Operations Analysis in Naval Operational Planning

Non-degree

Start Starts: 22 Mar 2027 - 26 Mar 2027 Info For details, contact NPS Online at online@nps.edu.

Clock Course duration: 5 Days

Location pin Offered: In person, at NPS

Avg. tuition cost per course: Request information Online@nps.edu

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Overview

This 5-day course covers practical applications of search theory, probability, decision theory, simulation, and combat models in naval operational planning, tactical decision-making, and risk assessment.

Learning Outcomes

  • Apply analytical techniques in mission analysis and COA evaluation
  • Assess risk to mission through probability
  • Use search theory in ASW planning
  • Apply decision theory (e.g., game theory, Bayes)
  • Discuss optimization, simulation, and AI in planning

Other Information

Course Cost: Per participant, contact online@nps.edu for details.

Intended Audience: Naval officers involved in operational and logistics planning who want to enhance their analytical capabilities and apply quantitative methods to complex operational challenges.

 

 

Commander Paolo J. Singh, USN, Ph.D.

Commander Paolo J. Singh is a Permanent Military Professor and Assistant Professor of Operations Research at the Naval Postgraduate School (NPS). He graduated from the United States Naval Academy in 2003 with a B.S. in Mathematics, earned an M.S. in Applied and Computational Mathematics from Johns Hopkins University in 2022, and completed his Ph.D. in Applied Mathematics at NPS in 2026. A career F/A-18 Hornet and Super Hornet pilot, Commander Singh served with VFA-146, VFA-22, and VFA-25, accumulating over 2,200 flight hours and 400 carrier arrested landings. A 2010 graduate of the Navy Fighter Weapons School (TOPGUN), he subsequently served as a fleet tactics instructor at Strike Fighter Weapons School Pacific. His shore assignments include strategic counterterrorism planning with the Joint Staff J5 at the Pentagon and command of Navy Talent Acquisition Group Heartland. At NPS, Commander Singh teaches data analysis, stochastic modeling, and foundational machine learning methods, with research interests in network science, fleet tactics, operational decision-making, and learning science. He brings his operational and academic experience to the Operations Analysis in Naval Operational Planning short course, connecting quantitative analytical methods with practical fleet planning challenges.

 

 

Dr. Louis L. Chen, Ph.D.

Dr. Louis L. Chen is an Assistant Professor of Operations Research at the Naval Postgraduate School (NPS). He earned his Ph.D. in Operations Research from the Massachusetts Institute of Technology in 2019, following dual degrees in computational mathematics and mechanical engineering from Rice University. His research focuses on decision-making under uncertainty, developing analytical methods to support reliable decisions when information is incomplete, variable, or adversarial. His work addresses problems in inventory management, scheduling, optimization, and complex networks, with applications to naval operational planning and decision-making. His research has appeared in Operations Research, Management Science, Mathematics of Operations Research, and leading machine learning conferences, with support from the Office of Naval Intelligence and Air Force Office of Scientific Research. At NPS, Dr. Chen teaches probability, nonlinear programming, and search and detection. He is a principal contributor to the modernization of the Operations Analysis in Naval Operational Planning short course, helping translate mathematical methods into practical analytical tools for fleet operators and planners. He also serves as a reviewer for leading journals in operations research and optimization.