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The Design Process Of A Chemistry Video Game

Conference Session: Programming for Engineering Students
Collection: 2006 Annual Conference & Exposition
Authors: Naveen Nattam, Purdue University; Kermin Martinez-Hernandez, Purdue University; Doug Danforth, Purdue University; Steve Emberton, Purdue University; Ryan Pedela, Purdue University; Eugene Elkin, Purdue University; Carlos Morales, Purdue University; Kellen Maicher, Purdue University; Gabriela Weaver, Purdue University
Tagged Divisions: Computers in Education

. and Bavelier, D. (2003). Action video game modifies visual selectiveattention. Nature. 423, 534-537. Keighley, G.(n.d.). The perpetual observer. Gamespot. Retrieved December 08, 2003from http://www.gamespot.com/gamespot/features/pc/simsonline/Mayer, R.E. and Sims, V. K. (1994). For whom is a picture worth a thousand words?Extensions of a dual-coding theory of multimedia learning. Journal of EducationalPsychology, 86(3), 389-401.Merzenich, M. M., Wright, B. A., Jenkins, W., Xerri, C., Byl, N., Miller, S., and Tallal,P. (2002). Cortical plasticity underlying perceptual, motor, and cognitive skilldevelopment: Implications for neurorehabilitation. In Johnson, M. H. and Munakata, Y.(Eds.), Brain development and cognition: A reader. Malden, MA

Relevance Score: 0.40406865

Peer Assessment Methodologies For A Laboratory Based Course

Conference Session: Embedded Computing
Collection: 2006 Annual Conference & Exposition
Authors: Rathika Rajaravivarma, Central CT State University
Tagged Divisions: Computers in Education

teams.Bibliography 1. ACM/IEEE Computing Committee on Computer Science, Computing Curricula 2001, December 15, 2001. 2. Allen B. Tucker, Strategic Directions in Computer Science Education, Special ACM 50th-anniversary issue: strategic directions in computing research, v. 28, n. 4, p 836 – 845, December 1996. 3. Guidelines on Learning that Inform Teaching at UNSW, October 2003, http://www.unsw.adfa.edu.au/units/ets/flexed/downloads/FullLngTchg.pdf, (Retrieved January, 2006) 4. James F. Kurose and Keith W. Ross, 2005, Computer Networking: A Top-Down Approach Featuring the Internet, 3rd ed., Addison Wesley. 5. “Ethereal: Network Protocol Analyzer”, http://www.ethereal.com/, 2006. 6. Research into Practice

Relevance Score: 0.40309644

Online Learning Environment Design: A Heuristic Evaluation

Conference Session: Online Learning
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Emily A Hildebrand, Arizona State University ; Jennifer M Bekki, Arizona State University; Bianca L. Bernstein, Arizona State University; Caroline J Harrison, Arizona State University
Tagged Divisions: Computers in Education

Engineering.Cambridge, MA: Academic Press Professional.10. Quintana, C., Krajcik, J., & Soloway, E. (2003). A Framework for Understanding the Development of Educational Software. In Jacko, J.A., & Sears, A. (Eds.), The Human-Computer Interaction Handbook, (823- 834). Mahwah, NJ: Lawrence Erlbaum Associates.11. Nielsen, J. (1992). Finding Usability Problems through Heursitic Evaluation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 373-380.12. Nielsen, J. (1993). Usability Engineering.Cambridge, MA: Academic Press Professional.13. Bernstein, B. L. (2011). Managing barriers and building supports in science and engineering doctoral programs: Conceptual underpinnings for a new online training program for women

Relevance Score: 0.40309644

Can undergraduates learn programming with a “Virtual Professor”? Findings from a pilot implementation of a blended instructional strategy

Conference Session: Computer Based Grading and Learning Styles
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Dan Cernusca, Missouri University of Science & Technology; Clayton E Price, Missouri University of Science and Technology
Tagged Divisions: Computers in Education

introduction to programming with C++. Theimplemented strategy blended pre-recorded online lectures and homework assignments, with oneweekly optional face-to-face meeting. The same instructor taught both the blended instructionand the traditional face-to-face lecture. The focus of this study was twofold: a) determinepotential negative impact of the blended format, and b) identify the major predictors of finalperformance in this course. A one-way ANOVA analysis indicated no statistically significantdifferences in final course score between the control and the treatment groups. The analysis of aproposed path analysis model showed that self-efficacy, perceived engagement and perceiveddifficulty are significant predictors of students’ final performance in

