theymay reconstruct classroom demonstrations, and do much more.In the demonstrations, frequency-response plots, pole/zero maps, and time-domain responseplots in both domains are easily created and modified, and are programmatically linked. Theplots are also annotated in a variety of ways to help emphasize relationships among them. All ofthe plots have interactive capability, and display much more information than simple line graphs.Making changes in any of the plots automatically causes appropriate changes to be made in allthe other plots. This removes from the instructor the burden of creating, managing, and updatinginterrelated plots.This method can be used, for example, to enhance discussions of (1) zero-order-hold and bilineartransformations
discusses the student populations onwhich the project has been tried and the course contexts in which it was given. Finally, the paperlooks at the student response to the project and the creativity of their submissions.1. IntroductionMany students have difficulty when encountering computer organization for the first time. Thisis due partly to the unfamiliarity of the material, but is also because computer architecture as adiscipline is different from the fields that students encountered earlier. Unlike calculus,computer design has little underlying theoretical foundation. Instead, from its beginnings,computer design has always been a process of trial and error, with modern computers beingdesigned the way they are because “it works best”, rather
notes on coursehandouts. The other three courses each had fewer than 10 students, and thus lent themselvesreadily to testing and use of Tablet PCs by both the instructors and the students. A studentfeedback survey, shown in Figure 1, was administered in each of these three courses and isdiscussed in later sections. TABLET PC USE SURVEY Identify positive aspects of using the Tablet PC. Did you identify any advantages over taking notes using pen and paper? Identify negative aspects of using the Tablet PC. Did you identify any disadvantages over taking notes using pen and paper? Does using a Tablet PC help or hinder your ability to learn the material or follow in class? How
steps are listed below: Step #1 – Determine the selection criteria Step #2 – Determine the criteria weightings Step #3 – Identify and rate alternatives Step #4 – Compute Scores for the alternatives Step #5 – Review the decisionThe Criteria:The first step in the process was to determine the criteria for the boards. On the surface,this sounds like a simply step, but in reality, it was not. Significant time and effort wasput into the determination of the criteria. There are multiple courses that can benefit fromthis decision, so all of them needed to be represented. In the end, the follow criteria wereestablished for making the decision: Table 1 – Criteria Serviceability
Unisyllabus campus-wide and to makeit available to other institutions. Higher education institutions face problems similar to those ofany other enterprise. These have to do with adopting information technology to make processesmore efficient, and extracting business intelligence that will help make strategic decisions. TheUnisyllabus application is an example of an application that begins to address some of theseissues.Bibliography[1] Accreditation Board for Engineering and Technology, see section “Criterion 5 Curriculum” for syllabirequirements. Available Online: http://www.abet.org/Linked%20Documents-UPDATE/Program%20Docs/T003%20Self-Study%20Questionnaire%206-28-07.doc[2] Consejo de Educacion Superior de Puerto Rico (Puerto Rico Council on Higher
development methodology. Several examples wereused to demonstrate this methodology. One of the examples that we used is “generationof a three-tone siren with frequencies equal 250 Hz, 500 Hz, and 1 kHz, and each tonelasts for half of a second”. Page 13.588.4 3The top-down design with hierarchical refinement approach will go through this problemseveral iterations:The first iteration may go like this:Repeat 1. Generate the 250-Hz tone for half a second. 2. Generate the 500-Hz tone for half a second. 3. Generate the 1-kHz tone for half a second.ForeverThe second iteration deals with the generation of each
, optimum markup estimation,simulation, and optimization of construction operations. Since the core of any informationsystem is the storage of the data and information for management operations, databasecapabilities in spreadsheet programs can be used as an effective tool to develop complex datamanagement system for construction information. Few basic, but infrequently used, spreadsheetfeatures need to be known and can be used to develop practical and powerful models forconstruction applications: (1) data lists; (2) data menu options; (3) basic spreadsheet functionsuwej"cu"ÒÒvnqqmwrÓÓ="cpf"*6+"rkxqv"vcdng reports.Excel can also be used in linear programming, where the solver is used, and where thespreadsheet's graphing capabilities are used both to
