User-friendly Geographic Information Systems (GIS) is the common thread of this collection of presentations, and activities with full lesson plans. The first section of the site contains an overview of cartography, the art of creating maps, and then looks at historical mapping platforms like Hypercities and Donald Rumsey Historical Mapping Project. In the next section Google Earth Desktop Pro is introduced, with lessons and activities on the basics of GE such as pins, paths, and kml files, as well as a more complex activity on "georeferencing" an historic map over Google Earth imagery. The final section deals with ARCGIS Online and StoryMaps with tutorials, basic exercises on pins, paths, and CSV import, and a lesson plan for creating a research project presentation on an historic building in StoryMaps. In addition to an xml file that has been uploaded here to Academic Works, the module is also a live website at https://libguides.brooklyn.cuny.edu/cs-x. The site was created with Libguides software, and is a Community Libguide that can be reused and imported into other LibGuides sites. The website also contains links to two live StoryMaps, one on an Introduction to ARCGIS StoryMaps (https://arcg.is/1SX1zH), and the second, a model assignment on the history of the Fairway building in Red Hook, Brooklyn (https://arcg.is/1nbHP).

The Mathematics of Nutrition Science is a workbook designed to integrate and contextualize developmental mathematics into an introductory college level Nutrition class. Definitions and skills from Community College Level Elementary Algebra and Quantitative Literacy courses are explained through examples analyzing the nutritional content of different foods. The book contains exercises for students to practice these skills, and also to reflect on the concepts through short writing assignments aligned with developmental English. These materials could be used by Nutrition course instructor in many different ways, and are designed to be self-contained and require minimal mathematical instruction.

Welcome to Music 1300, Music: Its Language History, and Culture. The course has a number of interrelated objectives:
1. To introduce you to works representative of a variety of music traditions.These include the repertoires of Western Europe from the Middle Agesthrough the present; of the United States, including art music, jazz, folk, rock, musical theater; and from at least two non-Western world areas (Africa, Asia, Latin America, the Caribbean, the Middle East, Indian subcontinent).
2. To enable you to speak and write about the features of the music you study,employing vocabulary and concepts of melody, rhythm, harmony, texture, timbre,and form used by musicians.
3. To explore with you the historic, social, and cultural contexts and the role of class, ethnicity, and gender in the creation and performance of music,including practices of improvisation and the implications of oral andnotated transmission.
4. To acquaint you with the sources of musical sounds—instruments and voices fromdifferent cultures, found sounds, electronically generated sounds; basic principlesthat determine pitch and timbre.
5. To examine the influence of technology, mass media, globalization, and transnationalcurrents on the music of today.
The chapters in this reader contain definitions and explanations of musical terms and concepts,short essays on subjects related to music as a creative performing art, biographical sketchesof major figures in music, and historical and cultural background information on music fromdifferent periods and places.

My Math GPS: Elementary Algebra Guided Problem Solving is a textbook that aligns to the CUNY Elementary Algebra Learning Objectives that are tested on the CUNY Elementary Algebra Final Exam (CEAFE). This book contextualizes arithmetic skills into Elementary Algebra content using a problem-solving pedagogy. Classroom assessments and online homework are available from the authors.

In this archive there are two activities/assignments suitable for use in a CS0 or Intro course which uses Python.

In the first activity, students are asked to "fill in the code" in a series of short programs that compute a similarity metric (cosine similarity) for text documents. This involves string tokenization, and frequency counting using Python string methods and datatypes.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Proj1?viewer=share/

In the second activity (taken directly from Think Python 2e) students use a pronunciation dictionary to solve a riddle involving homophones.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Dicts2?viewer=share/

This OER material was produced as a result of the CS04ALL CUNY OER project

This is a guide for students to use as they provide feedback to their peers on a piece of writing. The activity was done in groups of 3.

