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2018 ASEE Zone IV Conference

Authors

Cassandra J Wright, University of Washington, Bothell; John William Bridge P.E., University of Washington, Bothell

. IntroductionThe School of Science, Technology, Engineering and Mathematics (STEM) at the University ofWashington Bothell has experienced rapid growth in both number of students as well as numberof degrees offered (currently fifteen degrees and five minors) since its inception in 2013. Themechanical engineering program is three years old and recently received ABET accreditation(September 2017). Within the University of Washington system, students declare themechanical engineering major at the end of the sophomore year. At many schools, materialsscience and engineering is a stand-alone or two-course sequence that commonly utilize textbooksby Callister1, Shakleford2, or Askeland3. Here, the Fundamentals of Materials Science (B ENGR320) course is a one

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2018 ASEE Zone IV Conference

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bryan james mealy, Cal Poly State University

) 1 (N=23) 0 A A‐ B+ B B‐ C+ C C‐ D F Grade Figure 1: Course grade distribution.Figure 2 shows a chart of the average quiz scores for the course. The trendline in Figure 2 showsthat the average scores slightly decreased during the course. Table 2 shows how quiz-takingstudents performed both with and without the quiz option. The quiz option had a relatively smallbenefit for students (1.19%); approximately one third of the quiz-taking students had highercourse point totals when their course totals were calculated as a non-quiz option

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2018 ASEE Zone IV Conference

Authors

Yitong Zhao, California State Polytechnic University, Pomona

highenrollment and high-repeat rates (30%).A voluntary oral exam was introduced to students after the midterm exam. During theoral test, students were given problems of similar difficulty level as the examplesdiscussed in class. Students were given 8 minutes to work out the steps to solve theproblem without calculating any number. Students’ performance was graded to receiveup to 5% extra credits towards their overall grades. Scores in the midterm and finalexams, as well as overall course grades were collected to compare between students whotook oral exams (Group A) and those who did not (Group B), while student perceptionsof the course were also examined using surveys. 40 out of 76 students (52.6%)participated in this oral exam. While the midterm exam

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2018 ASEE Zone IV Conference

Authors

Odon M Musimbi, Metropolitan State University of Denver; Jean Paul Mulanza, University of Kinshasa

half the tolerance to the nominal dimension while half the tolerance issubtracted from the nominal dimension for LSL. All those computed characteristics are shown inFigure 2.In this case, neither of the equations (1) or (2) were satisfied and therefore the instrument shouldbe discarded. Figure 1: Measurement data, average and specification Limits (a) (b)Figure 2: (a) Measurement statistics (b) Distribution around the average A second illustration of problem solved by the students was the solution of the heatequation in Heat Transfer with known boundary and initial conditions. The goals of this exerciseincluded the numerical solution of the heat equation

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2018 ASEE Zone IV Conference

Authors

David Kenric Hammond, Oregon Institute of Technology - Portland Metro; H. J. Corsair, Oregon Institute of Technology

DownloadEmptyBidsheet MainPage Enterbids(offline) UploadBidsheet ViewMarketReport Computeprofit/loss(offline) (b) (a)Figure 1: (a) View of the EMM-app Main Page, for a market simulation with 3 bid rounds (b)Typical user workflow. EMM-app pages

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2018 ASEE Zone IV Conference

Authors

Robyn Sandekian, University of Colorado, Boulder

Tagged Topics

Diversity

Engineers, “SWE fact sheet,” (2014, May 7, 2014). Available: Society ofWomen Engineers, http://societyofwomenengineers.swe.org/about-swe/4309-swe-fact-sheet[6] W. A. Wulf, “Diversity in engineering,” The Bridge, vol. 28, no. 4, pp. 8-13, 1998.[7] K. Bowman, “Growth and Gender Diversity of the US Engineering Faculty,” LinkedIn Pulse,04-Jul-2016. [Online]. Available: https://www.linkedin.com/pulse/growth-gender-diversity-us-engineering-faculty-keith-bowman. [Accessed: 21-Nov-2016]. [8] National Science Foundation Engineering Workforce Task Group, “The engineeringworkforce: Current state, issues, and recommendations-Final report to the Assistant Director ofEngineering.” Washington, DC, USA, 2005.[9] J. A. Whittaker & B. L. Montgomery, (2012

