Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

.[11] R. Deng, P. Benckendorff, and D. Gannaway, “Progress and new directions for teaching and learning in MOOCs,” Computers & Education, vol. 129, pp. 48-60, 2019.[12] Q. Li, Q and R. Baker, “The different relationships between engagement and outcomes across participant subgroups in Massive Open Online Courses,” Computers & Education, vol. 127, pp. 41-65, 2018.[13] C. C. Gray and G. Perkins, “Utilizing early engagement and machine learning to predict student outcomes,” Computers & Education, vol. 131, pp. 22-32, 2019.[14] H. Qu and Q. Chen, “Visual analytics for MOOC data,” IEEE Computer Graphics and Applications, vol. 6, pp. 69-75, 2015.[15] A. F. Wise, “Designing pedagogical interventions to support student

Conference Session

Computing Tools for Engineering Education

Collection

2006 Annual Conference & Exposition

Authors

William Josephson, Tuskegee University; Jaya Krishnagopalan, Tuskegee University; Nader Vahdat, Tuskegee University

Tagged Divisions

Computers in Education

anequation is not explicit in an unknown variable. Such situations are common in chemicalengineering courses starting with the sophomore year. Figure 3 illustrates a case fromthermodynamics4 in which a given equation relates τ, a dimensionless variable equal to atemperature divided by the initial temperature To, to other parameters such as heat transfer Q, thegas constant R, the initial temperature To, molar amount n and a heat capacity relationshipdependent on the material (parameters A, B, C and D). Q = nR[ATo(τ-1) + BTo2 (τ2-1)/2 + CTo3 (τ3-1)/3 + D(τ-1)/τTo]As the equation is cubic in τ it is not able to be solved analytically by first year students.However, an iterative approach (or “trial and error” in student-speak) does

Conference Session

Online Learning

Collection

2012 ASEE Annual Conference & Exposition

Authors

Grant Huang, University of Texas, San Antonio; Andreas Gampe, University of Texas, San Antonio; Arsen Melkonyan, University of Texas, San Antonio; Murillo Pontual, University of Texas, San Antonio; David Akopian, University of Texas, San Antonio

Tagged Divisions

Computers in Education

collectted from thee users were very posittive. Some uusers asked d forsome otther features, among thhem, such ass experimen nt control sw witch functiion among the tusers w without the queuing q con nstraints, cam mera contro ol (i.e. zoom m in, zoom oout and chan

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Fred W DePiero, California Polytechnic State University

Tagged Divisions

Computers in Education

(based on result of pretest on learning objectives with confidence declarations). 4. Content – Why?13 a. Describe motivations for the new topic9,16 i. Describe a problem that is difficult to answer without new topic ii. Describe an application enabled thanks to the new topic, and importance / societal impact of application b. Include historical context or fun facts 5. Content – What? a. Present overview b. Present details: derive and describe concept, process, technique, analysis or method c. Engage students via simple Q&A, with feedback, to keep students

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Burchan Aydin, Texas A&M University - Commerce; Muge Mukaddes Darwish, Texas Tech University; Emre Selvi, Jacksonville University

Tagged Divisions

Computers in Education

. Pareto Chart for Methodology 50 120% 46 C 45 99% 40 100% 100% u F 35 m r 80% 30 u e 75% q 25

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Camilo Vieira, Purdue University; Alejandra J. Magana, Purdue University, West Lafayette; Anindya Roy, Johns Hopkins University; Michael L. Falk, Johns Hopkins University; Michael J. Reese Jr., Johns Hopkins University

