c American Society for Engineering Education, 2013 Teaching Engineering Design Concepts Through A Multidisciplinary Control ProjectAbstractThis paper described the design and the implementation of a multidisciplinary project in two-sequential control courses to reinforce students’ understanding of engineering design conceptsfrom a system point of view. Such a project had two phases which corresponded to the twocourses. In the Phase I of the project, a vague problem idea was given, which required thestudents to design a (multidisciplinary) mechatronics system. The students formed in teams andcollected information to further define the project before drawing their first drafts. Multiple ideaswere
Paper ID #6902Incorporating Adult Learning Methods and Project Based Learning in Lab-oratory Metrology CoursesMrs. Georgia L Harris, NIST Program Leader in the Laboratory Metrology Group of the NIST Office of Weights and Measures with nearly 30 years experience in education and training of laboratory metrology concepts and practices. Page 23.728.1 c American Society for Engineering Education, 2013 Incorporating Adult Learning Methods and Project Based Learning in Laboratory
Page 23.798.1 c American Society for Engineering Education, 2013 Interconnecting the Mechanical Engineering Curriculum Through An Integrated Multicourse Model Rocketry ProjectAbstractConventional undergraduate mechanical engineering curricula are split into topical tracks where,from the students’ perspective, each track has limited interconnectivity or overlap with theothers. To provide students a more coherent and cohesive view, we created and are delivering amulticourse curriculum-integrated engineering project that permeates and unifies five requiredclasses within our undergraduate curriculum: 1) Freshman Design, 2) Dynamics, 3) NumericalMethods, 4) Fluid Mechanics, and 5) Thermodynamics
typically takenduring the junior year. This course is the only place in the curriculum where topics such asdesign of experiments, measurement of engineering quantities, data analysis and selection ofsensors are covered. Beginning in Fall 2011 this course underwent an extensive redesign tomove from demonstration lab experiments to hands on, open ended laboratory experienceswhich emphasized the students’ ability to design experiments, identify the variables to bemeasured, and select the best instrumentation for a given task. Previous research by one of theauthors demonstrated measureable gains in retention of course concepts and the application ofthose concepts during a ‘design your own measurement experiment’ term project. The purposeof the current
students did not engage deeply in trying to understand theconcepts, implementation methods, or the limitations of the implementation employed in thelabs.The redesigned course begins with foundational labs that build component skills such asmeasuring execution time, memory usage, and the effects of roundoff error in DSP algorithms.The later labs in the redesigned course focus on using component skills to design, implement anddebug FIR and IIR filters. The labs culminate in a final project that promotes the development ofintegration skills, as students must determine when, where, and how to apply component skillsappropriately.In addition to changes in the lab activities, the new format for each lab report now highlights itsrelation to the students
beneficial to all electricaltechnology students.Since teaching advanced DSP topics within the engineering technology program has therequirement of being at a hands-on and engineering technology level, adopting the traditionalteaching approaches and using textbooks dealing with complicated mathematics and theoriesused in the four-year engineering program may not be appropriate. Hence, in this paper, we willpresent our innovative pedagogies and experiences from teaching the subjects of advanced DSPin the engineering technology curricula.The paper is organized as follows. We will explain the course prerequisites and describe ourclass content first, and then we will introduce real-time signal processing hands-on project usinga DAQ (Data Acquisition
, engineering project manager, and senior scientist responsi- ble for failure analysis of thin films materials. She also managed collaborations with national laboratories, Air Force and Navy research groups, and universities. She invented new quality control tools and super- vised interns from local universities and community colleges as part of a $5.0 million technical workforce development initiative funded by New York State. She has published diverse articles on topics ranging from engineering education to high temperature superconductors and has spoken at many national and international conferences. Her doctorate in materials science and engineering are from the University of Wisconsin, Madison, and she has four patents
staff have developed experiments that have moved from a ‘cookbook’ approach toone in which students are presented several open-ended design projects during the semester. Themotivation to alter the pedagogical approach used in the labs was to attract and retain students inthe BSEE program by increasing student self-confidence, providing opportunities to instill self-reliance, developing deeper understanding of fundamental concepts through visually Page 23.290.2demonstrations, and supporting students as they strive to achieve technical goals. Other desiredoutcomes for all students, identified as the project evolved, were to develop better
challenge module, students complete challenge modules that explore biomechanicsof human and rodent models, and mechanical properties of tissues and biomaterials. A termexperimental design project is also included in the sophomore-level lab to help gauge how wellthe students have bridged the concepts learned in the challenge series modules. In the termproject, students work in teams to identify a medical condition that can be treated with the use ofa biomaterial. Once the medical condition and targeted biomaterials are defined students mustdesign and implement experimental protocols to demonstrate the validity of their claims. Page 23.434.7Table 1
game console from Microsoftconsisting of a 3D camera (depth sensor), color camera, and an array of microphones. Theexperiment included two tasks. The first task was to install all the necessary software andprogram the DaNI robot to perform obstacle detection and avoidance using its ultrasonic sensor.The second task was to improve the obstacle detection and avoidance capabilities of the DaNIrobot by adding another computer connected to a Kinect sensor. Working in pairs and as acollective, students were able to complete the two tasks, develop their design/programmingskills, and learn about some complexities of “real” engineering projects. In addition, they gaineda better understanding of sensors and their applications including sensor
Figure 13. Theexam consisted of questions on basic concepts, all of which were written to be of equaldifficulty. One of the questions was on the concept demonstrated by the in-class lab. Figure 1 is ascatter plot of student scores on that question versus the other questions on the exam, with thesolid line shown to indicate equal performance on the two types of questions. Most of thestudents in the class are above the solid line indicating that they performed better on the conceptquestion related to the experiment than questions on other topics. Another class had three hands-on activities (two in-class experiments and one take-home project). For this class, a conceptsinventory pre- and post-test were taken as well as student surveys of their self
in 2012), electrical signalsproduced by the simple guitar string platform were displayed with the Mobile Studio dataacquisition board, which also allowed participants to hear the sounds produced using ear budsdriven by the audio amplifier on the board. Inquisitive children of all ages were able to pluck thestring, see and hear the signal under a variety of conditions (string tightness, strength of pluck,etc.) and discuss what they experienced with their family and the college and high schoolstudents who assisted at the booth. Outreach also provides a good test of the physical robustnessof the apparatus.In an introductory Electric Circuits class for EE majors at Rensselaer Polytechnic Institute, thestudents were given a project to design a
of 10.0 while after the course an 7.7 out of 10.0Though the students seem to feel more confident of their ability to implement a digital control algorithmsuccessfully, it will be interesting to see if this methodology is carried over into the execution of their seniorcapstone projects. In addition to the numerical scoring, some students offered the following comments on thequestionnaire form: “I certainly learned how to simulate the C code within an embedded matlab function and the IMPLEMENTING within a C environment” “C code still gives me a little trouble.” “I am confident in my ability to simulate to simulate difference equations after taking this course.” “I now understand this topic better. Any weaknesses lie in my C
asagitation increases, and for low current density, ultimate strength is directly proportional toagitation and temperature. This is a direct correlation to the learning outcome of demonstratingthe ability to explain and apply fundamental mechanical properties and experimental testing,including failure.The next evidence of achieving the learning objectives includes the correlation of the predictedmechanical properties with measured values based on a limited number of experiments oravailable data. This project was devised to teach students the fundamentals of design ofexperiments for the processing of materials for characterization, and the exercise assessment wasdeemed satisfactory because of the students’ capability to predict the boundary