Relevance Score: 0.40303442

Teaching a First Course in Human-Robot Interaction

Conference Session: Course Development / Curriculum Development
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Carlotta A. Berry, Rose-Hulman Institute of Technology
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Conga LineThe fourth lab was also based upon light sensing and required the students to implementBraitenberg vehicles. This was a demonstration of reactive control and creating photophobic andphotophilic animal-like behaviors based upon excitatory and inhibitory connections between thesensors and motors. Based upon the wiring connections, the robots would demonstrate love,aggression, fear, and explorer behaviors. The wiring and the lab demonstration images areshown in Figures 3 and 4. (a) (b) (c) (d) Figure 3: Valentino Braitenberg Vehicles Figure 4: Braitenberg Vehicles LabIn the fifth lab, the students were required

Relevance Score: 0.40258458

One Step Beyond: Lecturing With A Tablet Pc

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

; Whitesell, M. (2004). Using Pen-Based Computers Across the Compoouter Science Curriculum. Paper presented at the SIGCSE, Norfolk, Virginia.7. Anderson, R. J., Hoyer, C., Wolfman, S. A., & Anderson, R. (2004). A Study of Digital Ink in Lecture Presentation. Paper presented at the CHI, Vienna, Austria.8. Jennings, S. E., McCuller, M. Z., & Stephan, F. (2004). Meeting the Challenges of Grading Online Business Communnication Assignments. Paper presented at the Association for Business Commincation.9. Popyack, J. L., Char, B., Zoski, P., Cera, C., & Lass, R. (2002, November 2-4, 2005). Pen-Based Electronic Grading of Online Student Submissions. Paper presented at the Syllabus fall2002 Boston Area

Relevance Score: 0.40207276

Developing Undergraduate FPGA Curriculum Using Altium Software and Hardware

Conference Session: Computers in the Laboratory
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Erik A. Mayer, Pittsburg State University
Tagged Divisions: Computers in Education

Page 25.438.9 a. an ability to select and apply the knowledge, techniques, skills, and modern tools of the discipline to broadly-defined engineering technology activities; b. an ability to select and apply a knowledge of mathematics, science, engineering, and technology to engineering technology problems that require the application of principles and applied procedures or methodologies; c. an ability to conduct standard tests and measurements; to conduct, analyze, and interpret experiments; and to apply experimental results to improve processes; d. an ability to design systems, components, or processes for broadly-defined engineering technology problems appropriate to program educational objectives; f. an ability

Relevance Score: 0.39633796

A Comparative Analysis of Student Performance and Face-to-Face Engineering Courses

Conference Session: Computers in Education 4 - Online and Distributed Learning 1
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Sunay Palsole, Texas A&M University; Jeff Chernosky, Texas A&M University; Randy McDonald, Texas A&M University Engineering
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

/08923640701341679[12] J. Lee, “An exploratory study of effective online learning: Assessing satisfaction levels ofgraduate students of mathematics education associated with human and design factors of anonline course,” International Review of Research in Open and Distance Learning, vol. 15, no. 1,pp. 111–132, 2014, doi: 10.19173/irrodl.v15i1.1638[13] L. Chen and D. Ph, “A model for effective online instructional design,” LiteracyInformation and Computer Education Journal, vol. 6, no. 2, pp. 1551–1554, 2015.[14] P. Ralston-Berg, J. Buckenmeyer, C. Barczyk, and E. Hixon, “Students’ perceptions ofonline course quality: How do they measure up to the research?” Internet Learning Journal, vol.4, no. 1, pp. 38–55, 2015.[15] B. Thornton, J. Demps, and A. Jadav

Relevance Score: 0.39353928

Investigation of Technology-based Student Interaction for Social Learning in Online Courses

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

. Retrieved 03/05/2021 https://coi.athabascau.ca/coi- model/5. Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational Research, 79(3), 1243-12896. Shelton, B. E., Hung, J. L., & Lowenthal, P. R. (2017). Predicting student success by modeling student interaction in asynchronous online courses. Distance Education, 38(1), 59-69.7. Picciano, A. G. (2002). Beyond student perceptions: Issues of interaction, presence, and performance in an online course. Journal of Asynchronous learning networks, 6(1), 21-40.8. Sher, A. (2009). Assessing the relationship of student-instructor

