Paper ID #11512Changing the Approach of How to Teach Computational Methods for Engi-neeringDr. Luz Adriana Amaya-Bower, Central State Connecticut University Dr. Luz Amaya-Bower joined CCSU’s Department of Engineering as an Assistant Professor in August 2012. Before joining CCSU, she was an Assistant Professor of Mechanical Engineering Technology at New York City College of Technology. Her PhD was granted by the Graduate Center, CUNY for her work on dynamic behavior of multiphase flows in microchannels. Dr. Amaya-Bower earned her undergraduate and master’s degrees from City College, CUNY. Her teaching and research interests
, entitled“Integrated Computational Materials Engineering (ICME) for Metals” (ME8990). This course isalso deployed for online learning in a virtual classroom. The course was taught for the first timeduring the Fall 2012 semester and is being taught for the second time during the Fall 2013semester. The course design is based on blended learning approach3 to facilitate integration ofadvanced technological resources (ICME Cyberinfrastructure) with traditional pedagogicalpractices (textbook, Mark F. Horstemeyer, “ICME for Metals” 4).The interdisciplinary course curriculum is fragmented into independent learning modules witheach module focusing on teaching different material length scales with its respectivecollaborative student group assignments and
Paper ID #41209High School Computing Education: The Landscape of Equity-Enabling Research(Fundamental)Dr. Julie M. Smith, CSEdResearch.org Dr. Julie M. Smith is a senior education researcher at CSEdResearch.org. She holds degrees in Curriculum & Instruction and Software Development. She also completed a doctoral program in Learning Technologies at the University of North Texas. Her research focus is computer science education, particularly the intersection of learning analytics, learning theory, and equity and excellence. She was a research assistant at MIT’s Teaching Systems Lab, working on a program aimed at
Paper ID #37005Industry 4.0 Edge Computing Demonstration Projects for ManufacturingTechnology EducationDr. Marilyn Barger P.E., FLATE (Florida Advanced Technological Education Center of Excellence) Dr. Marilyn Barger is the Senior Educational Advisor of FLATE, the Florida Advanced Technological Education Center, part of the FloridaMakes Network. FloridaMakes is the NIST Manufacturing Ex- tension Partnership (MEP) Center in Florida, but previously FLATE was founded and funded by the National Science Foundations Advanced Technological Education (NSF-ATE) as a Regional Center of Excellence. FLATE’s mission is to support
on campus andsupport for the CS118 introductory computer science course. See Figure 2 for examples after thesoftware was updated to support computer science. The CS118 course is an introduction tocomputer science taught using the programming language python course primarily for freshman.The original Lunar Languages developers have since graduated, but the question remains, wouldthis style of application be a useful addition to course curriculum for other courses. The app hasthe potential to be continued and expanded if there is a positive response. Figure 2: Updates to Lunar Lang to Support CS118 Computer Science Course3 Augmented Reality and Practice ModeThe application supports two different courses and twelve different categories
Paper ID #22511Process Oriented Guided Inquiry Learning in Introductory Computer Sci-enceDr. Helen H. Hu, Westminster College Helen H. Hu received her Ph.D. in computer science from the University of Utah. She is a Professor of Computer Science at Westminster College and a member of the ACM. Her research interests include active learning pedagogies and broadening participation in computer scienceMr. Clifton L. Kussmaul, Muhlenberg College Clif Kussmaul is Associate Professor of Computer Science at Muhlenberg College. Previously, he was Fulbright Specialist at Ashesi University, Visiting Fulbright-Nehru Scholar at the
. . . session 2326 . The Computer...A Real-World Engineering Tool For Freshmen J. Douglas Sterrett, Robert L. Drake, Ottis L. Barron University of Tennessee at Martin Abstract Two new courses which have been added to the freshman engineering cuniculum to replace thetraditional introductory engineering courses are discussed. These courses were designed to introduce thestudent to the use of the personal computer to establish a link between physical measurements, dataacquisition, analysis, and the control of
Paper ID #18994Entrepreneurial-Minded Learning in a Freshman Mini-project in Comput-ingDr. Danai Chasaki, Villanova University Danai Chasaki received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2006. She also received a M.S. and a Ph.D. degree in Electrical and Computer Engineering from the University of Massachusetts Amherst in 2009 and 2012 respectively. In 2012, she joined the Department of Electrical and Computer Engineering at Villanova University as an Assistant Professor. Before that, she was an Adjunct Instructor at Worcester Polytechnic Institute and
