Dean Calzada joined the Loyola University New Orleans faculty in the Department of Math in the fall of 1991. She became Dean of the College of Sciences and Natural History in 2013. Her research interests include mathematical computations with an emphasis on applications in statistical quality control. She also enjoys working on teaching projects in collaboration with faculty in her department and the natural sciences. Her teaching interests include all levels of undergraduate mathematics, but she has a special affinity for freshman level calculus. She hopes that college students will learn, understand, enjoy and use calculus as a base for deeper mathematical and scientific explorations. In 2008, she received a National Science Foundation grant to pursue interdisciplinary studies in the Loyola Chemistry Department. As a result of that grant, Dr. Calzada continues to pursue interdisciplinary research on Spectroscopy topics together with Chemistry faculty and undergraduate student researchers.
- Boyson, Toby K., Spence, Thomas G., Calzada, Maria E., and Harb, Charles C. “Frequency domain analysis for laser-locked cavity ringdown spectroscopy,” Optics Express, 19:9, 8092–8101 (2011).
- Calzada, Maria E. and Gardner, Holly. “Confidence Intervals for the Mean: To Bootstrap or not to Bootstrap,” Mathematics and Computer Education, 45:1, 25-38 (2011).
- Scariano, Stephen M. and Calzada, Maria E. “The Generalized Synthetic Chart,” Sequential Analysis, 28:1, 54-68 (2009).
- Calzada, Maria E. and Scariano, Stephen M. “Joint Monitoring of the Mean and Variance of Combined Control Charts with Estimated Parameters,” Communications in Statistics – Simulation and Computation, 36:5, 1115-1134 (2007).
- Scariano, Stephen M. and Calzada, Maria E. “Statistical Thinking with Trend Charts,” Mathematics Teacher, 100: 8, 534-541 (2007).
- Calculus I
- Math Models
- Applied Scientific Computing
- Stat Theory and Methods
- Honors Seminar: Applied Scientific Computing
Areas of Expertise
Mathematical Computations With an Emphasis on Applications in Statistical Quality Control