our approach. As we will see,there are some similarities between the POCAT-approach and the idea of concept inventories 18,8,10 . For the second group of outcomes, the approach we adopted was to introduce a carefully de-signed set of activities in our capstone design course(s) and in the required course on social andethical issues in computing. These activities were directly related to the various items of knowl-edge and skills in the various outcomes of this group. These activities are assessed by a carefullydesigned set of rubrics. These activities and assessments are somewhat similar to approachesadopted by many other engineering programs (see, for example, 14,20 ). Because of this, we will notconsider these outcomes further in this
evaluationof new learning spaces”. The PST model facilitates the design of an ALC by structuring theprocess into distinct dimensions and stages, and offering guiding questions for each stage. Thedimensions are pedagogy, space, and technology, and the relevant stages are design andoperation. For instance, a guiding question for the classroom design stage is "what is the overallfocus (of the space) and what type(s) of learning and teaching are we trying to foster (in thisspace)?"3 ContextThis pilot study was conducted at a large teaching-focused tertiary institution in Norway, whichhas a long history of engineering education. The institution currently offers eight differentbachelor’s level programs in engineering and four master’s level programs in
-Based Design Courses,” International Journal of Engineering Education, Vol. 23, No. 1, pp, 114-119, 2007.2. Gorman, M. E., Johnson, V. S., Ben-Arieh, D. Bhattacharyya, S., Eberhart, S., Glower, J., et al., “Transforming the Engineering Curriculum: Lessons Learned from a summer at Boeing,” Journal of Engineering Education, Vol. 90, No. 1, pp, 143-149, 2001.3. Nicolai, L. M., “Viewpoint: an Industry View of Engineering Design Education,” International Journal of Engineering Education, Vol. 14, No. 1, pp. 7-13, 1998.4. NetPRL webpage at http://www.netprl.calpoly.edu/.5. ABET 2000 Criteria for Accrediting Engineering Programs, Accreditation Board for Engineering and Technology, Baltimore, MD, http://www.abet.org/.6. Slivovsky, L. A
easy-to-use authoring tools to create such labs. Dr. Cherner holds an MS in Experimental Physics, and Ph.D. in Physics and Materials Science. He published over 80 papers in national and international journals and made dozens presentations at various national and international conferences and workshops. Dr. Cherner has served as a Principal Investigator for several government-funded educational projects.Ahmed Khan, DeVry University AHMED S. KHAN, Ph.D., is a senior Professor in the EET dept. at DeVry University, Addison, Illinois. He received his M.Sc (applied physics) from University of Karachi, an MSEE from Michigan Technological University, an MBA from Keller Graduate School of Management., and
. toolsthat are now cheap and prevalent. Page 14.713.11References:1 Sims R.R., Sims S. J., “The importance of Learning Styles, Understanding the Implications for learning”, Course design, and Education, ISBN 0-313-29278-7, 1995, Greenwood Press.2 Felder R.M., Silverman L.K., Learning and Teaching Styles in Engineering Education, Engineering Education, 78(7), 674-681, 1988.3 R.S. Dunn R.S., S.A. Griggs, Multiculturalism and Learning Style: Teaching and Counseling Adolescents, Westport, CT: Praeger, 1995.4 Reid G., Learning Styles and Inclusion, 2005.5 R.A. Rochford, “Assessing Learning Styles to improve the quality of performance of
sections. This issue was previously discussed in section 3.1b of this paper. Summary of Student Achievement of Course Objectives and Quality of Instruction Course Objective Relates to Program Assessment Standard Results Accept- Continuous Improvement Outcome(s) a Instrument for (assuming able? Actions Planned (See syllabus for the This final complete statements.) Objective Exam only and Y/N average