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2018 ASEE Zone IV Conference

Authors

Ann Kowalski, Colorado State University; Christopher Snow Snow

, 28–30 (2006).4. Cheng, K. K., Thacker, B. A., Cardenas, R. L. & Crouch, C. Using an online homework system enhances students’ learning of physics concepts in an introductory physics course. Am. J. Phys. 72, 1447–1453 (2004).5. Online Homework, Help or Hindrance? What Students Think and How They Perform - ProQuest. Available at: https://search.proquest.com/openview/08edcf33f4a99c28d1f6f9785f70342a/1?pq- origsite=gscholar&cbl=49226. (Accessed: 28th December 2017)6. A Quantitative and Qualitative Analysis of the Effectiveness of Online Homework in First- Semester Calculus - ProQuest. Available at: https://search.proquest.com/openview/e3f7d1f65053439bbf5f94a3ddcb2cde/1?pq- origsite=gscholar&cbl=23124. (Accessed: 16th

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2018 ASEE Zone IV Conference

Authors

Kattia Chang, Cañada College; Karina Abad, Cañada College; Ricardo Jesus Colin, Canada College; Charles Tolentino, University of California, Merced; Cameron Malloy, University of California, Berkeley; Alex David, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Xiaorong Zhang, San Francisco State University

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Education through the Minority Science andEngineering Improvement Program (MSEIP, Award No. P120A150014); and through theHispanic-Serving Institution Science, Technology, Engineering, and Mathematics (HSI STEM)Program, Award No. P031C110159.Bibliography1. Olson S, Riordan DG: Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President. Executive Office of the President 2012.2. Gregerman SR, Lerner JS, von Hippel W, Jonides J, Nagda BA: Undergraduate student-faculty research partnerships affect student retention. The Review of Higher Education 1998, 22:55-72.3. Graham MJ, Frederick J, Byars-Winston A, Hunter A-B

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2018 ASEE Zone IV Conference

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Ava Madeline Bellizzi; Susan M Lord, University of San Diego; Elizabeth A. Reddy, University of San Diego

the Fall 2016 and Fall 2017 semesters. The authorswould especially like to thank Alyssa Beamish for her unique contribution to this work. Thiswork was partially supported by the National Science Foundation through a RevolutionizingEngineering and Computer Science Education (RED) Award #1519453. The views expressedherein are solely those of the authors.References1. Duffy, J., Tsang, E., & Lord, S. (2000, June). Service-Learning in Engineering: What, Why, and How? ASEE Annual Conference and Exposition, St. Louis, MO.2. Jacoby, B., & Assoc. (1996). Service Learning in Higher Education (p. 5). San Francisco, CA: Jossey-Bass.3. Paquin, J. L., (2006). How Service-Learning Can Enhance the Pedagogy and Culture of Engineering Programs

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2018 ASEE Zone IV Conference

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Kyle Frederick Larsen P.E., Eastern Washington University; Nm A Hossain, Eastern Washington University; Hani Serhal Saad, Eastern Washington University; Abolfazl Amin, Utah Valley University; Heechang Bae, Eastern Washington University

Statistician, Vol. 45, No. 4, pp. 274 – 283, November 1991.2. P. H. Kvam, “The Effect of Active Learning Methods on Student Retention in Engineering Statistics”, The American Statistician, Vol. 54, No. 2, pp. 136 - 140, May 2000.3. J. L. Romeu, “Teaching Engineering Statistics with Simulation: A Classroom Experience”, Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 35, No. 4, pp. 441 – 447, 2014.4. J. H. Marvel , and C. R. Standridridge, “Development of a Freshman Engineering Measurement and Analysis Course Integrated with Calculus-based Statistics,” ASEE Annual Conference and Exposition, 2003.5. S. E. Butt, T. K. Fredericks, and B. E. White, ”Elements of an Activity – Based Statistics Course for Engineers

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2018 ASEE Zone IV Conference

