Courses

Examines relevant methods and materials for teaching students at the middle- and high-school levels. Includes methods of integrating State and National standards into the curriculum, specific to these age levels.

A course on the basics of qualitative research designs and methods that researchers use to study writing and literacy. Emphasis on developing a research question, conducting an empirical study on writing, and exploring issues involved in research on writing.

An introductory course for students in the Computational Linguistics (CL) sequence or those students who wish to learn about Python and its application to Natural Language Processing (NLP). The course will introduce the students to basic Linux commands and programming concepts in Python, focusing on techniques required to work with natural language data. The students will learn about standard corpora used in NLP and CL.

The second course in the sequence for Computational Linguistics (CL) students and Computer Science students who wish to take courses in Natural Language Processing (NLP) and Machine Learning. The course will include more advanced topics on data structures and algorithms that are used in NLP, basic algorithms for NLP tasks, including supervised machine learning for part-of-speech tagging, parsing, classification.

A project-based introduction to the basic skills required to characterize and quantitatively evaluate natural systems and communicate geoscience information effectively: field observation and description; map use and interpretation; data handling, statistical analysis, and graphical representation; scientific communication.

Designed to give students an understanding of the goals and objectives of elementary art, with hands-on experiences in various media, curriculum development, and assessment strategies.This course has an M&T Fee. For more info visit: http://qc.cuny.edu/?id=JU9F

Introduction to the range of methodological approaches used in urban-related research. These include macroscopic analysis, demography, survey research, historical research, institutional analysis, participant observation, community studies, policy analysis, and evaluation research.

A study of those methods of mathematical statistics that are most frequently used in the natural and social sciences, as well as actuarial science. Topics include estimation testing of statistical hypotheses, nonparametric tests, analysis of variance, correlation and regression analysis, and other methods of statistical analysis.

Course designed to provide experience in the analysis of basic and advanced swimming skills, techniques of teaching advanced life-saving, small-craft safety, and artificial resuscitation, as well as improvement in personal competence and leadership qualities in aquatics. Students may qualify for the American Red Cross Water Safety Instructor's Certificate.

This course is the first of a two-course series with SEYS 365 designed to introduce students to methods of teaching visual art. The course will give students an understanding of lesson planning, developing goals and objectives, as well as assessment strategies for all grade levels. 25 hours of fieldwork observations in a classroom setting required. This course has an M&T Fee.