operation, experimental techniques and resulting data. Generalexperimental factors include systematic errors, and the correct interpretation of the role of errorsdue to instrumentation. Concepts specific to the characterization techniques themselves must alsobe mastered. For example, in SEM, the beam interaction volume affects the size of the sampledregion. For accurate EBSD results, the surface must be carefully prepared and free ofdeformation to avoid artifacts.The -Brass SystemThe present work derives from experiments performed as part of a graduate research project, Page 23.1345.4with the objective of characterizing alpha-brass (-brass), a
all adults) isprovided with a small number of Legos, randomly scooped from the master supply. The Legoshave a volume equivalent of approximately 75 ml or 1/3 cup. The Legos have also been alteredby sanding down the studs (or bumps) on about ½ the Legos. The purpose of the sanding is toweaken the connection between the Legos as the unaltered connection are strong and easily resistthe lateral loading of the tsunami wave. Participants usually spend between 5-10 minutesbuilding their structures. During this time the volunteers provide guidance as participants ask andremind participants about the building rules. Guidance is provided on an age/cognitiveappropriate manner, older children (age 9+) are firmly reminded of the rules, where
Paper ID #44863A Large Language Model Pipeline to Automate the Solution of CompetitiveProgramming ProblemsMr. Devang Jayachandran, Pennsylvania State University, Harrisburg, The Capital College Devang Jayachandran is currently a graduate student pursuing a Masters of Science in Computer Science at the Mathematics and Computer Science department in Penn State Harrisburg. Devang received his Bachelor’s of Engineering in Information Science from the National Institute of Engineering, Mysuru, India and then worked at JP Morgan Chase & Co, Bengaluru, India in the field of Natural Language Processing and Document Extraction.Dr
into one master list on Microsoft Excel. The journals and correspondingdatabases and descriptors were put into columns. The entries were combined for journalsappearing in multiple databases, including databases and descriptors (see Fig 2).Fig 2. A screenshot of the Excel sheet showing the formatting used in this analysis. Column A containsthe names of the journals. Column B contains the databases that the adjacent journal appears in. ColumnC contains the keywords used to describe the journals.After combining entries, the lists of databases and descriptors were put into arrays separated bythe string ";" Then, two external functions, one to remove duplicates from the array [11], and oneto alphabetize elements inside of the array [12], were used
-longcourse to be mastered, but the goal in this course is just introduction of such tools to the studentsthat otherwise will not be exposed to these strong tools. Becoming masters of these technologieswill be the choices that the students will take when joining the workforce.References:[1] Ponen, Joshua and George H. Sorter; “The Descriptive and the Normative”; Objectives ofFinancial Statements; American Institute of Certified Public Accountants; AICPA, May 1974[2] Steele, Katie and H. Orri Stefánsson, "Decision Theory", The Stanford Encyclopedia ofPhilosophy (Winter 2020 Edition), Edward N. Zalta (ed.), URL =.[3] P. Zhou, B.W. Ang, K.L. Poh, Decision analysis in energy and environmental modeling: Anupdate, Energy, Volume 31, Issue 14, 2006, Pages
Paper ID #41076Simulation Analysis of Air Temperature Effects on Propylene Storage TankLeaksDr. Mahmud Hasan, University of Houston - Downtown Mahmud Hasan is an Assistant Professor in the Computer Science and Engineering Technology (CSET) Department at the University of Houston-Downtown. Dr. Hasan earned a Bachelor in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET), Master of Science degree in Mechanical Engineering from Louisiana State University (LSU), Master of Engineering degree in Mechanical Engineering from Virginia Tech (VT), and Doctor of Philosophy degree in Engineering
Paper ID #43066The Future of Learning: Harnessing Generative AI for Enhanced EngineeringTechnology EducationMr. Jody Lee Alberd, Austin Peay State University Mr. Jody Lee Alberd is an Assistant Professor with the Department of Engineering Technology at Austin Peay State University (APSU) from where he earned his Master of Science in Engineering Technology. Mr. Alberd’s industrial career as a Manufacturing Engineer included working with several renowned companies such as Trane Technologies and Electrolux North America. Prior to that, he served in the United States Navy during a 20-year career that included service during
Science in Engineering Technology from the OSU Construction Management Department in 1998. She graduated with a Masters oProf. Laura Kay Emerson, Oklahoma State UniversityProf. Carisa H. Ramming, Oklahoma State University Carisa Ramming is a graduate of Oklahoma State University where she obtained degrees in Architectural Engineering and Civil Engineering Construction Management. She worked in industry for six years as licensed engineer and structural consultant for Walla ©American Society for Engineering Education, 2024 First Year Engineering Students, Social Media and Course Delivery PreferencesAbstract: University educators seek to engage students where they
