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  • CSC 2495: Computer Problem Solving

    3.00 Credits
    Saint Joseph's University

    Techniques for solving problems through computer simulation. Applications considered include approximation of solutions to differential equations, the Monte Carlo method and chaotic phenomena. Prerequisites: CSC 1605, MAT 1275.
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  • CSC 2655: Web Design

    3.00 Credits
    Saint Joseph's University

    This course is a discussion of web page development technologies and is designed to instruct students on how to hand code a web page in addition to using a current design and development tool. Topics include design of web client sites using HTML, cascading style sheets (CSS), forms and Javascripts. Several projects are assigned using the popular web development tool Dreamweaver and its various libraries. Prerequisite: CSC 2305.
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  • CSC 2855: Project in Computer Science

    3.00 Credits
    Saint Joseph's University

    An independent project under the supervision of a member of the faculty. Permission of the instructor required.
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  • DSS 1015: Introduction to Information Systems

    3.00 Credits
    Saint Joseph's University

    This course provides the student with an introduction to information systems and information technology as it is applied in the 21st century. Students will explore the fundamentals of information technology and gain a basic fluency in information technology tools, Microsoft Office tools and web usage. In addition, students will develop their fundamental business communication skills, oral and written presentation, and business analytic skills, summarizing and displaying data.
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  • DSS 1315: Business Statistics

    3.00 Credits
    Saint Joseph's University

    This course covers probability concepts as well as descriptive and inferential statistics. The emphasis is on practical skills for a business environment. Topics include probability distributions, estimation, onesample and two-sample hypothesis testing, inferences about population variances, and chi-square test of independence. Students will also become familiar with spreadsheet applications related to statistics and with statistical software. Prerequisite: DSS 1015, MAT 1155-1165.
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  • DSS 2015: Quantitative Methods for Business

    3.00 Credits
    Saint Joseph's University

    Every organization must manage a variety of processes. In this course the student will development an understanding of how to evaluate a business process. Additionally, the art of modeling, the process of structuring and analyzing problems so as to develop a rational course of action, will be discussed. The course integrates advanced topics in business statistics-linear and multiple regression and forecasting, production and operations management-linear programming and simulation, and project management. Excel software is used for problem solving. Prerequisite: DSS 1315.
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  • DSS 2315: Database Management

    3.00 Credits
    Saint Joseph's University

    The course provides an in-depth understanding of the database environment. Besides covering the important process of database design, this course comprehensively covers the important aspects of relational modeling including SQL and QBE. Students will be required to design and develop a database application using a modern fourth generation language system. Prerequisite: DSS 1015. BI Certificate requirement.
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  • DSS 2715: Decision Support System Modeling

    3.00 Credits
    Saint Joseph's University

    We will build a basic understanding of supply chain issues and learn to model some of the problems encountered in supply chain management. This course will introduce methods for creating user-friendly applications and models in Excel by taking advantage of the powerful macro language for Microsoft Office, Visual Basic for Applications (VBA). The skills to analyze and present the results in a nontechnical matter will be developed through a series of practical exercises.
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  • DSS 2725: Advanced Decision- Making Tools

    3.00 Credits
    Saint Joseph's University

    This course focuses on the application of decision-making tools used to develop relationships in large quantities of data for more than two-variables. Comprehension of when to use, how to apply, and how to evaluate each methodology will be developed. This course will additionally provide an introduction to data mining tools. Data Mining consists of several analytical tools, such as neural networks, decision trees, evolutionary programming, genetic algorithms, and decision trees, used to extract knowledge hidden in large volumes of data. An understanding of how these data mining tools function will be developed so as to provide insight into how to apply these tools. Statistical and data mining software will be used. Prerequisite: DSS 1015 and DSS2015. BI Certificate requirement.
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  • DSS 2735: Enterprise Resource Planning

    3.00 Credits
    Saint Joseph's University

    Business Intelligence is a process for professionally gathering, processing and disseminating decisionmaking information to business leaders. Business intelligence (BI) encompasses a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. This course is a project course in which student groups will take large sets of data and transform the data into business intelligence. Topics covered will include how to download data from large systems, learn about the design of large data bases; get a clearer view of what information is valuable to different users; learn how to drill down, perform a process analysis, develop a decision-making model, and present orally with written analysis of the strategic implications of their model. Prerequisite: DSS 1015. BI Certificate requirement.
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