Page 13.611.2been proposed by several researchers(1,2) to represent the behavior of displacement componentsinside each element. Because of the assumptions made about these functions, the accuracy of theanswer increases as the element size decreases. For this investigation, the displacement functionsinside each element were approximated by the following:u(r,z) = b1 + b2tÓ"-"d3|Ó"-"d4tÓ|Ó""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""(1)v(r,z) = b5 + b6tÓ"-"d7|Ó"-"d8tÓ|Ó (2)yjgtg" hqt" gcej" gngogpv" vjg" nqecn" eqqtfkpcvg" u{uvgo" tÓ.|Ó" ycu" wugf." yjkej" jcu" kvu" qtkikp" cv" vjg"center of each element.Global
spreadsheet use. To aidapplication, the authors have implemented bootstrap and permutation routines inExcel, Mathcad, MATLAB, and R.Example 1: Confidence Interval for the Mean and StandardDeviationThis example comes from a Junior-level Civil and Architectural Engineeringexperimental laboratory course. The students collected 10 hardness readings3 andwere asked to compute the mean, mode, median, standard deviation, 95%confidence interval for the mean, and a 95% confidence interval for the standarddeviation of the data. A typical set of readings is shown in Table 1.Table 1. Rockwell hardness readings (HRB).91 93 93 93 93 93 94 94 93 94The students constructed the 95% confidence interval of the mean and
such as originalbook references or hand-written listings. Figure 1. Learning Metadata: characteristics of a resourceDescriptions can become very large if a certain range of attributes is not selected. For thispurpose, LOM contains nine main categories. We will give more importance to its educationalfeatures, but remaining aspects must be fulfilled too. DIEEC (Electrical, Electronic and ControlEngineering Department) has compiled a large number of exercises from various subjects:analog systems, circuit theory, etc. They are a really helpful complement to laboratory sessions,as students can understand physical models of components without any risk. These digitalmaterials were disseminated through text books or instructional CD
andubiquitous learning that are challenging our Learning Space with a new set of services that areimproving learning capabilities. This evolution emphasizes personalization and user closeness,and is based on learning by services. The new learning concept (s-learning) continues with thephilosophy of re-usable educative objects to create encapsulated and re-usable educationalservices to be easily integrated in Learning Management Systems. In broad terms, this new e-learning philosophy is described through several examples of advanced services that can beintegrated into a Learning Management System.IntroductionSince the declaration of Bologna (1999)1 Higher Education has been profoundly modified. Theintroduction of new technologies has also changed the
, and the Measurement Systems Laboratory.These three courses were chosen because the existing material supports the microcontrollertopics to be added. They are also taught by the author, which simplifies changing the curriculuminitially. Table 1 shows the course titles, microcontroller topics added, and the semester studentstraditionally take the course.Table 1: Courses and Topics Semester Course Topics Fall Sophomore Computer Programming (MATLAB) Introduction to C Spring Sophomore Circuits Lab Peripherals and hardware Fall Junior Measurement Systems Lab DAQ ApplicationThe computer programming class focuses on
) were made. Betweenobservations, instructors guided the students and answered their questions as they workedthrough the problems. The problems that students were assigned in this study pertained toenergy efficiency. Assignments were graded using a rubric based on formatting (proper header,neatness, etc), appropriate problem-solving strategies, proper use of equations, variables andunits, and correctness. Grades on these assignments were compared for the students working onpaper and on Tablet PCs.A 40-item motivation and attitude survey7 was administered to the students after theexperimental class sessions. This survey measures four aspects of motivation: 1. Value of being an engineering student 2. Value of becoming an engineer 3
gives the final call to “REJOICE!” and enjoythe multiple benefits of participating in the program. Page 14.62.5 Figure 1.2 –Poster Design 1/3 released March 2008 Figure 1.3 –Poster Design 2/3 released May 2008 Page 14.62.6 Figure 1.4 – Poster Design 3/3 released August 2008In addition to the printed pieces for static display on walls, a cyber strategy was implemented toaid in the promotion and presentation of information regarding the program. A departmentalspecific domain name was created from which to host a
which are too complexto calculate or too expensive to be reproduced in a laboratory, or are simply notaccessible to the senses. The successful use of computer algebra systems does not implythat mathematical skills are no longer at a premium: such skills are important as ever.However, computer algebra systems may remove the need for those poorly understoodmathematical techniques which are practiced and taught simply because they serve asuseful tools. The usefulness of this approach will be evaluated by direct observation andformative assessment, and feedback from other educators will be highly appreciated.1. IntroductionEngineering electromagnetics is considered one of the most difficult courses and mostabstract and conceptually difficult areas