Tagged Divisions

Computers in Education

, w2, T) 4. A function that plots a phase diagram (35 points) function PhaseDiagram(HA1, SA1, HB1, SB1, w1, HA2, SA2, HB2, SB2, w2, Tmin, Tmax)Project 2: Modeling HIV Response to Immune TherapyYour assignment is to write a computer program that will model the progress of the HIV infection in a patient that isbeing treated with a drug of a given effectiveness, Q. The HIV infected patient is assumed to start with a T-cellcount of T(0)=1, this being a healthy level, and having no infected T-cells, I(0)=0. We assume that infection occursat day 0 a viral load of V(0)=0.01. We will assume that if a drug is administered, therapy starts on the day ofinfection. In the model, if the HIV infected patient’s T-cell count, including

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Emre Tokgoz, Quinnipiac University; Samantha Eddi Scarpinella, Quinnipiac University; Michael Giannone, Quinnipiac University

Tagged Divisions

Computers in Education

same technology to solve these two questions.  26% of the participants correlated to solve Q1 and Q2 by using the same technology, calculator.  33% of the participants correlated to solve Q2 and Q3 by using a calculator.  35% of the research participants selected different technologies for all three questions.Figure 16 below reflects a summary of the correlation analysis. Correlation Analysis of the Three Research Questions  Different Tech  35%  Q2&3  33%  Q1&3  52%  Q 1&2

Conference Session

CoED Mechanical Engineering Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Shahnam Navaee, Georgia Southern University; Junsuk Kang, Seoul National University

Tagged Divisions

Computers in Education

contour plot shows the variation of the normal stress along the x-axis,while the second displays the variation of the Von-Misses stress. The stresses in the model wereobtained using a C3D8R type element. The parts of the model which are more severely stressed canbe seen on the stress contour presented in Figure 4(c). The Von-Mises stress contour can be used tomake sure that the yield stress in the material is not exceeded. Using this type of analysis the normaland shear stresses at any cross section on the structural member can be determined and comparedagainst the theoretical stress values obtained using Eq. (6). M yz Mz y N V Q Tc V Q Tcx      xy  y z   xz  z y

Conference Session

Computed Simulation and Animation

Collection

2007 Annual Conference & Exposition

Authors

William Ziegler, State University of New York-Binghamton

Tagged Divisions

Computers in Education

Solutions,Computing in Science and Engineering, vol. 8, no. 1, January/February 2006, pp.73-774. J. Watkins, G. Piper, K. Wedeward and E.E. Mitchell, Computer Animation: A Visualization Tool for DynamicSystems Simulations, Proceedings of the 1997 ASEE Annual Conference, June 15-18, 1997, Milwaukee, WI5. A. J. Valocchi and C.J. Werth, Web-Based Interactive Simulation of Groundwater Pollutant Fate and Transport,Computer Applications in Engineering Education, vol. 12, no. 2, 2004, pp.75-83.6. R. Jacquot, University of Wyoming, College of Engineering, www.eng.uwyo.edu/classes/matlabanimate7. www.fao.org/docrep/T0551E/t0551e05.htm8. Animusic, Austin, Texas, http://www.animusic.com/company-contact-info.html9. http://video.google.com/videosearch?q

Conference Session

Computational Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Thad B. Welch III P.E., Boise State University; Sam Shearman, National Instruments

Tagged Divisions

Computers in Education

and user interface operations (e.g., modulation/demodulation,coding/decoding, interleaving/deinterleaving, etc …) without exceeding the product’s bill ofmaterials (BOM) target. This processor must therefore, be fast and powerful enough, but not toocapable, since this will eventually drive up the component’s cost.A straight forward comparison of traditional communication system design and aUSRP/LabVIEW-based design follows. The USRP performs the traditional analog signalconditioning functions required of almost any radio, the required signal conversion (ADC andDAC), and then performs the rate conversion necessary to provide in-phase and quadrature (I &Q) signal samples, both to and from, the processor. In a USRP/LabVIEW-based system

Conference Session

Best of Computers in Education Division

Collection

2011 ASEE Annual Conference & Exposition

Authors

Marcial Lapp, University of Michigan; Jeff Ringenberg, University of Michigan; Kyle J. Summers, University of Michigan; Ari S. Chivukula, MPS; Jeff Fleszar, University of Michigan, Ross School of Business