Paper ID #42449Relationship Among Entrepreneurial Intention and Entrepreneurial CompetencyDevelopment: A Study on Perceptions Through Engineering Students.Prof. Claudia Paz Gwynn, Universidad Andres Bello, Santiago, Chile Doctorate student in Psychology with a research line in innovation, Master in Entrepreneurial Development for Innovation and Master in Coaching. National Coordinator of the Academy of Innovation and Entrepreneurship in the School of Engineering, UniversidProf. Maria Elena Truyol, Universidad Andres Bello, Santiago, Chile Mar´ıa Elena Truyol, Ph.D., is full professor and researcher of the Universidad Andr´es
Itemized Results Correct Qualitatively correct with good scale (C,C) 45/119 (37.8%) 68/119 (57.1%) Qualitative errors and/or poor scale (C,E) 23/119 (19.3%) Incorrect Qualitatively correct with good scale (E,C) 10/119 (8.4%) 51/119 (42.8%) Qualitative errors and/or poor scale (E,E) 41/119 (34.4%)The results in Table 3 show that by the second week of classes (when the first test was offered) all thestudents who had mastered the graphical approach also mastered the numerical approach.Based on Table 4, a significant percentage of solutions include either correct calculations and correctpolygons (37.8%) or incorrect
applying for funds from thegovernment and industries. The Chinese students enrolled in the MBB-BUCT program wouldalso serve as a steady source of international students for UGA's doctoral programs, aligningwith our strategic objective of fostering graduate program growth.Educational ProgramThe proposed CCE program would enable the University of Georgia to offer the Master ofBiomanufacturing and Bioprocessing (MBB) degree program at Beijing University of ChemicalTechnology (BUCT). The MBB program is a professional master’s degree program designed totrain engineering and science graduates for leadership roles in the biotechnology industry. Whilemany biotechnology programs touch on biomanufacturing and bioprocessing, the UGA MBBprogram is unique in
, she works as a Doctoral Researcher and Adjunct Professor at Louisiana Tech University’s DECODED Lab, focusing on VR flight simulation programs. She has also worked as Executive Director leading public relations and scientific research for the SGWCD for fifteen years. Lindsay holds a Master of Science in Engineering and Technology Management, a Master of Business Administration, and a Bachelor of Science in Agricultural Business. In addition, she holds black and green belt six-sigma certifications.Dr. Kelly B. Crittenden, Louisiana Tech University Dr Kelly Crittenden is a member of Louisiana Tech University’s Integrated STEM Education Center (ISERC), and is the Harrelson Family Professor of engineering. He is also the
created foreach competency such as this Communication rubric (https://myumi.ch/M692b). A generaldescription of each level is below: ● Exploring - just learning a skill (students might engage at this level in a 100/200-level course or in the first semester of a co-curricular) ● Engaging - gaining skills but not quite mastered (students might engage at this level in a 200/300-level course or in the first year of a co-curricular), and ● Explaining - mastering the skill and able to talk about it in an interview (students might engage at this level in a 300/400-level course or in extended co-curricular participation)There are three ways students progress through the levels for each dimension: ● Automatically move to Exploring
Corporation of Trinity House • Greek Maritime Academies, Merchant Marine Academy of Makedonia, Marine Engineering Department • Ghent, Belgium, MSc in Electromechanical Engineering – Maritime Engineering (finished) • Croatia Split: Croatia is the University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, MSc in Marine Electrical Engineering Technologies, Master in Maritime Electrical Engineering and Communication Technologies • Gdynia, Faculty of Electrical Engineering Paço de Arcos, Portugal, bachelor’s degree Maritime El. Engineering ETD 3555. Mandatory Minimum
will communicate with each other and ROS master using a subscribe andpublish routine (Figure 6). Fig. 6. ROS master based on publish and subscribe.This same routine will also be used to receive job requests. The job request function is crucial tothis project because this is what makes the GOFR versatile. Without it, it would just be a robothardwired to go from point A to point B. This function can be accessed from an app or website.Once the user sends a job request, a job-planning node within ROS will receive it, prioritize it,and then store it until the path planning node requests the next job. Once this happens the jobnode will send a one-time message back, stating the new location. This type of message is calleda
the components of emotional intelligence and howunderstanding it can enhance leadership skills.Module 3: “Understanding and Valuing Differences”Learning outcomes: Explore personality preferences, types, and how leveraging these canimprove team and workforce dynamics. Proceedings of the 2024 Conference for Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 535Module 4: “Servant Leadership”Learning outcomes: Examine key traits and benefits of servant leadership.Module 5: “The Art of Communication”Learning outcomes: Master effective communication, understand the
