A Comparison Between Frequent Out-Of-Class Assignments and Frequent In-Class Assessments Relative to Student Performance in a Sophomore Level Electrical Circuit Analysis Course

Two parallel sections of a sophomore level circuit analysis course in Electrical Engineering Technology were structured to provide insight to the marginal utility of out-of-class assignments versus in-class assessments in academic performance. Student distributions for each section, the classroom model, the composition of the common tests and exam, and grading formats are discussed. The data presented and the conditions of the resulting observations indicate the model which favored out-of-class assignments led to improved test scores

The Administration of Senior Design Projects in a Distance Learning Environment

A method for administering a senior level capstone design course in Electrical Engineering Technology in a distance learning environment is described. Several avenues are explored that help the students successfully conceive, develop, and present their design projects from off- campus locations that are consistent with the requirements placed upon their on-campus peers. Several problems that are unique to offering a senior project course in a distance learning environment are explored and solutions are described

A Pilot Course as a Step Towards New Academic Programs in Renewable Energies

The challenges arising from climate change have never before in human history been more pressing for solutions. Addressing pollution and the transition to clean energies are essential problems to solve in the upcoming decades. The process of transitioning to renewable energies has started already, with some states leading the process. As the development of industries sees a fast growth, the supply of qualified engineers and technicians to support these industries needs to keep up. At the community college level, some efforts have already started to introduce courses on renewable energies as well as boot camps or certifications to prepare the workforce to install and operate renewable energy systems. Four-year universities are catching up with these initiatives, but at a much slower pace, and at the graduate level the pace is even slower than the training initiatives at the undergraduate level. With the development of a major renewable energy industry in the area, the XXX University plans to develop more specific programs in renewable energies and to incorporate along with technical courses some coverage of the business and geopolitical aspects of the renewable energy subject. In anticipation of the actual development of new programs for either undergraduate or graduate students, a pilot course in renewable energies was conducted during the summer of 2021. The course was offered for junior/senior undergraduate students and had a broad presentation of renewable energies, theories, and practices associated with each. For this pilot course, a series of invited speaker lectures were offered. Experts in the field covered technical aspects of solar, wind, and bioenergy, as well as business, legislative and geopolitical aspects. Students taking the course participated in an end-of-semester survey about their perception of renewable energies, the associated industries, and their interest in pursuing jobs related to them. This paper will present the details of the course and the specifics of the pilot conducted this summer, as well as the analysis of the student feedback

Introduction of Mechatronics Specialization through Concentration Areas in the Mechanical and Electrical Engineering Technology Programs

The last few decades have experienced an explosion of technology, both in industry and in customer products. A large variety of embedded systems from various areas of applications, digital electronics, internet of things, automatically controlled products, and ultimately mechatronics systems are part of the everyday life. The changes in the industries, consumer markets and implicitly in the job markets, impose changes in the academic programs and curricula. Recently, mechatronics undergraduate programs started being developed in 2 or 4 years colleges across the nation, mainly driven by international companies operating in countries that already offer mechatronics degrees ranging from high school to doctoral programs. Most of the time there are independent mechatronics programs, mainly at the community college level, but mechatronics areas of specialization were also developed under either electrical or mechanical engineering programs, through senior elective courses. In the College of Engineering and Technology at Old Dominion University there are currently well established, accredited electrical and mechanical engineering technology programs, and steps are being taken to introduce the option for mechatronics specialization. A mechatronics concentration area was already introduced under the mechanical engineering technology (MET) program with new courses developed to provide skills in mechatronics, hydraulics, and simulation of mechatronics systems, complementing the existing courses focusing on automation, industrial robotics, computer integrated manufacturing, and computer numerical control. The electrical engineering technology (EET) program, with a current curriculum that includes a large number of courses to provide the foundation for mechatronics, is taking its turn in the development of a mechatronics concentration area. This paper discusses the introduction of mechatronics specialization through concertation areas in the mechanical and electrical engineering technology programs at Old Dominion University, with emphasis on the implementation challenges. This specialization model offers students the choice to incline the balance between the electrical and mechanical components of their mechatronics education through their major and minor selection, and in consonance with their individual strengths and preferences

The Effect of Systematic Error in Forced Oscillation Testing

One of the fundamental problems in flight dynamics is the formulation of aerodynamic forces and moments acting on an aircraft in arbitrary motion. Classically, conventional stability derivatives are used for the representation of aerodynamic loads in the aircraft equations of motion. However, for modern aircraft with highly nonlinear and unsteady aerodynamic characteristics undergoing maneuvers at high angle of attack and/or angular rates the conventional stability derivative model is no longer valid. Attempts to formulate aerodynamic model equations with unsteady terms are based on several different wind tunnel techniques: for example, captive, wind tunnel single degree-of-freedom, and wind tunnel free-flying techniques. One of the most common techniques is forced oscillation testing. However, the forced oscillation testing method does not address the systematic and systematic correlation errors from the test apparatus that cause inconsistencies in the measured oscillatory stability derivatives. The primary objective of this study is to identify the possible sources and magnitude of systematic error in representative dynamic test apparatuses. Sensitivities of the longitudinal stability derivatives to systematic errors are computed, using a high fidelity simulation of a forced oscillation test rig, and assessed using both Design of Experiments and Monte Carlo methods