Tagged Divisions

Computers in Education

: Question manager m interface to be uused by the ccourse instruuctor. Page 22.1481.5 Figurre 3: Active question q inteerface to thee displayed dduring lecturre.4. Featu ure Selectio onAs noted d in §2, many y implementtations of stu udent responnse systems eexist today. H However, thheMobile Participation P System provvides severaal features thhat are currenntly not offered in otherdevices. It is these feeatures specifically that make m the MP PS superior tto other

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob Bishop, Utah State University; Matthew A Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

Activities Treatment Control Type Structure Full Flip, Single-Group Lage [48,49] Fr SGA VL 40 - O O-X Kaner [44] U SGA VL - - O O-X Bergmann [5,6] HS - - - - - - Talbert [70] U SGA;Q VL 7 - O O-X Gannod [28,29] Fr-Gr HW;SGA VL 20;160 IP - O X-X Toto [74] Jr - VL;Q 74 - O X1 -X2 Zappe

Conference Session

Computers in Education 6: Best of CoED

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Luwen Huang, Massachusetts Institute of Technology; Kayla M. Bicol; Karen E. Willcox, University of Texas at Austin

Tagged Divisions

Computers in Education

specified set, if any, make the Directly-impacted Grade 6 equation or inequality true? 4. [6.EE.5] Use substitution to determine whether a given number in a specified set makes an equation or inequality true. Directly-impacted Grade 6 5. [6.EE.7] Solve real-world and mathematical problems by writing and solving equations of the form x + p = q and px = q for cases in which p, Directly-impacted Grade 6 q and x are all nonnegative rational numbers. 6. [6.EE.8] Write an inequality of the form x ¿ c or x ¡ c to represent a constraint or condition in a real-world or mathematical problem. Directly-impacted Grade 6 7. [6.EE.8] Recognize that

Conference Session

Computing Technology Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University

Tagged Divisions

Computers in Education

perspective.Case #1: Epistemological PrivilegingImagine a student who is in an introductory college physics course. This student engages withthe material, wanting to learn about electric fields and the forces exerted by electrostatic charges.She engages readily in conversation with her three group mates and always pushes the group fora mathematical explanation, unsatisfied with an understanding purely based on physicalexamples. She also does all of her homework. Here is the problem: unlike the rest of her group,she is not getting the fundamental physical concepts behind the formation of electric fields andthe application of the equation E = F / q. The question is: why?Lising and Elby [27] investigated this question with a thorough qualitative study that

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Bryan A. Jones, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Divisions

Computers in Education

. Survey Statement ChoicesQ1 I would rate my knowledge of HDL and digital Poor (0), Fair (1), Satisfactory systems design knowledge at the start of the course (2), Very Good (3), Excellent (4)Q2 I would rate my knowledge of HDL and digital Poor (0), Fair (1), Satisfactory systems design knowledge at the conclusion of the (2), Very Good (3), Excellent (4) courseQ3 Writing detailed and descriptive comments in my HDL Strongly disagree (-2), Disagree descriptions helped me to learn. (1), Neither disagree or agree (0), Agree (+1), Strongly agree (+2)Q4 I would have rather had traditional Q

Conference Session

Computational Tools and Simulation II

Collection

2009 Annual Conference & Exposition

Authors

Anatoliy Protasov, National Technical University of Ukraine “KPI”

Tagged Divisions

Computers in Education

B.ConclusionFEMLAB software package can be used for simulation of the TNDT process. It givesopportunity to investigate a potential of this testing method. The proposed laboratory traininghelps students to understand physical processes occurred in a solid body under the action oftemperature. They can observe processes which are invisible for a human eye and betterunderstand thermal wave propagation in the testing object. It improves the students’ progressin studies.Appendix A: Instructions for laboratory work accomplishmentInstructor specifies materials of a testing object (conductor) and a defect (dielectric), andboundary conditions (temperature T, heat flow Q, convection heat transfer coefficient h,ambient temperature Tamb).Tasks for students: 1. Use a