electrical engineering from the University of Massachusetts, Dartmouth.He holds a Doctorate in Education from Murray State University, focusing on STEM. Dr. Martin has ledmanufacturing many high-reliability power electronic components used in space and military applications. His areaof research is in the retention of underrepresented students in engineering. He is a licensed professional engineer(Manufacturing), a project management professional, a Lean Six Sigma Master Black Belt, and a Scrum Master. Dr.Martin enjoys teaching electrical and electronic courses. Electrical engineering is fascinating, and he is alwayswilling to share his successes and failures. Dr. Martin was on the Today show (2008), demonstrating a waterproofedsmartphone, radio, and
master to ensure career readiness, according to the Joint Task force onUndergraduate Physics Programs [7]. Their 2016 report recommends redesigning or adaptingphysics courses to provide students with more opportunities to develop communication skills,noting that these opportunities should be infused throughout the curriculum, not confined to onecourse. Lab courses provide an essential training ground for doing science and scientificwriting [8], though writing in physics goes beyond lab reports. Drawing on frameworks fromwriting studies, we argue that physics students need to develop an awareness of genre and theability to learn new genres. Indeed, the Joint Task force emphasizes that physics graduates musthave “the ability to communicate orally
assessments, analyzing the results of thoseassessments for further practice and coaching on that skill or for moving forward to the next skill.Assessments of all foundational skills are either Mastered or Not Yet. We know that this approachhas positive effects on student learning [5], and others are examining the effects on anxiety in thestudents [6]. With the present study, we test the effect of the MBL approach on developing apositive Failure Mindset with the following hypotheses. H1 At initial assessment, third-year students will exhibit a higher propensity toward a positive Failure Mindset than the entering first-year students. H2 The measure of Failure Mindset will increase over the semester for all three groups of students. H3 The first
implemented. In this case, the learning module consists of lectures and project-based hands-on experiments as a means to foster students’ creativity and deeper understanding ofthe subject matter. Students worked on a team project to build a solar charge controller infusedwith microelectronic topics such as pn diodes, bipolar junction transistors, metal oxidesemiconductor field effect transistors, current/voltage sensing, and pulse width modulationtechniques. Mastering these topics can be challenging, so visual representations are designed tofacilitate student learning including; ➢ the principle of pn diode and related circuits that enable the Arduino microcontroller to operate PN diode-based light emitting diodes (LEDs
quizzes is notpermitted. Now, the assessment of students becomes public in a very natural way, visible byeverybody. Surprisingly, students take this challenge. It is my experience that they do feelcomfortable with being seen and judged by their fellow students. This positive peer pressure isaccepted and even desired by students; it becomes a major driving force in their personaldevelopment, helping them to rise to new levels of mastering knowledge. Once the grade privacypremise is given up, it becomes obvious what an immense hindrance it is to striving forexcellence.Likewise, grade privacy helps procrastination. Procrastination is a natural tendency in all humans– our survival mechanism to deal with unknown, scary or frightening situations
knowledgeable, 11,12 teach entire courses outside the specific area of expertise of thefaculty,7,13,14 and teach courses at off-campus locations. 15 One example is using adjunctinstructors from industry to teach courses in a non-traditional professional engineering andtechnology graduate (Masters) program. 16Industry ResourcesIndustry can provide cooperative positions and internships which allow students to work side-by-side with engineering professionals to see what they have learned in class and how it is appliedin practice. 17,18 Industry can provide paid part-time positions that are part of a work-studyprogram required for a degree program. 19 Industry can sponsor senior design projects to producesome type of product of interest to them, while
academicadministration for over sixteen years. Her research interests include engineering education,broadening the participation in higher education and transformation of institutions of highereducation.Dan Allison is currently the Director of Airbus Single Aisle Product Development for SpiritAeroSystems. He is responsible for technology research and development specifically targeted tonew programs and products. He joined the company in 2006 after a 28 year career with Boeing.During which time he held many positions including Site executive, General Manager andDirector of Quality and Engineering manager at various Boeing facilities. Mr. Allison holds aBachelor and Masters Degree, both in Mechanical Engineering, from Wichita State Universitywhere he was on the