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Brock J. LaMeres, Montana State University; Paul Gannon, Montana Engineering Education Research Center; William J. Schell IV P.E., Montana State University

Paper ID #240712018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Building Engineering Education Research Capacity – Chronicles of a NewCenter at Montana State UniversityDr. Brock J. LaMeres, Montana State University Dr. Brock J. LaMeres is the Director of the Montana Engineering Education Research Center (MEERC) and an Associate Professor in the Department of Electrical & Computer Engineering at Montana State University. LaMeres teaches and conducts research in the area of computer engineering. LaMeres is currently studying the effectiveness of online delivery of engineering content with emphasis on how the material

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2018 ASEE Zone IV Conference

Authors

Kevin P Pintong, Oregon Institute of Technology

Paper ID #241392018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Engaging middle school and high school students in STEM through a pro-gramming, design, and soldering workshopProf. Kevin P Pintong, Oregon Institute of Technology Kevin Pintong is an assistant professor at Oregon Institute of Technology in Klamath Falls, Oregon. c American Society for Engineering Education, 2018Engaging middle school and high school students in STEM through aprogramming, design, and soldering workshopKevin Pintong, Oregon Institute of Technology1. IntroductionThe Owlet board is a development kit designed to encourage middle

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2018 ASEE Zone IV Conference

Authors

Shellee Dyer, Metro State of Denver

Paper ID #241882018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Using Mobile Devices to Improve Engineering Education: A Process ControlLaboratory ExampleDr. Shellee Dyer, Metro State of Denver c American Society for Engineering Education, 2018Using Mobile Devices to Improve Engineering Education: A Process Control Laboratory Example Shellee Dyer and Julio Proano Department of Engineering and Engineering Technology, Metropolitan State University of Denver Denver, CO sdyer10

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2018 ASEE Zone IV Conference

Authors

Tyler Jay Ashby, Utah State University; Wade H Goodridge, Utah State University; Sarah E Lopez, Utah State University; Natalie L Shaheen, National Federation of the Blind; Benjamin James Call, Utah State University - Engineering Education

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Diversity

in a rubber material. Thethree parts are assembled, and the object appears the same as the other alternatives (see Figure4). Ultimately, the texture type that receives the most positive feedback from the consultants willbe selected and incorporated into each of the 25 problems for the final instrument. Object A Object B Figure 3. Photographs of 3-D printed TMCT Objects. Object A has a rubber-textured POI, Object B has a glue-textured POI Unassembled Assembled Figure 4. Photographs of three part 3-D printed TMCT Object before and after assembly.The possible TMCT answers for each problem

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2018 ASEE Zone IV Conference

Authors

Ryan Carroll, Canada College; Brian Carrozza, Canada College; Yardley Ordonez, Canada College; Edgar Sanchez, Canada College; Andres Lee, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Cheng Chen, San Francisco State University; Hao Jiang, San Francisco State University; Kwok Siong Teh, San Francisco State University

from A to B Dropped to pick up Trial 1 10 2 3 Trial 2 8 4 3 Trial 3 8 4 3 Trial 4 10 2 3 Trial 5 11 1 3 Table 2: Grip Precision Test 1 - Stacking Washers (Standard Prosthetic Hand) Washers moved Washers Washers failed to from A to B Dropped pick up Trial 1 9 3 3 Trial 2 10 2 3 Trial 3 10

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2018 ASEE Zone IV Conference

Authors

Katherine Mavrommati, California Polytechnic State University; Eileen W. Rossman, California Polytechnic State University, San Luis Obispo; Brian P. Self, California Polytechnic State University, San Luis Obispo; Jay Tyler Davis II

the walls to capture live motion. Table 1. List of final projects by dynamics students. Groups consisted of up to 4 students.Group # Project Description1 Calculate the angular velocity of a frisbee using the change in linear displacement over a time interval at its point of release.2 Consider that the leg has two segments, the thigh and the shank. Find the angular velocity of the shank while pushing off a skateboard.3 Drone S is hovering over at a particular point while the drone B is flying towards drone M. The drones collide and the blades bind creating a plastic collision. Find the final velocity of the drones after impact and the initial velocity of drone M.4

