Robert Parody Headshot

Robert Parody

Associate Professor
School of Mathematical Sciences
College of Science

585-475-5288
Office Location

Robert Parody

Associate Professor
School of Mathematical Sciences
College of Science

Education

BS, Clarkson University; MS, Rochester Institute of Technology; Ph.D., University of South Carolina

Bio

Previously, Dr. Parody worked in industry as a quality consultant and six sigma blackbelt improving processes and products. He has experience in industries such as pharmaceuticals, medical devices, filtration, and aluminum casting.

585-475-5288

Currently Teaching

STAT-699
0 Credits
See the graduate program coordinator or RIT's Office of Cooperative Education for further details.
MFET-797
3 Credits
This course provides the MMSI graduate students an opportunity to complete their degree requirements by addressing a practical real-world challenge using the knowledge and skills acquired throughout their studies. This course is not only the culmination of a student's course work but also an indicator of the student's ability to use diverse knowledge to provide a tangible solution to a problem. The capstone project topic can be in the areas of product development, manufacturing automation, management system, quality management or electronics packaging. The course requires a comprehensive project report and a final presentation.
MFET-798
0 Credits
Continuation of Capstone
STAT-792
3 Credits
This course is designed to provide a capstone experience for MS students at the end of the graduate studies, and will require a synthesis of knowledge obtained from earlier coursework.
STAT-790
1 - 6 Credits
This course is a graduate course for students enrolled in the Thesis/Project track of the MS Applied Statistics Program. (Enrollment in this course requires permission from the Director of Graduate Programs for Applied Statistics.)
STAT-799
1 - 3 Credits
Credit will be assigned at the discretion of the department. A written proposal of the work involved will be required of the candidate, and may be modified at the discretion of the faculty involved before approval is given to proceed.
STAT-791
0 Credits
This course is a graduate course for students enrolled in the Thesis/Project track of the MS Applied Statistics Program. (Enrollment in this course requires permission from the Director of Graduate Programs for Applied Statistics.)
STAT-701
3 Credits
This course is an introduction to experimental design with emphases on both foundational and practical aspects. Topics include the role of statistics in scientific experimentation, completely randomized designs, randomized complete block designs, Latin square designs, incomplete block designs, nested designs, general factorial designs, split-plot designs, two-level fractional factorial designs, and response-surface methodology.
STAT-784
3 Credits
The course develops statistical methods for modeling and analysis of data for which the response variable is categorical. Topics include: contingency tables, matched pair analysis, Fisher's exact test, logistic regression, analysis of odds ratios, log linear models, multi-categorical logit models, ordinal and paired response analysis.
MATH-252
3 Credits
This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. The statistical software package MINITAB will be used for data analysis and statistical applications.
STAT-614
3 Credits
Statistical tools for modern data analysis can be used across a range of industries to help you guide organizational, societal and scientific advances. This course is designed to provide an introduction to the tools and techniques to accomplish this. Topics covered will include continuous and discrete distributions, descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one-way ANOVA and Chi-square tests.