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Course Criteria
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1.00 Credits
University Seminar is a two-semester, General Education course sequence designed to provide students with the essentials for a smooth transition to college life and academic success. Academic skills will be developed. These skills include critical reading, thinking, listening, writing, speaking, and using the library, the internet, and word processing. Values clarification, coping with peer pressures, and the impact of a healthy lifestyle will be addressed. Opportunities will be provided for self-evaluation and growth in basic learning strategies as well as personal and career goals. Knowing the history of the University, feeling connected to the institution, and sharing a common educational experience with other freshmen are important goals of this course.Credit, one hour.
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0.00 - 4.00 Credits
The study of computer science includes the study of how information is organized in a computer, how it can be manipulated, and how it can be utilized. The efficiency of programming and data processing is directly linked to the structure of the data being processed and algorithms used. The course presents fundamental computing algorithms and their associated data structures and abstraction. The course combines the concepts of information organization, information manipulation, and algorithms.
Prerequisite:
CSCI 121
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0.00 - 3.00 Credits
The study of computer science includes the study of how information is organized in a computer, how it can be manipulated, and how it can be utilized. The efficiency of programming and data processing is directly linked to the structure of the data being processed and algorithms used. The course presents fundamental computing algorithms and their associated data structures and abstraction. The course combines the concepts of information organization, information manipulation, and algorithms.
Prerequisite:
CSCI 210
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3.00 Credits
The course introduces important concepts and principles in programming and trains students to design applications that implement solutions to problems arising in science and engineering. The course introduces students to fundamental software development using a programming language, such as C or C++.
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3.00 Credits
Main topic of this course includes: data representation of characters, integers and real numbers in computer system, logic gates, sequential circuits, instruction set architecture, machine and assembly language, hardware organization, addressing techniques, cache memory, input/output, alternative and emerging computer architectures. Other related concepts will also be discussed: error detection and correction, network, and operating system.
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3.00 Credits
This course provides fundamental concepts for theoretical basis and applications of computer science. Topics include set theory, functions, relations, counting, probability, graphs and trees, analysis of algorithm efficiency, regular expressions and finite-state automata.
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1.00 Credits
The main topic of this course include: software development models, scheduling and project management tools, high level design and engineering tradeoffs, rapid prototyping, cost benefit analysis, development of models and algorithms, pitching and presenting your project, testing and validation. Other related concepts will also be discussed: middle-ware, service-oriented architectures, open source, and distributed development tools.
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3.00 Credits
Logical and physical organizations of large sets of related data in files for performance. Topics include secondary storage and system software, managing files of records, indexing and multi-level indexing using binary tree structures, B-trees and their derivatives, hashing and extendible hashing, and sorting.Prerequisites: CSCI 263.Credit, three hours.
Prerequisite:
(CSCI 211 AND CSCI 230)
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3.00 Credits
This course covers conceptual, logical and physical concepts of computer networks. Topics include application, transport, network and data link layers and basics of multimedia and security.
Prerequisite:
CSCI 261
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3.00 Credits
This course is a practical, hands-on preparation for future database designers and developers. Topics include conceptual, logical and physical organizations of large sets of related data, database descriptions, data models, data definition and manipulation languages, query languages, relational algebra, and database application-oriented projects.
Prerequisite:
(CSCI 121 OR CSCI 225)
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