University ofTechnology, JamaicaEngineering DeansInstitute Conference,Biltmore HotelPresented by Prof. Nilza Aples - DeanApril 3, 2017 1 History and Background• Established 1958 as Jamaica Institute of Technology• Changed to the College of Arts, Science and Technology in 1959• Granted University status in 1995 2 Our VisionThe University of Technology, Jamaica will:• Offer innovative, transformational, profession-driven and leading-edge programmes• Have in place high quality staff who are professionally competent, innovative and leaders in their own field• Operate with high quality environment. 3
. • Sponsor 70%; State 15%; OR/college/dept 5%/5%/5%• Other Cost Share: • Most c/s is in-kind e.g. % time of faculty and key staff • Up to 10% cash matched 1:1 College/Dept• We require 2-4 weeks to develop cost share plans • It is rarely formulaic, and often requires 1-1 negotiation. Some offices require 2 weeks lead time
5-20 years Discovery & Invention (Basic and Applied 4-8 years Science)Focus 2-4 years Leap Ahead Innovations Technology (Innovative Naval Maturation Prototypes) ≈ 12% ≈ 50% 1-2 years (FNCs, etc.) Quick Reaction &
2016 CoE Research Expenditures 90 80 70 60 50 40 30 20 10 0FY 02 03 04 05 06 07 08 09 10 11 12 13 14 15ASEE Data Myriad Genetics Genetic Testing for Hereditary - Breast and Ovarian Cancer BRACA 1 & BRACA 2 - Uterine Cancer - Colorectal Cancer - Pancreatic Cancer - Prostate Cancer TypeMark Skolnick Peter Meldrum BioFire Rapid Cycle PCR - Respiratory Panel (20 viruses & bacteria) - Blood Culture
information, equipment or software, are not technology or technical data that arises during or results from fundamental research”(EAR 734.8 Note 1; ITAR 120.49(a) Note 1)• Deleted from Final EAR Rule which now states only that information that is not intended to be published is not fundamental research.• ITAR ??• Recent NAS report calls attention to conduct issue The Bottom Line• Many changes helpful to universities in ECR• Migration of controlled items to EAR and harmonization of many controls beneficial• “Defense services” in ITAR longstanding concern which ECR changes over time would largely have addressed but status now uncertain• Proposed ITAR exclusion of sponsor proprietary review from fundamental research remains major
M3C COPN BSBA ACQUIRE NewLAW 2-DARE HyBi MIKS ODISSEI PSBRAdvancing Communication Quantum InformationResearch in Engineering (ACQUIRE)• Key Idea: Address key engineering research challenges to enable room temperature, chip-level transducers, repeaters, systems and architectures for a secure, scalable quantum communication network.(1) Reproducible room temperature single photon sources and detectors on a chip,(2) Low-energy quantum devices such as repeaters and memories,(3) Generation of quantum entangled Qbits scalable to multi-Qbits, and demonstration of a secure
Investigate INNOVATE 10-30 years Technologies TRL 3-4/5 6-15 years Fundamental Research Fundamental/Disruptive Technologies TRL 1-3 Basic
ENGINEERING DEANS INSTITUTE 2017 Cool Ideas Session April 3, 20171. Change Team for Diversity,Equity, and InclusionScott Ashford, Kearney Professor and Dean Goal 1 in our strategic plan is to become a model of an inclusive and collaborative community • Disrupted faculty hiring process for diversity • Last three years over half new hires women and minorities • Added Associate Dean for Faculty Advancement • Primarily to guide recruitment and P&T process • Unexpected benefit as resource for faculty in need • Established the “Change Team” in Fall 2016 • 25 faculty and staff across the college • Did not turn out as expected3 Change Team for College of Engineering as
STEM learning and instruction. c American Society for Engineering Education, 2017 Scaling for the Future: Development of a Sustainable Model for Teaching MATLAB Programming to STEM Students Bradley J. Sottile1, Stephanie L. Cutler2, and Alexa M. Kottmeyer2 1 School of Electrical Engineering and Computer Science, The Pennsylvania State University 2 The Leonhard Center for the Enhancement of Engineering Education, The Pennsylvania State UniversityAbstractAn undergraduate programming language course in MATLAB has experienced explosiveenrollment growth over the last decade at the Pennsylvania State University’s University Parkcampus. To adapt to the huge growth in
Preliminary Investigation into the Use of Audience Video Recordings to Assess Student Engagement During Large Lecture Classes Matthew Bilsky, PhD,1 Christian Davis1, Kiana Wright2, and Kumar Swagat1 1 Lehigh University, Mechanical Engineering and Mechanics 2 Lehigh University, Material Science and EngineeringAbstractTwenty-first century higher education is moving from a faculty-centered teaching model tostudent-centered learning. With this change the question has become are the students learning?This study presents a method for direct, authentic, and formative assessment of the studentengagement level during various lecture techniques in large classes. The basis for this study is thatstudent