combination with a digital down converter (DDC) based data recorder to capture and record real world radio signals. The resulting in-phase (I) and quadrature (Q) data files are then imported into M ATLAB for processing. This batch processing of real world radio signals allows for a tremendous amount of classroom flexibility in the discussion of software defined radio topics.1 IntroductionThere is a great deal of interest in the DSP algorithms necessary to demodulate communicationssignals. While a number of existing courses cover these topics, the use of real world communi-cations signals to develop and test these algorithms can be problematic. For many universities,the largest challenge in working with real world signals is the
challenging economic times, it is somewhat reassuring to know that some unstable financial accounts are actually a good thing!1 INTRODUCTIONIt is widely known that even in the classroom “first impressions” are long lasting. Given thisfact, we believe that the first impressions that our students develop related to either discrete-timesignals and systems (DTSS) or digital signal processing (DSP) should be both memorable andinspirational. Pedagogically, it also makes considerable sense during a topic’s introduction togive a complete overview of that material before continuing on into the details. This approach toteaching has wide ranging consequences. Specifically it can, • Create a framework upon which the course is based • Encourage
communication, coordination and cooperation as nowadays’important factors in education, collaborative software applications possess a high potential tosupport the learning, teaching and research processes at university by the means of the newmedia and new technologies4, 5. As a part of the GALILEA project, introduced at the TechnischeUniversität Berlin, the new gender sensitive Bachelor of Science program “Natural Sciences inthe Information Society”6, 7, 8 provides two new innovative lectures, which started in winter term07/08 and summer term 2008, respectively: 1. Scientific Information Management (freshmen lecture) and 2. New Media in Education and Research (sophomore lecture)This innovative program is designed to be very interdisciplinary while
course lab setting.Lab StationThe lab station on which this bit-mapped graphics display is based has been described in earlierASEE papers1,2. It consists of a Wytec Dragon development board for the Freescale S12microcontroller3,4, plus some additional hardware and software to implement an alphanumericmatrix keyboard input device and interface to a standard low-cost CRT monochrome display foroutput. As described in those earlier papers, the CRT display was used originally just to providecharacter output for display of alphanumeric characters. Figure 1 shows a typical displayproduced by the CRT output in the original lab station design. Page
,engineering education needs to be drastically altered to give studentsopportunities to work in international research teams 1, 3, 4, 6. 7. Page 14.409.2Engineering educators should introduce interdisciplinary learning in the curriculum whereverpossible and explore the use of case studies of engineering successes and failures as a learningtool 2. These findings lead to the premise upon which this paper is based: New challenges andopportunities are emerging due to the emergence of global R&D teams and future engineers mustbe given opportunities to learn how to perform effectively in this market. Figure 1: Sample LITEE case study listingThe
toaddress computational problem-solving that is aligned with industry needs. This approach Page 14.848.3somewhat mirrors the process by which ABET accomplished a reformed evaluation criteriabased on customer focus, continuous program improvement, and outcomes in student learning1.We are developing a dynamic process that documents every step of the research from engagingthe different stakeholders to implementing the process for curricular reform.Project ImplementationCPACE is based on the ‘Transformation Model’ depicted in Figure 1. This model envisions acyclic process with feedback among the five major nodes
focuses on a qualitative analysis of articles in the engineering educationliterature drawn from The Journal of Engineering Education spanning the past 10 years. Fourbroad criteria guided the selection and analyses of the articles: (1) Content: What major types of content for cyberlearning environments are being created focused particularly on engineering education? For example, the NSF identifies various categories of content for cyberlearning environments such as interactive online courses, intelligent tutors, virtual and remote laboratories, and serious games. (2) Pedagogy: How are these cyberlearning environments being incorporated in the classroom to promote learning? For example, several educators have reported
wireless3 Reliability 10 Upgrade options4 Maintenance availability 11 1 vs. 2 SIMM memory5 Pricing 12 Ease of purchase6 Video card/memory 13 Vendor market share7 Weight 14 Killer featureVendor samples were evaluated over a period of three months. A number of vendor technicalbriefings related to the procurement were held where we discussed the company’s commitmentto our program, the type of technical support that could be expected, and other details thatensured us of a sound relationship with the vendor. Fujitsu Computers Inc
