Lecture #7-8 for the course: CS 3550: Cybersecurity - "Risk Management". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Lecture #7 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part One)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Lecture 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.

Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Lecture #8 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Systems and Infrastructures (Part Two)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Lecture 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.

Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

Lecture #9-10 for the course: CS 3550: Cybersecurity - "Data Protection & Cryptography". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Lecture #9 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part One)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Lecture for the course "CSC 59970 – Intro to Data Science" delivered at the City College of New York in Spring 2019 by Grant Long as part of the Tech-in-Residence Corps program.

Lecture 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.

Lecture for the course "CS 217 – Probability and Statistics for Computer Science" delivered at the City College of New York in Spring 2019 by Evan Agovino as part of the Tech-in-Residence Corps program.

This is a guide for faculty who are interested in converting their courses to OER. It briefly defines OER, and provides resources for finding OER materials.

This assignment was developed for students in NSF 100 Natural Sciences who attend a 1-hour library session. This session is aligned with the Inquiry and Problem Solving and Integrative core competencies in terms of exposing students to "Searching as Strategic Exploration."Strategy and exploration are the keys to effective research. Students often mistake academic research as similar to Googling. This session will stress the importance of mastering the research process in an academic context. It will encourage students to become familiar with the diverse tools and resources provided by the library. This session will give students a quick outline of the research process. It will stress the importance of identifying information needs, resources and strategies. It will also provide tips and tools for managing the search process and results effectively. LaGuardia's Core Competencies and Communication Abilities Main Course Learning Objectives: Students will be introduced to the concept of library academic resources Students will learn the strengths and weaknesses of different forms of information

Short Description:
An interactive workbook designed to prepare students to make the most of the library instruction workshop for English 110, an introductory course in college writing that culminates in a research paper. Created as part of an ongoing collaboration between the Queens College Library and the First Year Writing Program.

Word Count: 2883

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Short Description:
An interactive workbook designed to prepare students to make the most of the library instruction workshop for English 110, an introductory course in college writing that culminates in a research paper. Created as part of an ongoing collaboration between the Queens College Library and the First Year Writing Program.

Word Count: 1846

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Short Description:
An interactive workbook designed to prepare students to make the most of the library instruction workshop for English 110, an introductory course in college writing that culminates in a research paper. Created as part of an ongoing collaboration between the Queens College Library and the First Year Writing Program.

Word Count: 1963

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

List Comprehensions

This is a tutorial on list comprehensions in Python, suitable for use in an Intro or CS0 course. We also briefly mention set comprehensions and dictionary comprehensions.

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

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

These are materials that may be used in a CS0 course as a light introduction to machine learning.

The materials are mostly Jupyter notebooks which contain a combination of labwork and lecture notes. There are notebooks on Classification, An Introduction to Numpy, and An Introduction to Pandas.

There are also two assessments that could be assigned to students. One is an essay assignment in which students are asked to read and respond to an article on machine bias. The other is a lab-like exercise in which students use pandas and numpy to extract useful information about subway ridership in NYC. This assignment uses public data provided by NYC concerning entrances and exits at MTA stations.

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

A short activity in which students pair up, fill in blanks with nouns, numbers, etc., creating their own practice problems to calculate returns.