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kuosheng Ma, Southern Polytechnic State University ; Liang Hong, Tennessee State University; Kai Qian, Southern Polytechnic State University; Dan Lo, Southern Polytechnic State University

Tagged Divisions

Computers in Education

Journal of Electronics and Communication Engineering, vol. 3, no. 1, Jan. 2013, pp. 36-38.5. Nielsen, M.L., Lenhert, D.H., Mizunol, M., Singh, G., Staver, J., Zhang, N., Kramer, K., Rust, W.J., Stoll, Q., and Uddinl, M.S., “Encouraging interest in engineering through embedded system design”, ASEE Annual Conference & Exposition, 2004.6. K. Ma, M. Yang and K. Qian, “Contradistinction and relevant learning for transform processing with smartphones in engineering education”, Proc. IEEE 13th International Conference on Advanced Learning Technologies, Beijing, China, July 2013.7. L. Hong, K. Qian and C. Hung, “Multi-faceted penetration of fast Fourier transform by interactively analyzing real-world objects via mobile technology,” ASEE

Conference Session

Software and Hardware for Educators II

Collection

2010 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

Counter Q Load P Figure 4: Microcode-Based ControllerThe signals EnA, EnN, and EnL enable a parallel load for the A, N, and L registers, respectively.The signal EnD enables the D register according to Table 1. Likewise, SelMux and SelALUcontrol the multiplexer and ALU according to Table 2 and Table 3, respectively. The KValsignal provided to the data path is constant for one clock cycle. The Wr signal indicates amemory write action. Table 4: Microcode Branch Conditions Test Branch Condition 00 Do not branch 01 Branch always

Conference Session

Computers in Education 5 - Online and Distributed Learning 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sunay Palsole, Texas A&M University; Jaskirat Singh Batra, Texas A&M University; Xi Zhao, Texas A&M University

Tagged Divisions

Computers in Education

synchronous courses, they showed a more positive reaction to the course when thefaculty used polling, Q&A, and other methods for student engagement. A similar reaction was shownin their satisfaction with asynchronous courses.While these data are very preliminary, they provide some design implications for asynchronous andsynchronous courses. In asynchronous courses, the students appreciated the use of Zoom for liveengagement. This indicates that future asynchronous course designs could benefit from includinglive interaction opportunities as part of the course. Similarly, for synchronous courses, addingopportunities for student engagement during live lectures by using chat sessions, polls, and similartools would lead to higher student satisfaction

Conference Session

Mobile Robotics in Education

Collection

2007 Annual Conference & Exposition

Authors

David Ahlgren, Trinity College; Igor M Verner, Technion--Israel Institute of Technology

Tagged Divisions

Computers in Education

TCFFHRC and a fourth-place finish in the Navigation Challenge of the 2005 IGVC, naturally have built studentconfidence. The RST is divided into project groups, each focusing on a specific robot design.Every member of the RST chooses one or more projects and is expected to report regularly to theweekly RST seminar, which the second author supervises. In the fall of 2006, the team worked Page 12.336.3on four projects: (1) A new autonomous land vehicle (named Q). From 2000-2006 this group designed and competed with another IGVC robot, ALVIN. Q is an entirely new design based on an electric racing wheelchair. In the fall of 2006 the

Conference Session

Computer Education Management Tools

Collection

2007 Annual Conference & Exposition

Authors

Lupita Montoya, Rensselaer Polytechnic Institute; Chris Moore, Rensselaer Polytechnic Institute

Tagged Divisions

Computers in Education

accessed the complete notes prior to the midterm. Bot 52% Comparison of Group Performance Top 48% Midterm 2, Q Topics 4/5 & 18 Percentage who accessed notes Item Criterion Low Performance Ave Performance

