Vesali, N., & Greenburg, D. S., & Batouli, M., & Singleton, E. T., & Williams, A. B. (2024, March), Artificial Intelligence and Machine Learning Applications in Engineering Project Management: Developing A Course Module  Paper presented at 2024 South East Section Meeting, Marietta, Georgia. 10.18260/1-2--45506

\bibitem{asee_peer_45506}
  Vesali, N., \& Greenburg, D. S., \& Batouli, M., \& Singleton, E. T., \& Williams, A. B. (2024, March), \emph{Artificial Intelligence and Machine Learning Applications in Engineering Project Management: Developing A Course Module}
  Paper presented at 2024 South East Section Meeting, Marietta, Georgia.
  10.18260/1-2--45506

Nahid Vesali, David S Greenburg, Mostafa Batouli, Eva Theresa Singleton, and Andrew B. Williams.  "Artificial Intelligence and Machine Learning Applications in Engineering Project Management: Developing A Course Module".  2024 South East Section Meeting, Marietta, Georgia, 2024, March.  ASEE Conferences, 2024.  https://peer.asee.org/45506 Internet.  13 May, 2024

\bibitem{asee_peer_45506}
  Nahid Vesali, David S Greenburg, Mostafa Batouli, Eva Theresa Singleton, and Andrew B. Williams.
  "Artificial Intelligence and Machine Learning Applications in Engineering Project Management: Developing A Course Module".
  \emph{2024 South East Section Meeting, Marietta, Georgia, 2024, March}.
  ASEE Conferences, 2024.
  https://peer.asee.org/45506 Internet.  13 May, 2024

@INPROCEEDINGS{asee_peer_45506
author = "Nahid Vesali, David S Greenburg, Mostafa Batouli, Eva Theresa Singleton, and Andrew B. Williams"
title = "Artificial Intelligence and Machine Learning Applications in Engineering Project Management: Developing A Course Module"
booktitle = "2024 South East Section Meeting"
year = "2024"
month = "March"
address = "Marietta, Georgia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/45506}
number = {10.18260/1-2--45506}
}

TY  - CPAPER
AB  - Artificial Intelligence (AI) and Machine Learning (ML) are pivotal topics in today’s education and have a significant impact on the future of engineering careers. AI and ML applications are gaining popularity in real-world engineering projects, making it essential for all engineering students to learn about the evolving tools and techniques. The objective of this study was to create a specialized module within an Engineering Project Management and Planning course, offering students insights into the versatile applications of AI and ML in project management. The module focuses on four primary learning objectives. To achieve these objectives, we explored three key aspects of AI and ML in project management: 1) Enhancing decision-making through AI and ML predictive capabilities; 2) Optimizing resource allocation by automating report generation, virtual assistance, and automating communications; and 3) Mitigating project risks through sentiment analysis of project documents and early issue detection from textual data. To ensure a comprehensive understanding for students, we integrated a few AI and ML tools currently utilized in industry projects into the module, summarizing their potential advantages and disadvantages. The module was designed for graduate-level students and spans one week of a three-credit-hour course. An in-class activity was included to engage students actively in the learning process. Students' attainment of the learning objectives will be assessed through a subsequent homework assignment, a quiz and one exam question in the form of matching statements. While primarily designed for graduate-level students, this module can be adapted with minor adjustments for inclusion in undergraduate-level engineering project management courses.
AU  - Nahid Vesali
AU  - David S Greenburg
AU  - Mostafa Batouli
AU  - Eva Theresa Singleton
AU  - Andrew B. Williams
CY  - Marietta, Georgia
DA  - 2024/03/10
PB  - ASEE Conferences
TI  - Artificial Intelligence and Machine Learning Applications in Engineering Project Management: Developing A Course Module
UR  - https://peer.asee.org/45506
DO  - 10.18260/1-2--45506
ER  -