Relevance Score: 0.39328703

Using Student Knowledge of Linear Systems Theory to Facilitate the Learning of Optical Engineering

Conference Session: Best of Computers in Education
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch III P.E., Boise State University; Michael G. Morrow, University of Wisconsin, Madison
Tagged Divisions: Computers in Education

), the John A. Curtis Lecture Award from the Computers in Education Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch III P.E., Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a

Relevance Score: 0.38870448

Real World Ultrasonic Signals and their Application in Teaching Signal Processing

Conference Session: CoED General Technical Session I
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Thad B. Welch, Boise State University; Cameron H.G. Wright P.E., University of Wyoming; Michael G. Morrow, University of Wisconsin, Madison
Tagged Divisions: Computers in Education

AC 2012-3630: REAL WORLD ULTRASONIC SIGNALS AND THEIR AP-PLICATION IN TEACHING SIGNAL PROCESSINGDr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender. He has been deployed in the At- lantic Ocean, Mediterranean Sea, and Arctic Ocean. From 1994-1997, he was an instructor and Assistant Professor teaching in the Electrical Engineering Department at the U.S. Air Force

Relevance Score: 0.38686848

Second Year of Using the Sidekick Basic Kit for TI LaunchPad with Elementary School Students

Conference Session: COED: Gamification and Introducing Students to Programming
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Tara N. Kimmey, Colorado STEM Academy; Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch, Boise State University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

Ellbogen Meritorious Classroom Teaching Award (2012), the Tau Beta Pi WY-A Undergraduate Teaching Award (2011), the IEEE UW Student Branch’s Outstanding Professor of the Year (2005 and 2008), the UW Mortar Board ”Top Prof” award (2005, 2007, and 2015), the Outstanding Teaching Award from the ASEE Rocky Mountain Section (2007), the John A. Curtis Lecture Award from the Computers in Education Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E

Relevance Score: 0.38651812

What is the Derivative of Music?

Conference Session: Computers in Education Division Technical Session 8: Modulus Topics
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Thad B. Welch, Boise State University; Cameron H. G. Wright P.E., University of Wyoming; Michael G. Morrow, University of Wisconsin, Madison
Tagged Divisions: Computers in Education

Paper ID #29426What is the Derivative of Music?Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender. He has deployed in the Atlantic Ocean, Mediterranean Sea, and the Arctic Ocean. From 1994-1997 he was an Instructor and Assistant Professor teaching in the Electrical

Relevance Score: 0.3863297

RT-DSP Using “See Through”

Conference Session: Best of Computers in Education Division
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch P.E., Boise State University; Michael G. Morrow, University of Wisconsin, Madison
Tagged Divisions: Computers in Education

Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch P.E., Boise State University Dr. Thad B. Welch, P.E., Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender

Relevance Score: 0.38568562

Lemons into Lemonade!

Conference Session: Computers in Education 3 - Modulus I
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Thad B. Welch, Boise State University; Cameron H. G. Wright P.E., University of Wyoming; Michael G. Morrow, University of Wisconsin - Madison
Tagged Divisions: Computers in Education

Paper ID #33207Lemons into Lemonade!Dr. Thad B. Welch, Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender. He has deployed in the Atlantic Ocean, Mediterranean Sea, and the Arctic Ocean. From 1994-1997 he was an Instructor and Assistant Professor teaching in the Electrical

Relevance Score: 0.38524505

Introducing High-Performance Computing to Undergraduate Students

Conference Session: Software and Programming
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Suxia Cui, Prairie View A&M University; Yonghui Wang, Prairie View A&M University; Lin Li, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University
Tagged Topics: Diversity
Tagged Divisions: Computers in Education

, and ET Departments Category ECE CS ET Female 62 37 17 African American 211 101 48 Hispanic 15 9 4 Total 265 127 54Leveraging a NSF funded Major Research Instrumentation project, an IBM iDataPlex HPCcluster was purchased and resides on campus at the College of Engineering as shown in Figure 1(a). There are several ongoing projects related to embedded systems, most of them are roboticsrelated. Figure 1 (b) illustrates one embedded HPC platform. It is an unmanned

Relevance Score: 0.38466868

Embedded System Education Curriculum Using TI SimpleLink Microcontrollers in Engineering Technology