number of keystone events addressing the potential for a “SilentSpring” and the “tragedy of the commons”, for example [1]-[2]. Shortly after the NationalEnvironmental Policy Act, the creation of the Environmental Protection Agency, and theestablishment of Earth Day, Saarinen [3] emphasized the need to understand the link betweenhuman activity and environmental impact as future decisions grow in significance. These conceptsare not new as Thomas Malthus [4] emphasized the stresses the human population may place onresources essential for continued survival may result in collapse due to essentially exceeding theEarth’s carrying capacity. Although technological improvements provide a means to continuallychange projected resource exhaustion, the
design and enhancing creativity in engineering design settings. c American Society for Engineering Education, 2017 Paper ID #20989Dr. Kristen A Lee, Menlo College c American Society for Engineering Education, 2017 Assessment of Progressive Learning of Ethics in Engineering Students Based on the Model of Domain Learning Esparragoza, Ivan1, Kulturel-Konak, Sadan2, Konak, Abdullah2, Kremer, Gül3, and Lee, Kristen4 1 Penn State Brandywine 2 Penn State Berks
. Figure 1: Main page of the ABRS websiteDesign SummaryThe backend server for the ABRS project uses a cloud-based solution. The benefits of thisapproach include no initial hardware setup, high reliability, and reduced cost. Heroku3, a cloud-based Platform-as-a-Service (PaaS) provider, was selected for the ABRS project. Heroku providesseveral advantages over other providers such as Amazon Web Server (AWS). Heroku is easy touse and provides a streamlined mechanism for deployment. Heroku also offers a free tier that iswell-suited for this project. One limitation of Heroku’s free tier is that the ABRS web applicationcan only run 18 out of every 24 hours. However, this does not impact the ABRS system sincerentals are only permitted during daylight
Disorders, International Journal of Industrial Ergonomics, Ergonomics, and Safety and Health at Work. c American Society for Engineering Education, 2017 Case Study of a Video Game Design & Development Course for Mechanical Engineers Joseph M. Mahoney1 1 Penn State Berks, Division of EngineeringAbstractAnecdotally, it has been observed that many engineering students are not motivated to learn orapply computer programming in their courses. Possibly, this is due to computer science topicsbeing pushed upon them rather than students learning them as needed. A senior-level video
future interdisciplinaryassignments while eliminating potential grading bias. This type of assessment methodologycould benefit students, by introducing them to advantages coming from broader knowledge, andeducators, by letting them develop cross-disciplinary assignments that are resilient to instructor’sgrading bias while stimulating students interests.KeywordsAssessment, common assignment, grading bias, interdisciplinary courses.IntroductionStudent learning outcomes are commonly defined as “any change or consequence occurring as aresult of enrollment in a particular educational institution and involvement in its programs”1.Assessment is the process of defining, selecting, designing, collecting, analyzing, interpreting,and using information to
sub-minute data binningcapability of the QuarkNet detector, future muon fluctuation volatility analysis by high schoolteachers and students for solar event analysis projects is discussed.KeywordsMuon detection, fluctuation volatility, solar eruption, magnetic cloud, high school research projectIntroductionQuarkNet is an association of physicists, college physics professors and high school physicsteachers dedicated to infusing the standard curriculum with contemporary physics. It providessummer programs for teachers and activities for students 1. Each center is based at a college withsome connection to high energy physics. Surprisingly, New York City has not had an activeQuarkNet center for a long time. In 2016, Queensborough Community College
Education, 2017 Design and construction of a cosmic ray detector array for undergraduate research at the City University of New York R. Armendariz,1,2 D. Buitrago,1 T. Cheung,1 D. E. Jaffe,3 M. Kennedy,2,4 G. Stoddard,2,4 A. Zhang3 1. Department of Physics, Queensborough Community College 2. Department of Physical Sciences, Suffolk County Community College 3. Physics Department, Brookhaven National Laboratory 4. Department of Engineering, Stony Brook UniversityAbstractCosmic ray detectors are being built by undergraduate engineering and computer scienceresearch students, high school teachers, and college
