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List of Courses
* All credit hours are based on the current term, this may vary for previous terms.
| ISBP300 - Information Systems Fund. |
(3 credit hours) |
Information systems (IS) and their roles in today's business and organization; Distinction between IS and IT; Stakeholders and their roles in using IS for competitive advantage; Use of IS to gain and sustain competitive advantage; Characteristics of various types of organizational systems; Roles of telecommunications and the Internet in business and organization; e-Commerce, Intranets, and Extranets as parts of IS in Organizations; Overview of IS Planning for IS strategic management and use of IS in organization. (Prerequisite: ITBP312)
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| Prerequisite: |
- ITBP312
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| Corequisite: |
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| Semester: |
Fall Spring |
Go To Index |
| ISBP309 - Enterprise Information Systems |
(3 credit hours) |
This course focuses on enterprise-level information systems, technologies, and infrastructures used by large organizations. The course provides the fundamental knowledge associated with the managerial, technological, and organizational issues of enterprise-wide information systems, which are beyond the traditional organizational boundaries. Course topics include: introduction to enterprise systems; enterprise systems architecture; systems integration; enterprise-wide information systems development life cycle; implementation strategies; software and vendor selection; pre- and post-implementation; project management; organizational change and business process reengineering (BPR); global, ethics, and security management issues; supply chain management systems; and customer relationship management (CRM) systems (Prerequisite: ITBP307 Information Systems Fundamentals).
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| Prerequisite: |
- ITBP307
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ISBP431 - Advanced Database Systems |
(3 credit hours) |
Implementation of a database using an enterprise database management system; Database design theory; Database queries; Advanced database techniques namely object-oriented, distributed databases, knowledge-based systems and rule-based reasoning; Data warehousing; Multimedia databases; Data mining techniques and models; Transaction processing. (Prerequisite: ITBP340)
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| Prerequisite: |
- ITBP340
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| Corequisite: |
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| Semester: |
Fall Spring |
Go To Index |
| ISBP440 - Business Intelligence |
(3 credit hours) |
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| Prerequisite: |
- ITBP340
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ISBP455 - Knowledge Management |
(3 credit hours) |
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| Prerequisite: |
- ISBP301
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ISBP490 - Senior IS Exhibition |
(3 credit hours) |
Students working in teams demonstrate through actual performance that they have attained the entry-level professional level in information systems. Teams will complete a complex system design that integrates knowledge from the junior year and satisfies an external customer. Pre-requisites: ISBP 390
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| Prerequisite: |
- ITBP290
- ITBP299
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ISBP632 - Data Mining &Business intellig |
(3 credit hours) |
Due to advances in IT, the amount of modern data comprises huge files of divers types, resulting in data rich but information poor organizations. To facilitate discovery of information patterns and trends, new approaches are required. Data mining techniques can help companies discover information and acquire business intelligence from these massive datasets. This course covers data mining for business intelligence. Data mining refers to extracting or “mining” knowledge from large amounts of data and consists of techniques that aim at discovering patterns that can bring value or “business intelligence” to organizations, for example consumer behavior. The course covers salient data mining techniques including classification, clustering, association rule mining, visualization and prediction.
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ISBP634 - Enterprise Computing |
(3 credit hours) |
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ITPG613 - Data Mining & Stat. Analysis |
(3 credit hours) |
Data modeling and database design, univariate and multivariate analysis, linear
and logistic regression, distributed and object-oriented databases, web clickstream
analysis, uncertainty measures and inference, linear models, evaluation of data
mining models, XML data models, cluster analysis, classification, association,
multilayer perceptron models, OLAP.
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ITPG643 - Adv. Tech. & Application in DM |
(3 credit hours) |
General text mining, social network analysis, spatial data mining, Web mining, stream data, time-series data and sequence data, recent applications and emerging trends in data mining applications.
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
Spring |
Go To Index |
| ITPG677 - Enterprise Computing |
(3 credit hours) |
Deployment of enterprise computing solutions, concepts and issues in enterprise computing and integration, best practices of distributed computing for enabling enterprise computing, Web technologies for implementing enterprise applications and services, modular components and application servers for building enterprise applications.
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
Fall Spring |
Go To Index |
| ITPG678 - Enterprise Architectures |
(3 credit hours) |
Information strategy, systems thinking, business architectures, data architectures,
information architectures, application architectures, technology architectures, and
enterprise architecture frameworks.
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
All |
Go To Index |
| ITPG693 - Special Topics in ES |
(3 credit hours) |
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| Prerequisite: |
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| Corequisite: |
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| Semester: |
All |
Go To Index |
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