Engineering Disciplines Brian Aufderheide1, Otsebele E. Nare1 1 Hampton University, USAAbstractThis is a Work in Progress. Students are taught how to model, write, and solve engineeringequations as part of their typical curriculum. But what is not covered is how to meld theengineering design world with the economic domain needed to be successful in industry. Oneauthor has supervised over 35 industrial design projects, and through his experience found thatwhat industry values most is a detailed Financial Operational Model with clear design andeconomic parameters evaluated through sensitivity analysis. At Hampton University
capstone has been revised around the Vee Modelto describe systems engineering process. The top-down and bottom-up design perspectives arecompared, and weekly deliverables are presented to help students practice systems engineering.A detailed description of weekly deliverables and rubric for the Critical Design Review aredescribed elsewhere1. Two perspectives of the Vee-Model are described to provide a holisticperspective of system-level thinking2-4. A 3D-printed quadcopter with its stable flight controlare provided as an illustration of the student efforts.5 Major blocks of the system include: (1) thequadcopter frame, (2) the control system, and (3) the power and thrust system.The last part of the paper attempts to compare the Vee Model system
, lacking a sense of humanity and meaning.Therefore, a national policy to renew Engineer education was launched by the StateDepartment and financial grants of engineering education reformation [1]. Followingthis trend, a three-year pioneer curriculum transformation in System Engineering (SE)has been implemented in many research universities. A subprogram within theelectrical engineering field is related to system engineering. Its emphasis is attachedto the use of system theory in electronic applications, e.g., autonomous vehicles. Infact, electrical engineering related system engineering tends to emphasize controltechniques, which are often software-intensive. Managing complexity is an importantcomponent of many courses taught within the SE program
inprogress, we shared our initial framework to explore the systems thinking cognitivecompetencies of iGEM participants, open coded the content of one of the wikis, and presentedsome preliminary evidence of the competencies. Through continuing research, we will furtherexplore systems thinking in biological systems design by analyzing the remainder of the sixteams’ wikis. 1. Introduction The design of biological systems has gained attention as an opportunity to solve society'sproblems by envisioning new environmentally friendly bio-products or developing lesscontaminant alternatives. A biological system may be defined as whole living entities, or theirparts, that have biochemical processes in common such as growth, respiration, self
, the mechanical engineering occupation hadthe lowest female representation (6%), and a low non-white population (11%) [1]. This under-representation trickles down to populations of undergraduate students studying mechanicalengineering. Women and minorities make up more than two-thirds of the United Statesworkforce, yet only represent 23% of engineering graduates [2].Many groups’ research has indicated a number of items that work to deter women and minoritiesfrom pursuing and persisting in engineering. Johnson and Sheppard [3] found that women had ahigher potential for disillusionment with engineering and the assumed engineering lifestyle, aswell as being less interested in the often competitive engineering education. The ability to payfor
engineeringprinciples through multiple views has been developed. These views included a stakeholderfeature model, interactions model, functional architecture, technical requirements, and physicalarchitecture (Simoni et al., 2016). The purpose of having multiple views is to ensure completerepresentation of the necessary aspects (behavior, value, and design) of the system (Schindel,2011). Figure 1 shows a Functional Architecture diagram and Figure 2 shows a Stakeholder/Feature view from a collection of views for a TV remote control (Simoni et al., 2016). Thefunctional architecture view shows interactions with external systems or actors and also theinternal functions that support the input/output behavior of the system.The stakeholder/feature view in Figure 2
mathematical basis with theatre’s human and communication basis. II. BackgroundThe collaboration between the fields of engineering and theatre can be observed in technicallydemanding productions, such as shows like Cirque Du Soleil’s KA [1], and in college programs,such as theatre engineering. Shows such as KA require engineers to help bring the vision of theshow to life through technical features such as lighting, rigging, pulley systems, etc. Theatreengineering programs provide engineers with the education to accomplish those technical feats.Theatre engineering programs are offered at different universities across the United States, suchas Purdue University [2], Lafayette College [3], the University of Arizona [4], and PennsylvaniaState
- cilitator Classes Taught: •Introduction to Computer Science •Ethics for Computer Science •Operating Systems •Computer Archi- tecture •Software Engineering •Database Fundamentals •Parallel and Distributed Programming •Mobile and Smart Computing •Introduction to Programming •Hardware & Software Research Interests: Computer Science Education, STEM Education, Online Learning, and Cyber Security c American Society for Engineering Education, 2018 Establishing an Engineering Core – What Does Every Engineer Need to Know, Particularly About Systems Engineering?1. IntroductionAn ABET accredited undergraduate or graduate program lays the foundation for the engineeringcareers of many in
