Conference Session

Computers in Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Shahnam Navaee, Georgia Southern University

Tagged Divisions

Computers in Education

-sketched drawings. Theinstructor can use these tools effectively to generate and discuss the correct solutions for theassigned exercises to better guide the students in developing solutions for other problems. Thisapproach to teaching an Engineering Graphics course can be used along-side other traditionalinstructional techniques to further enhance the students’ performance in the course. Page 11.583.10Bibliography1. Navaee, S., “Use of WebCT in Delivering Instructions in Engineering,” Proceedings of the ASEE Annual Conference, Albuquerque, New Mexico, 2001.2. Navaee, S., Das, N.K., “Utilization of MATLAB in Structural Analysis,” Proceedings of the

Conference Session

CoED General Technical Session II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Christopher R. Carroll, University of Minnesota, Duluth

Tagged Divisions

Computers in Education

design.ProblemDesigning digital circuits can be an easy, mechanical exercise, once the basics are mastered.After all, it’s just a matter of getting all the 1’s and 0’s in the right place at the right time, andeven if you guess at the answer, you have a 50% chance of being correct, right? That is thereason that automating the design process through hardware description languages and softwarethat reads those languages to configure programmable logic devices has been so successful. Onthe surface, everything is cookbook and easy. Complex systems are assembled by replicatinglots of simple circuits, a process at which digital computers excel. Circuits designed by studentsin the lab for an introductory digital circuits course fall into this category of design. Once

Conference Session

Computational Tools and Simulation I

Collection

2010 Annual Conference & Exposition

Authors

Arnaldo Mazzei, Kettering University; Richard Scott, University of Michigan

Tagged Divisions

Computers in Education

(16)The linear natural frequencies and mode shapes can be found by assuming solution forms: λ1 ? A sin ∗ s Τ + , λ 2 ? B sin ∗ s Τ + (17)Substituting into equations (16) gives: A 1 − χ / s 2  − B ] /χ _ ? 0 A ] /χ _ − B 1 − χ / s 2  ? 0 (18)For non-zero solutions, the determinant of the coefficients must be zero. This gives a polynomialin s , from which the natural frequencies can be obtained. Equations (18) give the associatedmode shapes

Conference Session

Computers in Education General Technical Session II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Deborah Walter, Rose-Hulman Institute of Technology

Tagged Divisions

Computers in Education

on the inter-relationship between theory andpractical experimentation.It‟s commonly accepted that laboratory exercises are a critical component to developingengineering skills. Lab classes represent a significant portion of curricula of all engineeringdisciplines. Lab exercises in introductory courses are commonly designed to illustrate anddemonstrate known concepts or scientific laws. Students also learn practical skills associatedwith the measurements techniques and experience in the use of modern instrumentation. Othergoals of the lab experience are to sharpen observational skills, work in teams, and develop acapacity for independent learning by encouraging students to make self-directed inquires andexplorations. Research in how students

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

A.T.M. Golam Bari, University of South Florida; Alessio Gaspar, University of South Florida; R. Paul Wiegand, University of Central Florida, School of Modeling, Simulation, & Training; Dmytro Vitel; Kok Cheng Tan; Stephen John Kozakoff, University of South Florida

Tagged Divisions

Computers in Education

displays “Welcome to Java”p u b l i c c l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ; }}After applying the above transforms in program 5 and shuffling the valid and invalid line ofcodes, we get the following Parsons puzzle. System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) } }p u b l i c C l a s s Welcome { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) {p u b l i c c l a s s Welcome { System . o u t . p r i n t l n ( ” Welcome t o J a v a ! ” ) ;p u b l i c s t a t i c c h a r main ( S t r i n g [ ] a r g s ) {Similarly, P P2 is mapped into a different Parsons puzzle, using the same mapping process

Conference Session

Computers in Education 8 - Video Technology

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Dule Shu, Carnegie Mellon University; Christopher Doss, RAND Corporation; Jared Mondschein, RAND Corporation; Denise Kopecky, Challenger Center; Valerie A. Fitton-Kane, Challenger Center; Lance Bush, Challenger Center; Conrad Tucker, Carnegie Mellon University

Tagged Divisions

Computers in Education

illustrations still improve students’ learning from text,” Educational psychology review, vol. 14, no. 1, pp. 5–26, 2002.[11] W. R. Tan, C. S. Chan, H. E. Aguirre, and K. Tanaka, “ArtGAN: Artwork synthesis with conditional categorical GANs,” in 2017 IEEE International Conference on Image Processing (ICIP), 2017, pp. 3760–3764.[12] D. Shu et al., “3D Design Using Generative Adversarial Networks and Physics-based Validation,” 2019.[13] C. E. Lopez, J. Cunningham, O. Ashour, and C. S. Tucker, “Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments,” Journal of Computing and Information Science in Engineering, pp. 1–33, 2020.[14] A. Jordan, “On discriminative vs. generative classifiers: A comparison