Conference Session: Computers in Education Division Technical Session 3: Digital Learning Part I
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Byul Hur, Texas A&M University; Ana Elisa P. Goulart, Texas A&M University; Logan Porter, Texas A&M University; Nripendra Sarker, Texas A&M University; Mike Willey, Texas A&M University
Tagged Divisions: Computers in Education

Paper ID #30660Embedded System Education Curriculum using TI SimpleLinkMicrocontrollers in Engineering TechnologyDr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2017, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Assistant Professor. He worked as a postdoctoral associate from 2011 to 2016 at the University

Relevance Score: 0.38390404

DIME: A Dynamic Interactive Mathematical Expression Tool for STEM Education

Conference Session: Technical Session 9:Topics related to STEM
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Donald Joseph Beyette, Texas A&M University; Michael S. Rugh, Texas A&M University; Jason Lin, Texas A&M University; Xing Wang, Texas A&M University; Zelun Wang, Texas A&M University; Jyh C. Liu, Texas A&M University; Robert M. Capraro, Aggie STEM @ Texas A&M University
Tagged Divisions: Computers in Education

learning objective?)Each external weight is calculated by subtracting the score (e.g. importance, test, or quizzes)provided by the teacher from one, shown in equation (4). S is on an interval from [0-1]. 𝑊𝑛𝐸 = 1 − 𝑆 (4)Students who receive high scores will have lower external weights, as a perfect score of one willresult in an external weight of zero (𝑊𝑛𝐸 = 1 − 1 = 0). Thus, the core feature weight for a specificmathematical expression will decrease as students perform better in class and on exams. Figure 6: Map weight change exampleFigure 6 describes a simplified DIME map, where A, B, and C represent mathematical expressionswhere the student

Relevance Score: 0.37570193

Designing a Boolean Algebra Tool and Its Use in the Classroom

Conference Session: CoED General Technical Session II
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Howard Whitston, University of South Alabama; Adam Thomas Moore, University of South Alabama
Tagged Divisions: Computers in Education

of simplification is not as straightforward, and may be performed in a variety of ways.This is illustrated in Example 4-2 from Digital Systems 2. The equation from the example isz = A(~B)(~C) + A(~B)C + ABC.The tilde (~) is used to denote NOT, or negation. The NOT gate is shown in Figure 3. The NOTgate "inverts" the signal, so a HIGH becomes a LOW and a LOW becomes a HIGH. In theequation above, this means that the first term, A(~B)(~C) is HIGH when A is HIGH, B is LOWand C is LOW. Figure 3 – the NOT gate inverts its inputThe simplification of this formula is not as obvious as the first example. The first observation isthat the first two terms have the common factor A(~B). Using Theorem 13a, which states thatX(Y + Z

Relevance Score: 0.36379507

Enhancement of a Finite Element Analysis Course for Structural Engineering

Conference Session: Modeling and Simulation
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Shahnam Navaee, Georgia Southern University; Junsuk Kang, Georgia Southern University
Tagged Divisions: Computers in Education

) the cost of the package, and (b) the steep learning curve associated with thesoftware. Each one of these issues has been addressed in the project. It should be noted that eventhough the commercial cost for purchasing this package is relatively high, the Dassault Systemsoffers substantially discounted educational licenses of the full version of the software for classroomuse. Additionally, the student version of Abaqus can be downloaded free of charge from theDassault Systems website. The free student version of the software is the essentially the fullcommercial version, limited to handling models containing up to one thousand nodes. It is deemedthat this number of nodes is sufficient enough for the purpose of modeling a variety of

Relevance Score: 0.35766062

Work-in-Progress: Programming Concept Visualization Using Flash Animations

Conference Session: Computers in Education Division Poster Session
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Lin Li, Prairie View A&M University; Jaime Israel Juarez, Prairie View A&M University; Yonggao Yang, Prairie View A&M University
Tagged Divisions: Computers in Education

); (b) interactive animation and instant Page 25.1494.3comments/feedback. The first component is to review or present specific programming topics.The second one is to illustrate the concepts step by step. Audio can be integrated to emulate tutorexplanation. Students can interact with the animations to observe program running logic anddynamic memory change as if they were taking a tour inside the electronic computing procedure.Based on course levels, we categorized the modules for Computer Science I, Computer ScienceII, Data Structures (DS), and Programming Languages (PL). A list of the topics and associatedcourses is shown in Table 1. Many

