Mathematics Professional Development Sequences
The Department of Mathematics and Statistics offers seven professional development sequences (PDS). Each PDS is described below in the program of study section. Each PDS is designed to give students a thorough grounding in one particular subject in mathematics, statistics or operations research.
Admission
Graduate students who are officially admitted to, and in good standing with, the Graduate School may enroll in a PDS in the Department of Mathematics and Statistics provided they have the approval of the Graduate Program Director. Students enrolled in a PDS need not be graduate students in the Department of Mathematics and Statistics and they be an unclassified graduate student. Students are expected to have completed all courses that are prerequisites to the required courses in the PDS.
Program of Study
PDS programs of study are as follows:
Quality and Reliability
STAT 484 Reliability Engineering
STAT 488 Design and Control of Quality Systems
STAT 584 Reliability Theory
STAT 588 Advanced Quality Control
Design and Analysis of Experiments
STAT 480a,b Mathematical Statistics
STAT 481 Design and Analysis of Experiments
STAT 581 Advanced Experimental Design
Applied Statistics
STAT 478 Time Series Analysis
STAT 481 Design and Analysis of Experiments
STAT 482 Regression Analysis
STAT 483 Sample Surveys
Mathematical Programming
OR 440 Deterministic Models
OR 587a,b Mathematical Programming
Simulation
OR 442 Simulation
OR 585 Simulation Theory
OR 586 Simulation Modeling and Languages
Numerical Analysis
MATH 465 Numerical Analysis
MATH 466 Numerical Linear Algebra with Applications
MATH 565 Advanced Numerical Analysis
Differential Equations
MATH 464 Partial Differential Equations
MATH 465 Numerical Analysis
MATH 552 Theory of Ordinary Differential Equations
MATH 567 Topics in Applied Mathematical Analysis
Data Science and Statistical Modeling
STAT 478 Time Series Analysis
STAT 482 Regression Analysis
STAT 489 Applied Statistical Learning and Data Mining
STAT 589 Applied Multivariate Analysis
STAT 579 Discrete Multivariate Analysis
