Education

University of Michigan, Ann Arbor - M.S.E. Industrial & Operations Engineering, Operations Research

Study Emphasis:

• Stochastic dynamic programming, Markov Chains and processes, and renewal and semi-regenerative Poisson processes
• Discrete event simulation for modeling and analysis of manufacturing and healthcare systems

 

University of Michigan, Ann Arbor - B.S.E. Industrial & Operations Engineering

Study Emphasis:

• Optimization and queueing simulation modeling applications such as facility location, resource allocation, and workforce, inventory, and production modeling
• Dynamics of In-Plant flows and the underlying behavior and management of manufacturing systems
• Technische Universität Berlin, Berlin, Germany – Sustainable Engineering & Global Innovation in manufacturing

Contact Information

Email: nicolebatty@weber.edu

 

Courses Taught

• SE 6130 Overview of Systems Engineering Processes
• SE 6140 Design for Operational Feasibility
• SE 6320 Simulation Modeling and Engineering Optimization: Methods/Applications
• SE 6500/6510 Design Project
• SE 6330 Weaponeering & Monte Carlo Simulation
• SE 6900 Grammar of Systems & Cybernetics
• SE 6400 MBSE III, Simulation & The Data Sciences

Weber State University, Ogden, Utah

Director of Masters of Science in Systems Engineering MSSE Program (2021-present)

Instructor - Masters of Science in Systems Engineering MSSE (2021 – present)

Instructor – Bachelors of Science Manufacturing Systems Engineering BS (2019 – 2023)

Adjunct - Manufacturing Technology (2008-2009)

 

Industry Experience

Nicole Falkenberg received her Masters degree from The University of Michigan, Ann Arbor, in Operations Research.  Before coming to Weber State University, she spent over 15 years in the aerospace and automotive industries.  In both industry and academia, her focus has been complex manufacturing systems and processes.  Her passion is operations management with a focus in the data sciences and business intelligence, more specifically descriptive and prescriptive analytics.

Aerospace – Large scale optimization of complex manufacturing systems, the data sciences, and business intelligence

Automotive – General Motors – In-Plant flows

Semi-conductor – Intel - CVD and PVD deposition processes

Pharmaceutical –Wyeth/Pfizer - Powder feeding and blending processes and CGMPs