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Bulletin - John Jay College Of Criminal Justice - CUNY

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Courses <strong>Of</strong>fered<br />

MAT 278 Software Applications for <strong>Of</strong>fice<br />

Management<br />

3 hours, 3 credits<br />

This course will provide advanced experience in word processing,<br />

database analysis and spreadsheet analysis. Emphasis is given as to how<br />

to enhance the applicability of the above by using advanced features such<br />

as spreadsheet macros, database languages and word processing macros.<br />

Another feature of the course is to show how the tools above may be used<br />

together to enhance the productivity of the modern office.<br />

Prerequisites: ENG 101 and 6 credits of mathematics<br />

MAT 279 Data Communications and the Internet<br />

3 hours, 3 credits<br />

An exploration of the use of personal computers, servers and<br />

appliances in communication networks such as the Internet.<br />

Communication protocols are introduced and the security of<br />

computer networks is discussed. Methods for transmitting files and<br />

information and search methods using e-mail, FTP, Telnet and Webbased<br />

data systems are examined. The legal and ethical aspects of<br />

this field also are discussed.<br />

Prerequisites: ENG 101, and MAT 105 or the equivalent<br />

MAT 301 Probability and Mathematical Statistics I<br />

3 hours, 3 credits<br />

Emphasis on the probability theory necessary for the study of<br />

statistical inference. Topics include studies of discrete, continuous<br />

and multivariate distributions. Applications to problems involving<br />

normal, binomial, Poisson and other distributions. Introduction to<br />

theory and methods of testing hypotheses and of estimation.<br />

Prerequisites: ENG 102 or ENG 201, and MAT 241<br />

MAT 302 Probability and Mathematical Statistics II<br />

3 hours, 3 credits<br />

Theory and methods of testing statistical hypotheses including<br />

Neyman-Pearson theorem, likelihood ratio tests, power function<br />

study, etc. Point and interval estimation of statistical parameters<br />

including study of unbiased, consistent, efficient and sufficient<br />

estimators. Results applied to problems from different fields<br />

involving binomial, Poisson, normal and related distributions.<br />

Prerequisites: ENG 102 or ENG 201, and MAT 301<br />

MAT 310 Linear Algebra<br />

3 hours, 3 credits<br />

Calculations with matrices, vector spaces, bases and dimensions, rank<br />

of a matrix, systems of linear equations, determinants, characteristic<br />

equations, eigenvalues and eigenvectors, and minimal polynomials.<br />

Prerequisites: ENG 102 or ENG 201, and MAT 241-242 or the<br />

equivalent<br />

MAT 323-324 Operations Research Models I and II<br />

Each course: 3 hours, 3 credits<br />

The construction of mathematical models for real-life situations with<br />

the application of operations research theory to obtain practical<br />

solutions. Problems are chosen from varied fields of endeavor with<br />

particular emphasis upon public sector-related topics, e.g., traffic<br />

flow, court procedures, network analysis and simulation techniques.<br />

Prerequisites: For MAT 323: ENG 102 or ENG 201, and MAT 241.<br />

MAT 323 is required for MAT 324.<br />

MAT 371 Numerical Analysis<br />

3 hours, 3 credits<br />

Introduction to various numerical approximation techniques and the<br />

concept of error. Schemes are developed for finding the approximate<br />

solutions of algebraic and transcendental equations. Numerical<br />

differentiation and integration, finite differences, interpolation and<br />

120

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