educationalexperience of the students is evaluated.System LayoutFigure 1 shows the overall design of the positioning system. Wii remotes collect informationabout the position of high-intensity infrared LED beacons affixed nine inches above the coursesurface on student-built robots. This information is transmitted over Bluetooth to a C applicationrunning on a Linux machine, where it is gathered and sent to a Microsoft Visual C# library. TheC# library interprets LED locations as robots and converts pixels from the Wii remote image toinches in a global coordinate system. A National Instruments LabVIEW application interactswith the C# library and transmits location and orientation information to the student-built robotsover a radio frequency network.In total
asked students to describe characteristics of team learningenvironments that would be most productive and supportive. A second part of the pre-semestersurvey aimed to help students to identify mastery project topics. In 2006-2007, each RSTstudent was expected to become the team’s expert in that topic.The survey presented twelve topics related to the team’s current projects. Students rated eachtopic according to four criteria: (1) importance to personal goals; (2) importance to RST projects; Page 14.864.3(3) level of confidence in the skill area; and (4) the student’s priority for this skill area based onhis/her individual interest and
course dedicated to these increasingly important topics.1 IntroductionThe many-core revolution currently underway in the design of processing architecturesnecessitates an early introduction to parallel computing. Commodity desktop systems with twocores per physical processor are now common, and the current processor roadmap for majormanufacturers indicates a rapid progression toward systems with four, eight, or even 16 cores.At the same time, programmable graphics processing units (GPUs) have evolved from fixed-function pipelines implementing the z-buffer rendering algorithm to programmable, highlyparallel machines that can be used to solve a wide range of problems. Together, thesedevelopments require that students possess an in-depth
students who are intrinsically motivated to learn, who like technology inthe classroom, who like delivered notes (or at least faculty-provided notes), and who are activelearners are more apt to be satisfied with active-learning software.1. IntroductionFor the past two years, we have studied student and faculty satisfaction with educationaltechnology we regularly use in the classroom: the Tablet PC and active-learning software, suchas DyKnow and Classroom Presenter. These studies are based on user surveys over a largenumber of courses given at our comprehensive college, ranging from science and engineering tothe humanities. Since our students receive a Tablet PC and software when they enter the college,they use the Tablet PC as their primary and
anexcellent choice for senior projects. Senior CS students have enough programming experience tohandle the software development; EE seniors have sufficient knowledge to understand the basics ofradio, signal processing, and circuit design. The integration of a complex hardware and softwaresystem provides an excellent educational experience. In this paper, we describe the senior projectcourses, the pedagogical goals, and how it supports our ABET course outcomes.1. IntroductionSoftware-defined radio (SDR) is an important technology that underlies many modern wirelesscommunications systems for both telephony and data communications. With the availability ofcheap high-speed computing platforms, inexpensive electronics, and good software
contribute money to purchase computers, while very few contributefunding to develop the infrastructure and skilled professionals that are essential to the success ofany technology deployment, regardless of location. This is a substantial problem whenconsidering that research shows the initial costs of computer deployments in developingcountries consists of only 25-33% of the Total Cost of Ownership over the course of a five yearperiod.[1] To address this problem, student organizations at the University of Wisconsin-Madisonand Skidmore College in New York have formed a collaborative relationship that also includesParaguay Educa, an NGO coordinating the country-wide XO deployment in Paraguay. Thiscollaboration was formed to help provide the
in the developmentof concepts and skills (referred to as COST).The analysis was designed to consider the following questions.1. What is the student performance in the quantitative course by format?2. What is the student performance in the qualitative course by format?3. For each course, does performance differ based on WEB or LEC formats – overall and within a specific format?4. Does performance differ relative to individual assessment items and or types of assessment items?Performance was measured using a set of course examination items. For each of the two courses, Page 14.924.4a set of 10 objective (multiple-choice) test items