MECHANICAL ENERGY USING MODEL ROCKET ENGINESAbstractTo provide the first-year engineering students with a hands-on experience in an engineeringapplication using both chemistry and physics, this team project uses a set of chemical and physicalenergy concepts and MS Excel based analysis. The main objective of the project is to calculatehow much of the potential maximum possible chemical energy is converted into propulsion whenusing model rocket engines with solid fuel. The secondary objective is to determine the effects ofincreasing conversion rates on the performance of a model rocket. The solid fuel or propellant usedin common model rocket engines is black powder. Compared to composite and hybrid engines,engines with black powder are cheaper and
theirinspiration for a design project. We created a case study for each scenario, where we tried to set-up the situation and teach students the correct or Instructor-expected response. We created threeethics related assignments.2.1 Assignment 1 and Quiz 1In the first assignment, the students were asked to read the Academic Integrity Policy for ouruniversity. The policy is available in the ATU Student Handbook and we created a link to it inBlackboard for the students. The policy lists types of academic integrity violations and includesdefinitions and examples for cheating, plagiarism, collusion, impersonation, fabrication, andforgery. The students were asked to read the policy and then answer 5 questions. The completeassignment is given in figure 1
. This navigating insole could also potentially be of great use for individuals withvisual impairments.IntroductionWe have developed an innovative teaching approach for the newly designed eight credit hourcornerstone course for first year engineering students. Rather than studying for exams, through theskill- and knowledge-integrated approaches, highly motivated students are able to interact withother students and faculties from various institutions and take further strides towards real worldsituations. This method is effective and well-suited to educate our students through hands-onproblem solving and team building.This paper shares a sample project illustrating a new teaching approach through innovation. Oneof the objectives of the
engineering students.[1,2] We also useit as a gateway to motivate the introduction of Dirac notation into the engineeringcurriculum.[3,4]In this paper we provide some examples of useful applications of quantum entanglement that canbe simulated in an upper level modern physics course. We describe some simple algorithms thatstudents are guided to develop in the MATLAB environment. We also present the results ofsome simulations. These projects are well received by students and taking the time to introducethem does not harm their performance on a research-based assessment instrument.Schrödinger introduced “entanglement” into the scientific vocabulary in 1935.[5] It is interestingthat the phrase was essentially absent from publication until around 1990
comments and responses on thewebsite, and often adapt substantial aspects of the course based on student feedback. In this way,students have a voice in shaping the class. Additionally, students vote on topics to cover for thelast few weeks of the semester; this community process allows them to further exercise controlover their own learning. Students also have agency over their learning at the end of the coursewhen they can complete an optional final project. The projects typically consist of writing apaper about a topic we did not cover in depth in the course, and can replace part of an examgrade. In addition to having agency over their learning, the final project option also providesopportunity for students to define what is interesting and
, students’ perception, educationalinnovation, higher educationIntroductionTo understand gender and socioeconomic differences in scientific and technological areas,studies that deepen the understanding of each culture or region are necessary. This papercontributes to the understanding of high-school students’ perceptions about physics by genderand different socioeconomic statuses in Mexico.This study was conducted in Mexico within a larger project in which the objective was toidentify the actors and factors that influence ninth-grade students’ perceptions of their academicor future professional work activities in the STEM areas of science and technology. We focusedour study on students in Nuevo Leon in the northern part of the country and Chiapas in
good options for thisintroductory course. On the other hand, if students do not practice training neural networks, theirknowledge on ML would be rather shallow. Therefore, Excel was selected as the tool for simpleML projects that can demonstrate the training procedures.A simple example is temperature conversion, although it is very easy in conventionalcalculations: y = w x + b , where x and y are the temperatures in Celsius and Fahrenheit, and thetwo constants are w = 1.8 and b = 32. With the approach of ML, a training data set withtemperature pairs in Celsius and Fahrenheit (x, y) are provided, and the weights (w, b) in theneural network will be optimized. A more general neural network is shown in Fig. 3, in thisspecial case only one input
information on radio propagation.ExperimentalOur experimental apparatus is the same as used in a previous project [4] and consists of aKenwood model TS-590 short-wave receiver, and an end-fed, 100-foot wire antenna strungaround the woods of Old Lyme, Connecticut. The antenna was L-shaped, and oriented in boththe north-south and east-west directions. Data collection was done in October, December andJanuary.Initial benchmark using 2.5 MHz NIST broadcasts: As a benchmark, and to observe the timeinterval when D-layer absorption occurs, we first measured the signal-strength of NIST’s WWVtime/frequency beacons at 2.5 MHZ over a 24-hour period for both October and Decembertimes. For October, sunrise and sunset were 6 A.M. and 5 P.M. respectively and for
computational modelingacross the physics and engineering curriculum will be covered. Issues incorporatingcomputational modeling across the curriculum will also be discussed.1 IntroductionModern scientific research relies on three equally important tools; theory, experiment, andcomputational modeling[1]. Despite the importance of computational modeling, and while thenumber of departments incorporating computation into homework and projects has grown, fewshow consistent use of computation in active engagement in the classroom or exams[2].The American Physics Society, in conjunction with the American Association of PhysicsTeachers released a report titled ”Phys21- Preparing Physics Students for 21st CenturyCareers”[3], looking at what skills our students
. Sharma, A. Mendez, I. M. Sefton, and J. Khachan, “Student evaluation of research projects in a first-year physics laboratory,” European Journal of Physics, vol. 3, no. 2, p. 025004, 2014.4. P. Aceituno, J. Hernández-Aceituno, and A. Hernández-Cabrera, “Simulation of General Physics laboratory exercise,” Journal of Physics: Conference Series, vol. 574, p. 012068, 2015.5. V. Otero and D. Meltzer, “The past and future of physics education reform,” Physics Today, vol. 70, no. 5, pp. 50-56, 2017. Available: https://doi.org/10.1063/PT.3.3555.6. D. R. Sokoloff, P. W. Laws, and R. K. Thornton, “RealTime Physics: active learning labs transforming the introductory laboratory,” European Journal of Physics, vol. 28