data that could be of use wouldbe to test the various implementations with a different course instructor, and look for similarperformance differences. In conclusion, when some of principle problems associated withteaching and learning programming are analyzed, modified lecture with SI seems to offer somepositive initial results.References[1] D. Sleeman, “The challenges of teaching computer programming,” Communications of theACM, Vol. 29, No. 9, 1986.[2] S. Sentance and A. Csizmadia, “Computing in the curriculum: Challenges and strategies froma teacher’s perspective,” Educ. Inf. Technol., Vol. 22, pp.469-495, 2017.[3] M. Ben-Ari, “Constructivism in computer science education,” Proceedings of the twenty-ninth SIGCSE technical symposium on
AC 2007-2080: COMPUTER-AIDED INSTRUCTION OF FUNDAMENTALMECHANICS COURSES USING MATLABKyu-Jung Kim, California State Polytechnic University-Pomona Page 12.390.1© American Society for Engineering Education, 2007 Computer-Aided Instruction of Fundamental Mechanics Courses Using MATLAB Kyu-Jung Kim, California State Polytechnic University, PomonaAbstract Fundamental mechanics courses including statics, dynamics, strength of materials, anddesign of machine elements are typically taught for engineering students in lecture anddiscussion format using traditional techniques. These fundamental mechanics courses are mostlyinvolved
2006-1987: USING NETWORK ANALYZERS FOR ENHANCEMENT OFCOMPUTER NETWORKS TEACHINGXuefu Zhou, University of Cincinnati Xuefu Zhou is an Assistant Professor of Electrical and Computer Engineering Technology in the College of Applied Science at University of Cincinnati. He received the M.S. in Electrical Engineering from University of Cincinnati in 2002. He is a Ph.D. candidate in Electrical Engineering, College of Engineering at University of Cincinnati. His teaching and research interests are in communications, distributed computer systems and computer networks. Page 11.1398.1© American Society for
research, absorption of air pollutants in human upper airways, attrition and university retention, increasing student awareness and interest in research and engineering, STEM education, and recruitment and retention of women and minorities. Page 24.445.1 c American Society for Engineering Education, 2014 e-Learning: Teaching Computer Programming Online to First Year Engineering StudentsAbstractComputer Programming is an important component of a curriculum in engineering. Manyengineering programs require students to learn computer programming during the first year
not covered in detail in an engineering curriculum. This course also provides a fun,interactive way to introduce upper level students to skills needed in the workplace and to provideindustry with well-trained graduates.Bibliography1. David A. Patterson and John L. Hennessy, "Computer Organization and Design, the Hardware /Software Interface", Morgan Kaufmann, San Francisco, CA, 1998.2. Bruno Favennec and Yves Sagnier, “A Datalink that Meets the Requirements: Mode S, Fourth European ATS Datalink Forum, Nice, France, November 1996.3. R. M. Felder, and R. Brent, National Effective Teaching Institute, 2000.JOE HARTMANJoe Hartman is an Associate Professor of Electrical and Computer Engineering at Boise State University. Prior tojoining Boise
. [Online]. Available: https://eric.ed.gov/?id=EJ1076098[6] A. Kononov et al., “Computational curriculum for MatSE undergraduates,” in ASEE Annual Conference and Exposition, Conference Proceedings, Jun. 2017. Accessed: Nov. 04, 2018. [Online]. Available: https://experts.illinois.edu/en/publications/computational- curriculum-for-matse-undergraduates[7] L. (Samantha) Li, “Integrating Computational Modeling Modules into Undergraduate Materials Science and Engineering Education,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2016. [Online]. Available: https://scholarworks.boisestate.edu/mse_facpubs/276[8] A. J. Magana, M. L. Falk, and M. J. Reese Jr., “Introducing Discipline-Based Computing in
Session 3232 Semester Long Projects in Electrical and Computer Engineering Laboratories Micheal Parten Department of Electrical and Computer Engineering Texas Tech UniversityI IntroductionThe Department of Electrical and Computer Engineering at Texas Tech University began stand-alone project laboratories in the early 1960s. The project lab structure has continued to evolveover the past 40 years. 1-9 Students take 5, 3-hour credit laboratories not directly associated withany lecture course. Although the
Now That Computers Are Here, What Do We Do In Lab? DONALD D. JOYE Department of Chemical Engineering, Villanova University, Villanova, PA 19085DONALD D. JOYEDr. Joye has been at Villanova for 30 years and counting. He graduated from PrincetonUniversity (B.S.E. 1967) and did graduate work at Lehigh (M.S. 1969, Ph.D. 1972). Hismajor interests are in Fluid Mechanics, Heat Transfer, Mass Transfer, Polymers andRheology. He has five years industrial experience with Sherwin-Williams Chemicals,Engelhard, and Hercules, Inc. doing process engineering, patents, and process R&D. He hasheaded the laboratory program in chemical engineering at Villanova
