Dr. Maria Rieders

Professor

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Biography

Maria Rieders is an Adjunct Professor at the Wharton School of the University of Pennsylvania, specializing in operations, information, and decision sciences. She earned her M.Sc. in applied mathematics from the University of Ulm, Germany, in 1984, and completed her Ph.D. in business administration at the University of Rochester in 1990. Her extensive teaching experience includes undergraduate and graduate courses, particularly in stochastic models, queueing theory, and dynamic programming. Rieders has been recognized for her outstanding teaching at Northwestern University, where she previously held a faculty position in the Department of Industrial Engineering and Management Sciences. Her research interests primarily focus on stochastic models and computational methods for large-scale systems, with applications in performance analysis of communication systems and production facilities. Rieders has collaborated on research funded by the National Science Foundation and Ameritech Corporation and has experience in industrial consulting. Additionally, she has held positions at the Allensbach Institute for Public Opinion Research and as a visiting researcher at the Institute of Operations Research at the University of Bonn, Germany.

Research Interests

Courses

OIDD2200 - Operations Management OIDD9300 - Stochastic Models OIDD9310 - Stochastic Models II OIDD9320 - Queuing Theory OIDD9340 - Dynamic Programming

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.