Joe-Sway’s Profile

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Joe-Sway
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Joe-Sway
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My Courses

LIB2205ARCH2205 Learning Places

LIB2205ARCH2205 Learning Places

This special topics course offers an interdisciplinary approach to investigating our built environment using a case study focused on a specific place each semester. This course combines physical examination with information research and data collection using methodologies developed in multiple disciplines. Students from a variety of departments engage in on-site exploration and in-depth research of a location in New York City.

ENG 092W

ENG 092W

This writing course is designed to strengthen the student’s skills as a writer by dissecting writings and readings, analyzing and composing essays, including outline, revision and proofreading. We will address all the skills required to successfully complete the CATW writing assessment examination, as well as expose students to the fundamental principles of expository writing such as development and organization, grammar and mechanics, vocabulary and precision of language that emphasize essay unity and clarity. Approximately 5-9 compositions are required, including practice CATW essay questions. Students will demonstrate the ability to present informed perspectives, articulate and support complex ideas, investigate and critique arguments and sustain focused and coherent discussions.

MAT1372 Statistics with Probability

MAT1372 Statistics with Probability

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 MS Excel.

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My Clubs

BioMedical Informatics Student Club

BioMedical Informatics Student Club

The Biomedical Informatics (BIB) Student club exists to advocate, provide support and services to fellow Biomedical Informatics undergraduate students here at New York City College of Technology. We aim to assist students in gaining opportunities and discovering information that is relevant and beneficial towards the degree requirement of the program. Through the expansion of knowledge, workshops, field trips and invited speakers, we hope to give students the option to network and attain skills required for classes including the internship. This is a student-run club which is advised by faculty members, Professor Eugenia Giannopoulou and Professor Mai Zahran.

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