mechanical properties of metals in their own built testers has been conducted.Specifically, the following two design-build projects were assigned to teams consisting of 3-4students: - Project 1: Design-build a tester for studying the axial load/displacement behavior of wire samples (modulus of elasticity, yield strength, ultimate strength, elongation at break, etc.) - Project 2: Design-build a tester for studying the torque/twist behavior of rod samples (shear modulus, shear yield strength, etc.)Each project was expected to be completed in five weeks followed by a week of testing,demonstration, instructor feedback, and final reporting. There were three distinct phases for eachproject.Problem Statement, Conceptualization, and
inacademic settings, for undergraduate engineering students. The research questions driving thisqualitative study are: 1. Based on the students’ responses, what strategies helped them learn in settings outside the classroom? 2. What causal mechanism emerged from the data as being responsible for helping students learn in settings outside the classroom? 3. From the students’ perspective, how does learning in non-academic settings differ from learning in academic settings?To the answer these questions, we analyzed transcripts from semi-structured interviews with 17engineering students. Sensitization With regards to use of theory, classical Grounded Theory researchers advocate
researchers seek to understand whether and to what extent thedevelopment of engineering “habits of mind and action” in middle school STEM (science,technology, engineering, and math) courses leads to improvements in problem solving abilities,integration of STEM content, and increased interest in engineering. The Next Generation ScienceStandards (NGSS; NGSS Lead States, 2013) call for “raising engineering design to the samelevel as scientific inquiry in science classroom instruction at all levels” (p. 1). Reflecting thisemphasis on engineering as a core idea, recent reforms include proficiency in engineering designas a key component of college and career readiness (Auyang, 2004; Carr, Bennett, & Strobel,2012; Duderstadt, 2008; Kelly, 2014
inherently collaborative. We leveraged this collaborativenature to design and execute the instructor interventions. The results comparing the top risksbetween the two semesters show the effectiveness of the instructor interventions and suggestways to further improve risk management in students’ agile software development teams.1. IntroductionIt is common for a software project to face many risks in its lifecycle, from conception andconstruction to deployment and maintenance. Risk is any potential situation or event thatnegatively affects the project’s success. While the ultimate success of software often hinges onthe fulfillment of the stakeholders’ requirements, the project failure can be multi-faceted:frequent rework, architectural mismatch
& Cartier’s model ofself-regulation in context and Dym & Little’s prescriptive design process frameworks. Fourengineering experts, two from each respective engineering discipline, were recruited to help codethe design process. The interrater agreement yields an almost perfect agreement. Additionally,the data was also coded based on SRL constructs. Our findings suggest that all groups sharednumerous similarities in regulating their activities throughout the design process and projectmanagement. Any dissimilarities found were due to the nature of the sub-discipline, problem,design, and team.Introduction One of the most important skills for an engineer is the ability to solve problems [1]–[3].Jonassen believes that problem-solving
nor examples of characteristics provided. They were then asked to name the second-most important, third-most important, fourth-most important and fifth-most importantaspect. Some students provided a sixth most important job attribute. Twenty-eight studentsresponded. Table 1 is a summary of the results of the poll. Response #1 #2 #3 #4 #5 #6 Totals Salary 10 5 2 3 3 23 Benefits 8 3 4 2 2 1 20 Work environment 2 1 3 5 3 14 Culture 2 1 2 2 3 10 Growth 1 4 1 3 1 10 Location 1 1 4 2 1 9 Co vehicle
introductory biology course into an active learningexperience that resonates with a wide range of undergraduate students. Backward course designled to an innovative curriculum that (1) is based on biology’s big ideas, (2) has measurablelearning outcomes, and (3) encourages development of higher order thinking skills. Our studioclassroom design maximizes interactions; cantilevered workstations distributed throughout theroom encourage student-instructor and student-student interactions. Group discussions occur atwhiteboards as students solve problems, create concept maps, plan experiments and interpretexperimental data. Workstation computers and dual monitors support whole-class instruction aswell as student-led group explorations. The classroom design