Minaie, A., & Neeley, J. D., & Brewer, N. E., & Sanati-Mehrizy, R. (2021, July), Haptics in Aviation  Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--37239

\bibitem{asee_peer_37239}
  Minaie, A., \& Neeley, J. D., \& Brewer, N. E., \& Sanati-Mehrizy, R. (2021, July), \emph{Haptics in Aviation}
  Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference.
  10.18260/1-2--37239

Afsaneh Minaie, Joshua D. Neeley, Nile Edward Brewer, and Reza Sanati-Mehrizy.  "Haptics in Aviation".  2021 ASEE Virtual Annual Conference Content Access, Virtual Conference, 2021, July.  ASEE Conferences, 2021.  https://peer.asee.org/37239 Internet.  12 Jan, 2025

\bibitem{asee_peer_37239}
  Afsaneh Minaie, Joshua D. Neeley, Nile Edward Brewer, and Reza Sanati-Mehrizy.
  "Haptics in Aviation".
  \emph{2021 ASEE Virtual Annual Conference Content Access, Virtual Conference, 2021, July}.
  ASEE Conferences, 2021.
  https://peer.asee.org/37239 Internet.  12 Jan, 2025

@INPROCEEDINGS{asee_peer_37239
author = "Afsaneh Minaie, Joshua D. Neeley, Nile Edward Brewer, and Reza Sanati-Mehrizy"
title = "Haptics in Aviation"
booktitle = "2021 ASEE Virtual Annual Conference Content Access"
year = "2021"
month = "July"
address = "Virtual Conference"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/37239}
number = {10.18260/1-2--37239}
}

TY  - CPAPER
AB  - Abstract
According to Wikipedia “machine learning is the study of computer algorithms that improve automatically through experience.  It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so”.  
Machine learning has many applications such as banking, bioinformatics, adaptive websites, computer networks, economics, linguistics, online advertising, self-driving cars, dynamic pricing, traffic alerts, social media, search engines, speech recognition, online video streaming, IOT, …  
Machine learning has become a revolutionary modern engineering tool to solve real-world engineering problems.  Because of availability of computing power, more and more engineering problems have been reformulated and solved using this data-driven approach.  It is essential for engineers to know how to apply machine learning algorithms to their large amount of data that is generated by the sensors.  
Educational excellence requires exposing students to the current edge of research. To ensure that
student projects are along the same trajectory that the industry is moving, educators must
continually introduce emerging techniques, practices, and applications into the curriculum. The
field of machine learning is growing rapidly. It is essential that the emerging field of
machine learning be integrated into the computer science and engineering curricula.
This paper is a study of different approaches that are used by different institutions of higher
education around the world to integrate machine learning concepts in their computer
science and engineering curricula.

AU  - Afsaneh Minaie
AU  - Joshua D. Neeley
AU  - Nile Edward Brewer
AU  - Reza Sanati-Mehrizy
CY  - Virtual Conference
DA  - 2021/07/26
PB  - ASEE Conferences
TI  - Haptics in Aviation
UR  - https://peer.asee.org/37239
DO  - 10.18260/1-2--37239
ER  -