, each with different entrance geometry. The problem, illustrated in Figure 1, iscommonly found in undergraduate fluid mechanics textbooks, and the experiment itself isloosely based on the pioneering work of Osborne Reynolds4. Reynolds used a similar apparatusto examine the structure of laminar and turbulent pipe flows. The analysis of this experiment afairly straightforward application of pipe flow theory, except that in addition to predicting themass flow rate of the water, students are directed to predict how accurately their model willcompare with experimental data. Predicting the accuracy of their model, as well as the accuracyof the measurements, requires uncertainty analysis. The results of uncertainty analysis are usedto identify the
of “wake-up word”recognition technology. This tool thus has made research process much more efficient, accurate,and productive.IntroductionThe primary objective of presented work was to develop a speech recognition engine - analysisand testing environment in MATLAB. The problem encountered when working with speechrecognition projects is the fact that the processed data comes in the form of a large collection ofvectors (e.g., matrix) that typically represent energies of a speech sounds at various frequencybands [1]. Developed testing utility is extremely useful because it provides visual representationof various complex parameters represented as patters, vectors or scalars extracted from time-dependent speech signal. In addition, there are
courses Figure 1: RHIT undergraduate high-speed design program foundationsBackground and Present StatusAt Rose-Hulman, the need to better prepare our students became apparent five years ago in anelective high-speed design course, which was taken primarily by our computer engineering(CPE) students and which has been offered at Rose-Hulman since 1999. A current topic listingfor the high-speed design course is given in Table 1. Table 1: Topics for elective high-speed design course for computer engineers Week Topics Lab / Demo 1 Trends and issues in Driver and receiver, Skew, jitter, high-speed design
CREATE’s successes, established objectives,activities, outcomes and timelines designed to target the seven chief areas of need or goals that theCREATE project identified. The CREATE Center’s objectives along with the highlights of theCenter’s accomplishments during its first three years of operation are listed below.Objective 1: Increase pools of trained teachers for both Information Technology andManufacturing TechnologyAn award-winning training program (Hesburgh Certificate of Excellence) at College of theCanyons, with over fifteen years of past success in educating part-time academic faculty hasbeen adapted to a model to train part-time teachers who come from industry or who have onlytechnical skills without teaching backgrounds to be
is that moving to remote and virtual access to laboratoryhardware leads to significant changes in the learning outcomes of the students whoexperience this laboratory. In the face of such changes, these alternative access modes mustbe considered pedagogical alternatives, rather than simply logistical conveniences.IntroductionLaboratory classes are a key element in undergraduate engineering teaching. They serve anumber of valuable roles, such as validating analytical concepts, and providing exposure toprofessional practice 1. One of the drawbacks of laboratory classes is that they are expensive,in terms of both time and money. Another drawback is the significant logistical challenge ofscheduling access to hardware for potentially large groups
underdevelopment at East Carolina University [1]. The NCEES (National Council ofExaminers for Engineering and Surveying) has clearly defined content areas that general Page 11.861.2engineering students must master in the “electricity and magnetism” area [2]: themorning session of the FE (Fundamentals of Engineering) exam covers basic conceptsincluding charge, direct and alternating current circuit analysis, and complex algebra; theafternoon session further requires electric machines (motors and generators), electricalinstrumentation, and measurement systems, which in turn requires some coverage ofoperational amplifiers and digital logic. It is quite challenging to
2006-617: ADVANCED MECHATRONICS: DEVELOPMENT OF A COURSE ONSENSORS & ACTUATORS FOR MECHATRONIC SYSTEMSMohan Krishnan, University of Detroit Mercy Mohan Krishnan is a Professor of Electrical & Computer Engineering at the University of Detroit Mercy. His area of expertise is in applications of Digital Signal Processing, including Pattern Recognition problems involving both 1-D and 2-D signals such as signature verification and identification of shape contours of objects; problems involving the use of Computational Intelligence techniques such as Fuzzy Logic and Neural Networks in intelligent control and autonomous vehicle navigation; modeling of mechatronic systems; and engineering education. He
,perform an experiment and collect data, and never have to leave the dorm room. This wasfacilitated by software products, such as LabVIEW from National Instruments, which providednew graphical capabilities allowing a user to duplicate the appearance and function of a piece ofexperimental hardware in the graphical user interface (GUI). Page 11.113.3The confluence of these three areas gave instructors 1) the ability to numerically model complexsystems realistically, 2) the ability to create interfaces which “felt” real, and 3) the freedom to trynew approaches at meeting experimental objectives. The resulting pedagogical approach can bereferred to as