From the preface, "These are notes for a course in precalculus, as it is taught at New York City College of Technology - CUNY (where it is offered under the course number MAT 1375). Our approach is calculator based. For this, we will use the currently standard TI-84 calculator, and in particular, many of the examples will be explained and solved with it. However, we want to point out that there are also many other calculators that are suitable for the purpose of this course and many of these alternatives have similar functionalities as the calculator that we have chosen to use. An introduction to the TI-84 calculator together with the most common applications needed for this course is provided in appendix A. In the future we may expand on this by providing introductions to other calculators or computer algebra systems."

Use this lesson to help students distinguish between primary and secondary sources and use them in them in the appropriate context.

This is an introduction Python dictionary, using Python 3.

Prior knowledge of input/output in Python, and Python list is recommended.

For CS0 students. Part of the CUNY CS04All project.

An introduction to functions in Python.

Prior knowledge of variables, assignments, expressions, input-output, lists, conditionals, and loops is recommended.

For CS0 students. Part of the CUNY CS04All project.

Comments
Lecture slides come in three formats and separate files, as well as three programs-examples.

All the images used in the slides are CC0 licence, packed in the imgs.rar archive together with the information about them

In-class work, HW assignment, assessment questions together with all the programs are in the Activities_and_Assignments.rar archive.

Python If-else branches, equality and relational operators, and some additional topics: Boolean operators and expressions, membership and identity operators.

Prior knowledge of variables, assignments, and expressions is recommended.

For CS0 students. Part of the CUNY CS04All project.

Comments
Lecture slides come in three formats and separate files.

In-class work, HW assignment, assessment questions together with all the programs are in the Activities_and_Assignments.rar archive.

The following topics are discussed:

Development Environment
Basic input and output
Variables and assignments
Python expressions
Division and modulo
Math module
For CS0 students. Part of the CUNY CS04All project.

Comments
Lecture slides come in three formats, examples of programs are included in Instructor Materials.rar.

In-class work and assessment questions together with all the programs are in the Activities_and_Assignments.rar archive.

A brief introduction to Python list.

No loops, no decision structures.

For CS0 students. Part of the CUNY CS04All project.

The following topics are covered:

While Loops
For Loops
Nested loops
Break and continue
Loops else
enumerate()
Applications: Turtle library with loops and decision procedures.

Prior knowledge of variables, assignments, expressions, input-output, lists, and conditionals is recommended.

For CS0 students. Part of the CUNY CS04All project.

Comments
Lecture slides come in three formats, are are packed into Instructor_Materials.rar along with programs accompanying the lecture slides.

In-class work, HW assignment, assessment questions together with all the programs are in the ActivitiesAndAssignments.rar archive.

An introduction to Python strings and string formatting.

Proposed lecture slides are supplied with in-class activity, homework assignment, and assessment.

No loops, no decision structures.

For CS0 students.

Part of the CUNY CS04All project.

Related lesson plans are also available for download and adaptation in the Guttman Community College OER collection in the CUNY Academic Works institutional repository.

Students will be able to:

Describe the basics of Robots.

Describe basic hardware and software of the LEGO Robot.

Write sequential code for LEGO Robot to move.

A Python Functions activity - "Scrabble game" - for CS0 students. Part of the CUNY CS04All project.

Associated lessons plans are also available for download and adaptation in the Guttman Community College OER collection in CUNY Academic Works.

In order to promote students’ conceptual understanding and learning experience in introductory statistics, a technology task, which focuses on the probability distribution in which means are defined, was created using TinkerPlots, an exploratory data analysis and modeling software. The targeted audiences range from senior high school grade levels to college freshmen who are starting their introductory course in statistics. Students will be guided to explore and discover the movement behaviors of means of a set of numbers randomly generated from a fixed range of values characterized by a predetermined probability distribution. The cognitive, mathematical, technological and pedagogical natures of the task, as well as its association with the statistics education framework based on the Guidelines for Assessment and Instruction in Statistics Education (GAISE) by the American Statistical Association, will be elaborated. A brief discussion on what cognitive design principles this task satisfies will also be provided at the end.