DATA PROCESSING 490
490-211 Applied Data Mathematics 4 Cr. Logic, sets and Boolean expressions, interpolation, exact and approximate solutions to simultaneous linear systems. Statistical methods applications, numerical use of concepts of differential and integral calculus. Overview of management science techniques. Lecture 4 hours. Laboratory 0 hours. Prerequisite: 690-141 Elementary Probability and Statistics. (Formerly 211 Applied Data Mathematics. 3 Semester Cr. Lecture 3 hours. Laboratory 0 hours. Prerequisite: Mathematics 121.)
490-215 Numerical Methods and Computers 4 Cr. Introduces computer programming for mathematics, science and engineering. N limerical methods for solving problems arising in statistics, engineering, physics and chemistry are studied, and solutions are obtained via the digital computer. Major programming emphasis is with Fortran. Lecture 3 hours. Laboratory 2 hours. Prerequisite: 690-115 College Algebra. (New course.)
490-221 Programming Systems 4 Cr. Stresses familiarity with the differences among assembly systems, macrosystems, tabular language and compiler languages. Applications, advantages and disadvantages. Operating systems, total systems and integration of programming effort. Major programming emphasis is with Cobol. Lecture 3 hours. Laboratory 2 hours. Prerequisite: 490-203 Computer Programming. (Fo17nerly 221 Programming Systems. 3 Semester Cr. Lecture 2 hours. Laboratory 2 hours. Prerequisite: Data Processitlg 202')
490-231 Systems Analysis 4 Cr. Systems and procedures function. Includes analysis, design, control of management information and data systems. Economics of manual, electromechanical and electronic data processing. Advantages and disadvantages of computer, communication and information retrieval systems for information evaluation. Lecture 4 hours. Laboratory 0 hours. Prerequisite: 490-203 Computer Programming. (Formerly 231 Systems Analysis. 3 Semester Cr. Lecture 3 hours. Laboratory 0 hours. Pret'equisite: Data Processing 201.)
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