to real-time data measurements. Theinstruments used are temperature sensors, pressure gauges and low friction piston/cylinderdevice. The workshop objective is to allow students to familiarize themselves with thecomputerized data acquisition system. They also learn about gauge and absolute pressureusing a low friction piston/cylinder device. Page 11.155.3In the second workshop, transfer of mechanical energy to heat is explored; see Fig 1. Theset-up is a classic experiment where electrical energy (provided by a hand-crankedgenerator) is converted to thermal energy in a container of water; see Fig 2. Theequipment includes a 10-Ohm heating resistor
greater depth as aresult of the project.Problem & Approach TakenMany times students do not clearly understand the need for basic STEM (Science, Technology,Engineering, Mathematics) material. Courses in the early part of their educational experiencepresent the necessary prerequisite material for upper level courses. However, the students neverrealize the importance of this material since it is taught without any real-world, practicalapplication. Thus, the student has no initiative to retain the material and try to integrate it intotheir knowledge database. The cartoon in Figure 1 is a common theme heard time and timeagain by just about every professor in regards to STEM material
focused on EET andCET programs. The electronics discipline is an attractive choice because relatively lowcost components, devices, tools and measurement instrumentation are available. Theauthors investigated the available technology and hardware capable of providing a Page 11.638.2combination of “hands-on”, remote-controlled and/or virtual experiments.[1-9] In thispaper, we analyze the laboratory component in depth and propose a solution.Our premise is that the reason there are no purely distance EET or CET programs isbecause no one has developed a pedagogically effective solution to the laboratorycomponent of the curriculum. The laboratory component
engineering consultants HatchMott MacDonald.1 “When you can look at a truck, which weighs about 60,000 kg fully loaded,then those numbers start to make more sense to you. That’s the kind of practical thing you don’tlearn in a book,” he says.Traditionally, strength of materials labs typically include tensile testing of metal samples. This isnormally achieved through the use of an automated tensile testing machine with data acquisitionsystem (hardware and software). Examples would include Tinus Olson2 and Instron3 tensiletesting systems. Even though students may be allowed to load the part into the fixture manually,however, during the pulling process, students are mostly standing there watching. This is simplybecause it is impossible for humans to pull
classroom to explore abasic concept within a lecture-based course, ones that can be used as do-it-yourself projects toteach skills in a campus makerspace environment, and ones that can be used as multi-weekexperiments in a laboratory course. A sample project is given for each category.1.0 IntroductionHands On Learning (HOL) is an excellent way to engage and motivate students and to enhancelearning of difficult concepts. In engineering education, hands-on learning has traditionallyinvolved instructional labs or studio classes, which are focused on these types of activities.Recently, however, people have started to advocate for the distributed use of mobile, hands-onlearning experiments that can be done by students in non-traditional settings [1-3
test boards. Instead, students construct their ownbreadboard-based circuits for each lab. Students purchase a lab kit at the beginning of the term,which includes all of the necessary components for the labs including the 8-bit Microchip PIC16microcontroller. An overview of the topics covered throughout the course are provided in Table1. The course begins with an introduction to the instruction set architecture (ISA) and assemblyprogramming. The first three labs are therefore completed using assembly language. Theremaining labs are implemented with the C programming language, which is introduced in weekthree. An overview of the course labs is shown in Table 2. Table 1. Outline of course. Week Topics
listeningcharacteristic of traditional lectures. The disparity in these experiences is one of many reasonsthat several undergraduate engineering subjects are taught with both lecture and lab sessions inparallel. At the University of Delaware, Vibrations and Controls is a junior level class inmechanical engineering that has a 3 credit lecture and 1 credit lab that are co-requisites, but arenot required to be taken in the same semester. This offers a unique opportunity to analyze studentperformance for the three distinct groups of students enrolled in lab only, lecture only, andlecture plus lab. We hypothesized that students in the lecture plus lab group would have highergrades in the lecture course than the students enrolled only in the lecture. Our results
