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Programming Fundamentals - A Modular Structured Approach using C++
Unrestricted Use
CC BY
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Programming Fundamentals - A Modular Structured Approach using C++ is written by Kenneth Leroy Busbee, a faculty member at Houston Community College in Houston, Texas. The materials used in this textbook/collection were developed by the author and others as independent modules for publication within the Connexions environment. Programming fundamentals are often divided into three college courses: Modular/Structured, Object Oriented and Data Structures. This textbook/collection covers the first of those three courses.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Provider:
Rice University
Provider Set:
OpenStax CNX
Author:
Kenneth Leroy Busbee
Date Added:
01/10/2013
Project: Mobile Application & Product Development
Conditional Remix & Share Permitted
CC BY-NC-SA
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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.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Provider:
CUNY Academic Works
Provider Set:
John Jay College of Criminal Justice
Author:
Bhargava Chinthirla
Eric Spector
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Python Jubilee Project
Conditional Remix & Share Permitted
CC BY-NC-SA
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The Python Jubilee Project adapted various available OER into a single resource for an introductory course in programming in Python. Dr. Showalter arranged the materials into weekly course modules that can be accessed and completed by enrolled students.

Subject:
Computer Science
Material Type:
Full Course
Author:
Daniel Showalter
Date Added:
02/05/2020
Syllabus:  Special Topics in Advanced Web Development
Conditional Remix & Share Permitted
CC BY-NC-SA
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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.

Subject:
Applied Science
Computer Science
Material Type:
Syllabus
Provider:
CUNY Academic Works
Provider Set:
College of Staten Island
Author:
NYC Tech-in-residence Corps
Shane Afsar
Date Added:
06/28/2023
Think Raku: How to Think Like a Computer Scientist - 2nd edition
Conditional Remix & Share Permitted
CC BY-NC-SA
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Think Raku is an introduction to computer science and programming intended for people with little or no experience.

This aim of this book is not primarily to teach Raku, but instead to teach the art of programming, using the Raku language. After having completed this book, you should hopefully be able to write programs to solve relatively difficult problems in Raku, but my main aim is to teach computer science, software programming, and problem solving rather than solely to teach the Raku language itself.

Think Raku is a free book available under a Creative Commons license. Readers are free to copy and distribute the text; they are also free to modify it, which allows them to adapt the book to different needs, and to help develop new material.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Green Tea Press
Author:
Allen B. Downey
Laurent Rosenfeld
Date Added:
09/08/2021
Using Big Data to Identify and Understand Educational Inequality in America
Conditional Remix & Share Permitted
CC BY-NC-SA
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This lesson is connected to but can be used independently of "Using Big Data to Identify and Understand Educational Inequality in America (1)"

Students will develop CS skills and behaviors including but not limited to: learning what an API is, learning how to access and utilize data on an API, and developing their R coding skills and knowledge. Students will also learn basic, but important, sociological principles such as how poverty is related to educational opportunities in America (and how this relationship varies between and among states). Although prior knowledge of CS and sociology is helpful, neither is necessary for student (or instructor) success on this project. Three instructional hours.

Subject:
Applied Science
Computer Science
Social Science
Sociology
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Joseph Cleary
Date Added:
06/28/2023
Using Big Data to Identify and Understand Educational Inequality in America
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This is the first of two lessons/labs for teaching and learning of computer science and sociology. Either and be used on their own or they can be used in sequence, in which case this should be used first.

Students will develop CS skills and behaviors including but not limited to: learning what an API is, learning how to access and utilize data on an API, and developing their R coding skills and knowledge. Students will also learn basic, but important, sociological principles such as how poverty is related to educational opportunities in America. Although prior knowledge of CS and sociology is helpful, neither is necessary for student (or instructor) success on this two-week project. Three instructional hours per week (total of six hours over two weeks).

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Lecture Notes
Provider:
CUNY Academic Works
Provider Set:
Lehman College
Author:
Elin Waring
Joseph Cleary
Date Added:
06/28/2023