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2018 ASEE Zone IV Conference

Authors

Nebojsa I Jaksic P.E., Colorado State University, Pueblo; Trung H Duong, Colorado State University, Pueblo

the modernPC’s don’t include an RS232 port, an additional card with two serial ports was installed. a b Figure 1. a) Mitsubishi’s Movemaster RV-M2 Robot, b) Control ModuleRobot’s Integrated Development Environment (IDE)The robot’s operating system consists of a 71-command instruction set. The commands includeI/O commands, position/motion commands (move the robot in the world, joint, or toolcoordinates), program control instructions, hand control instructions, RS232C read instructions,and miscellaneous instructions14. Originally, the operating systems was DOS running on an Intel8088 PC. The program that was used to send the commands to the robot was Q-Basic. As the

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2018 ASEE Zone IV Conference

Authors

Cheng Chen, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Shahnasser, San Francisco State University; Jun Jian Liang, San Francisco State University; Christopher Alexander Amaro, Cañada College; Adam Albert Davies, ASPIRES ; Priscila Joy Silva Chaix, Cañada College; Jesus Caballero, Canada College; Juvenal Marin Sanchez, San Jose State University; Xiaorong Zhang, San Francisco State University

Tagged Topics

Diversity

hyperbolictangent, the non-parametric algebraic and the Bouc-Wen models, for both force-versus-displacement and force–versus-velocity with various current inputs, respectively. Figures5(a)~(d) present the sensitivity analysis result of the viscous plus Dahl model, non-parametricalgebraic model, hyperbolic tangent model and Bouc-Wen model, respectively. The resultsdemonstrate the correlation-based indices of different models for both linear and rank analysis.Figure 5(a) shows k x as the highest contributed parameter to the viscous plus Dahl model; whilek w and ρ have small negative correlation-based indices, which mean that as kw and ρ increase theoutput force will decrease. Figure 5(b) presents the non-parametric algebraic model resultsshowing parameter b

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2018 ASEE Zone IV Conference

Authors

Sam Spiegel, Colorado School of Mines; Megan Sanders, Colorado School of Mines

object b in the direction of the motion as object b moves distance d then the work WFab exerted by object a on object b is given by WFab = (Fab )(d). Think “work = force times distance”. 2. Recall the units used for Work: Quantity English Metric kg m Force lb N ewton or s2 Work ft lb joule or N m m g (gravitational constant) 9.8 2

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2018 ASEE Zone IV Conference

Authors

Jayson Paul Mercurio, Canada College; Kevin Yamada; Jose L. Guzman, Canada College; Xiaorong Zhang, San Francisco State University; Wenshen Pong P.E., San Francisco State University; Amelito G Enriquez, Canada College; Zhaoshuo Jiang P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Alexander Choi, Canada College; Ayesha R Iqbal

Tagged Topics

Diversity

Recognition, 2003. Proceedings. doi:10.1109/icdar.2003.12278015. Schaul, Tom, Ioannis Antonoglou, and David Silver. (2014). Unit Tests for Stochastic Optimization. [1312.6055] Unit Tests for Stochastic Optimization.6. Ian Goodfellow, Yoshua Bengio & Aaron Courville (2016). Deep Learning. MIT Press. doi:10.1038/nature145397. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin et al. (2016). Tensorflow: Large-scale machine learning on heterogeneous distributed systems. [1603.04467]8. Lecun, Y. A., Bottou, L., Orr, G. B., & Müller, K. (2012). Efficient BackProp. Lecture Notes in Computer Science Neural Networks: Tricks of the Trade, 9-48. doi:10.1007/978-3-642

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2018 ASEE Zone IV Conference