revision process greatly increased student engagement in the classand, as a result, increased student learning effectiveness.I. Introduction Laboratories have long been recognized as excellent tools for allowing students toobserve, discover and test new concepts. It is thus important for engineering schools to integrateinstructional laboratories as part of their undergraduate curriculums. However, good laboratoryinstruction must meet a broad range of objectives that include the capability to conductexperiments, to learn new subject matters, and to solve real world problems 1, 2. Designing anddelivering effective laboratory instruction remains a challenging endeavor for many engineeringfaculty. Since most laboratory instructions are
is strong interest in maritime engineering and marine science, such as the CSUM.Although testing could be carried out in the adjoining Carquinez Strait or San Pablo Bay, there isa need for a controlled test environment for educational and testing purposes. This would allowstudents in courses such as Naval Architecture and Marine Science to have an experimental setupwhere they could visualize and measure the effects of low velocity water flows on their field ofstudy.Instructors have demonstrated the clear value of supplementing fluid mechanics theory with flowvisualization. For example, Crimaldi et al. [1] examined the correlation between student learningand student demonstrations of planar laser induced fluorescence for turbulent flow
, including Engineering Master’s programs,nowhere does there exist an ABET-accredited undergraduate mechanical engineering programtaught exclusively on-line. [1] To understand why, a quote from the Online Engineering Webportal at North Carolina State University (NCSU) is instructive. It states that “because manyundergraduate engineering classes have laboratory requirements, [NCSU does] not offer anundergraduate online degree in engineering.” [2] While the University of North Dakota claims tooffer an online mechanical engineering B.S. degree, it nonetheless still requires remote learners totravel to campus to complete laboratory activities in dedicated college-affiliated brick-and-mortarfacilities. [3] We believe insistence that undergraduate
supporting teacherengagement.IntroductionLaboratories have long been recognised as important educational tools in the teaching of thesciences. They allow students to explore real-world phenomena using controlled andsimplified versions of reality designed to highlight some physical behaviour (such as gravity)while removing distracting behaviours. The nature of laboratories and their pedagogy haschanged little over the hundreds of years they have been used 1–3. However, there is growinginterest and research into new types of laboratories such as simulations and remotelaboratories and a recent (possibly consequent) focus on the pedagogy and learning outcomesof laboratory-based learning 4–6.The Advancing Science by Enhancing Learning in the Laboratory
two areas: (1) one chat session is for addressing studentquestions on the multimedia content, readings, and homework problems; and (2) the other chatsession is to address lab questions, observe their conduct during the labs remotely, and guidethem to the troubleshooting process.If the College of Engineering can effectively deliver the lab content from this first course to meetstudent outcomes, then the engineering faculty can expect the development of future electricalengineering courses involving lab activities to go much smoother.As mentioned earlier, the full-time engineering faculty have a combined teaching experience ofover 60 years but no experience in developing and delivering a complete engineering coursefully online. Because the
theory of cognitive load, inparticular, managing the cognitive load so that the ratio of germane cognitive load to extraneousand inherent cognitive load was maximized (Smith and Kosslyn, 2006). This involved severalefforts: 1. Pairing down the number of tasks in each laboratory session, keeping only those withhighest value, 2. Developing new formats for deliverables that emphasized higher levels ofknowledge, 3. Structuring topics into two-week blocks. The latter point is highly important sinceit decreases the number of new topics that are introduced, but it also allows students theopportunity to think more deeply about the subject matter before moving on to dissimilar topics.The depth of exposure is highly correlated with the students’ ability
based on best practices, engineering education research, and therecommendations of national reports such as "Educating the Engineer of 2020,"1 among others.Campbell University has taken advantage of this opportunity by adapting Louisiana Tech’sclasslab concept (integrating class and lab facilities at scale) and large portions of theirinnovative, NSF-funded LivingWithTheLab (LWTL) curriculum1,2,3.The LWTL curriculum employs hands-on, project-based instruction for a common, required two-semester first-year engineering design sequence and demands availability of classroomsfeaturing equipment often restricted from wide student use by availability and safety concerns.Campbell University, in its efforts to understand and adapt the LWTL concept