Institutionalizing Continuous Improvement Plan in an Engineering Technology Department- Closing the Loop

Continuous improvement is a corner stone of a quality engineering or engineering technology program. Accreditation Board of Engineering and Technology requires that a well-planned and implemented continuous improvement plan should be in place. The ABET 2015-16 Criterion 4 Continuous Improvement1 states: The program must regularly use appropriate, documented processes for assessing and evaluating the extent to which the student outcomes are being attained. The results of these evaluations must be systematically utilized as input for the continuous improvement of the program. Other available information may also be used to assist in the continuous improvement of the program. A successful continuous improvement plan that is institutionalized is self-driven and does not require external stimuli. For example, if an outcome assessment goal is not reached in an academic term, a sequence of events/actions are set in motion to address the deficiency. Evidence of existence of an institutionalized continuous improvement plan include but not limited to: A timeline of repeated activities related to the assessment and evaluation of student outcomes, agreed upon performance indicators to assess learning outcomes, systematic data collection focusing on direct evidence of student performance related to the student outcomes. Various data streams feeding into the assessment plan may include, course assessment data, senior exit survey, alumni and employer survey, internship reports and feedback from industrial advisory boards

Biological predictors of insulin resistance associated with posttraumatic stress disorder in young military veterans

•Case-control study including military veterans with PTSD and combat-exposed controls.•Increased cardiometabolic risk markers HOMA-IR, prediabetes and metabolic syndrome in PTSD.•Heart rate, serum BDNF and inflammatory cytokines predict increased HOMA-IR in PTSD. Posttraumatic stress disorder (PTSD) is associated with increased risk for Type 2 diabetes and cardiovascular disease (cardiometabolic disease), warranting research into targeted prevention strategies. In the present case–control study of 160 young (mean age 32.7 years) male military veterans, we aimed to assess whether PTSD status predicted increased markers of cardiometabolic risk in otherwise healthy individuals, and further, to explore biological pathways between PTSD and these increased markers of cardiometabolic risk. Toward these aims, we compared measures of cardiometabolic risk, namely insulin resistance (IR) (HOMA-IR), metabolic syndrome (MetS) and prediabetes, between 80 PTSD cases and 80 controls without PTSD. We then determined whether PTSD-associated increases in HOMA-IR were correlated with select biological variables from pathways previously hypothesized to link PTSD with cardiometabolic risk, including systemic inflammation (increased C-reactive protein, interleukin-6, and tumor necrosis factor α), sympathetic over-activity (increased resting heart rate), and neuroendocrine dysregulation (increased plasma cortisol or serum brain-derived neurotrophic factor (BDNF)). We found PTSD diagnosis was associated with substantially higher HOMA-IR (cases 4.3±4.3 vs controls 2.4±2.0; p0.05). Cases also had increased pro-inflammatory cytokines (p<0.01), heart rate (p<0.001), and BDNF (p<0.001), which together predicted increased HOMA-IR (adjusted R2=0.68, p<0.001). Results show PTSD diagnosis in young male military veterans without cardiometabolic disease is associated with increased IR, predicted by biological alterations previously hypothesized to link PTSD to increased cardiometabolic risk. Findings support further research into early, targeted prevention of cardiometabolic disease in individuals with PTSD

Biological predictors of insulin resistance associated with posttraumatic stress disorder in young military veterans

Posttraumatic stress disorder (PTSD) is associated with increased risk for Type 2 diabetes and cardiovascular disease (cardiometabolic disease), warranting research into targeted prevention strategies. In the present case–control study of 160 young (mean age 32.7 years) male military veterans, we aimed to assess whether PTSD status predicted increased markers of cardiometabolic risk in otherwise healthy individuals, and further, to explore biological pathways between PTSD and these increased markers of cardiometabolic risk. Toward these aims, we compared measures of cardiometabolic risk, namely insulin resistance (IR) (HOMA-IR), metabolic syndrome (MetS) and prediabetes, between 80 PTSD cases and 80 controls without PTSD. We then determined whether PTSD-associated increases in HOMA-IR were correlated with select biological variables from pathways previously hypothesized to link PTSD with cardiometabolic risk, including systemic inflammation (increased C-reactive protein, interleukin-6, and tumor necrosis factor α), sympathetic over-activity (increased resting heart rate), and neuroendocrine dysregulation (increased plasma cortisol or serum brain-derived neurotrophic factor (BDNF)). We found PTSD diagnosis was associated with substantially higher HOMA-IR (cases 4.3 ± 4.3 vs controls 2.4 ± 2.0; p 0.05). Cases also had increased pro-inflammatory cytokines (p < 0.01), heart rate (p < 0.001), and BDNF (p < 0.001), which together predicted increased HOMA-IR (adjusted R2 = 0.68, p < 0.001). Results show PTSD diagnosis in young male military veterans without cardiometabolic disease is associated with increased IR, predicted by biological alterations previously hypothesized to link PTSD to increased cardiometabolic risk. Findings support further research into early, targeted prevention of cardiometabolic disease in individuals with PTSD