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English 2420 combines analysis of science fiction as literature with consideration of the questions science and technology raise about past, present, and future societies. In class discussions and essays, students will focus on the basic elements of literary analysis, the historical development of the science fiction genre, and the thematic concerns of each assigned text. Class discussions will address issues of form and will delve into the cultural contexts that have helped shaped some of the core tropes of the genre, such as artificial intelligence and human/machine interactions, the exploration of space and time, and the possibility of extraterrestrial life. Attention will also be paid to the ways in which authors have used utopian and dystopian societies of the future to comment upon humanity’s present relationship with science and technology. *Course Avatar Credit: Andrew Dutt (https://openlab.citytech.cuny.edu/members/cobaltdrew/) Andrew describes the image as follows: “The illustration featured above was done for a project where the theme was Robotics. It was done many years ago, and i guess that you could say I was influenced by The Matrix and Terminator in some of my robot designs. It shows a humanoid android cradling a human child in its arms, while an ominous sentinel-type machine looms behind with a menacing mechanical arm reaching for the baby. This dichotomy prompts the question: are the machines our friends or foe?”

English 2420 combines analysis of science fiction as literature with consideration of the questions science and technology raise about past, present, and future societies. In class discussions and essays, students will focus on the basic elements of literary analysis, the historical development of the science fiction genre, and the thematic concerns of each assigned text. Class discussions will address issues of form and will delve into the cultural contexts that have helped shaped some of the core tropes of the genre, such as artificial intelligence and human/machine interactions, the exploration of space and time, and the possibility of extraterrestrial life. Attention will also be paid to the ways in which authors have used utopian and dystopian societies of the future to comment upon humanity’s present relationship with science and technology. *Course Avatar Credit: Andrew Dutt (https://openlab.citytech.cuny.edu/members/cobaltdrew/) Andrew describes the image as follows: “The illustration featured above was done for a project where the theme was Robotics. It was done many years ago, and i guess that you could say I was influenced by The Matrix and Terminator in some of my robot designs. It shows a humanoid android cradling a human child in its arms, while an ominous sentinel-type machine looms behind with a menacing mechanical arm reaching for the baby. This dichotomy prompts the question: are the machines our friends or foe?”

Introduces building web pages dynamically, organizing projects into web applications, and deploying these applications using a web server. Hands-on laboratory exercises reinforce the material presented in the lectures and enable students to develop related programming skills.

Introduces building web pages dynamically, organizing projects into web applications, and deploying these applications using a web server. Hands-on laboratory exercises reinforce the material presented in the lectures and enable students to develop related programming skills.

This is a course in College Composition, in a Learning Community with ADGA.

This is a course in College Composition, in a Learning Community with ADGA.

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 3 projects, 1 individual and 2 in groups and choose one of the group projects to 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.

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 3 projects, 1 individual and 2 in groups and choose one of the group projects to 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.