Academic Catalog 2020-2021

Slippery Rock University

Mathematics and Statistics

Contact Info
ChairSecretaryLocationDepartment Phone
Dr. Richard MarchandTBA200 Vincent Science Center724-738-2061

Department Web Site URL

Graduate Coordinator
Dr. Dilruksha Singhabahu

Faculty

James Anthony
Instructor
Mathematics & Statistics

Jana Asher
Assistant Professor
Mathematics & Statistics
Ph.D., Carnegie Mellon University
M.S., Carnegie Mellon University
B.A., Wellesley College

Joshua Ballew
Assistant Professor
Mathematics & Statistics
Ph.D., University of Maryland College Park
B.A., St. Mary's College of Maryland

Boris Brimkov
Assistant Professor
Mathematics & Statistics
Ph.D., Rice University
M.A., Rice University
B.S., State University of New York at Buffalo

Danielle Dumbeck
Instructor
Mathematics & Statistics
M.E., Slippery Rock University
B.S., Slippery Rock University

Amanda Goodrick
Instructor
Mathematics & Statistics
M.S.M., Youngstown State University
B.S., Slippery Rock University

Elise Grabner
Professor
Mathematics & Statistics
Ph.D., Ohio University
M.S., Ohio University
B.S., Ohio University

Nicholas Hurl
Assistant Professor
Mathematics & Statistics
Ph.D., University of Pittsburgh
B.S., Kent State University

Woosuk Kim
Associate Professor
Mathematics & Statistics
Ph.D., University of Cincinnati
M.S., University of Cincinnati
M.S., Texas A &M University
B.S., Pusan National University Institution Korea

Richard Marchand
Professor
Mathematics & Statistics
Ph.D., University of Virginia
B.S., Clarion University

Kirk McDermott
Assistant Professor
Mathematics & Statistics
Ph.D., Oregon State University
M.S., Oregon State University
B.A., Earlman College

J Lyn Miller
Assistant Professor
Mathematics & Statistics
Ph.D., University of Maryland
B.S., Slippery Rock University

Jeffrey Musyt
Assistant Professor
Mathematics & Statistics
Ph.D., University of Oregon
M.S., University of Oregon
B.S., University of Scranton

Dilrukshika Singhabahu
Associate Professor
Mathematics & Statistics
Ph.D., University of Pittsburgh
B.S., Slippery Rock University

Courses

MATH Courses

MATH 590 -  Experimental  

A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment limited to students with a semester level of Graduate.

MATH 595 -  Workshop  

A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.

Credits: 1-6

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 598 -  Selected Topics  

A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 611 -  Optimization Models  

An introduction to creating, analyzing, solving and interpreting real-world optimization models. Topics include linear, discrete and nonlinear optimization techniques, linear and integer programming, the simplex method, sensitivity, duality, graphical analysis and branch-and-bound techniques. Applications include transportation problems, finance scheduling, networks and supply chains. Appropriate software tools for analyzing optimization models including MATLAB and spreadsheet software.

Credits: 3

Term(s) Typically Offered: Offered Fall Terms

Enrollment is limited to Graduate level students.

MATH 668 -  Model Analysis  

An intorudction to decision theory applied to complex and dynamic business, industry and health care problems. Topics include multi-criteria decision theory, Bayesian decision theory, decision analysis under undertainty and risk, simulation, utility theory, decision trees, analytic hierarchy process, marginal analysis, choice functions, forecasting models and ethics and osical responsibility in decision making. Applications to business, engineering, health care, supply chain management, quality control, inventory control, etc. Appropriate software tools for decision theory.

Credits: 3

Term(s) Typically Offered: Offered Spring Terms

Enrollment is limited to Graduate level students.

MATH 678 -  Data Analytics Capstone I  

This is the first of two capstone courses. In this course, the student will begin a large, real-life problem working with a company problem of their choice (e.g., retail, logistics, healthcare, risk-management, etc). This project must be approved by at least one faculty mentor and/or the course instructor. Through a series of lectures, the student will be exposed to the ethics and global laws pertaining to data collection, manipulation and dissemination.

Prerequisite: STAT 672 (may be taken concurrently)C
C Requires minimum grade of C.

Credits: 3

Term(s) Typically Offered: Offered Winter Terms

Enrollment is limited to Graduate level students.

MATH 688 -  Data Analytics Capstone II  

This is a capstone course that requires students to complete a multi-dimensional data analytics project in their area of interest: health care analytics, business, engineering, etc. The project must be approved by MSDA faculty by no later than the end of the first week of the start of the course. Students will be invited to propose their own projects or create one in collaboration with MSDA faculty.

Credits: 3

Term(s) Typically Offered: Offered Summer Terms

Enrollment is limited to Graduate level students.

MATH 690 -  Experimental  

A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment limited to students with a semester level of Graduate.

MATH 695 -  Workshop  

A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.

