Introductory course to Advertising and Marketing.
This open resource includes a syllabus, class schedule, grading rubrics, and guidelines/examples for digital poetry annotation.
The course website can be found here: http://mes160.social.qwriting.qc.cuny.edu/
In this course, we will take a journey through history, literature, and ideas, traveling through Islamic civilization from 600-1250 CE. We will learn about and contemplate the major events and concerns of Islamic civilization, from the dawn of Islam through the expansions, transformations, and fragmentations of Islamic empires, up until the end of the 13th century. Works of Islamic literature from a variety of genres will fuel our journey. Along the way, we will learn how we might respond to questions such as: Why did poetry matter so much? What did poets write about? Was history considered to be different from literature? What kind of identities mattered to people living in the medieval Islamic world?
Syllabus for Writing about Music at Queens College
Digital photography I, II, and III course: To further develop Photography skills by shooting and editing using a DSLR or mirrorless digital camera at all levels. Additional learning goals will include experimenting with a range of digital techniques in Photoshop CC to create lens based photographic images. A final portfolio of 16 images will be created along with a written artist statement, and students will present to the class and engage in assignments given in the LMS online.
Syllabus for Intro to Scientific Computing at Queens College
Syllabus for Social Movements and Political Power at Queens College
Syllabus for Seminar in Law and Politics: Social Movements and the Courts at Queens College
Syllabus for secondary education teachers of literacy.
The major area of inquiry is the psychological, sociological, cognitive, and linguistic bases of literacy.
This is an online course intended to provide students with a comprehensive introduction to the foundations of sociological theory. Through history, and across different disciplines, scientists have attempted to formulate explanations (paradigms and theories) that allow them to make sense of the social world around them. Sociological theories, similar to the ones used in other scientific disciplines, aim to identify patterns, forces, and power relations in order to interpret the past and present as well as to predict the future. In fact, we constantly construct and use theories in our everyday lives—from trying to make sense of group-leadership patterns and consumer choices in cars, to understanding the rising global popularity of opiates among youth, gender differences in homeless populations, and racial disparities in educational outcomes in the United States.
This course is designed for any student interested in Spanish American literature. No previous knowledge of it is needed. However, a good command of written and oral Spanish are indispensable. We will examine several topics, periods and literary works from pre-hispanic manifestations to Latin American Modernism. We will watch a series of movies and documentaries related to specific topics and events
This course is designed for any student interested in Spanish American literature. No previous knowledge of it is needed. However, a good command of written and oral Spanish is indispensable. We will examine several literary periods, topics, artifacts and works from 20th and 21st centuries. We will watch a series of movies and documentaries related to specific topics and events.
This handout was developed for the WikiWomen's Edit-a-thon at Queens College held on March 29, 2017. Attendees created and edit articles about women, women of color, and particularly women in dance, literature, visual arts and music.
The event was co-sponsored by Wikimedia New York City, Queens College's Center for Teaching and Learning, Department of Drama, Theatre and Dance, Godwin-Ternback Museum, Queens College Music Library, Rosenthal Library, and Writing at Queens College.
This is a self-contained course in data science and machine learning using R. It covers philosophy of modeling with data, prediction via linear models, machine learning including support vector machines and random forests, probability estimation and asymmetric costs using logistic regression and probit regression, underfitting vs. overfitting, model validation, handling missingness and much more. There is formal instruction of data manipulation using dplyr and data.table, visualization using ggplot2 and statistical computing.