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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

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.

This is an advanced course in communication skills, including the expository essay and the research essay. This course further develops students’ reading and writing skills through literary and expository readings. In this class students will write analytical essays in a variety of rhetorical modes to cultivate interpretive skills. Using close reading, discussion, and various writing techniques, you will consider language, details and style to develop your analytical and academic writing skills. This is a communications intensive course; you will be expected to participate actively in class discussions and presentations, write informal and formal essays, and respond to your classmates’ writing.

This is an advanced course in communication skills, including the expository essay and the research essay. This course further develops students’ reading and writing skills through literary and expository readings. In this class students will write analytical essays in a variety of rhetorical modes to cultivate interpretive skills. Using close reading, discussion, and various writing techniques, you will consider language, details and style to develop your analytical and academic writing skills. This is a communications intensive course; you will be expected to participate actively in class discussions and presentations, write informal and formal essays, and respond to your classmates’ writing.

Topics include Taylor polynomials, Mean Value Theorem, Taylor and Maclaurin series, tests of convergence, techniques of integration, improper integrals, areas, volumes and arc lengths.

Topics include Taylor polynomials, Mean Value Theorem, Taylor and Maclaurin series, tests of convergence, techniques of integration, improper integrals, areas, volumes and arc lengths.

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.