Conference Session

Robots in Education

Collection

2009 Annual Conference & Exposition

Authors

David Ahlgren, Trinity College; Igor Verner, Technion-Israel Institute of Technology

Tagged Divisions

Computers in Education

on implementing a subset of JAUS on the Q robot. Attendees completed an exercise in which they developed a short LabView code that enabled JAUS communication between two computers. The RST successfully entered the JAUS performance competition event at the IGVC, winning a $500 prize.• The PCB design workshop focused on teaching attendees how to use the Mentor Graphics PADS package. Each attendee designed a simple printed circuit board, going through the schematic capture and layout phases of the development.• The Laser Rangefinding group focused its efforts on understanding, demonstrating, and preparing a Sick Model LMS-291 laser rangefinder. Their work included writing LabView drivers to handle high speed serial communication between

Conference Session

Laboratory Applications of Computers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Oluyemisi Oladayo Satope, iLabs OAU; Isaiah Oreoluwa Boboye, Obafemi Awolowo University; Olawale Babatunde Akinwale, Obafemi Awolowo University; Lawrence O. Kehinde, Obafemi Awolowo University; Olabode Idowu Asubiojo, Obafemi Awolowo University

Tagged Divisions

Computers in Education

................................................................................................ 2where q is the amount of heat that flowed m is the mass of the substance C is the specific heat capacity of the substance ΔT is the change in temperature of the substanceApparatus: Calorimeter, heater, digital scale, thermometerMaterial: Water, metal samples (with known specific heat capacities).Procedure: 1. The mass of the empty calorimeter is measured and recorded. 2. The calorimeter is filled about half way with water. 3. The mass of the half-filled calorimeter is measured and recorded. 4. The mass of the water in the calorimeter is now calculated. 5. The temperature of the water in the calorimeter is measured. 6. A metal sample is selected from the available samples 7. The mass of the

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sherif Abdelhamid, Virginia Military Institute; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

Metaphor F-M Perceptual metaphor F-M-P Figurative Language F Lexicalized metaphor F-M-L Personification F-P Simile F-S Synecdoche F-Y Metonymy F-M Analogy F-A Question S-Q Illustrative S-E Teaching Style S Example Imagination S-I Repetition

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alex Daniel Edgcomb, University of California, Riverside; Frank Vahid, University of California, Riverside; Roman Lysecky, University of Arizona; Andre Knoesen, University of California, Davis; Rajeevan Amirtharajah, University of California, Davis; Mary Lou Dorf, University of Michigan, Ann Arbor

Tagged Divisions

Computers in Education

Peer Instruction: A Study of Four Computer Science Courses. Proceeding of the 44th ACM technical symposium on Computer science education. ACM, 2013.[17] OpenDSA: Open Source Interactive Data Structures and Algorithms. http://algoviz.org/OpenDSA/. February 2015.[18] Open Learning Initiative at Carnegie Mellon University. http://oli.cmu.edu/. February 2015.[19] Senack, E. Fixing the Broken Textbook Market. U.S. Public Interest Research Group, Student PIRG, January 2014.[20] Simon, B., S. Esper, L. Porter, and Q. Cutts. Student Experience in a Student- Centered Peer Instruction Classroom. Proceedings of the ninth annual international

Conference Session

Instrumentation and Laboratory Systems

Collection

2006 Annual Conference & Exposition

Authors

Roxanne Toto, Pennsylvania State University; Mark Wharton, Pennsylvania State University; John Cimbala, Pennsylvania State University; John Wise, Pennsylvania State University

Tagged Divisions

Computers in Education

- (2) It was better when the instructor used the Tablet PC in class Q2. Why? (user had space to elaborate) Q. 3 What effect did the instructor's use of the Tablet PC have on your attention to the lecture materials? - (1) I paid much less attention - (2) I paid a little less attention - (3) There was no effect - (4) I paid a little more attention - (5) I paid much more attention Q.4 Why (user had space to elaborate) Page 11.973.4Figure 1

