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Course Criteria
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3.00 Credits
A first course of a sequence to the applied field of Operations Research. The first course starts by giving a general and broad overview of Operations Research. The course focuses on deterministic models, especially linear programming, integer programming, network optimization and non-linear programming.
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3.00 Credits
This course explores techniques and tools for creating effective data visualizations. The course covers the creation and exploration of visualizations for categorical data, time series data, spatial and geospatial data. SAS software will be used for this course.
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3.00 Credits
This course covers an introduction to big data analysis tools. The course provides an overview of SAS, Hadoop and other big data tools. The course covers the structure and framework of data analytic tools and covers the use of these tools to perform various analyses.
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3.00 Credits
This course is intended to provide the student with an introduction to big data, big data analytics and several methods useful in big data analytics such as clustering, association rules and various forms of regression. SAS statistical software will also be introduced and used to solve data problems.
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3.00 Credits
An introduction to cryptography with the number theory portion tied in. The following topics will be covered: Modular Arithmetic, Classical Cryptography, Public Key Cryptography, Introduction to Complexity, and their corresponding implementations in an appropriate computer programming language.
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3.00 Credits
Covers the basics for several multivariate statistical analyses. The course begins with a review of univariate and bivariate statistics and continues on to cover regression, multiple regression, multivariate analysis of covariance, discriminant analysis, logistic regression and survival analysis.
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3.00 Credits
This course is designed for the certificate in Data Science to provide hands-on experience in the area of data science. This experience will enable students to apply their knowledge of data science and provide valuable experience in the application of methods studied within the program that should enhance their job opportunities upon graduation. Students will receive experience with real world data. Analysis will be completed using SAS.
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3.00 Credits
The second course of a sequence to the applied field of operations research. The second course continues the in-depth study of operations research. The course focuses on non-deterministic models, decision analysis and games, probabilistic inventory models, Markov chains, queuing systems, simulation modeling, non-linear programming algorithms, probabilistic dynamic programming and Markovian decision processes.
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3.00 Credits
This course provides an introduction to and in-depth development of nonparametric statistics. It includes the introduction of nonparametric inference testing including the Wilcoxon Test, the Mann-Whitney test, the Ansari-Bradley test, the Kruskal-Wallis test, the Kendall test and the Theil test along with their associated estimators. Students will also learn how to run analyses within a statistical software program.
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3.00 Credits
This course builds the foundation for all MBA students at the outset of the program. It is designed to refresh and/or introduce essential aspects of business management, including: economics, accounting, finance, operations management, quantitative research techniques, business law, marketing, and statistics. Throughout the course students will practice APA writing format, create research-based documents and formulate a plan for academic success within the MBA program
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