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nabeel Alzahrani, University of California, Riverside; Frank Vahid, University of California, Riverside; Alex Daniel Edgcomb, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education

, probably to see the impact on output. We attribute this attempt to the incorrect left-side variable error. ● 1 min later, the student adds a cout of r as well, probably to make sure r's value is as expected. We again attribute this attempt to the left-side error. ● 1 min later, the student changes the left-side to area. We attribute to the left-side error, which is now fixed. ● In 5 submissions over the next 9 minutes, the student tries changing line 2's expression to PI * 2 * r, then 2 * r * PI, then PI * (r * 2), then PI * r * 2.0, and finally PI * r * r.Humans can recognize what the errors were, and can attribute 3 attempts and 3 minutes to solvethe left-side error and 5 attempts and 9 minutes to the squaring error. Most

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Biswanath Samanta, Georgia Southern University; Jonathan Gregory Turner, Georgia Southern University

Tagged Divisions

Computers in Education

x2 State 20 Cart Position (mm) 15 Cart Position 10 5 0 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 Time (s)Figure 2: Cart position vs. time data from bump testEquation 2 was used to calculate the value of k from the collected data, where xss represents thesteady state position of the cart and Vin is the voltage applied

Conference Session

Hardware Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Christopher R. Carroll, University of Minnesota, Duluth

Tagged Divisions

Computers in Education

Digital Electronics course.The secret to presenting digital circuits successfully to students who have no technicalbackground is to avoid references to electricity or computers and stick purely with the 1’s and0’s. In such a setting, digital circuits are just implementations of mathematical expressions.There are no “volts” or “bytes” or anything that might confuse the simplicity of 1’s and 0’s. Bytreating digital circuits simply as implementations of mathematical expressions, and treatingwires as just pencil lines that connect logical elements in drawings, students can learn to designand build digital circuits comfortably.This paper provides applications of a lab station design that has been disclosed in an earlierASEE paper1, and discusses

Conference Session

Computational Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Murat Tanyel, Geneva College

Tagged Divisions

Computers in Education

engineering curriculum. Dr. Tanyel received his B. S. degree in electrical engineering from Boazii Uni- versity, Istanbul, Turkey, his M. S. degree in electrical engineering from Bucknell University, Lewisburg, PA and his Ph. D. in biomedical engineering from Drexel University, Philadelphia, PA. Page 22.1204.1 c American Society for Engineering Education, 2011 Putting Bells & Whistles on DSP Toolkit of LabVIEWAbstractMost Digital Signal Processing (DSP) courses rely heavily on MATLAB and/or C, representingthe state of the art in textual programming, for their standard computer tools

Conference Session

Tablet PC use in Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Shreya Kothaneth, Virginia Tech; Catherine T. Amelink, Virginia Tech; Glenda R. Scales, Virginia Tech

Tagged Divisions

Computers in Education

introductory courses offered by the department. A qualitativeinvestigation revealed that ENGE‟s faculty members not only readily adopted the tablet PC buthave also helped faculty members outside of their department learn how to effectively use theTablet. Some of the faculty members within this department are also considered to be championsof other forms of instructional technologies. The COE has been finding it challenging to getother departments to wholeheartedly accept the tablet PC like ENGE did and are using the resultsof this study to assist in identifying strategies that can assist with greater diffusion ofinstructional technology across departments.IntroductionThe College of Engineering (COE) at Virginia Tech is considered to be a forerunner

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

David N Raizen, UMES; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore; Madhumi Mitra Ph.D, University of Maryland, Eastern Shore

Tagged Divisions

Computers in Education

Su ur -S -S -S -S S t-S

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Wendi M. Kappers, Embry-Riddle Aeronautical University; Stephanie Cutler, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

collaborative administration and industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Science (CS), Engineering (E), Mathematics (M), and Science (S). Currently, Dr. Kappers is the fulltime Di- rector of the Rothwell Center for Teaching and Learning Excellence Worldwide Campus (CTLE – W) for Embry-Riddle Aeronautical University. In addition, she holds Adjunct Assistant Professor status in the College of Arts and Sciences, Worldwide Campus, teaching RSCH 202 – Introduction to Research Methods, and in the College of Engineering, Daytona Beach Campus, teaching CS120 – Introduction to Computing in Aviation. Both positions allow her to stay focused upon