Judgment (ACJ) assessment techniques, student design portfolios, and Technology & Engineering teacher preparation. American c Society for Engineering Education, 2021 Engaging Elementary Students in Computer Science Education through Project-Based LearningAbstractAs interests and initiatives for accessible computer science education continue to grow, efforts tointegrate computer science (CS) instruction into K-12 classrooms in the US are dramaticallyincreasing. Curriculum, legislation, and standards across the nation are quickly evolving as theyseek to incorporate CS instruction and related concepts into classrooms in order to makecomputer science
AC 2008-2439: HOW ACCURATE IS STUDENTS’ SELF-ASSESSMENT OFCOMPUTER SKILLS?Michael Collura, University of New HavenSamuel Daniels, University of New Haven Page 13.671.1© American Society for Engineering Education, 2008 How Accurate is Students’ Self-Assessment of Computer Skills? AbstractSelf-evaluation by students is commonly used as a key element in program and courseassessment plans. Such instruments are intended to provide crucial feedback for programimprovement and thus play a significant role in closing our assessment loop. For many of theprogram outcomes, self-assessment by current students and graduates augments other
introductory computerscience courses often work in teams or partnerships. In this paper, we examine the composition ofstudent partnerships on programming projects in an introductory computer science course and itsrelationship to student performance.We analyze data from 1,434 students enrolled in an introductory computer science course at ahighly ranked public university, collected over one academic year. These data include studentgroup composition, performance on projects and exams, and demographic information. Thecourse is a second-semester “CS2” programming and introductory data structures course, and ispart of the core computer science curriculum for majors and minors. Students had the option towork in partnerships or to work alone on projects.Our
implementing the new course. Thefourth section will present self-reported student survey results and the last section will concludethe paper and present future work.Literature ReviewA number of studies and papers have been published on improving undergraduate computerengineering student's proficiency in Hardware Description Languages (HDLs) like Verilog andVHDL. Nestor et. al. introduced HDLs and Field-Programmable Gate Arrays (FPGAs) throughoutthe ECE curriculum at Lafayette College1. He began introducing HDL design in senior-levelelectives, but then propagated the material down into both a junior-level computer architecturecourse and two sophomore-level digital design courses. The results were generally positive withthe students appreciating the
just for building computational,presentation and communication skills, but also for increasing their marketability at obtainingquality internships and jobs.A revisit of the current pedagogy and curriculum design for incorporating ComputationalThinking; and to argue for the importance of a hybrid teaching approach is recommended [7,8].This calls for promoting Computational Thinking in a dynamic manner such that we aredeveloping learners’ computational minds rather than rudimentary Computational Thinkingskills.A framework of Zone of Proximal Development and Flow targeted at pedagogy and semanticassessment in Computational thinking education is recommended by research [1]. This will helpinstructors by measuring student skills and challenges and
Motorola/Freescale68HC11. The architecture and implementation documents are written so that several options arepossible for introducing nod4 into the classroom curriculum. In particular, students mayinvestigate the nod4 processor or implement the processor themselves. It is also possible topresent the processor architecture entirely without the implementation.IntroductionThis paper presents a simple yet nontrivial Von Neumann style computer architecture andcorresponding implementation that undergraduate students may implement as a soft-coreprocessor. Engineers are continually called upon to make decisions regarding what isappropriate for a given application. The grand vision serves as a north-star to inspire and helpthe designer in making
improvedelectrical and computer engineering curriculum content [14].We can therefore conclude that in context of Bloom’s taxonomy, computer simulation tools mayadd value to the student learning experience if they enable instructors to: 1. Shift the function of undergraduate courses from imparting content at the Knowledge level to instead improving the student’s learning process to reach the Synthesis and Evaluation levels. 2. Increase the amount of material or class size while continuing to achieve learning outcomes.Despite previous work comparing the efficacy of hand-on, simulated, and remote laboratories[15]-[17], the debate regarding different approaches to course and laboratory instruction methodshas not been settled in general and
