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- Computing Technology Applications-II
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- 2018 ASEE Annual Conference & Exposition
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Vuk Marojevic, Virginia Tech; Antoni Gelonch-Bosch, Universitat Politècnica de Catalunya; Jeffrey Reed, Virginia Tech
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Computing and Information Technology
valuable addition tothe electrical engineering curriculum.We argue that the reasons behind the technical choices, their impact on the resource consumptionand the performance versus flexibility tradeoffs are relevant for cellular communicationsstandards education. Moreover, project management, team work, development of realisticexpectations and practical solutions are skills that are much demanded by industry in addition todomain-specific technical specialization. We therefore propose a methodology for teachingstandards that creates favorable conditions for developing those skills.The combination of lecture-centered education [2] with laboratory-centered approaches [3], [4],has been adopted in the engineering curriculum when the Conceive, Design
- Conference Session
- Computing Research
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- 2018 ASEE Annual Conference & Exposition
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Deng Cao, Central State University; Cadance Lowell, Central State University; Augustus Morris, Central State University
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Computing and Information Technology
soybean oligosaccharides before joining Central State University in 1989. Dr. Lowell maintains a re- search program in directed energy weed control. She mentors undergraduate students in funded research projects who have gone on to present at local, state and national conferences.Dr. Augustus Morris, Central State University Dr. Augustus Morris is the Chair of the Manufacturing Engineering department at Central State Univer- sity, Wilberforce, OH. He is also the Program Director of the NSF funded grant, Implementing Pathways for STEM Retention and Graduation (IPSRG). His research interests include robotic applications in agri- culture, haptic devices, high altitude balloon payload design, and cellulose-based composite
- Conference Session
- Computing & Information Technology: Curriculum and Assessment
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- 2018 ASEE Annual Conference & Exposition
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Predrag T. Tosic, University of Idaho; Julie Beeston, University of Idaho
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Computing and Information Technology
]. Predictions for the near future are that this demand for data-skilled talentwill continue to grow, whereas the supply (from colleges and universities training the nextgeneration of data scientists and analysts) will not be able to keep up with that pace (for one suchstudy see, e.g., [3]).To fill in that gap, graduate programs at several leading research universities have created newtracks within the existing graduate programs, or in a few cases new degree programs entirely,focusing on data science and analytics [4]. These programs are led and taught by the existingfaculty ranging from Mathematics & Statistics to Computer Science to Business Schools.However, while training MS and PhD level Data Scientists is important, by itself it is unlikely
- Conference Session
- Topics in Computing and Information Technology-II
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- 2018 ASEE Annual Conference & Exposition
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Farshid Marbouti, San Jose State University; Valerie A. Carr, San Jose State University; Belle Wei, San Jose State University; Morris E. Jones Jr., San Jose State University; Amy Strage
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and introduces students to a second programming language, R, whichis commonly used for data analysis purposes.4. Program AssessmentOne of our programmatic concerns was to develop pedagogical practices that were best suited tothe needs of students we aimed to attract. In order to monitor the impact of our efforts, wedesigned surveys and conducted focus groups to gather students’ feedback about the courses andthe ACBSS program in general. In this section, we briefly report assessment results including(1) surveys completed by ENGR 120 students at the end the of Fall 2016 and 2017 semesters, (2)focus group results conducted by an external evaluator for ENGR 121 in Spring 2017, and (3)focus group results for ENGR 122 in Fall 2017.In addition to
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- Tools and Techniques
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- 2018 ASEE Annual Conference & Exposition
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Tamer Omar, California State Polytechnic University, Pomona
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should not be considered a production-based environmentnor interfere with such an environment that serves the entire campus and its constituents. Theyrecommend that the lab may be best served by a joint venture or contract directly with a cellularprovider that may offer an avenue to provide coverage in an area that is not impacted by theuniversity DAS.According to design concepts of cellular networks both DAS and small-cell systems can coexist.Each system can use different frequency band from a different MSPs. This design will mitigateany form of interference between the running production systems serving the universityconstituents and the lab test-bed. Another solution is using carful coverage design to providespecific areas for lab small-cells
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- Computing Technology Applications-II
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- 2018 ASEE Annual Conference & Exposition
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Tamer Omar, California State Polytechnic University, Pomona; Srikanth Venkatesan, California State Polytechnic University, Pomona; Abdelfattah Amamra, California State Polytechnic University, Pomona
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Computing and Information Technology
On-Campus. The availability of research labs to provide the required resources for programs. The qualification of faculty instructing in the program. The relationship of the institution with government & private sector. Availability of scholarships & grants to students. Location proximity of the institution to tech areas, government defense agencies, and hubs of corporate activity. NSA CAE Designation: CAE designations provides indicators to the quality of the program.Table 1 provides a list of the universities, their available programs, and related information. Forpurpose of the quantitative analysis in this study, a Boolean variable Y or N is used to indicatethe availability or
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- Tools and Techniques
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- 2018 ASEE Annual Conference & Exposition
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Karen H. Jin, University of New Hampshire; Michael Jonas, University of New Hampshire; Christopher David LeBlanc, University of New Hampshire; Theodore Sean Tavares, University of New Hampshire
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Paper ID #23065Modernizing Capstone Project: External and Internal ApproachesProf. Karen H. Jin, University of New Hampshire Karen H. Jin has been an Assistant Professor of Computer Science in Computing Technology program at UNH Manchester since Spring 2016. She previously taught as a lecturer for over ten years in University of Windsor and Dalhousie University. Her interest in computer science education research focuses on devel- oping new empirically supported theories and practices in teaching programming, software engineering and project-based learning with industrial relevance. She received her Ph.D. and M.Sc. in
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- Computing & Information Technology: Curriculum and Assessment
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- 2018 ASEE Annual Conference & Exposition
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Michael Oudshoorn, Northwest Missouri State University; Rajendra K. Raj, Rochester Institute of Technology; Stan Thomas, Wake Forest University; Allen Parrish, United States Naval Academy
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process to ensure an appropriate high-quality program. • Support for professional development. • Modern and appropriate tools and equipment to support the program of study. • Appropriate institutional support to deliver the program of study. • Recruiting faculty who value accreditation because they themselves graduated from an ac- credited program. • A commitment to best practice. • Utilization of data to know how well the program is preparing students through attainment of the student outcomes. • Focus on “student outcomes” rather than “teaching points.” • Engaging stakeholders in the accreditation and continuous improvement processes.Employers hiring graduates of an accredited program see value in the following ways
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- Computing Technology Applications-I
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- 2018 ASEE Annual Conference & Exposition
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Predrag T. Tosic, University of Idaho; Julie Beeston, University of Idaho
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Computing and Information Technology
: from graduate students overcoming true or perceiveddeficiencies in the CS foundations, to undergraduates transferring from local community colleges, many of whom stillstruggle with formulating a mathematical proof of any kind. This mix of students provides unique challenges, but alsoopportunities -- for example, to revisit teaching methodologies for the "mathematical side of computer science"curricula, how to best relate theory to practice (esp. in terms of technologies and applications these diverse studentscan most readily relate to), and how to best get students of broadly varying backgrounds actively engage in classdiscussions.Keywords:Teaching Undergraduate Computer Science, Theoretical Computer Science, Computer Science Curricula