Conference Session

Computers in Education 3 - Modulus I

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Larysa Nadolny, Iowa State University of Science and Technology; Md Imtiajul Alam, Iowa State University of Science and Technology; Michael Geoffrey Brown, Iowa State University of Science and Technology; Monica H. Lamm, Iowa State University of Science and Technology

Tagged Divisions

Computers in Education

. In contrast to the concept map view, the topics provides a rich environment toqualitatively examine related data.Data CollectionGaming research papers in engineering education were infrequent in the early 2000’s 10 9 , andprior to 2006, there were few abstracts published in the ASEE annual conference proceedings.Therefore, the data search included all ASEE annual conference papers from 2006-2020 using theASEE Conference Proceedings Search.The search terms included game, gaming, gamer, gamify,and gamification in the title of the paper. Relevant paper abstracts and metadata were included inthe sample. We reviewed each abstract and excluded papers on topics not related to games andlearning, such as game theory or sports, and papers without

Conference Session

Computers in Education 9 - Technology 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mahgol Nowparvar, Pennsylvania State University ; Xing Chen, Pennsylvania State University ; Omar Ashour, Pennsylvania State University ; Sabahattin Gokhan Ozden, Pennsylvania State University Abington; Ashkan Negahban, Pennsylvania State University

Tagged Divisions

Computers in Education

Science Foundation under Grant No.2000599. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. The preliminary stages of this work are supported by funds from the Office of theExecutive Vice President and Provost at The Pennsylvania State University as part theuniversity’s strategic plan related to transforming education.References[1] D. R. Brodeur, P. W. Young, and K. B. Blair, “Problem-based learning in aerospace engineering education,” ASEE Annu. Conf. Proc.,2002, doi: 10.18260/1-2-10974.[2] J. T. Bell and H. S. Fogler, “Implementing virtual reality laboratory accidents using the half-life game

Conference Session

Computers in Education Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Norman Moses Joseph, Purdue University; David M. Whittinghill, Purdue University, West Lafayette; Kathleen C. Howell, Purdue University, West Lafayette; David William Braun, Purdue University

Tagged Divisions

Computers in Education

. In addition, the study canact as an excellent test bed for revealing any limitations or bugs that may exist in the software.That we will be checking for statistically significant differences in the change in pretest andposttest scores between the three groups for this particular educational intervention differentiatesthis study from those currently seen in the existing body of literature. We are attempting todifferentiate between traditional lecture material, the use of visualization software alone, and theuse of the visualization software with stereoscopic effect. We expect to publish the results of thisstudy as soon as they become available.References1. Kim, J., Park, S., Lee, H., Yuk, K., & Lee, H. (2001). Virtual Reality

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Gonca Altuger-Genc, State University of New York, Farmingdale

Tagged Divisions

Computers in Education

  is  15  cm,  V1  velocity  is  5m/s  and  V2  velocity  is   2m/s.      b)  What  is  the  D2  diameter,  if  the  D1   diameter  is  10  cm,  V1  velocity  is  5m/s,  and  V2   velocity  is  2m/s. Figure 4. Module 2 – The Continuity Principle and the Module 2 assignmentModule 3 – Fluid Pressure Measurement & ManometersModule 3 reviews the concept of fluid pressure calculation in systems with manometers. For thesimulation setup, a well type manometer is used. The simulation is set-up in a way so that it isinteractive and students can select a

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John C Nesbit, Simon Fraser University; Li Liu, Simon Fraser University ; Qing Liu, Simon Fraser University; Olusola O Adesope, Washington State University-Pullman

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

) critically evaluating the state of research andrecommending improvements, and (c) identifying neglected topics that require the attention ofresearchers. Our completed systematic review will contribute in each of these three areas.Bibliography1. Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A Page 26.1754.10 meta-analytic survey. Journal of Educational Psychology, 106, 901-918.2. Sabo, K. E., Atkinson, R. K., Barrus, A. L., Joseph, S. S., & Perez, R. S. (2013). Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in

Conference Session

Computational Tools and Simulation III

Collection

2010 Annual Conference & Exposition

Authors

Stephen Crown, University of Texas, Pan American; Arturo Fuentes, University of Texas, Pan American; Robert Jones, University of Texas, Pan American; Rajiv Nambiar, University of Texas, Pan American; Deborah Crown, San Jose State University

Tagged Divisions

Computers in Education

development of achat-bot built on student’s questions and understandings and perceptions of course contentprovides the instructor with a unique look onto the minds of students. With the oversight anddirection of the instructor and with the aid of students a true content specific engineeringartificial intelligence may be created. Through this process we may better understand thecomplex learning process of our students. Page 15.181.12Bibliography1. S. Crown, "Using Web-Based Games to Enhance the Teaching of Engineering Graphics" Proceedings of theIASTED International Conference, Computers and Advanced Technology in Education. Philadelphia, PA. May1999