Authors

Jean L. Lee, California Polytechnic State University, San Luis Obispo

the presence of a reflection prompt may help increase the efficacy of anassignment. In assignments where a reflection prompt was present, the magnitude of thestandard deviation in students’ responses regarding perceived efficacy of an assignment wassmaller when a reflection prompt was present. This suggests that the presence of a reflectionprompt may serve to focus students on the efficacy of an assignment.Bibliography[1] M. Thorpe, “Encouraging students to reflect as part of the assignment process”, Active Learning in HigherEducation 1 (2000) 79 – 92.[2] B. M. Colley, A. R. Bilics, and C. M. Lerch, “Reflection: A Key Component to Thinking Critically”, TheCanadian Journal for the Scholarship of Teaching and Learning 3 (2012) 1 – 19.[3] H. P

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2018 ASEE Zone IV Conference

Authors

Bridget Benson, California Polytechnic State University, San Luis Obispo; Matt Jamison Burnett, State University of New York at Canton

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Diversity

. Figure 5: Software flow diagram for microcontroller systemSystem TestsIn order to test the vessel and microcontroller system design, two system tests were performedalong the Isar River in Munich, Germany prior to the final demonstration at Grasse River: IsarTest Launch A and Isar Test Launch B. Below we describe the test setup, test goals, and testfindings of each system test.Isar Test Launch AIsar Test Launch A included 13 “Iteration 1” vessels loaded and launched at an accessible bendin the Isar River along the southeast edge of Munich, Germany. Two units contained theprototype microcontroller system and the remaining units contained “dummy” LEDS solely totest the light quality of the project. At dusk, the vessels were dropped in the water by

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2018 ASEE Zone IV Conference

Authors

Maria Pantoja, California Polytechnic State University San Luis Obispo; Zoe Wood Wood, Cal Poly - San Luis Obispo

4 0 0 0 Maybe No Yes Maybe No Yes Maybe No YesFigure 1 Results for Questions a) ii, "Did the joint teaching experience help you understand the GPUfrom multiple perspectives?” b) v: “For CPE 471 (CG) students: Are you more likely to want to learnmore about parallel programing after this exercise?” C) vi: For CPE 419 (PP) students: Are you morelikely to want to learn more about computer graphics applications after this exercise?The results of the three types of questions on the survey show that the inter-class collaboration wasoverall a success: A. Comprehension/knowledge related questions. To evaluate what students learned from

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2018 ASEE Zone IV Conference

Authors

Ryan Yedinak, Cañada College; Oskar Granados, Canada College; Vincent Vu Thanh Tran, San Jose State University; Moises Arturo Vieyra, Canada College; Alec William Maxwell, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University

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://doi.org/10.1016/j.engstruct.2005.02.021.2. Rice, J. A., Mechitov, K. A., Sim, S. H., Spencer, B. F. and Agha, G. A. (2011), Enabling framework for structural health monitoring using smart sensors. Struct. Control Health Monit., 18: 574–587. doi:10.1002/stc.3863. Duzgun, A., Jennifer A. R., Justin R. M., and Ivan R., L. “Comparison of Visual Inspection and Structural-Health Monitoring As Bridge Condition Assessment Methods.” Journal of Performance of Constructed Facilities 30, no. 3 (June 1, 2016): 04015049. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000802.4. ASCE Infrastructure Report Card 2017, American Society of Civil Engineers.5. Quanser. Shake Table II - Quanser. https://www.quanser.com/products/shake-table-ii

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2018 ASEE Zone IV Conference

Authors

Mark Todd Gordon, California Baptist University; Seunghyun Chun, California Baptist University; Xueyan Sarah Zhao, California Baptist University; Michael Jean-Claude Nalbandian, California Baptist University; Mi Kyung Han, California Baptist University; Mario Oyanader, California Baptist University

- tive learning with Student Response Systems, Key Competencies Teaching, and One-On-One and Peer Training. Dr. Oyanader has three main research interest focus areas: a) Applied Environmental Engineering, b) Electro-Bio-molecular Treatment and Separation, and c) Computational and Modeling Approach in Physicochemical Processes. His approach is based on the use of fundamental principles to explore so- lutions to a wide range of practical problems that includes effluent treatment, water decontamination, desalinization, drug delivery and the design of medical devices. c American Society for Engineering Education, 2018 Design Course for First-Year Students in Multiple Engineering

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2018 ASEE Zone IV Conference

