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Course Criteria
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3.00 Credits
Credits: 3 Cross-Listed with IT 308 Teaches structured programming and design using high-level language. Focuses on program design, coding, debugging, and documentation. Prerequisites Computer programming course in high school or college. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with IT 314 Studies logical and physical characteristics of data and their organization in computer processing. Emphasizes data as resource in computer applications; examines database management system (DBMS) software and its design, implementation, and use. Prerequisites Computer programming course in high school or college. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Introduces computing system hardware components, architecture, organization, and operating system software concepts. Provides basic experience in assembly language programming for modern microprocessors, and examines techniques for system evaluation and selection. Prerequisites INFS 310 or CS 112. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Studies structure and application of high-level languages by stressing design and implementation of data types, data structures, and algorithms. Includes computing lab. Credit does not count toward requirements for major in computer science. Prerequisites INFS 310 or CS 112. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Studies programming environments, including software tools and control of software development for large information systems engineering projects. Prerequisites INFS 310 or CS 211. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with IT 414 Explores advanced concepts of database modeling using enterprise-level database management system. Topics include object-oriented database processing, data integrity, transactions, locks, concurrency control, backup, recovery, optimization, data mining, Internet databases, server programming, and security. Prerequisites IT 314 or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with IT 462 Studies security policies, models, and mechanisms for secrecy, integrity, availability and usage controls. Topics include models and mechanisms for mandatory, discretionary and role-based access controls; authentication technologies; control and prevention of viruses and other rogue programs; common system vulnerabilities and countermeasures; privacy and security policies and risk analysis; intellectual property protection; and legal and social issues. Prerequisites IT 212 or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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1.00 - 3.00 Credits
Credits: 1-3 Directed self-study of special topics of current interest in INFS. Prerequisites 60 credits; must be arranged with instructor and approved by department chair before registering. Notes May be repeated for maximum 6 credits if topics substantially different. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Topics of special interest to undergraduates. Prerequisites 60 credits, and permission of instructor. Notes May be repeated for maximum 6 credits if topics are substantially different. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Study of discrete and logical structures for information systems analysis and design including basic set theory and proof techniques, propositional and predicate logic, trees and graphs, finite state machines, formal languages and their relation to automata, computability and computational complexity, formal semantics-operational, axiomatic and denotational approaches. Prerequisites 6 credits of undergraduate mathematics. Notes Credit cannot be applied to a graduate degree in the Volgenau School or the BS degree in computer science. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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