Credits: 1-6

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 698 -  Selected Topics  

A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 700 -  Data Analytics Independent Study  

The independent study course provides an opportunity to conduct research or advanced studies in data analytics that is not covered in the current MSDA curriculum. Students work individually with a faculty member or in small groups. Specific content is determined by the instructor.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 750 -  Data Analytics Internship  

An individually designed data analytics experiential learning opportunity within a cooperating enterprise. The experience provides an opportunity to integrate, apply and expand upon the skills acquired in data analytics coursework. Learning objectives, specific activities and an anticipated timeline must be approved by the professional supervisor and faculty supervisor prior to registering for the course.

Credits: 3-9

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 790 -  Experimental  

A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment limited to students with a semester level of Graduate.

MATH 795 -  Workshop  

A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.

Credits: 1-6

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

MATH 798 -  Selected Topics  

A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT Courses

STAT 590 -  Experimental  

A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment limited to students with a semester level of Graduate.

STAT 595 -  Workshop  

A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.

Credits: 1-6

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 598 -  Selected Topics  

A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 603 -  Statistical Methods  

Statistical methods such as descriptive statistics, probability, Centrlal Limit Theorem, probability distrtibutions, statistical inference, hypothesis testing, Analysis of Variance (ANOVA), nonparametric methods and Linear regression will be covered. These topics may be taught using healthpublic health/epidemioogy examples as well as applications to business, engineering and finance.

Credits: 3

Term(s) Typically Offered: Offered Fall Terms

Enrollment is limited to Graduate level students.

STAT 630 -  Regression Methods  

Regression methods including simple linear regression, multiple linear regression, logistic regression, survival analysis, repeated measures, principal component analysis and inferential statistics applied to regression models.

Corequisite(s): STAT 603

Credits: 3

Term(s) Typically Offered: Offered Fall Terms

Enrollment is limited to Graduate level students.

STAT 656 -  Statistical Computing  

Computational data analysis is an essential part of modern statistics. Topics concerning computing and advanced statistics will be covered. Statistical analysis packages (such as SAS R, and SPSS) will be discussed and compared. Background information and computational issues in various areas of statistics will be included.

Prerequisite: STAT 630C
C Requires minimum grade of C.

Credits: 3

Term(s) Typically Offered: Offered Winter Terms

Enrollment is limited to Graduate level students.

STAT 660 -  Advanced Statistical Methods  

Statistics is used in computer algorithms (machine learning) to enhance computer decision-making and prediction capabilities. this course will cover a wide variety of topics in statistical learning methods. Major statistical methods used in machine learning such as linear regression, survival analysis and others will be discussed. Additional topics include unsupervised learning and supervised techniques such as principal component analysis, nearest neighbor, random forest, support vector machines and neural networks. Simulation methods, such as the EM algorithm, Metropolis-Hasting algorithm and the Markov Chain Monte Carlo method will also be discussed.

Prerequisites: STAT 630C and STAT 656*C (may be taken concurrently).
C Requires minimum grade of C.

Credits: 3

Term(s) Typically Offered: Offered Spring Terms

Enrollment is limited to Graduate level students.

STAT 668 -  Decision Theory  

An intorudction to decision theory applied to complex and dynamic business, industry and health care problems. Topics include multi-criteria decision theory, Bayesian decision theory, decision analysis under undertainty and risk, simulation, utility theory, decision trees, analytic hierarchy process, marginal analysis, choice functions, forecasting models and ethics and osical responsibility in decision making. Applications to business, engineering, health care, supply chain management, quality control, inventory control, etc. Appropriate software tools for decision theory.

Credits: 3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 672 -  Forecasting and Time Series  

An introduction to creating, solving, analyzing and interpreting real-world time-series and forecasting models. Topics include linear, autoregressive, moving average and other forecasting and time-series techniques, transfer functions, multivariate model building, stationary and nonstationary techniques. Applications may include all areas where forecasting is required including transportation, finance, scheduling, networks and supply chains. Appropriate software tools for analyzing forecasting models including software such as SAS and spreadsheet software will be taught.

Credits: 3

Term(s) Typically Offered: Offered Spring Terms

Enrollment is limited to Graduate level students.

STAT 690 -  Experimental  

A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment limited to students with a semester level of Graduate.

STAT 695 -  Workshop  

A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.

Credits: 1-6

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 698 -  Selected Topics  

A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 700 -  Independent Study  

Independent Study courses give students the opportunity to pursue research and/or studies that are not part of the university's traditional course offerings. Students work one on one or in small groups with faculty guidance and are typically required to submit a final paper or project as determined by the supervising professor.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 790 -  Experimental  

A unique and specifically focused course within the general purview of a department which intends to offer it on a "one time only" basis and not as a permanent part of the department's curriculum.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment limited to students with a semester level of Graduate.

STAT 795 -  Workshop  

A workshop is a program which is usually of short duration, narrow in scope, often non-traditional in content and format, and on a timely topic.

Credits: 1-6

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.

STAT 798 -  Selected Topics  

A Selected Topics course is a normal, departmental offering which is directly related to the discipline, but because of its specialized nature, may not be able to be offered on a yearly basis by the department.

Credits: 1-3

Term(s) Typically Offered: Offered as Needed

Enrollment is limited to Graduate level students.