JQ

Julianne Dorothy Quinn

Assistant Professor
Unit: School of Engineering and Applied Science
Department: Department of Systems and Information Engineering
Office location and address
151 Engineer's Way
Charlottesville, Virginia 22903
PAD Ice Jam Flood Frequency Analysis
Source: Tufts University
April 15, 2021 – May 14, 2021
SYS 4021: Linear Statistical Models
Credits: 4
This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on the theory and practice of model construction while laboratories provide a series of open-ended problem solving situations that illustrate the applicability of the models. Prerequisite: SYS 3060, APMA 3120, and major in systems engineering.
SYS 4053: Systems Design I
Credits: 3
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 3021, 3060, and fourth-year standing in the Systems Engineering major.
SYS 4054: Systems Design II
Credits: 3
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 4053.
CE 5500: Special Topics in Civil Engineering
Credits: 1–3
Applies basic engineering principles, analytical procedures and design methodology to special problems of current interest in civil engineering. Topic for each semester are announced at the time of course enrollment.
SYS 6021: Statistical Modeling I
Credits: 3
This course shows how to use linear statistical models for analysis in engineering and science. The course emphasizes the use of regression models for description, prediction, and control in a variety of applications. Building on multiple regression, the course also covers principal component analysis, analysis of variance and covariance, logistic regression, time series methods, and clustering. Course lectures concentrate on theory and practice.
APMA 6430: Statistics for Engineers and Scientists
Credits: 3
Analyzes the role of statistics in science; hypothesis tests of significance; confidence intervals; design of experiments; regression; correlation analysis; analysis of variance; and introduction to statistical computing with statistical software libraries. Prerequisite: Admission to graduate studies.
CE 8999: Thesis
Credits: 1–12
Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. Registration may be repeated as necessary. Prerequisites: Instructor Permission
SYS 8999: Non-Topical Research, Masters
Credits: 1–12
Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 9997: Graduate Teaching Instruction
Credits: 1–12
For doctoral students.
SYS 9999: Dissertation
Credits: 1–12
For doctoral students.
CE 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. Prerequisites: Instructor Permission