Healthcare Informatics

Jul
18

CS 313 – Systems Design & Development

Prerequisites/Corequisites: Take CS-226; Minimum grade C. (Required, Previous). | Take CS-227. (Required, Previous or concurrent). Credit Hours: Min: 3; Max: Description: Development of computerized systems focusing on structured systems analysis and its application to information system software development. Emphasis will be on problem analysis, correctness, reliability, and maintainability.

By Breanna Lisenby |
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Jul
18

CS 150 – Microcomputers & Software Appl I

Prerequisites/Corequisites: Take 1 group (Take MATH-105; Minimum grade C /Take MATH-110 MATH-110L; Minimum grade C). (Required, Previous). Credit Hours: Min: 3; Max: Description: Introduction to microcomputer hardware and software. Topics include computer fundamentals, word processing, electronic spreadsheets, databases, and other microcomputer application areas. Solutions for several problems using microcomputers and commercial software will be required.

By Breanna Lisenby |
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Jul
18

CS 190 – Programming Fundamentals

Prerequisites/Corequisites: Take MATH-111 or MATH-121. (Required, Previous). Credit Hours: Min: 3; Max: Description: Introduction to problem-solving and algorithm development techniques based on the program development process. Study of basic computer concepts and computer systems; elementary data types and data structures; input and output processing; control structures; modular program design; elementary file processing; algorithm design and […]

By Breanna Lisenby |
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Jul
18

CS 190L – Programming Fundamentals Lab

Prerequisites/Corequisites: Take MATH-111 or MATH-121. (Required, Previous). | Take CS-190. (Required, Concurrent). Credit Hours: Min: 1; Max: Description: Laboratory demonstrates the topics and principles presented in the lecture.

By Breanna Lisenby |
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Jul
18

BUSI 305 – Applied Stat for Econ & Business

Prerequisites/Corequisites: Take MATH-134. (Required, Previous). Credit Hours: Min: 3; Max: Description: Covers basic probability distributions including binomial, normal, uniform and exponential confidence intervals, tests of hypothesis, chi-square and simple linear regression.

By Breanna Lisenby |
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