Session 1761The Accreditation Board for Engineering and Technology1 has argued that ethics should be acentral theme throughout the computer science curriculum. The content contained in computerethics is very different from the technical courses computer science faculty completed asgraduate students. In other words, computer science faculty are unlikely to have prior training orprevious teaching experience in computer ethics. The National Science Foundation (NSF) hasrecognized this problem and is supporting projects that seek to develop computer scienceteachers' knowledge and understanding of computer ethics and how to teach computer ethics.This paper focuses on one such NSF funded project (NSF CCLI-DUE: 9952841), DevelopingOn/Off-line Computer
suitable for teaching situationsinvolved in computational physics courses, together with the lack of programminglanguage licenses available for students have also been other factors. Students usuallyacquire what computing skills they do have by working on specific thesis or seniorproject problems and as a result, their exposure is often far from complete. Figure 1: Place of computational physics in the physics and science fieldsPhysics, like other structured disciplines, has a very full curriculum because studentsneed to learn challenging material dating back at least two centuries ago. Much of theolder ideas, methods or techniques are still important and cannot simply be replaced bythe most recent advances. However, computers and computing
ON THE AESTHETICS OF COMPUTER AIDED TOOLS FOR SIGNAL PROCESSING Murat Tanyel, Charles Adams Dordt CollegeABSTRACT“Beauty is in the eye of the beholder” the old saying goes. The wisdom of ages seems to suggest that perception ofbeauty, a quality that invokes aesthetic pleasure, is arbitrary and this old adage is invoked to express the futility ofefforts to reconcile differences in taste. But is perception of beauty really as arbitrary as this saying is taken toimply? Is there a consistent explanation for the aesthetic aspect of objects that would account for the variance ofaesthetic pleasure they invoke on
extremely important markettrends: infrastructure modernization and cloud computing” 1. One of the paper’s authors, Dey, asthe Lead Faculty for the Masters in Computer Science (MS-CS) program of National University(NU), facilitated the inclusion of agility through virtualization in the curriculum of the DAT 605,Web and Cloud Computing (WCC) course.National University Class-per-Month Schedule. NU offers WASC accredited onsite and onlineteaching modalities in a one semester coursedelivered in a single calendar month. This is truly accelerated, Internet-time delivery of coursematerial and becomes especially challenging to the engineering programs in the School ofEngineering and Computing (SOEC)), and the Computer Science and Information
Paper ID #36431Community College Computing Programs’ Unique Contexts for PromotingGender EquityDr. Erin Carll, University of Washington Erin Carll is an evaluator and researcher at the University of Washington Center for Evaluation and Re- search for STEM Equity. She earned a PhD and MA in Sociology as well as a certificate in demographic methods and a concentration in social statistics from UW. She also earned an MA in Russian, East Eu- ropean, and Eurasian Studies from Columbia University, a BA in Political Science and Russian Studies from Central Connecticut State University, and an AA in Liberal Arts and Sciences from
spintronics.Mr. John Edison, University of Central Florida Computer Engineering, MSDr. Richard Hartshorne, University of Central Florida Richard Hartshorne is an Associate Professor and Coordinator for the Instructional Design & Technology program at the University of Central Florida (UCF). He earned his Ph.D. in Curriculum and Instruction with a focus on educational technology production and technology and teacher education from the Uni- versity of Florida. Prior to his tenure at the UCF, Richard was an Assistant and Associate Professor of Instructional Systems Technology at the University of North Carolina at Charlotte for seven years and a physics instructor at Ed White High School in Jacksonville, FL for seven years
and has served on the Editorial Advisory Committee for TOMACS. He is a member of the Institute of Industrial Engineers.Diane Raubenheimer, North Carolina State University Director of Assessment for the College of Engineering Page 12.391.1© American Society for Engineering Education, 2007 COMPUTER BASED MODELING FOR ENGINEERS USING EXCEL AND VBAAbstractMany engineering curriculum around the country are re-evaluating their introductory computerprogramming requirement. At our university, several departments have been changing from thetraditional Java or C++ course to something more