MSI-5010 Foundations of Information Technology

This course is a survey course on information technology (IT). It is designed to give students ample opportunity to review critically emerging trends and implications for business managers and IT professionals. Topics covered include IT foundation concepts, data/information management systems, networking systems, enterprise models/systems, IT management processes, IT security, and IT ethics.

Credits: 3

Delivery Methods: Online

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MSI-5020 Telecommunications and Networking

This course examines data communication and networking technologies from the business perspective. Topics covered include the networked enterprise, telecommunication network models, communication hardware, and trends and emerging technology, such as social media, mobile computing, cloud computing, big data, and the internet of things (IoT). Emphasis is on data communications as an integral element of business.

Credits: 3

Delivery Methods: Online

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MSI-5030 Object-Oriented Application Development

This course provides students with knowledge and skills for object-oriented design and implementation of software applications. Students will learn to apply object-oriented concepts in solving computational problems and implementing structured and easily maintainable software solutions. The course also covers concepts on algorithmic design for problem solving and computer language mechanics.

Advisory: This course is designed for students with a basic understanding of computer programming. Specific programming skills or previous programming experience is not required. However, object-oriented application development will be fully explored so having a basic, working knowledge of computer programming is encouraged.

Credits: 3

Delivery Methods: Online

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MSI-5040 Information Systems Analysis, Modeling, and Design

The focus of this course is on the identification of an organization problem, the goals and the purpose of information technology (IT) systems, and how to carry out all the activities in the analysis and design of the systems. It addresses the design phases and all the techniques that are used to carry out the activities using a structured approach. Students will be required to apply these techniques to a work group project.

Credits: 3

Delivery Methods: Online

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MSI-5050 Principles of Database Design

This course covers most of the major advancements in the technology of the design, development, and management of database management systems (DBMS) as well as the theoretical concepts and applications of DBMS. Students will have hands-on experience through case study exercises and the design and implementation of projects.

Note: This course requires that students use Microsoft Access software, which is a Windows-based product and will not run on Macs. Students can run this software and other Windows software on a Mac using Apple's Boot Camp technology or third-party virtualization tools like Parallels or VMWare Fusion. These tools make it possible to run Mac OSX and a Windows operating system side by side. This solution will require a Windows license.

Credits: 3

Delivery Methods: Online

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APS-5100 Project Management for Technology

This course introduces project management from the standpoint of a manager who must organize, plan, implement, and control tasks to achieve an organization's schedule, budget, and performance objectives. Tools and concepts such as project charter, scope statement, work breakdown structure, project estimating, and scheduling methodologies are studied. Students will practice with Microsoft Project software to be able to manage a project from start to deployment. What is a project? How is it managed? What is the best approach? This course will answer those questions and many more. This is an opportunity to learn the project management fundamentals that can guide a project through a maze of challenges to successful completion. Successful projects do not occur by luck or by chance. In fact, many projects do not achieve their organization's goals.

Credits: 3

Delivery Methods: Online

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DTM-5310 Advanced Database Systems

This course covers advanced database management system design principles and techniques. Course topics include access methods, query processing and optimization, transaction processing, distributed databases, object-oriented and object-relational databases, semi-structured data, search engines, transaction management, advanced indexing, multidimensional data, performance evaluation, advanced structured query language (SQL), and database tuning. Students learn about the advanced object-relational features such as binary large objects (BLOBs), abstract data types, and methods. In addition, students learn about database programming including the use of triggers and stored procedures.

Credits: 3

Delivery Methods: Online

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DTM-5320 Data Warehouse Design

Corporate data is used to make strategic business decisions. Business intelligence (BI) is used to present data in such a way as to help businesses survive in a competitive market. A data warehouse (DW) is a read-only analytical database that is used as the foundation for BI systems and is designed to consolidate data from the various data stores supported by an organization. This course will focus on the design and technical aspects of building a data warehouse. The topics covered will include the data warehousing life cycle, data warehouse architectures, system planning, warehouse requirements gathering, schema development, warehouse design, and other implementation issues.

Credits: 3

Delivery Methods: Online

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DTM-5330 Data Analytics

Data Analytics refers to the use of analysis techniques and processes to enhance productivity and business gains. Analytics is a multidimensional discipline that uses mathematics and statistics, descriptive techniques as well as predictive models to extract and present valuable knowledge from data stores. Organizations use analytics to process business data in an effort to describe, predict, and improve business performance. In this course, students will develop the knowledge and skills needed to extract and categorize data and to identify and analyze behavioral data and patterns using methodologies and techniques tailored to meet organizational requirements. Students will learn to apply frameworks for information optimization, visual analytics, data discovery, predictive analytics, and right-time and real-time analytics.

Credits: 3

Delivery Methods: Online

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DTM-5340 Information Retrieval

This course explores the theories and methods used to search and retrieve text and bibliographic information from document repositories. Information retrieval focuses on the analysis of relevance and utility of information. The course will explore data organization and representation, and information access techniques; categorization, content analysis, data structures used for unstructured data, indexing and indexes, clustering and classification methodologies; search and navigation techniques; and search engines. In this course, students will learn to use statistical and linguistic methods for automatic indexing and classification, Boolean and probabilistic approaches to indexing, query formulation, and output ranking. In addition, students will learn to develop and analyze various data filtering methods, measures of retrieval effectiveness, and retrieval methodologies.

Credits: 3

Delivery Methods: Online

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DTM-5350 Data Mining and Knowledge Management

This course will serve to introduce students to data mining and knowledge management. Data mining (DM) is concerned with the discovery of "hidden" knowledge in large data sets. This knowledge represents one aspect of an organization's intellectual capital and is often expressed in the form of trends or major themes that reoccur in the data. Knowledge management (KM) systems are designed to exploit the results of data mining and facilitate the analysis and evaluation of both tangible and intangible knowledge assets. In this course students will explore data mining methods used for prediction and knowledge discovery. These methods include regression, nearest neighbor, clustering, K-means, decision trees, association rules, and neural networks. In addition, students will become familiar with the current theories, practices, tools, and techniques used to management knowledge assets.

Credits: 3

Delivery Methods: Online

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APS-7000 Master Project in Applied Science and Technology

The Master Project in Applied Science and Technology is designed to provide a guided in-depth experience in defining, measuring, analyzing, improving, and controlling a significant opportunity or challenge relevant to the learner's applied science or technology workplace or profession. The learner will be expected to acquire knowledge, apply real-life experience, and conduct research to make recommendations that are based upon solid data and benchmarking.

Credits: 6

Delivery Methods: Online

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