Course Criteria

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  • 4.00 Credits

    MATH 2216 AND CSIS 2102. MATH 2225 recommended. Not open to students with credit for MATH 4451. Introduction to probability, statistics, and stochastic processes. Emphasis on models and applications relevant to the study of computer science. Faculty: C. WU 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
  • 4.00 Credits

    CSIS 2102 and MATH 2225. The rapidly growing use and reliance on modern technology for communications, commerce and government has increased the need to protect data in storage and during transmission. This course includes the study of principles and practice regarding the protection of digital information and intrusion detection and response. Specific topics include basic concepts of cryptography, social engineering, cyber crime, privacy, and computer and network forensics. Faculty: M. KIRCH 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
  • 4.00 Credits

    CSIS 2259. Quantitative reasoning intensive course (Q1). Theories, computational techniques, and applications of stochastic models commonly employed in operations research studies, including dynamic programming, queuing, inventory, Markovian decisions and simulation. Computer techniques are extensively used. Faculty: S. KUBRICKI, S. MATHIS 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department Course Attributes: Q1- Quant Reasoning Intensive
  • 4.00 Credits

    CSIS 2102. Examines the file processing environment with file manipulation techniques for updating, deleting, and inserting records. Sequential, indexed and direct file structures are examined and subsequently used. Data Validation techniques are explored in relation to file updates. An appropriate language will be used to apply the concepts of the course and a major comprehensive project. Faculty: S. MATHIS 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
  • 4.00 Credits

    CSIS 2101 or equivalent and CSIS 2210. This course focuses on understanding how people (potential users) sense and process information and on understanding their strengths and limitations when interacting with computers. Human factors issues and ergonomics are also discussed. Offered every spring semester. Faculty: J. GERHARDT 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
  • 1.00 - 4.00 Credits

    Independent Study in Computer Science and Information 1.000 TO 4.000 Credit hours 1.000 TO 4.000 Other hours Levels: Undergraduate Schedule Types: Independent Study Business Division Computer Science & Information Department
  • 1.00 - 4.00 Credits

    Independent Study in Computer Science and Information 1.000 TO 4.000 Credit hours 1.000 TO 4.000 Other hours Levels: Undergraduate Schedule Types: Internship Business Division Computer Science & Information Department
  • 4.00 Credits

    Completion of CSIS common core or BSNS common core requirements. Open only to seniors. Values/ethics course (V). (Same as PLAW 4100.) A study on the ethical aspects of using electronic devices in a democratic society, the contract, licensing, privacy and copyright laws in relation to the computer industry, and the ownership and protection of intellectual property. Faculty: A. LATOURETTE 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department Course Attributes: Values/Ethics-V
  • 4.00 Credits

    CSIS 2102. CSIS 3103 or CSIS 3222 recommended. Open only to juniors and seniors. An in-depth study of the design and implementation of dynamic database backed web applications. Involves Internet related software engineering principles, concurrency, distributed computing, security, and user interface design, with an emphasis on developing services that facilitate collaboration. Faculty: M. OLAN 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department
  • 4.00 Credits

    CSIS 2102 and CSIS 2210. The course objective is to help students develop depth of understanding of systems techniques acquired in previous course study. Application of skills to various industries are explored using the case study method. Project management including Cost/Benefit Analysis, project estimation, and PERT/CPM techniques is introduced. Application testing, conversion planning and disaster recovery are among the other topics discussed. A comprehensive system design proposal is prepared as well as presented orally. Faculty: J. GERHARDT 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Business Division Computer Science & Information Department Course Attributes: Q2-Quant Across the Curriculm
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