Courses

CS 624 HANDS - ON NETWORK SECURITY   3.0 Credit(s)
Designed for IT graduate students, this course uses VMWare of Connectix Virtual PC to simulate different environments. It examines networking security topics, firewalls (using Linux), packet filters, NAT, PAT, socks and HTTP proxies, public key infrastructure (using Microsoft Certification Server), encryption algorithms, decrypting passwords, dictionary decryption, brute force decryption, certificate servers, vulnerability assessment, identifying security holes, forensics, tracing, log analysis, Layer 5 vulnerabilities (Services/Daemons and OS), identifying denial of service attack (simulation), identifying a virus/work attack (simulation), and packet monitoring (sniffing). Prerequisite: Take CS-621 or CS-560
Offered: As Needed Contact Department

BUAN 660 APPLIED STATISTICS   3.0 Credit(s)
This course introduces students to basic mathematical and statistical methods and models, as well as their software applications for solving business problems and/or in making decisions. Included topics are linear regression, analysis of variance, introductory time series analysis & forecasting and several advanced applications of the general linear model. This course uses numerous case studies and examples from economics, finance, marketing, operations and other areas of business to illustrate the realistic use of statistical methods. Prerequisite: Take BUAN-651
Offered: All Semesters All Years

BUAN 670 DATA MINING   3.0 Credit(s)
Data mining involves decision making by detecting patterns, and cluster analysis. This course introduces data mining techniques, real-world applications and its challenges. A number of well-defined data mining tasks such as classification, estimation, prediction, affinity grouping and clustering, and data visualization will be discussed. The course will provide students with a sound understanding of how to utilize data mining to enhance business productivity in a variety of business applications. Prerequisite: Take BUAN-660
Offered: All Semesters All Years

BUAN 680 PRICING AND REVENUE ANALYTICS   3.0 Credit(s)
Pricing and revenue analytics is a set of practices and tools that firms use to optimize product & service choices, pricing, and promotion strategies. Students will be able to identify and develop opportunities for revenue optimization in different business contexts including the retail, telecommunications, entertainment, financial services, health care, manufacturing, among others. Adoption of these modeling techniques in the on-line advertising, online retailing, and online markets will also be discussed. Prerequisite: Take BUAN-651
Offered: All Semesters All Years

BUAN 655 DATABASE MANAGEMENT   3.0 Credit(s)
To compete in a data-driven world, data analytic skills and database skills are key. Before data is analyzed, correct data first needs to be chosen and pulled from a database within your organization or your client's organization. While the term big data is influenced by the rise of unstructured data (no-SQL database), structured data (SQL/relational database) remains a large and important component because structured data is driven by business processes and workflows. This course mainly focuses on process-driven/structured data and a relational database. This course is not designed to develop database building skills. A large focus of this course is placed on an understanding of database schema (or how business data is collected in relation to other business data) and SQL coding techniques for selecting the right data for the purpose of further analysis.
Offered: Fall Semester All Years

BUAN 690 APPLIED ANALYTICS PRACTICUM   3.0 Credit(s)
The course utilizes an integrative team project that gives students the opportunity to demonstrate an understanding of the core competencies taught throughout the program and apply them to real business concerns. Prerequisite: Take BUAN-651
Offered: All Semesters All Years

BUAN 651 INTRO TO DATA AND PROGRAMMING   3.0 Credit(s)
This course introduces fundamentals about data and the standards, technologies and methods for organizing, managing, curating, preserving, and using data. The course will teach students the use of software such as Python for data manipulation, analysis and visualization. The course also incorparates broader issues surrounding data, including technologies, behaviors, organizations, policies, and society. Special attention will be given to ethical issues surrounding data, soical and historical perspectives on data with ethics and policies to help students develop a workable understanding of current ethical issues in data science. Finally, the ethical issues will be addressed that arises throughout the lifecycle of data - from collection to storage to analysis and application.
Offered: Fall & Spring Semesters All Years

BUAN 665 DATA VISUALIZATION   3.0 Credit(s)
Visualizations are graphical depictions of data that can improve comprehension, communication, and decision making. This course is an introduction to the principles and techniques for data visualization. In this course, students will learn visual representation methods and techniques that increase the understanding of complex data and models. Emphasis is placed on the identification of patterns, trends and differences from data sets across categories, space, and time. Prerequisite: Take BUAN-651
Offered: All Semesters All Years

BUAN 675 GLOBAL SUPPLY CHAIN ANALYTICS   3.0 Credit(s)
In this course, students learn the concepts and development of analytical model building as used in global supply chain decisions. Topics include forecasting and inventory management, sales and operations planning, transportation, logistics and fulfillment, purchasing and supply management, supply chain risk management, etc. in manufacturing, trade and service industries. Students learn to define the right data set, ask the right questions to drive supply chain efficiency and business value and use the right models and tools to develop data-driven decisions. Software packages such as Python will be utilized.
Offered: Spring & Late Spring Semesters All Years

BUAN 685 BUSINESS STRATEGY & ANALYSIS   3.0 Credit(s)
This course explores the strategic role of analytics and business intelligence in an organization. Students will learn to evaluate the strategic environment of an organization, use strategic models to formulate a strategy and the implementation of that strategy. The course will then emphasize the interplay between analytics and strategic considerations in an organization. Students will learn the practicual application of analytics to formulate an organization's strategy and reversely the influence of the organization's strategy to nature of the analytics within the organization.
Offered: Fall, Spring & Late Spring Sem All Years

PS 605 APPLIED PRACTICUM   3.0 Credit(s)
Supervised fieldwork in an area related to the students professional interests and program content. Course requirements include a site supervisor and a faculty supervisor, and a fieldwork placement.
Offered: Modules Even Semesters All Years

HR 639 SELECTION AND RECRUITMENT   3.0 Credit(s)
This course focuses on the integral aspects of the selection, recruitment, and hiring process within an organization. In this course, we will take an in-depth examination of the practices and systems within the workplace that can impact selection, recruitment, and hiring processes. By the end of the course, students will be able to demonstrate and understanding of the different human resoruce staffing functions. Students will also be able to design and implement their own custom-made selection system.
Offered: Late Spring Semester All Years

MFIM 651 REAL ESTATE APPRAISAL   3.0 Credit(s)
This course introduces the basic principles and procedures of real estate appraisal. Topics include the real estate market, principles of valuation, building and site analysis, legal concepts, and the application of the three approaches to real estate valuation. Single family housing and rural lands will be highlighted.
Offered: Spring Semester All Years

MFIM 652 DECENTRALIZED FINANCE (DEFI) & CRYPTO   3.0 Credit(s)
This course covers the technologies, algorithms and practices shattering the long-standing status quo of a financial system built around powerful central authorities. One key mechanism, the "blockchain", will be studied in detail, including technical details of how high throughput is achieved. Finally, we will study cryptocurrencies as one particularly active use of these underlying technologies. Prerequisite: Take MFIM-638
Offered: Spring Semester All Years

AT 647 MANAGEMENT STRATEGIES IN HEALTHCARE   2.0 Credit(s)
This course will focus on fundamental principles of administration and evaluation of the delivery of athletic training services in the context of the larger health care system. Discussion of administrative and professional practice concerning operations and strategies to achieve best patient outcomes.
Offered: Fall Semester All Years