object is from the center of the robot. It was determined thatthree sensors in the front and one in the rear of the vehicle will be sufficient to help in the controlof the navigation. The three sensors (SRF 04) [3] in the front are the main source for detectingthe location of close physical obstacles. In arranging the front sensors like this, the desire was togain information not only about how far away each obstacle is, but also an approximation on thelocation of each obstacle. The first way this is accomplished is if there is an object detected onone or two of the sensors and not on the other(s). For example, if an object is detected on the left and center sensors, but not on the right, then the object is located to the
the reduced cognitive load of the new schedule. Thisalso enables more focused lab sessions for programming exercises. The potential drawback isthat students will not see the application of the programming concepts until the fifth week or so.We have attempted to address this issue by making lab exercises more applied, for example byanalyzing sample electrocardiogram data with MATLAB. More concentrated MATLABinstruction may also help reading assignments, as discussed in section 4. Table 3: Current ECE 102 course schedule (2017) ML =MATLAB topic, E-# =eBook reading; T-# =Textbook reading, HW-m =MATLAB homework, HW-s =regular homework, CT =competency test, EX =in-class exam Wk Topic
Design, Signal Processing, Image Processing, FPGA and ASIC implementations, Robotics, Big-data accelerators, Coherent Accelerators (Power8), and Genome Accelerators. He has two patent are pending and is writing another one. He is a Senior Member of IEEE.Prof. Hyoungsoo Kim, California State Polytechnic University Pomona Hyoungsoo Kim (S’04, M’11) received the B.S. degree in Electrical Engineering from the Yonsei Uni- versity, Seoul, Korea in 2000. He received the M.S. degree and Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, GA in 2004 and 2010 respectively. Dur- ing summer of 2008 and 2009, he has worked as a design intern in Lyric Semiconductor (now Analog
, K.I. 2010, The STEM Pipeline:The Role of Summer Research Experience in Minority Students' Ph.D. Aspirations.,Educ. Policy Anal. Arch., 18(30)[4] Slovacek, S.P., Tucker, S. and Whittinghill, J., 2008, Modeling MinorityOpportunity Programs: Key Interventions and Success Indicators: Journal of Educationand Human Development: vol. 2, issue 1, 14 p.,http://www.scientificjournals.org/journals2008/articles/1329.pdf[5] Taningco, M.T.V., Mathew, A.B., and Pachon, H.P., 2008, STEM Professions:Opportunities and Challenges for Latinos in science, technology, engineering, andmathematics: Tomas Rivera Policy Institute,http://www.ibm.com/ibm/ibmgives/downloads/STEM_Lit_04-16-08.pdf , accessedAugust 2009[6] Lopatto, D. 2007, Undergraduate
)," ACM/IEEE, 2016.[2] Association for Computing Machinery and IEEE Computer Society, "Computer Science Curricula 2013," ACM/IEEE, 2013.[3] XPrize, "Qualcomm Tricorder XPrize," 2017. [Online]. Available: https://tricorder.xprize.org/. [Accessed 5 December 2017].[4] D. Harris and S. Harris, Digital Design and Computer Architecture e2, Morgan Kaufmann, 2012.[5] F. Vahid, Digital Design, : zyBooks, 2017.[6] I. Busch-Vishniac and J. Jarosz, "Can Diversity in the Undergraduate Engineering Population Be Enhanced Through Curricular Change?," Journal of Women and Minorities in Science and Engineering, vol. 10, no. 3, pp. 255-281, 2004.[7] J. S. Brotman and F. M. Moore, "Girls and Science: A Review of Four Themes in the Science Education
principles 3. Leveraging as automation and tools as much as possible 4. Amortization and distribution of workThe last three principles are quite straightforward and may be viewed as common sense,however, the first principle may diverge from current prescribed best practices. It has long beenadvocated that accreditation and assessment should be by-products of good practices andprocesses rather than the main objective for designing the program. However, in small tomedium liberal arts colleges, especially those with limited exposure to engineering programs andengineering accreditation, “getting started” is often the biggest hurdle. There is often no in-houseexpertise and likely, the engineering program(s) is(are) newly-established. In this case