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Edward E. Anderson, Texas Tech University

Tagged Divisions

Computers in Education

reviewed. Review of Nodes 3 and 1 is marginal in thesense that a review is determined by the context of the current node and its assessment. Forexample, node 8 is not directly related to node 3, but is indirectly related through node 6 and nodirect review is needed. Node 1, like nodes 5 and 7, is on the edge of this knowledge domainand no assessment can be made beyond this node(s). As additional knowledge domains becomeavailable, they can be interconnected through appropriate links. Figure 5: Typical KnowNet Student Review Scenario (R - Reviewed and N = Not Reviewed)This brute force approach to an intelligence tutor assures that any missing knowledge will becovered through the search. But it is not terribly efficient as demonstrated by the shaded

Conference Session

Work-in-Progress Posters: Computers in Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ting-Ting Wu, National Yunlin University of Science and Technology; Yueh-Min Ray Huang, National Cheng-Kung University

Tagged Divisions

Computers in Education

work was supported in part by the Ministry of Science and Technology (MOST),Taiwan, ROC, under Grant MOST 103-2511-S-224 -004 -MY3, MOST 104-2511-S-224-003-MY3, and MOST 105-2628-S-224-001-MY3.Reference 1. Torrance, E. P. (1963). Education and the creative potential. Minneapolis: University of Minnesota Press. 2. Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444-454. doi: 10.1037/h0063487. 3. Guilford, J. P. (1967). Creativity: Yesterday, Today and Tomorrow. The Journal of Creative Behavior, 1(1), 3-14. doi: 10.1002/j.2162-6057.1967.tb00002.x.4. Mackinnon, D. W. (1965). Personality and the realization of creative potential. American

Conference Session

CoED Mechanical Engineering Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joseph Michael Mahoney, Penn State Berks ; Rungun Nathan, Pennsylvania State University, Berks Campus

Tagged Divisions

Computers in Education

and recorded these as the naturalfrequencies, again assuming no damping in the system. The values from the multiple trials wereaveraged together to find the experimental values.Sample Student WorkUsing the theory, the dimensions of the bar and the material properties, students found the naturalfrequencies for principal axes designated as 𝑥 and 𝑧 in Table 1. Table 1: Analytically-Determined Natural Frequencies 𝜔𝑛 x-axis (rad/s) z-axis (rad/s) 1 617 494 2 1702 1361 3 3336 2669 4 5514

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Hon Jie Teo, Virginia Tech

Tagged Divisions

Computers in Education

: Envisioning a Research Discipline and a Domain of Practice. In Proceedings of the LAK ‘11 (Vancouver, Canada, April 29-May 02, 2012).[9] Haythornthwaite, C. 2011. Learning networks, crowds and communities. In Proceedings LAK ‘11, (Banff, Alberta, Canada, February 27 – March 01, 2011).[10] Suthers, D., Hoppe, H. U., Laat, M. and Simon Buckingham, S. (2012). Connecting levels and methods of analysis in networked learning communities. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, (Vancouver, British Columbia, Canada, April 29 – May 02, 2012). LAK '12. ACM, New York, NY, 11-13.[11] Ferguson, R. and Buckingham Shum, S. 2012. Social learning analytics: five approaches. In Proceedings

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University; Samy El-Tawab, James Madison University

Tagged Divisions

Computers in Education

Computer Science (CS) and Integrated Science andTechnology (ISAT) departments who provided critical insight regarding the design of the coursewhich could address the issue of mobile technology development for social good.9. References[1]. Burd, B., Barros, J. a. P., Johnson, C., Kurkovsky, S., Rosenbloom, A., and Tillman, N.“Educating for mobile 
computing: Addressing the new challenges”. in ITiCSE-WGR 12, 2012,pp. 51-63[2]. Blumenfeld, P.C., Soloway, E., Marx, R.W., Krajcik, J.S., Guzdial, M., and Palincsar, A.“Motivating project-based learning: Sustaining the doing, supporting the learning”, EducationalPsychologist, Vol. 26 No. 3, 1991, pp. 369-398[3]. Thomas, A. and Zyl, A. V., Understanding of and attitudes to academic ethics among first

Conference Session

COED: Mechanical Engineering-related Topics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Peter L. Schmidt PE, University of Evansville; Philip Andrew Lax, University Of Evansville