provides advancededucation to the Air Force and other military and government organizations. This case exampleprovides a structured approach that can be followed to design, evaluate, justify, and integrateelements of any new work design, such as developing and executing a faculty mentoringprogram in an unconventional educational environment.IntroductionFormal mentoring is defined as a program established by an organization that purposely matchesmentors and mentees so the employees can share their knowledge and expertise [1]. “Mentoringis traditionally a process in which an experienced person (the mentor) guides another person (thementee or protégé) in the development of his or her own ideas, learning, andpersonal/professional competence” [2
, stricter government safety or environmental regulations also need to bemet. There are many examples, like cars and home appliances, that reflect this challengingscenario. Consequently, industry needs mechanical engineering graduates that have the necessaryknowledge, skills and abilities (KSAs) to successfully participate in the design and developmentof complex products or systems.The fact that companies need engineering graduates with a good foundation in the process todesign and develop products and systems is reflected in the new ABET accreditation criteria [1]and in references such as the Engineering Competency Model that was jointly developed byAmerican Association of Engineering Societies (AAES) and the United States Department ofLabor (DOL
; a United States Air Force general recently stated, “Our current defense acquisitionsystem applies industrial age processes to solve information age problems [1].”Emergent behaviors (wanted, unwanted, and unanticipated) are particularly difficult to managewith traditional systems engineering approaches. Although functional decomposition and relateddeconstructive approaches are useful, they fail to fully manage interactions. As David Cohen,Director of Naval Air Systems Command’s Systems Engineering Department, recently stated:“We have been using Newtonian systems engineering. We need quantum or string theorysystems engineering to manage modern system development [2].” Model-Based SystemsEngineering (MBSE) is one solution to this
interpreting the regression coefficients, we achieve our secondresearch goal to suggest specific improvements that instructors can use to give their students morefailure opportunities during PBL.1 IntroductionABET’s Criterion 5 requires engineering programs to provide all undergraduate students a majordesign experience that entails technical knowledge and skills acquired through the curriculum andincorporates realistic standards and constraints. The major design experience mentioned in thecriterion is an example of project-based learning (PBL): the theory and practice of using real-worldprojects that have time restrictions to achieve specific objectives and to facilitate individual andcollective learning [1]. PBL is a learner-centered approach that
modernchallenges to engineering include scale, multidisciplinary aspects, hierarchy, and complexity 1 . Asthe prevalence and relevance of these problems increase, engineering education must beresponsive 2,3,4 and many universities are including a special focus of multidisciplinaryengineering in basic courses 5 , capstone courses 6,7 , laboratories 8 , clinics 9 , and programs 10,11,12 .Overall, as course content is adjusted to the state-of-the-art, there may be a natural shift tomultidisciplinary engineering. One example of this shift is an automotive vehicle design course at our university titled“Hybrid Electric Vehicle Powertrains”. This course employs mechanical engineering andelectrical engineering skills equally to successfully design and simulate
the computing programs (CPEG, CS, and CPET) from the abovementioned three departments. Four faculty members from those three departments arecontributing to the project with their respective expertise. Worthwhile to mention is that the threedepartments also collaborated to obtain a HPC cluster through NSF Major ResearchInstrumentation (MRI) program. Page 26.652.3The three departments’ fall 2012 undergraduate enrollment, categorized by gender andracial/ethnic groups, is listed in Table 1. CPEG and CPET program enrollments are enclosed inparentheses beside their department enrollment. Of all the three programs, enrollment of womenis 25% and
synchronous student interactions. Synchronous student presence and participation - To quantify the synchronous student presence and participation, the number Figure 1. Timeline of synchronous student attendance in the sampled subset of courses (n=24, colored lines) of students who actually synchronously with a fitted linear trend line (black) showing small streamed any portion of the course was recorded but significant net decrease in student attendance for each of the sampled class periods (n=24). over the class period
grade studentsshould learn that “systems thinking involves considering how every part relates to others,” and“requirements are the parameters placed on the development of a product or system” (p. 39). Some organizations have developed and executed SE-oriented K-12 outreach and educationalprograms.20,23 Despite this interest, few studies have been able to assesses outcomes. Jain etal.24,25 use multiple-choice pre- and post-tests to assess student learning on three levels: 1) SEinformation content, 2) SE applications, and 3) analysis of SE concepts. Results show astatistically significant increase in post-test scores for levels 1 and 2; however, they employ animperfect instrument to measure SE knowledge. Other studies, including Bartus and
. Infact, other disciplines such as large-scale systems theory may need to be applied to addressthe management of large data when it comes to real-time control of complex systems.References 1. Guide to the Systems Engineering Body of Knowledge (SEBoK). Retrieved December 31, 2015, from http://sebokwiki.org/wiki/Guide_to_the_Systems_Engineering_Body_of_Knowledge_(SEBoK) 2. Blanchard, B. S., & Fabrycky, W. J. (2010). Systems Engineering and Analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall. 3. Banks, J., Carson, J. S. II, Nelson, B. L., & Nicol, D. M. (2009). Discrete-Event System Simulation (5th ed.). Upper Saddle River, NJ: Prentice Hall. 4. Buede, D. M., &