Midterm Exam and Answer Key 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.

Midterm Exam Review 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.

Practice Final Exam 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.

Final Project Assignment for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing. Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Case Study Assignment 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.

Lecture #1 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.

Lecture #4 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.

Lecture #3 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.

Lecture #2 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.

A Python Lists activity - "Gift Exchange" - for CS0 students. Part of the CUNY CS04All project.

These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students obtain data on the US and two other countries (one more developed and one less developed).

These materials include background for the instructor and a lab that engages student in an analysis of global inequality while learning and using the R language (a programming language for statistics). Students ultimately write a function to access country level data from the CIA World Factbook.

This module is associated with HMGT 4702: Hospitality Services Marketing & Management, Course Outline

Development of awareness and understanding of the aging process. Health and health-related needs of the aging. Preventive, restorative, and rehabilitative services for the aged.

An introduction to concepts of program planning for health education in the community. Program development, implementation, and evaluation of currently functioning community health education programs.

Examination of experimental design as applied to nutrition research, including intervention, observational, survey, and animal models. Development of research topics; methods of data collection; interpretation and presentation of results; ethical considerations; application of principles for development of research proposals and evaluation of the nutrition literature. (Prerequisites: advanced coursework in Nutrition and a course in Biostatistics)

A Python Lists activity - "Hangman game" - for CS0 students. Part of the CUNY CS04All projec

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.

Homework 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.