. In addition, computingshould not be done in a setting where the engineer does not understand the process beingimplemented. That is, a full understanding of the process is still very important so that theengineer can know when
Paper ID #7035Work in Progress: Computational Modeling of Biomedical Devices with Ac-tive Learning StrategiesDr. Tom Merrill, Rowan University Dr. Tom Merrill’s research interests include energy systems, biotransport modeling, and medical de- vices. Prior to Rowan University, Dr. Merrill worked for thirteen years at a number of places including United Technologies Carrier, Abiomed, Wyeth Research, MicroDose Technologies, and at a medical de- vice start-up company called FocalCool. He received his degrees in Mechanical Engineering from Penn State (Ph.D.), the University of Michigan (M.S.), and Bucknell University (B.S.). He
computer science curriculum volume. Her research is focused on computer science education, specifically how novices learn to program. She is a member of the ACM and the IEEE Computer Society.Dr. Mark J. Sebern, Milwaukee School of Engineering Mark J. Sebern is a professor in the electrical engineering and computer science Department at the Mil- waukee School of Engineering (MSOE), and Founding Program Director for MSOE’s undergraduate software engineering program. He has served as an ABET program evaluator for software engineering, computer engineering, and computer science, and is currently a member of the ABET Engineering Ac- creditation Commission
disciplinesthat are not perceived by novice learners as computational in nature. Previous research indicates thatstudents majoring in subjects that are not programming-heavy might think they will not need these skillsin their careers, or they are less capable [1]. However, both students and professionals across differentengineering disciplines commonly accept that diversifying one's skill set makes one more marketableand favorably positioned for career advancement [2][3]. Additionally, studies suggest that materialsscience and engineering (MSE) faculty favor incorporating computational tools into their teaching andthink that computation is an essential component of the curriculum [4]. However, more research isnecessary to understand how students
reporting procedures, and how to ensurea safe and respectful environment. Students then met with their mentors and dispersed. A welcomeevent hosted by ICRU for all undergraduate summer programs on campus was canceled due toconcerns about COVID-19.Curriculum Design: Three workshops were hosted each week as described below. Workshopmaterials and scheduling information were provided to the participants through the University ofIowa’s online course website, ICON. All students were enrolled in the REU ICON course website,which also facilitated the positing of program announcements.• Introduction to Computing Workshop: This 2-hour workshop was held each Tuesday at 10:00 AM in a computer laboratory and introduced the students to the basics of high
. [17] suggest implementing “computationalthinking concepts into the K-12 curriculum[17].” They also recommend new educationalpolicies and better training and resources for K-12 educators. 5To date, computing-related education work in K-12 such as Computer Science For All[29], Black Girls Code [30], and Scratch [31] has elevated the relevance ofprogramming. These initiatives have provided a platform and framework for children tolearn about computer programming in an engaging way, thereby preparing them forcollege majors and future careers that require these skills. Indeed, the movement towardsmore computational thinking [17] in high school also
applications) by assessing the effectiveness of a novelcomputational and programming freshman/sophomore-level course introduced within theMaterial Science and Engineering department of a large, private US university. The keyconclusions of this study suggest that embedding engineering computational literacy i.e., the useof computer software and associated modeling and simulation processes within the curriculum,led to increased student engagement with disciplinary concepts, along with positive effects ontheir self-beliefs and academic performance.Preliminary findings from an analogous project conducted by Valenzuela, Smith, Reece andShannon (2010) to evaluate the effect of incorporating programming skills within junior andsenior year Industrial
Paper ID #34474WIP: Integration of Computational Modeling Active Learning ActivitiesWithin a Core Graduate Organ Systems Physiology CourseDr. Timothy E. Allen, University of Virginia Dr. Timothy E. Allen is an Associate Professor in the Department of Biomedical Engineering at the University of Virginia. He received a B.S.E. in Biomedical Engineering at Duke University and M.S. and Ph.D. degrees in Bioengineering at the University of California, San Diego. Dr. Allen’s teaching activities include coordinating the core undergraduate teaching labs and the Capstone Design sequence in the BME department at the University of
Telescope at the South Pole and was a NASA astronaut candidate finalist in 2013. Dr. Shirey earned her Ph.D. from the University of Maryland in 2017 after transitioning to study engineering integration in high school instruction as a site of creative thinking in physics learning. As founder and consultant for eduKatey, LLC, Dr. Shirey works with educa- tors around the world to integrated science, technology, engineering, art, and mathematics content areas through curriculum development, professional learning, and research.Dr. Magesh Chandramouli, Purdue University Northwest Dr. Chandramouli is an Associate Professor of Computer Graphics Technology in Purdue University Northwest. Dr. Chandramouli has been invited to
continue to collect research data in subsequent cohorts in (cur-rently) Spring 2021 and (upcoming) Fall 2021 sections, our early studentresponses show that new design has improved overall course reviews, whileachieving curriculum guideline goals for common computer organization andarchitecture course design. In addition, course materials that include coreknowledge areas (KAs) have been kept intact, and student feedback showsthat they understand each KA at comparable levels to classical computerorganization and architecture course content.2 MethodIn typical computer organization and/or computer architecture courses,knowledge areas are composed of the following concepts [1]: • Digital logic • Digital systems • Machine level