Computational Applied Mathematics and Operations Research
Professor of Computational Applied Mathematics and Operations Research
Member, Ken Kennedy Institute
Average rating
3.2
6 temporary mock ratings
Difficulty
3.5
course-linked average
Courses
4
in seeded sections
Applied probability, stochastic control, stochastic networks, queueing systems and epidemic models. Dr. Pang works with applications in service systems, healthcare, energy systems, telecommunications and epidemiology. He also have broad interests in financial engineering (econometrics), simulation and numerical methods.
CMOR 490
Semester-long undergraduate-level research on a topic in computational and applied mathematics and/or operations research. Repeatable for Credit.
CMOR 556
Stochastic networks and queueing systems in a variety of applications including service systems engineering, logistics, telecommunications, manufacturing, transportation and data centers. Topics include fundamental queueing models (Markovian, non-Markovian, single-server or multi-server) and stochastic networks, performance analysis and approximations, fluid and diffusion models under heavy traffic, simulation, optimal control (scheduling and routing) of stochastic network models.
CMOR 590
Semester-long graduate-level research on a topic in computational and applied mathematics and/or operations research. Repeatable for Credit.
CMOR 800
This course is for MA or PhD students working on their thesis research. Repeatable for Credit.
