Project Assignment for the course "CSCI 380 - Mobile Application and Product Development" delivered at John Jay College in Spring 2019 by Bhargava Chinthirla and Eric Spector as part of the Tech-in-Residence Corps program.

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.

6. Brave New World - Resilience

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, city governments worldwide are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

1. Brave New World - The Rise of Cities

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, city governments worldwide are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

11. Emerging Technologies: An Introduction to Cryptocurrency

The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, city governments worldwide are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and more accessible with technology and more connected.

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.

Syllabus for the course: CIS 356 - Fundamentals of Cybersecurity and Intelligence Gathering. Delivered at Lehman College in Spring 2020 by Fahad Chowdhury as part of the Tech-in-Residence Corps program.

Syllabus for the course: CSC 511 - Special Topics in Advanced Web Development. Delivered at the College of Staten Island in Fall 2019 by Shane Afsar as part of the Tech-in-Residence Corps program.

This is a syllabus for a course in Issues in Law Enforcement, a criminal justice course. The curriculum is a public interest technology course in cybersecurity. Principally, the federal government handles cybersecurity investigations along with some state governments and the FBI acts as the center for all cybersecurity complaints.

The course expands beyond law enforcement and provides a comprehensive background to the field through the following presentations: a history of cybersecurity; an explanation of the Internet; an introduction to cybercrime and cybersecurity techniques; the legal environment, which includes a survey of law enforcement and prosecution departments and agencies, and federal and NY state criminal, civil and privacy laws; a case (Silk Road Market) about a darknet market which demonstrates federal law enforcement in action; and the concept that cybersecurity is an enormous challenge to law enforcement.

The course provides two types of student activities:

(i) Service learning project in which students present about how to prevent yourself from being hacked; and

(ii) Group assignments in which students choose and analyze four types of current cybersecurity cases as a team by answering questions posed by the professor which is presented to the class as a whole.

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.