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Man Wang, Michigan Technological University; Jun Tao, Michigan Technological University; Chaoli Wang, Michigan Technological University; Ching-Kuang Shene, Michigan Technological University; Seung Hyun Kim, Michigan Technological University

Tagged Divisions

Computers in Education

with MANOVASince similar questions were grouped together (Section 4.2), student ratings to questions of thesame group may be correlated, and MANOVA (Multivariate ANOVA) rather than ANOVA wasused to perform significance tests. For each group of questions, we investigated the significanceof mean difference between EECS and ME, between UG and Grad, and between MEundergraduate students (MEUG) and ME graduate students (MEG) by applying MANOVAusing the Wilk’s Lambda test. Although MANOVA requires that the samples are normallydistributed and with similar variances and covariances, violating these conditions does not causemuch harm [13,14].The null hypothesis for question group Q = {q0, q1, …, qn}, where the qi’s are questions, betweentwo student

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette; Saira Anwar, University of Florida; Muhsin Menekse, Purdue University at West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

. Kinshuk, “Augmented Reality Trends in Education: A Systematic Review of Research and Applications,” Educ. Technol. Soc., vol. 17, pp. 133–149, Oct. 2014.[17] E. N. Asiimwe and Å. Grönlund, “MLCMS actual use, perceived use, and experiences of use,” Int. J. Educ. Dev. Using Inf. Commun. Technol., vol. 11, no. 1, pp. 101–121, 2015.[18] S. Dart, S. Cunningham-Nelson, and L. Dawes, “Understanding student perceptions of worked example videos through the technology acceptance model,” Comput. Appl. Eng. Educ., vol. 28, no. 5, pp. 1278–1290, Sep. 2020, doi: 10.1002/cae.22301.[19] X.-F. Lin, C. Deng, Q. Hu, and C.-C. Tsai, “Chinese undergraduate students’ perceptions of mobile learning: Conceptions, learning profiles, and approaches

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Amber Shanice Solomon, Clemson University; Sekou L Remy, Clemson University

Tagged Divisions

Computers in Education

cloud landscape described, categorized, and compared - by Johan Den Haan. Retrieved February 1, 2015, from http://www.theenterprisearchitect.eu/blog/2013/10/12/the-cloud-landscape-described- categorized-and-compared/[5] Dong, B., Zheng, Q., Yang, J., Li, H., Qiao, M. 2009. An E-learning Ecosystem Based on Cloud Computing Infrastructure. Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on , vol., no., pp.125,127, 15-17.[6] Education Solutions. Retrieved February 2, 2015, from http://microsoft.com/education/en- us/solutions/Pages/cloud_computing.aspx[7] Guoli, Z., Wanjun, L. 2010. The applied research of cloud computing platform architecture in the E-Learning area. Computer and Automation

Conference Session

Special Session on Fixed-Point Education

Collection

2007 Annual Conference & Exposition

Authors

Cameron Wright, University of Wyoming; Thad Welch, Boise State University; Michael Morrow, University of Wisconsin-Madison; Gerald Vineyard, U.S. Naval Academy

Tagged Divisions

Computers in Education

well.Once they are comfortable with FSK, we have found they are far more ready to understand otherdigital communication topics. Note that CommDSK, also a part of winDSK6, allows students toexperiment in real-time with BPSK, QPSK, 8-PSK, 16-PSK, 8-QAM, and 16-QAM along withtopics such as bit shaping, I/Q imbalance, channel noise, etc.15We freely distribute the winDSK6 software for educational, non-profit use, and invite user sugges-tions for improvement. See http://eceserv0.ece.wisc.edu/ morrow/software/. Interested parties arealso invited to contact the authors via e-mail. Page 12.45.9References [1] T. B. Welch, C. H. G. Wright, and M. G. Morrow