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  • 3.00 Credits

    This course provides an understanding of the concepts of Business Intelligence (BI) as an information technology approach of data collection and data analysis to help enterprise users make better managerial decisions. The course explores the detailed discussion of the analysis, design, and implementation of systems for BI including enterprise data-warehousing, knowledge management systems, big data, and text mining. The course will help students learn analytical components and technologies to integrate, analyze and report data. The course will utilize Microsoft BI tools including Microsoft Power BI desktop, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS). Prerequisite:    MIS 2030
  • 3.00 Credits

    This course will examine how data mining technologies can be used to improve decision-making. Students will study the principles and techniques of data mining, including gaining knowledge of the algorithms and computational paradigms that allow computers to find patterns in large datasets. Students will examine real-world examples and cases to place data-mining techniques in context, to develop data-analytic thinking, and to illustrate that proper application is as much an art as it is a science. Prerequisite:    MIS 2030
  • 3.00 Credits

    This course provides an introduction to the design, operation, and management of telecommunication systems. It covers computer network definitions, concepts and principles, including (but not limited to): server management; topologies; protocols; standards; and fundamental concepts related to data communication networks. Prerequisite:    IST 2020 and IST 2410 and IST 3110 and MIS 2020 and MIS 2410 and MIS 3110
  • 3.00 Credits

    In this intensive hands-on course, the student will acquire the skills and techniques needed to configure, troubleshoot and support reliable TCP/IP internetworks. The student will learn the essentials of building an internetwork, including routing, configuring the Domain Name Server (DNS), setting up and managing a web server, configuring a firewall and IDS, and standards-based email. Students will also participate in configuring clients, redesigning networks and troubleshooting routing. Prerequisite:    BSAD 2899 and GSBE 0 and IST 3610 and MIS 3610
  • 3.00 Credits

    This course provides students with knowledge of technologies needed in planning, implementing and supporting web-hosted applications and on-line commerce. Topics include web and commerce server design and deployment, search engines n-tier web architecture and supporting software, client-side/server-side programming with data-bound controls and session management, e-business application languages, markup languages, on-line payment mechanisms, systems reliability and security, scalability analysis, and solutions sourcing. Prerequisite:    BSAD 2899 and GSBE 0 and IST 2020 and IST 2110 and IST 3110 and MIS 2020 and MIS 2110
  • 3.00 Credits

    This course shows how information technology is used as a key competitive advantage by multinational and transnational businesses. Topics include global perspectives on coordination and control, cultural dimensions, and geo-political considerations of global information technology applications. Prerequisite:    BSAD 2899 and GSBE 0
  • 3.00 Credits

    This course builds on the software development skills learned in Software Development I. Topics include class hierarchies, inheritance and interfaces, object aggregation, data structure and collections, file management, threading, network programming, and the design of multi-tiered, distributed computing applications involving relational databases. Prerequisite:    BSAD 2899 and GSBE 0 and IST 2720 and MIS 2720
  • 3.00 Credits

    This course provides the knowledge and skills to design and implement computer-based systems to solve business problems. Topics include feasibility studies, requirement analysis, system design and development, implementation and testing. Students will learn the use of appropriate methodologies and tools, including object-oriented modeling and the use of computer-aided software engineering (CASE). Prerequisite:    BSAD 2899 and GSBE 0 and IST 3210 and MIS 3210
  • 3.00 Credits

    This course is designed to teach and give students hands-on experience with cutting-edge machine learning methods used frequently in business contexts. Many companies have made significant contributions to the field of data analytics with products and services they've launched. This class is designed to prepare students to participate in such analysis to make significant business impact. We examine Netflix- and Amazon-style recommender systems and market basket analyses, customer segmentation and classification, Zillow-style prediction of home sale prices, and other business-relevant examples. Prerequisite:    MIS 2030
  • 3.00 Credits

    This course gives students knowledge regarding the best practices in designing or developing electronic presentations, meetings, and collaborations. This course also familiarizes students with technologies fostering effective communication in virtual situations. Prerequisite:    BSAD 2899 and GSBE 0 and MGMT 3200 and NTM 3250 and PS 3250 and TBE 3250