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CIS 265: Data Structures and Algorithms
4.00 Credits
Cleveland State University
Prerequisites: CIS 260, MTH 148 or MTH 181. Programming and problem-solving skills are further developed by using language features to implement various data structures such as stacks, queues, linked lists, trees, and graphs. Topics include advanced problem solving and programming techniques, sorting, searching, and hashing algorithms. Complexity of algorithms is introduced.
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CIS 306: Computers and Society
3.00 Credits
Cleveland State University
Prerequisite: CIS 265 or IST 203. History of computing and technology, the computer and the individual, privacy issues, legal issues, computer crime, computer security, future of computing.
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CIS 334: Computer Organization
2.00 Credits
Cleveland State University
Prerequisite: CIS 265. Foundations of PC architecture and assembly language. Topics include machine language, hardware fundamentals, memory organization, data representation, addressing modes, and introduction to assemblers. This course contains the first half of the material from CIS 335. May not be used to satisfy BSCIS major-field requirements.
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CIS 335: Language Processors
4.00 Credits
Cleveland State University
Prerequisite: CIS 265. Foundation of PC architecture and assembly language. Topics include machine language, hardware fundamentals, registers, numbering systems, data definition, and addressing modes. Fundamentals of systems programming including the implementation and use of assemblers, macro processors, linkers, loaders, and compilers. Examples of language processors are studied on various computers.
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CIS 340: C/C++ for Systems Programming
2.00 Credits
Cleveland State University
Prerequisite: CIS 265. This course covers the basics of the C/C++ languages and selected standard library functions. Teaches students with a Java background to write C/C++ programs using standard library functions, primarily for use in later system-oriented courses.
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CIS 345: Operating System Principles
4.00 Credits
Cleveland State University
Prerequisite: CIS 340.This course discusses the relationship between computer architecture and the operating system including interrupts, I/O handling, and memory management. Study of operating system functions, specifically, the management of computer resources such as processor scheduling; memory; I/O device scheduling; and file system structure, protection, and network connections.
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CIS 368: Object Oriented Design and Programming
4.00 Credits
Cleveland State University
Prerequisite: CIS 265. Course provides in-depth coverage of both design and implementation of O-O programs. Students will gain understanding of the tenets of the O-O paradigm; they will design and create advanced O-O programs using a current object-oriented programming language. They will become familiar with pre-defined classes available for the language, and learn how to use them in their own software. Unified Modeling Language (UML) will be introduced as a graphical mechanism for system design. Students also will become familiar with design patterns.
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CIS 408: Internet Programming
4.00 Credits
Cleveland State University
Prerequisite: CIS 430. This course introduces website design and web-based applications using several tools and techniques. The course tarts with client-side programming. The second half of the course is dedicated server-side development. Topics covered include HTML, DHTML, Cascading Style Sheets, DOM, ASP.NET, Java Script, database connectivity, web parts and web services.
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CIS 424: Comparative Programming Languages
4.00 Credits
Cleveland State University
Prerequisite: CIS 265. A short history of programming languages and styles precedes the study of a comparison of modern programming languages currently in use. The major programming paradigms are surveyed, including procedural, functional, object-oriented, graphical-user-based, and logic programming.
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CIS 430: Data Base Concepts
4.00 Credits
Cleveland State University
Prerequisite: CIS 265. The course introduces concepts of database management systems and database models. . Students are exposed to a detailed study of relational query languages including relational algebra, Structured Query Language (SQL), and Query-by-Example (QBE); coverage of system-wide data abstraction using ER modeling. Normalization theory and its benefits are introduced. . Stduents are expected to complete lab projects using a commercial DBMS and its supporting programming environment.
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