Collection

2025 Northeast Section Conference

Authors

Alex Peebles

of a into programs such as Excel to plot the slider linear velocity, 𝑣,mechanism and results obtained. This paper presents the coursestructure, provides example problems and student submission,and presents survey data obtained from students who took thecourse in the fall semester of 2024. Keywords—Dynamics; Computer-Aided Design; Simulation. I. INTRODUCTION Analysis and Synthesis of Mechanisms is a core course inthe mechanical engineering curriculum at the University of theDistrict of Columbia, typically taken in the junior year after thecourse pre-requisite Engineering Mechanics II (Dynamics).Students work to understand the function of various mechanisms(e.g., four bar linkages, slider cranks, and cam

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Brian Krug, Grand Valley State University; Chirag Parikh, Grand Valley State University; Elora Mae Ferrie, Grand Valley State University

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

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Edward Jesse Sizemore III, Marshall University; Trevor Joseph Bihl, Marshall University

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

Collection

2025 ASEE PSW Conference

Authors

Siyuan Meng, University of Southern California

Engineering University of Southern California Elizabeth Finley edfinley@usc.edu Department of Aerospace and Mechanical Engineering University of Southern California Bocheng Jin bochengj@usc.edu Department of Aerospace and Mechanical Engineering University of Southern CaliforniaAbstractA specialized adaptation of a Computer-Aided Design (CAD) curriculum was developed toprovide hearing-impaired students with equitable access to learning and to foster an

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

Keywords—Artificial Intelligence (AI); Generative AI (Gen tools was around four decades ago [2]. Over the years, AIAI); Engineering Education; Large Language Models (LLM); techniques comprising rule-based expert systems and machinePedagogical Frameworks learning models have increasingly been used to support tasks like automatic grading, intelligent simulations, and adaptive I. INTRODUCTION learning systems. However, these traditional AI systems were often limited to analyzing data or following pre

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

I. INTRODUCTION Abstract— Generative artificial intelligence (Gen AI) usesalgorithms to create new content including images, computer In academia and beyond, AI-generated material is highlycode, audio, presentations, simulations, animations, and more. In accessible with a relatively low-sloped learning curve, makinga Human-Machine Systems Engineering (HMS) course, the use it readily available to those with electronic devices and internetof Gen AI was discussed, addressed, and integrated with connections. Many students in higher education are now usingintentionality. The full infusion process in the course was gradual Gen AI extensively to construct written reports, summaries,and measured

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Shuyu Wang, The Ohio State University; Rachel Louis Kajfez, The Ohio State University

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

Collection

2025 Northeast Section Conference

Authors

Gowtham Raj Vuppari; Navarun Gupta; Ahmed El-Sayed; Xingguo Xiong

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Wildfire Detection Using Vision Transformer with the Wildfire Dataset Gowtham Raj Vuppari[1], Navarun Gupta[2], Ahmed El-Sayed[2], Xingguo Xiong[2] [1] Department of Computer Science and Engineering, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604, USA. [2] Department of Electrical and Computer Engineering, University of Bridgeport, 126 Park Avenue, Bridgeport, CT 06604

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

William T. Evans PhD P.E., The University of Toledo

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