Conference Session

Potpourri

Collection

2012 ASEE Annual Conference & Exposition

Authors

Afsaneh Minaie, Utah Valley University; Ali Sanati-Mehrizy, Pennsylvania State University; Paymon Sanati-Mehrizy, University of Pennsylvania; Reza Sanati-Mehrizy, Utah Valley University

Tagged Divisions

Computing & Information Technology

during a weekly scheduledtime for each student. At the end of the semester, they turn in a final written report and a finalpresentation which is evaluated by several faculties from the department. The follow are sampleSenior Design Projects which reflect common student projects2.Sample Project 1: Teleoperated RoverThe objective of this project was to design a remotely-controlled and highly mobile robot toallow an individual to remotely see and interact with others or the environment. The robotchosen for this project was the Lynxmotion Rover robot1 (Figure 1). The robot chassis wasmade from heavy-duty anodized aluminum structural brackets and laser-cut lexan panels. It usedfour 12.0 V dc gear head motors and 4.75 “tires and wheels”8

Conference Session

Emerging Information Technologies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Erin Shaw, University of Southern California; Michael Crowley, University of Southern California; Jaebong Yoo, University of Southern California; Hao Xu, University of Southern California; Jihie Kim, University of Southern California

Tagged Divisions

Computing & Information Technology

recently addedto the workflow suite using a classifier based onmachine learning13.The instructor also suggested that, analogous to showing initial posts and response posts BY thestudent, we might show response posts TO the students’ posts, and, furthermore, break thesedown by role, i.e. whether the response was from a student, assistant, or instructor. Related tothis, the instructor suggested that we show the thread length for response (or answer). He alsowanted to know, if an answer was good, why were there more answers? This table has not yetbeen updated to reflect the results of the investigation.Scholarly SignificanceThere is an emphasis today on data-driven instruction; the data referred to typically ranges fromsummative, standardized exam

Conference Session

Emerging Information Technologies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Robert E. Efimba P.E., Howard University; Tori Rhoulac Smith, Howard University

Tagged Divisions

Computing & Information Technology

based on the performance of thestudent members on the prerequisite test, given in the first week of class, or the most recentexam. To the extent possible, the teams also reflect diversity of major, gender, and evennationality. Teams are shuffled and students are assigned to different teams from one assignmentto the next, in order to maximize networking in the class. Sometimes, students are allowed tomake up their own teams, but diversity is still required. For example, in a Statics class of 25students in Fall 2011, students divided themselves into 5 teams, each with two men and threewomen, from at least two majors, most of whom were mechanical and chemical engineeringstudents, with a few civil and electrical engineering majors.Each team is

Conference Session

IT-based Instructional Technologies

Collection

2012 ASEE Annual Conference & Exposition

Authors

Alexander A. Kist, University of Southern Queensland

Tagged Divisions

Computing & Information Technology

Instruction, 2003. 13(2): p. 125-139.11. Sambrook, S., Factors influencing learners' perceptions of the quality of computer based learning materials. Journal of European Industrial Training, 2001. 25(2/3/4): p. 157-167.12. Killen, R., Effective teaching strategies : lessons from research and practice. 5th ed. 2009, South Melbourne, Vic.: Cengage Learning. x, 374.13. Department of Education, Queensland, Productive Pedagogies: Classroom reflection manual. 2002.14. Moebs, S.A., A learner, is a learner, is a user, is a customer: QoS-based experience-aware adaptation, in Proceeding of the 16th ACM international conference on Multimedia. 2008, ACM: Vancouver, British Columbia, Canada. p. 1035-1038.15. Reichl, P., B

Conference Session

Innovations in Computing Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mohammad Rafiq Muqri, DeVry University, Pomona; James R. Lewis, DeVry University, Pomona

Tagged Divisions

Computing & Information Technology

newhigh school graduates, student retention, getting them engaged, and enhancing their skill-set. BillGates has rightly said, “Our current expectations for what our students should learn in schoolwere set 50 years ago, to meet the needs of an economy based on manufacturing and agriculture.We now have an economy based on knowledge and technology.”For today’s students, classrooms are not the only form of learning space. They are goal oriented,prefer multitasking, learning in social contexts, and thrive on smart phone app Objective-C is anelegantly reflective language based on C with added Smalltalk style object oriented conceptswhich optimizes Model-view-Controller (MVC) software architecture. It is often used in tandemwith a fixed library of

Conference Session

Innovations in Computing Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Hassan Rajaei, Bowling Green State University; Eman A. Aldakheel, Bowling Green State University

Tagged Divisions

Computing & Information Technology

 ultimately uses IaaS utilities. In addition, the project identified different levels of difficulties in courses to explore more than one layer of cloud services.  Figure 4: The proposed CBE­CS architecture mapping Computer Science courses to the  Cloud architecture (courses appearing in multiple layers have different levels). Moving  from  the  SaaS  layer  to  the  PaaS  reflects  the  increase  in  the  depth,  difficulty,  and complexity of a course. Likewise, the move from PaaS to IaaS indicates complexity of a course  Page 25.318.8with  respect  to  the  needs  for  details  in  VM  configuration,  networking

Conference Session

Curricular Issues in Computer-oriented Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Naser El-Bathy P.E., North Carolina A&T State University; Clay Samuel Gloster Jr., North Carolina A&T State University; Ghassan M. Azar; Cameron Seay, North Carolina A&T State Univeristy; Mohammed K. El-Bathy, Lawrence Technological University; Ibraheem A. Kateeb, North Carolina A&T State University; Rajeev K. Agrawal, North Carolina A&T State University; Aiman Ghassan Baset

Tagged Divisions

Computing & Information Technology

studentsreceived job offer. Figure 6 Number of jobs offered to the studentRelated workPrevious work in data clustering has focused on concepts similar to Intelligent Clustering BasedExtended Genetic Algorithm. K-means is most successfully used on data sets because of itssimplicity and its linear time complexity. However, it is not feasible to be used on large data sets.Hierarchal clustering algorithm creates a structure that reflects the order of divided groups. Itgives better results than K-means if it uses random data set. A GA-based unsupervised clusteringtechnique selects cluster centers directly from the data set and allows acceleration of the fitnessevaluation via a look-up table. A limitation of existing techniques is

Conference Session

Curricular Issues in Computer-oriented Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ibraheem A. Kateeb, North Carolina A&T State University; Larry Burton, North Carolina A&T State University; Naser El-Bathy P.E., North Carolina A&T State University; Michael S. Peluso, North Carolina A&T State Univerisity

Tagged Divisions

Computing & Information Technology

issuessuch as radio frequency interference, high attenuation, noise interference and data securityconcerns. B- High Temperature Superconductor (HTS) and the Smart GridIn the way that fiber optic technology revolutionized the telecommunications industry with itspotential for zero loss due to total internal reflection, the electrical industry is undergoing just as Page 25.1300.9significant revolution with a new cable type based upon High Temperature Superconductor(HTS) technology. In a traditional copper or aluminum energy cable electrons move at randomand lose energy in collisions as the collisions generate heat. In a HTS cable electrons move