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A continuation of MAT 1475. Topics include Taylor polynomials, Mean Value Theorem, Taylor and Maclaurin series, tests of convergence, techniques of integration, improper integrals, areas, volumes and arc length. Prerequisite: MAT 1475

A continuation of MAT 1475. Topics include Taylor polynomials, Mean Value Theorem, Taylor and Maclaurin series, tests of convergence, techniques of integration, improper integrals, areas, volumes and arc length. Prerequisite: MAT 1475

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. Taken together, the courses (ENG1101 and ENG1121) in the First-Year Writing Program at the New York City College of Technology seek to develop student competencies in five general categories: rhetorical knowledge; writing and reading processes; critical thinking, reading, writing, and research; composing in manual and digital environments; and knowledge of academic conventions. Individual faculty incorporate these competencies into their courses in different ways, but all faculty are able to demonstrate how their courses attend to these matters. 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. Taken together, the courses (ENG1101 and ENG1121) in the First-Year Writing Program at the New York City College of Technology seek to develop student competencies in five general categories: rhetorical knowledge; writing and reading processes; critical thinking, reading, writing, and research; composing in manual and digital environments; and knowledge of academic conventions. Individual faculty incorporate these competencies into their courses in different ways, but all faculty are able to demonstrate how their courses attend to these matters. 4 hours, 3 credits

An introductory course in statistics and probability. Topics covered include descriptive statistics, sample spaces and probabilities, discrete probability distributions (Binomial, Hypergeometric), expectation and variance, continuous probability distributions (Normal, Student, Chi-Square), confidence intervals, hypothesis testing, and correlation and linear regression. Spreadsheets are used throughout the semester.

An introductory course in statistics and probability. Topics covered include descriptive statistics, sample spaces and probabilities, discrete probability distributions (Binomial, Hypergeometric), expectation and variance, continuous probability distributions (Normal, Student, Chi-Square), confidence intervals, hypothesis testing, and correlation and linear regression. Spreadsheets are used throughout the semester.