as learning rate, number of hidden neurons and number of epochs to see what it will happen. They record the results and discuss their observations. Students must plot the generated function and original function of exponential function. o Students should utilize some functions for function approximation to make the robot trajectory illustrated in Fig. 1 from S (2,2) to T (27,27) in blue circles. Student should clearly write their function mathematically in the milestone reports. Fig. 1 Illustration of a function approximation for a robot navigation case3. The Project Description and Consideration3.1 Function ApproximationIn general, a function approximation issue seeks to select a function among
almost certainlywill be important in their future work with electrical circuit analysis and design. Manyadditional conceptual difficulties remain to be enumerated and addressed, particularly forreactive elements, transient circuits, AC circuits, op-amp circuits, and Laplace transformanalysis, for example, and further such work is planned.7. AcknowledgmentsThis work was supported by the National Science Foundation through the TransformingUndergraduate Education in Science, Technology, Engineering and Mathematics Program underGrant Nos. DUE-1044497 and DUE-1323773. We thank Drs. M. Ardakani, J. Chae, R. Ferzli,S. Goodnick, R. Gorur, Y. Hui, G. Karady, B. Matar, Meng Tao, C. Tepedelenlioglu, T.Thornton, Chao Wang, Hongbin Yu, and Hongyu Yu for
carrying out a nearest-neighbor decision rule. The metric vector is a subset of 2 componentsof the normalized spectral energy vector E x ⁄ E s with E x components given by f(k + 1) 2 Ex ( k ) = f ( k ) X ( f ) df (1)where k = 1, 2, 3, 4, 5, 6 . The integral limits are defined by the frequency band vector f = [ 501, 708, 1000, 1413, 1995, 2818, 3981 ] (2)which defines f ( 1 ) through f ( 7 ) . The energy
–118.[10] L. Aagaard, T. Conner, R. Skidmore. “College textbook reading assignment and class time activity.” J. of the Scholarship of Teaching and Learning. 14:3, August 2014, 132-145.[11] Lei, S. A., Bartlett, K. A., Gorney, S. E., & Herschbach, T. R. (2010). Resistance to reading compliance among college students: Instructor’s perspectives. College Student Journal, 44(2), 219-230.[12] M. French, F. Taverna, M. Neumann, L. Kushnir, J. Harlow, D. Harrison, R. Seranescu. “Textbook use in the Science and its Relation to Course Performance.” College Teaching. 63: 171 -177, 2015.[13] G. Ragusa. “Science Literacy and Text Book Biases” Proceedings of the 120th ASEE Annual Conference and Exposition, Paper ID
Demonstration in Hardware Oriented Security and Trust (HOST), 2016, Online: http://www.hostsymposium.org/host2016/hardware-demo-list_2016.php[3] A. Holst, J. Jang and S. Ghosh, "Investigation of magnetic field attacks on commercial Magneto-Resistive Random Access Memory," 2017 18th International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, 2017, pp. 155-160.[4] CSAW Embedded Security Challenge, https://www.csaw.io/esc[5] Berrett, Dan. "How ‘flipping’ the classroom can improve the traditional lecture." The chronicle of higher education 12 (2012): 1-14.[6] Furman, Burford J. "The un-lecture: a computer-assisted curriculum delivery approach for the effective teaching of mechanical design
of Pattis’ approach atStanford prompted the committee to recommend adoption of Karel by ENCMP 100.Bergin et al.’s implementation2 of Karel, called Karel++, was adapted by the senior FSO for usein ENCMP 100. Because the course focused on procedural C++ (C programming with C++input/output streams), the object-oriented nature of Karel++ was hidden via preprocessor macros.Students were provided a Visual C++ starter project, which included a precompiled Karel++ Page 23.624.3library, and a C++ stub file for task programming. The project was configured to load Karel’sworld from a text file. Students were also provided a Windows application with
projectapplication contains one message that is expected to be encapsulated in a packet containing aheader segment. The header contains the source address and the destination address. Toaccommodate a variable message length, for some course offerings the header has included amessage-length field and for other offerings an end-of-message control character has been usedwithin the message/payload segment. For some of the years that this networking course projecthas been used, one or more fields for error-detection frame-check sequence(s) have beenincluded. Page 24.76.6Line-Coding Formats, Collision-Detection Techniques, and Collision-Detection TestingLine
