Higher-Order Learning Through Virtual Laboratories in Fluid Mechanics: Lessons Learned AS Ward1, MN Gooseff1, RY Toto2, SE Zappe2 1 – Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802 2 – Leonhard Center for the Enhancement of Engineering Education, The Pennsylvania State University, University Park, PA 16802AbstractStudent achievement of Bloom’s higher-order cognitive skills (analysis, evaluation, andsynthesis) is recognized as being necessary in engineering education, yet is difficult toachieve in traditional lecture formats. Laboratory components supplement traditionallectures in an effort to
Reinvigorating Microcontroller Laboratories with Experiences and Applications of Common Devices Major Christopher L. Reitsma, Dept. of EE&CS, United States Military AcademyAbstractMany non-engineering Cadets at the United States Military Academy take a sequence of coursesin Electrical Engineering as part of their requirement to earn a Bachelor’s of Science. The finalcourse in the sequence incorporates the programming of a microcontroller, including theutilization of analog and digital circuits, and implementation of robotics as part of militaryelectronic systems. Because of the limited programming experience of these students, the courseuses the BOE-Bot containing a BASIC Stamp 2 microcontroller
ControlTechnologies (CAESECT). The biodiesel experiments were designed to studycombustion of B50 and B100 fuels using different air/fuel ratio. Students monitorexhaust temperatures of combustion gases and analyze them using MATLAB andstatistical method.Introduction The engineering experimental design class was offered in industrial engineeringdepartment. In the class, the analysis of variance (ANOVA) and design ofexperiments were introduced to the students. At the end of the semester, all thestudents were required to do a project, and this project is one of the projects. Inthis project, the combustion laboratory unit C491 was used to test the canolabiodiesel, and the test results were analyzed using the analysis of variance(ANOVA) method and MATLAB
example of use. A laboratory experience will provide hands-processes that involve Chemical Engineers. After on access to two ECE laboratory exercises thatan introduction to polymers and polymerization are used in our Introduction to Engineeringwe will go to the lab and carry out a small- course. One exercise will illustrate the control ofscale reaction that will produce a polymer. a robotic arm, while the other will illustrate theCalculations will be performed on the data process of encoding and decoding digital data.collected during the experiment to quantify heatloss during this exothermic reaction
perspective—on the material andperformed in-class exercises as a class with the instructor. Finally, during the run phase, thestudents performed daily problems, homework sets and preliminary laboratories after discussionof the topics. Additionally, final assessments of learning were made with quizzes and exams.The Learning Styles survey provided the author a composite structure of the students within thecourse, while it provided the students with self-assessment of how they learn. All students,including the instructor were required to complete the survey and provide a copy to the instructorfor review.Periodically throughout the course, student feedback in the course came in three areas. First ofall, verbal and written feedback was provided on the
cultivate a mentor network, enabling CUNY graduatestudents who are only a subway ride away, to become role models for STEM undergraduates atCity Tech. The goal is to increase the number of students receiving associate and bachelor’sdegrees within science, technology, engineering and math, by conducting the following activities: 1. Development and institutionalization of two three-credit courses, one in the sciences and math, the other in engineering technologies, that emphasize academic preparation through development of laboratory techniques, communication, team work and creative thinking skills. 2. Academic year mentoring of undergraduates by teaching assistants in STEM, and block programming of the summer cohort in
development, implementation, and assessment of this team-taught course at LafayetteCollege will be discussed.IntroductionFlow visualization is a family of techniques used to reveal the details of fluid flow. Leonardo daVinci is widely recognized to be one of the first practitioners of this scientific art. He spentmany years in his makeshift laboratory and in the field observing the movements of water andair. During his research, he maintained detailed notes and drawings to record his observations. Asketch from Leonardo’s notebooks of a free water jet issuing from a square hole into a poolrepresents perhaps the world’s first use of visualization as a scientific tool to study turbulentflow.As the quintessential “Renaissance man,” Leonardo would likely
itmerits the attention of all educators of engineering because of its benefit to the instructor and thestudents.Most engineering experts would agree that engineering is a problem-solving science that must bepracticed in order become effective at solving complex problems. Undoubtedly, engineeringstudents across the country are getting plenty of practice solving problems outside the classroomin the form of homework, but for most engineering programs, the only time professors get toobserve their students solving engineering problems might be during laboratory hours or whileadvising on a design project. By observing our students, we gain invaluable feedback about theirknowledge and problem solving abilities. Therefore, why not observe our students
improve the detection of hazards due to terrain, air traffic, and runway obstacles byintegrating data from weather radar, infrared video or Light Detection and Ranging (LIDAR) with existingaircraft sensors 1. Within this project, our laboratory has focused on the use of dedicated FieldProgrammable Gate Array (FPGA) hardware for computationally intensive algorithms. When images andvideo are acquired, some manipulation and processing must occur before they are displayed. In order tomaintain real-time feedback to the pilot, dedicated hardware can be used instead of software solutions.This article evaluates a design method for a real-time processing system based on Field Programmable GateArray (FPGA) and Digital Signal Processing (DSP) structure. To
® tape, scalpel, 65°C oven, glass slides, commercial uncuredsilicone—poly(dimethylsiloxane) or PDMS1,—and polystyrene Petri dishes). We believe thatthis technique will circumvent the limited access to cleanroom facilities that most high schooland colleges have and provide them with a fabrication technique that students can use in standardteaching laboratories. As a demonstrator of the method, we present the fabrication of amicrofluidic device consisting of three individually-addressable microchannels.Microfluidic devices have at least one of their dimensions (height, width, and/or length) smallerthan 1 mm. As a result, flow in microfluidic devices is governed by viscous and capillaryforces2-3. Low Reynolds numbers (corresponding to the
team-based senior design course as part of a two-course capstonesenior design sequence. The move from independent design to a team-baseddesign was done ten years ago, in large part, due to ABET requirements. Theintroduction of a requirements-driven methodology is consistent with industrypractice and serves to focus decision making during the system architecture anddetailed design phases of the project. The complexity of the project waspurposely scoped to be “broad” rather than “deep” to ensure a capstoneexperience that incorporates software and analog and digital hardware.Teaching a course of this nature is challenging and is very different from teachinga traditional course and/or laboratory. The instructors must select an applicationthat is