This is a syllabus for a first-semester introductory biology class, including reading links for current news articles related to the course topics as well as an OpenStax textbook.

This course is an introduction to the moral challenges that arise in the design and execution of biomedical research and the development of medical interventions. A historical review segues into detailed examination of key ethical concepts and principles, as well as topics of particular concern. At the culmination of the semester, students apply their knowledge of research ethics to an ethical analysis of their MTM BioDesign projects.

By the end of this course, students will have: Engaged in analytic reading, writing and critical thinking about novels written by black women Participated in and created a learning community via asynchronous and synchronous online discussions Learned the ways that culture, history and environment shape literature and interpretation Utilized learned tools of analysis through practice

This course will explore three modules of learning.
Anatomy and Psycho-Physical Centering, will explore two foundations: (1) the start of our research and practical application of the human anatomy in regards to how our body moves; and (2) your ability to tune into movement centers within the body by utilizing Chakra as a guiding study. Please note: Anatomy will be a continuous study throughout the entire semester.
THE SECOND MODULE, Partnered Connection, will focus on partnering with lifts, counter-balances, falls, and rolls that will build to a partnering sequence of the tools presented.
THE LAST MODULE, Global Archetypes, will explore archetypal dynamics in movement and how that connects to others, physical impulses, and given circumstances. This coursework aims to refine and expand proficiency in physical skills and the ability to embody and perform in an authentic, expressive, and unedited manner.
● Application of the learned movement techniques will be assessed in various homework exercises, daily ensemble participation, quizzes, and three in-class performances.

Syllabus for a course in data analytics for business economics, focusing on use of source data sets to answer the "why?" questions hidden in aggregate averages used in theory and "headline" news releases. Zero cost course using data available widely on the web. Optional texts are trade books available widely in libraries or used copies at low cost.

This is the website for the OER Workshop given at CCNY. The workshop is asynchronous, and includes 9 modules for learning about OER.

This course introduces the fundamental concepts and computational techniques of data science to all students, including those majoring in the Arts, Humanities, and Social Sciences. Students engage with data arising from real-world phenomena—including literary corpora, spatial datasets, and social networks data—to learn analytical skills such as inferential thinking and computational thinking. The competencies learned in this course will provide students with skills that will be of use in their professional careers, as well as tools to better understand, quantitatively and qualitatively, the social world around them. Finally, by teaching critical concepts and skills in computer programming and statistical inference, the class prepares students for further coursework in technology-dependent subjects, such as Digital Humanities. The course is designed for students who are new to statistics and programming. Students will make use of the Python programming language, but no computer science pre-requisites are required.

Instructor Description: This course is designed to introduce humanities students to the basics of data science using Python programming. The course will focus on the critical feminist approach to studying data, which emphasizes the importance of understanding and addressing the ways in which power and privilege in social systems shape the collection, analysis, and interpretation of data. The critical feminist approach centers marginalized identities and experiences and the intersectionality of gender, sexuality, race, and class as factors that shape data creation, our methods for analyzing data, and the conclusions we can draw from it. Students will explore the ways in which a feminist approach to data science can be used to reinforce or challenge existing power structures and promote social justice.

Syllabus for the course "CSC 59940 - Front-End Web Application Development" delivered at the City College of New York in Spring 2018 by Michelle Shu and David Moon as part of the Tech-in-Residence Corps program.

Summer HS students were engaged in hands-on experimental research in engineering laboratories in mentorship with CCNY Engineering Undergraduate Researchers. This course was part of the Summer STEM Institute directed by Dr. Joe Barba and Mr. Otto Marte.