Paper ID #49601Visible simplified microcontroller model for teaching and learningDr. Brian Krug, Grand Valley State University I have spent 24 years as an electrical engineer in both the telecom industry aerospace industry. I have spent the last 7 years as an engineering professor teaching both EE and CE courses, but specializing in embedded systems.Dr. Chirag Parikh, Grand Valley State University Chirag Parikh is an Professor of Electrical and Computer Engineering at Grand Valley State University, Grand Rapids, Michigan. He received his B.S. degree from University of Mumbai, India in 2000. He received both his M.S. and
dynamics concepts throughexperimentation. Considerable gamification applications have been made in industrialengineering whereby some concepts, such as transportation and logistics lend themselvesnaturally to game concepts [35]. Beyond these games, simulation-based approaches toengineering education trend towards gamification, as depicted in Figure 4. Some examplesinclude the Mouse Factory, an interactive pedagogy focused simulation of a computer mousefactory that is useful for education in Design of Experiments [36], Control Charts [37], andprocess improvement [38], and AnyLogic, as seen in Figure 4, which provides an agent basedsimulation environment used in industry and academia to experiment with various design anddecision considerations in
Improve the Soft Skills,” Journal of Engineering Education Transformations, vol. 33, no. 3, p. 75, Jan. 2020, doi: 10.16920/jeet/2020/v33i3/147042.[3] M. Hu, J. Ji, J. Duan, and Q. Wang, “Distributed wind power virtual simulation experiment system for cultivating the ability to solve complex engineering problems,” Comput Appl Eng Educ, vol. 29, no. 6, pp. 1441–1452, 2021, doi: 10.1002/cae.22396.[4] N. Wognum, C. Bil, F. Elgh, M. Peruzzini, and W. Verhagen, “Transdisciplinary Engineering Research Challenges,” 2018.[5] R. Stroud, “Is Transdisciplinary Education Engaging the 21st Century Engineering Student?,” tjes, vol. 11, Aug. 2020, doi: 10.22545/2020/00138.[6] R. J. Lawrence, “Deciphering
Information www.hybridplc.org An introduction to programmable logic controllers (PLCs), process control algorithms, interfacing of sensors and other I/O devices, simulation and networking. Prerequisite: EECS 3200.Specific Goals- Students Elective course.Learning Objectives(SLOs) The student will be able to 1. Demonstrate knowledge of programmable logic controllers. 2. Demonstrate knowledge of process control systems. 3. Program using ladder logic programming of software. 4. Design PLC