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This course explores research and documentation for all media formats including text, images, sound, and multimedia. Students will explore information issues, especially in terms of their relevance today: how information is produced and organized in both traditional and emerging media, how information access is affected by political, economic and cultural factors, and the ethics of information use. Students will also acquire the practical skills of locating information sources in a variety of media and formats, critical evaluation of sources, and documentation and citation of traditional and emerging media and technologies. Students will apply what they learn to create and present research and documentation projects.

This course explores research and documentation for all media formats including text, images, sound, and multimedia. Students will explore information issues, especially in terms of their relevance today: how information is produced and organized in both traditional and emerging media, how information access is affected by political, economic and cultural factors, and the ethics of information use. Students will also acquire the practical skills of locating information sources in a variety of media and formats, critical evaluation of sources, and documentation and citation of traditional and emerging media and technologies. Students will apply what they learn to create and present research and documentation projects.

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of R supplemented by some use of MS Excel.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of R supplemented by some use of MS Excel.

ENG 1101 – English Composition I – 4 hours, 3 credits This is a course in effective essay writing and basic research techniques, including use of the library. Demanding readings are assigned for classroom discussion and as a basis for essay writing. Prerequisites: CUNY certification in reading and writing.

ENG 1101 – English Composition I – 4 hours, 3 credits This is a course in effective essay writing and basic research techniques, including use of the library. Demanding readings are assigned for classroom discussion and as a basis for essay writing. Prerequisites: CUNY certification in reading and writing.