Conference Session

Engineering Physics and Physics Division Technical Session 3

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Yumin Zhang, Southeast Missouri State University

Tagged Divisions

Engineering Physics and Physics

, Recurrent Neural Networks with Python Quick Start Guide: Sequentiallearning and language modeling with TensorFlow, Packt Publishing (2018). ISBN-13: 978-1789132335.[12] Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, 2nd ed.,A Bradford Book (2018). ISBN-13: 978-0262039246.[13] Maxim Lapan, Deep Reinforcement Learning Hands-On: Apply modern RL methods, withdeep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, PacktPublishing (2018). ISBN-13: 978-1788834247.[14] François Chollet, Deep Learning with Python, 2nd ed., Manning Publications (2017). ISBN-13: 978-1617294433.

Conference Session

Engineering Physics and Physics Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Todd Zimmerman, University of Wisconsin

Tagged Divisions

Engineering Physics and Physics

throughthe quiz in case questions arise during grading about how they got their answer. The lockdownbrowser limits them to one page on the Trinket website and prevents them from opening otherapplications on their computer during the exam. They are also encouraged to use VPython tocomplete homework problems. A friend of yours has just completed the first discussion activity where a storm cloud is modeled as a negative point charge with q = 200 C a height of 1000 m directly over your position. They show you their computer screen and you notice something can’t be right with their model. Describe in detail how you know their results are wrong. Include an explanation of what you would expect to see instead. Feel free to include a sketch

Conference Session

Engineering Physics and Physics Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Jessica R. Hoehn, University of Colorado, Boulder; Noah D. Finkelstein, University of Colorado, Boulder

Tagged Topics

Diversity

Tagged Divisions

Engineering Physics and Physics

Role Confidence and Gendered Persistence in Engineering,” Am. Sociol. Rev., vol. 76, no. 5, pp. 641–666, Oct. 2011.[6] K. L. Lewis, J. G. Stout, S. J. Pollock, N. D. Finkelstein, and T. A. Ito, “Fitting in or opting out: A review of key social-psychological factors influencing a sense of belonging for women in physics,” Phys. Rev. Phys. Educ. Res., vol. 12, no. 2, 2016.[7] K. L. Lewis et al., “Fitting in to Move Forward,” Psychol. Women Q., p. 036168431772018, Aug. 2017.[8] K. Rainey, M. Dancy, R. Mickelson, E. Stearns, and S. Moller, “Race and gender differences in how sense of belonging influences decisions to major in STEM,” Int. J. STEM Educ., vol. 5, no. 1, p. 10, Dec. 2018.[9] C. Good