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Course Criteria
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3.00 Credits
This course examines the system development and modification process. It emphasizes the factors for effective communication and integration with users and user systems. It encourages interpersonal skill development with clients, users, team members, and others associated with development, operation and maintenance of the system. Structured and object oriented analysis and design, use of modeling tools, adherence to methodological life cycle and project management standards. Prerequisite: CPSC 102. Spring.
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3.00 Credits
Students analyze techniques for organizing, storing, and retrieving large amounts of related data. Conceptual analysis as well as practical applications on computers are presented. Emphasis is placed on management control practices concerning security, privacy, integrity, and the maintenance of the data. Prerequisites: Computer Science 110, 343; Management 101. Fall.
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3.00 - 15.00 Credits
The integration of classroom theory with practical work experience under which students have specific periods of attendance at college and specific periods of employment, either full- or part-time, with or without pay. Credit may vary from three to 15 credits, but no more than four credits may be counted toward major requirements, with additional credits counted as free electives. Open only to Computer Science majors with approval of the department chair and the Vice President for Academic Affairs. Fall, Spring, Summer.
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3.00 - 15.00 Credits
The integration of classroom theory with practical work experience under which students have specific periods of attendance at college and specific periods of employment, either full- or part-time, with or without pay. Credit may vary from three to 15 credits, but no more than four credits may be counted toward major requirements, with additional credits counted as free electives. Open only to Computer Science majors with approval of the department chair and the Vice President for Academic Affairs. Fall, Spring, Summer.
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3.00 Credits
Advanced data structures, concepts, and algorithms and their application to information storage and retrieval and list processing are discussed. Prerequisite: Computer Science 211. Fall, even-numbered years. 90/Saint Francis University
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3.00 Credits
Design and analysis of algorithms with an emphasis on problems involving strings, sequences and trees. The problems are generally taken from the domain of Computational Biology. There will be coverage of algorithm design techniques, the basics of asymptotic analysis of algorithms, NP-Completeness. Prerequisites: Computer Science 401. Spring, odd-numbered years.
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3.00 Credits
Building upon the introductory course on web application development, the key concepts, principles and technologies of web application development are covered. A particular platform of the instructor's choosing will be used throughout the course in order to develop various web applications. Prerequisites: Computer Science 209. Fall, odd-numbered years.
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3.00 Credits
Introduction to the models and issues concerned with the development of high-quality software. Application of software engineering methodology to the planning, specification, design, development, testing, and delivery of a large software project. Prerequisite: Computer Science 211. Fall, even-numbered years.
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3.00 Credits
Introduction to the general concepts of programming language design and implementation; underlying principles of various types of languages are discussed; exposure to various programming languages not used in other courses. Prerequisite: Computer Science 211. Spring, odd-numbered years.
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3.00 Credits
Students learn the fundamental tasks involved in system administration as well as how to install, configure, and administer network services such as DNS, Sendmail, Apache, Samba, in a Linux environment. Prerequisites: Computer Science 209. Fall, odd-numbered years.
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