configurethe audio codec to activate the Digital Audio Interface (DAI). In our design, the code is modified Fig.2. Interfacing the audio codec to the FPGA. Arrows indicate the flow of signals between the FPGA and the audio codec.to enable the FPGA and to route the incoming data on to the FPGA for processing. The FPGAthen filters the data and sends them to the D/A converter. The processed data is available foroutput at Line Out of the codec. A BDF file is created consisting of two block symbols. Oneblock symbol configures the audio codec to operate as a master generating a clock out forsynchronizing with the filter. The audio codec is set to operate in I2S mode. Certain areas of the Proceedings of the 2007 Midwest Section Conference of the
check d_A next:bitLength(d_A ) >= 240, good...gcd(d_A ,p-1) == 1, almost there for d_A ...gcd(d_A ,q-1) == 1, d_A is ok, let’s check d_B next:d_B != 1, that’s a good start...e*d_A *d_B == 1, Brilliant!h(m) is valid, checking signature:s_AB is valid.You have 6 out of 6 parts correct. You are the master of RSA2!Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityTimeless Dynamic ExamplesEach time a student accesses a dynamic exercise, different data is presented. For a timeless dy-namic exercise, students can work offline on the problem as long the original data web page ispreserved in their browser or saved in a file. Figure 5: Dynamic Example Based on the Current TimeFigure 5 shows a dynamic
, or locating a centroid. Students are encouraged to master these concepts, but are oftennot provided the real context of the calculations that they are making. Instead, these basicconcepts become more like simple discrete tools that are not interconnected. Students are oftengiven basic homework problems from the back of a chapter in a typical textbook that involvethese calculations. As a result, the student may master, for example, determining the moment ofinertia of an area, but may not understand why they are making the computation.The use of overarching problems is a specific structured implementation of Problem BasedLearning. Simply defined, an overarching problem is a common design or analysis problemencountered in the discipline (in
work up inthe race shop computer and meeting room. The result is that students are forced to return to theexcitement of racing just frequently enough that they are reminded of the excitement and stay engaged. 3Despite the programs focus on undergraduate studies, graduates that continue on for a master‟s or PhD,typically use the race shop as a hang out, working on pet projects, and continuing to support the raceteams they crewed on in their undergraduate years. This beneficial support of the teams complements thefaculty effort to guide and lead the teams through the engineering of the race cars.Students and race team internshipsBecause of the great need for race team engineers and because of
design work as well as observations of theongoing group performance in the design and construction of the capstone projects.Biographical Information MAJ Brian J. Novoselich graduated from the United States Military Academy in 1996 with aBachelor of Science degree in Mechanical Engineering. He earned a Master of Science degree inmechanical engineering from the University of Texas at Austin in 2006. He has served in variouscommand and staff positions during his Army career and is currently the course director for theautomotive sub-discipline courses at USMA. In addition he is the head faculty advisor for the Baja SAEdesign teams. MAJ Justin Highley graduated from the United States Military Academy in 1995 with a Bachelorof Science
. Zydney, Andrew L., Bennett, Joan S., Shahid, Abdus and Bauer, Karen W.,“Impact of Undergraduate Research Experience in Engineering” Journal ofEngineering Education, p151-157, April 2002.DERAN HANESIAN received his B. ChE. and Ph.D. in ChemicalEngineering from Cornell University in 1952 and 1961 respectively. Hewas employed at DuPont and then started teaching at NJIT in 1963 andserved as Chairman of the Department of Chemical Engineering,Chemistry and Environmental Science from 1975-1988. He is therecipient of numerous awards and in October 2000, he was designated inthe inaugural group of five MASTER TEACHERS at NJIT. He is aFellow of the AIChE and the ASEE.ANGELO J. PERNA received his B. S. and M. S. ChE from ClemsonUniversity and his Ph.D. from
from gIBIS and QOC. In: Dutoit A, McCall R, Mistrik I, Paech (eds.) Rationale Management in Software Engineering, Springer-Verlag, Berlin Heidelberg, Germany, pp. 111-132[4] Conklin J, Begeman M.L. (1988) gIBIS: A Hypertext Tool for Exploratory Policy Discussion. ACM Trans. on Office Information Systems, 4(6), pp. 303-331[5] Conklin J (2006) Dialogue Mapping: Building Shared Understanding of Wicked Problems. Wiley, UK, pp. 3- 40[6] Dalrymple O (2005) Using Systems Engineering Methodology to Engineer Community Based Participatory Research, Masters Thesis, Morgan State University, Dept. of Industrial Manufacturing & Information Engineering[7] Dutoit A, McCall R, Mistrik I, Paech B (2006) Rationale Management in