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

code for creation and analysis of a cam profile.%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Program Name: CamAnalysis%%Program Description: Analyzes and Creates Cam Profile%%Inputs: Number of Zones and the Parametersassociated with% each%%Outputs: S,V,A,J Curves, Force, Power, Torque,Pressure Angle,% and Cam Profile Plots. Tabular Data Sets.Max Values.%%Date Created: 11-5-2016%%Revisions:%%0) 11-5-2016 Creation%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%clearclc%Parameters%s_harmonic = @(h,theta,Beta,Beta_time) h/2*(1-cos(pi*theta/Beta));v_harmonic = @(h,theta,Beta,Beta_time)pi*h/2/Beta_time

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University, West Lafayette; Kerrie A. Douglas, Purdue University, West Lafayette; Tarun Yellamraju, Purdue University, West Lafayette; Mireille Boutin, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Group 2 identified by applying the separation criteria RV249 and RV242). Note that while eachof these separation criteria identifies distinct groups, the group characteristics are very different. (a) (b) (c) Figure 3: For course 1’s top two separation criteria (RV249 and RV242 shown in (a) and (c), respectively), the response pattern statistics for the applied science course result in distinct response groups (labeled Group 1 and Group 2, matching the labels from Figure 2). The dimensions that are unaffected by the criteria (i.e., personal interest and university application for RV249; fit with lifestyle for RV242) remain consistent (within

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

Kevin James Gucwa, University of California, Davis; Harry H. Cheng, University of California, Davis

Tagged Divisions

Computers in Education

completeprogram, as shown in Program 1, is written which moves the robot forward.#include CLinkbotI r o b o t ;double d i s t a n c e = 5 , r a d i u s = 1 . 7 5 ;robot . connect ( ) ;r o b o t . moveDistance ( d i s t a n c e , r a d i u s ) ; Program 1: Single robot control code.Only five lines of code are necessary to connect to the robot and move it forward. The firstline is C++ syntax to allow the code to know about all of the functions available to controlthe robot. The second line creates the robot within the code so that the functions can Page 24.1058.10interact with the correct robot. Variables are created to store

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger, Embry-Riddle Aeronautical University, Daytona Beach

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Large Classes. in American Society for Engineering Education 2014 National Conference & Exposition (American Society for Engineering Education, 2014).2. ASCE Policy Statement 351 - Peer Review. (2010). at 3. Verleger, M., Diefes-Dux, H. A., Ohland, M. W., Besterfield-Sacre, M. & Brophy, S. Challenges to Informed Peer Review Matching Algorithms. J. Eng. Educ. 99, 397–408 (2010).4. Burnham, J. C. The Evolution of Editorial Peer Review. JAMA J. Am. Med. Assoc. 263, 1323–1329 (1990).5. Bohannon, J. Who’s afraid of peer review? Science 342, 60–5 (2013).6. Wolfe-Simon, F. et al. A Bacterium That Can Grow by Using Arsenic Instead of Phosphorus. Science (80-. ). 332, 1163–1166 (2011).7. Wolfe

Conference Session

Issues in Computer Education-HDL

Collection

2007 Annual Conference & Exposition

Authors

Jonathan Hill, University of Hartford

Tagged Divisions

Computers in Education

,assembly language, and encoding. The nod4 architecture has an 8-bit data path and an 8-bitaddress bus. From the programmer’s point of view nod4 has the following CPU registers • A – accumulator • C – condition code register (Z,C,I) • S – stack pointer • X – index register • PC – program address counterThe A register is primarily for handling data. The C register contains the zero flag (Z),carry/borrow flag (C), and the interrupt enable flag (I). The stack pointer maintains the stackdata structure. The X register is a fairly general purpose index register. The program counter(PC) can be thought of as referring to the next instruction however due to pre-fetching has a twistdiscussed later, that the assembly language programmer is

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Johne' M Parker, University of Kentucky; Stephen L. Canfield, Tennessee Technological University; Sheikh Khaled Ghafoor, Tennesse Technological University; Kassy Moy Lum

Tagged Divisions

Computers in Education

laws to obtain the system model(i.e., ordinary differential equation) for one and two degree of freedom systems (this activity isidentical to initial HW assignments in previous offerings) and manually solve the system ofequations to determine the time response using Laplace transforms and partial fraction expansion(or the equivalent), for overdamped and underdamped cases/scenarios.  Activity 2: Time Response/Experimental determination of transfer function/Model Verification(Chapter 4)  Students will investigate the transient and equilibrium responses of the systems investigatedin Activity 1 using the final value theorem and system time constant(s) or damping ratio andnatural frequency values, similar to activities conducted in prior course