difficultto creatively apply to practical engineering problems. Felder and Brent confirm this intuitionwith several studies that show students need repetitive practice with consistent feedback todevelop new skills (1). Simply showing students how to solve a particular problem doesn’tguarantee they can apply these concepts on their own. With these ideas in mind, the lab morphedfrom a traditional recitation to weekly programming challenges solved in a group setting. Thelaboratory and lecture now focus on the C++ and MATLAB languages with plans to alsoincorporate Python in future semesters. This paper details the changes to the laboratory portion of the course to use problem-based learning (PBL) and just-in-time teaching (JiTT) in a collaborative
teams of 2 students per lab. Lab partnersare randomly assigned for each lab. Labs must be completed and submitted by the end of class.Lab reports are submitted via Blackboard (Bb). Students use a generic template to completeeach written lab report. A list of materials and equipment and a set of objectives (which includeat least one hypothesis) is provided. Students are instructed on how to use the equipment prior tothe lab. The objective is for the students to design their own experiments within the givenconstraints based on a problem-solving approach2. These constraints are as follows: (1) Studentsmust utilize the supplied lab equipment and materials issued by the instructor. (2) Labexperiments must be designed and completed within the class
module. A more completedescription of the hardware is provided elsewhere16,17. The three humanoid robots built byengineering students are shown in Figure 1. Figure 1. Three Robotis Premium Humanoid Robots Built by Engineering StudentsSoftware - Robotis IDEAn integrated development Environment (IDE) RoboPlus software is included with each robotickit. It is also available for download from the company’s website. The software installation ofversion 2.0 creates four desktop icons (Robo+ Launcher, Robo+ Motion, Robo+ Task, andRobo+ Manager) allowing users to run multiple instances of these programs. Robo+ Launcher isa graphical user interface (GUI) for the other three programs. Software details and idiosyncrasiesof this IDE are explained in the
enhancement includestwo facets: 1. Modernize and improve the technical skills acquired by students in the laboratory courses. 2. Thoughtfully incorporate developmental skills (soft skills like teamwork and communication) that are important for engineers.The project uses evidence based instructional methods with an emphasis on backward design.The pedagogical methods are used to create new laboratory modules that use specific learningobjectives with open-ended laboratory methods to create experiences where each student "cookswithout a recipe." Prior work by the research team describes a successful experiment thatscaffolds a low-cost experimental module through the entire mechanical engineering curriculumand provides additional
actively keep a vehicle in lane.Table 1. The Society of Automotive Engineers (SAE) defines six levels for vehicle automation2: Automation Level Description Level 0 The driver is in complete and sole control of the vehicle and all No Automation driving related tasks – steering, acceleration/deceleration, monitoring the driving environment, and driving tactics (responding to events, when to change lanes, turn, use signals, etc.) – at all times. Level 1 The driver receives assistance in the form of steering or Driver Assistance acceleration/deceleration, but still monitors the driving
approach were not mandatory, one of our mainresearch questions centered on whether the students were in fact using them and whether theyviewed the progress reports as stepping-stones. Individual student interviews were thereforeconducted to assess students’ use of and perspectives towards the progress reports and build-as-you-go approach. The assessment analyst talked with individual students during scheduled classmeetings between October and November in the semester. Approximately 30% of the enrolledstudents were interviewed. The following questions in Table 1 were posed to the students: Table 1: Student Interview Questions 1 Do you feel you are using the progress reports as a stepping-stone
small 7" monitor to dis-play the results in real time to the user. An Arduino board is used for data acquisition from theencoder and load cell, and this is connected to a Raspberry Pi computer, which is in turn con-nected to the monitor. A wireless keyboard with an integrated track pad was used to interfacewith the machine, whose output is shown on the small 7" monitor.1 Pedagogical ContextThe field of materials science is focused on connecting the concepts of structure, processing,and properties of materials. Materials science textbooks [4] often begin with the topic of struc-ture, then move on to properties and processing. Many students have difficulty seeing the im-portance of studying structure, even though the structure of materials
features of CAD packages allowthese molds to modelled and then exported to rapid prototype machines. These molds do notpossess the structure of metal molds but are sufficient for casting silicone parts. This processallows for fast feedback on design functionality while minimizing cost and tooling productiontime.Required Materials:The following materials where used for the casting process: 1. 3-D extrusion printer, MakerBot Replicator 2 2. 1.75mm MakerBot PLA filament 3. SolidWorks 2014, Educational Edition a. Mold Tools Add-In 4. DAP 100% silicone caulk 5. Argo 100% Corn Starch 6. Rubber Bands 7. Balance 8. Mixing plate and utensils 9. PAM no-stick cooking spray 10. Dawn dish soapProcess:The process of casting prototype