Relevance Score: 0.35607132

Infusing Tablet Pcs And Interactive Learning Technology Into Computer Science Education To Enhance Student Learning

Conference Session: Tablet and Portable PCs for Education
Collection: 2010 Annual Conference & Exposition
Authors: Lin Li, Prairie View A&M University; Sherri Frizell, Prairie View A&M University; Yonggao Yang, Prairie View A&M University
Tagged Divisions: Computers in Education

provides a cost-effective andcomprehensive technology solution to address our instructional and student learning needs. Title: Code Analysis–what is the output of the following C/C++ program? Explain how you get it byanalyzing function and memories at program running time Sample Student Solution: see the analysis to the right of the program written in digital ink Page 15.737.4 #include using namespace std; int A=5; int fun(int &A, int B=3); int main( ) { int B, C; B=1; int &D=B; C = fun(B, A); cout << A << B << C << D << endl

Relevance Score: 0.35594288

Development of A Mechatronics Studio Course in Mechanical Engineering

Conference Session: Development of Computational Tools
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Biswanath Samanta, Georgia Southern University; Yong Zhu, Department of Mechanical Engineering, Georgia Southern University, Statesboro, GA 30458
Tagged Divisions: Computers in Education

Appendix A, Lab 1: Basic measurement and data presentation Notes Week 3 Basic electrical circuits and instrumentation, Quiz 1 Chap 2, 4 Lab 2: Basic circuits and instrumentation Week 4 Analog Signal Processing using Operational Amplifiers Chap 5 Lab 3: Basic operational amplifier circuits –Part A Week 5 Sensors, Quiz 2 Lab 4: Operational amplifier applications- Integrator, Chap 9 Differentiator- Part B Week 6 Sensors

Relevance Score: 0.35540727

A Performance Assessment Framework for Measuring Online Student Learning Outcomes

Conference Session: Online Learning
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Petronella A James-Okeke, Morgan State University; Craig J. Scott, Morgan State University; Yacob Astatke, Morgan State University; Jumoke Oluwakemi Ladeji-Osias, Morgan State University; LaDawn E. Partlow M. Eng., Morgan State University; Kofi Nyarko, Morgan State University
Tagged Divisions: Computers in Education

of mathematical and scientific statements (M, S) 4. Uses fundamental engineering principles to solve engineering related problems (E) b) an ability to design and conduct experiments as well as analyze and interpret results 1. Develops a hypothesis and a plan (experimental method) to evaluate it using engineering principles and practice. (D) 2. Collects data using software and electronic test and measurement equipment (C) 3. Analyzes results and components of the design using engineering models. (A) 4. Explains experimental results as they relate to theoretical results. (I) Page 23.88.5Creating

Relevance Score: 0.35388446

Using NetLogo to Simulate Building Occupancy of a University Building Environment

Conference Session: Technical Session 10: Simulation and Modeling
Collection: 2019 ASEE Annual Conference & Exposition
Authors: Sanish Rai, West Virginia University Institute of Technology; Thomas Keith Carter; Bimarsh Sharma
Tagged Divisions: Computers in Education

, where the black area represents the area wherepeople can walk, and the green area represents the walls or areas where people cannot walk. Thelayout mimics our Computer Science department where green areas are the closed rooms wherepeople do not go frequently and do not need to be simulated. In NetLogo, turtle are the agents thatcan move around so we will use it to create our occupants: instructors and student agents.Instructors will be positioned in a particular location (their office or a common area) and studentswill enter from an entrance seeking for an instructor to meet. After meeting, instructor studentswill leave the area. Instructors are represented in blue color with the human figure and students inred color. Figure 2 (b) shows a

Relevance Score: 0.353583

Mathcad For In Class Examples In A Random Processes Course

Conference Session: Computers in Education Poster Session
Collection: 2006 Annual Conference & Exposition
Authors: James Reising, University of Evansville
Tagged Divisions: Computers in Education

− xb f X ( x) = xe FX ( x) = 1 − e for x>0, b>0 bMaking use of the fact that1 solving the equation FY ( y ) = x for y as a function of x, where FY ( y ) is the cumulative distribution function for the random variable Y, allows one to generaterandom numbers y from uniformly distributed numbers x, 0 < x < 1. The Mathcad worksheetshown as Figure 11 illustrates this example and compares the results to theory