Authors

Vladislav Valeryevich Miftakhov, ASPIRES; Cody Del Prato; Søren Anders Tornøe, Cañada College; Kwan M Lim, San Francisco State University; ali attaran, San Francisco State University; Amelito G Enriquez, Canada College; Cheng Chen, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Kwok Siong Teh, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hamid Shahnasser, San Francisco State University; Wenshen Pong P.E., San Francisco State University

. Thestudent interns were surveyed at the end of the program to measure their satisfaction with theoffered research experience and the impact on their educational and career perspective. Thesurvey confirmed that the participants formed a higher level of confidence in pursuing STEMcareers after participating in this program.Bibliography[1] H. Mahmoodi, A. Attaran, T. Sheaves, “Design of a Non-Volatile Latch using Resistive Memory Technology”[2] H. Mahmoodi, S. Srinivasan Lakshmipuram, M. Aora, Y. Asgarieh, H. Homayoun, B. Lin and D. M. Tullsen“Resisitive Computation: A Critique.” IEEE COMPUTER ARCHITECTURE LETTERS, VOL. 13 NO.2, JULY-DECEMBER 2014[3] W. Zhao, E. Belhaire and C. Chappert “Spin-MTJ based Non-Volatile Flip-Flop.”Proceedings of the 7th

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2018 ASEE Zone IV Conference

Authors

Zsuzsa Balogh, Metropolitan State University of Denver; Akbarali Thobhani, Metropolitan State University of Denver

Tagged Topics

Diversity

associated events, a large number of Hungarian government-sponsored refurbishment projects were ongoing in the city. These projects provided a uniqueopportunity for Metropolitan State University of Denver (MSU Denver) and University of Pecs(UP) to jointly organize a Refurbishment of Structures course that constituted the start of anacademic collaboration between the two institutions. Although initially the partnership wasbetween the engineering colleges, by now it has expanded university wide. As the partnershipgrows, more academic areas, from Political Science, to Africana Studies, to Management havestarted collaborations, which consist mainly of faculty and student exchanges and jointconferences and program development. One of the main purposes of

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2018 ASEE Zone IV Conference

Authors

Abolfazl Amin, Utah Valley University; Kyle Frederick Larsen P.E., Eastern Washington University

prematurely. Of course, it is important topoint out that fortunately students who express interest in engineering have a good understandingabout dependence of engineering on mathematics and science. They also realize that the field ofengineering in academia and professional environment tends to be more rigorous than someother professions and requires high level of ethics and responsibility.Description of methodAfter many years of teaching this course, it has been realized that the purpose of offering anintroductory course in engineering could be threefold: a. To attract good students, especially minorities and females, to the field of engineering. b. To provide useful information about engineering for those who have undeclared majors and are

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2018 ASEE Zone IV Conference

Authors

John Y Oliver, California Polytechnic State University, San Luis Obispo; Cassidy Elwell

Tagged Topics

Diversity

Paper ID #241572018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Effective Competitions for Broadening Participation in CybersecurityDr. John Y Oliver, California Polytechnic State University, San Luis Obispo Dr. Oliver is an associate professor of Electrical Engineering and is the director of the Computer Engi- neering program at Cal Poly, San Luis Obispo. Dr. Oliver is also a program director for the California Cyber Training Complex (CCTC). His field of expertise is in computer architecture, system performance analysis and digital forensics. His teaching activities focus on embedded systems, digital circuit design

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2018 ASEE Zone IV Conference

Authors

Dennis Derickson, California Polytechnic State University, San Luis Obispo

license in 1975. c American Society for Engineering Education, 2018 Simple Student-Built IQ Modulator/Demodulators for Wireless Communication Laboratory Digital Communication Link DemonstrationsABSTRACTInstrumentation Vector Signal Generators (VSG) and Vector Signal Analyzers (VSA) are greattools to demonstrate wireless communication link characteristics but are often too expensive forequipping every station in a digital communications laboratory. Software Defined Radios (SDR)equipment are also great tools for demonstrating wireless links as there are models now that arerelatively inexpensive and have great performance. The laboratory exercise discussed in