an effective classroom. Education, 130(2), 241-250.6. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.7. Rodd, J. & Newman, D. (2009). The impact of multi-media on learning specific to user characteristics. University at Albany/SUNY. Paper
do“bridge” the AAS-EET student backgrounds and disposition to the BSEE requirements.The incorporation of bridge courses on the baccalaureate side of the AAS-EET to BSEE TransferTrack forced the scheduling of six general education courses (18 quarter credits) outside of thetwo full-time academic years on the transfer track, which is why the program is not two-plus-two. However, students can opt to take these general education courses at the AAS college,during summers, and/or in an additional term(s) at the end of the program. We have found thatmany students are at the AAS college beyond two years and request the identification of generaleducation courses that can fill their final year there and also transfer to the BSEE degree
Control Response -200 Time (s) Figure 11: April 19th Run #4 Control System DataIn order to tune the control system, the proportional term needs to be reduced so that the car isnot over-correcting to the error. The proportional gain controls a proportional response to theerror. The derivative term helps control the rate of change of the response. It keeps suddenchanges from happening too fast, slowing the rate of change. Once the proportional gain is Page 25.407.12turned down, the derivative gain is adjusted to
Magazine, Vol. 11, No. 1, pp. 70-75, March 2004.3. C. Archibald, E. Millar, J. D. Anderson, J. K. Archibald, and D. J. Lee, "A Simple Approach to a Vision- Guided Unmanned Vehicle", SPIE Optics East, Intelligent Robots and Computer Vision XXIII: Algorithms, Techniques, and Active Vision, 60060J, Oct. 23-26, 2005.4. B. B. Edwards, W. S. Fife, J. K. Archibald, D. J. Lee, and D. K. Wilde, "A Design Approach for Small Vision- based Autonomous Vehicles", SPIE Optics East, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 63840L, Oct. 2006.5. D. Wilde and J. Archibald, "The Robot Racer capstone project", 2009 ASEE Annual Conference, June 14-17, 2009.6. D. Wilde, J. Archibald, D.J. Lee
with anaggregate sample rate of 250 kS/s and a dynamic range of +/- 10 volts. There are two analog-outchannels with 16-bit resolution, four digital inputs, and four digital outputs. Each USB-6211 hasa custom-designed interface board that allows a common signal source to be delivered to allworkstations (see Figure 2). Figure 1: Individual workstation with National Instruments USB-‐6211 and protoboard.The projects all rely on dissemination of one set of signals from a unique origin. Sensor signalsare connected to a distribution panel that fans out the signal to the 24 student positions. This
assignment consisted oftwo to three posted homework problems, each having a set of multiple-choice questions withfeedback spaced at different substages of the problem to determine if the student had understoodthe key concepts presented. At the completion of each quiz, the student was provided immediatefeedback on their selection(s). Based on this feedback, students were allowed to retake the quizan unlimited number of times prior to the mid-week discussion session, during which we wouldgo over the pre-assignment problems and address any questions students had in regard to the Page 24.1262.14other homework to be submitted later that week. The only
less: lessons from online learning. Learning & Leading with Technology, March/April, 18-22.13. B. Abernethy. (1993). Searching for the minimum essential information for skilled perception and action. Psychological research, 55, 131-138.14. E.R.. Guthrie. (1952). The Psychology of Learning: Revised Edition. Harper Bros:Massachusetts.15. E. Kim, J. Kim, & S. Hong. (2007). The effects of students’ intrinsic motivation on academic achievement and preference for cooperative learning" Paper presented at the annual meeting of the International Communication Page 23.1060.12 Association, San