Updating search results...

Search Resources

294 Results

View
Selected filters:
  • Computer Science
GASP Beginners Python Course — GASP Lessons 1 documentation
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

The GASP Python Course is a beginners Python course using a simplified beginners graphics API (GASP) to make learning to program engaging for high school or community college students.

Subject:
Applied Science
Computer Science
Material Type:
Full Course
Author:
Gareth McCaughan
Jeffrey Elkner
Date Added:
12/07/2022
GORGON TESSELLATION ------->  BRENIKOU TESSELLATIONs
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

LINEAR TRANSFORMATIONs ON THE PLAIN .
INTRODUCTION TO ISOHEDRALS , BASIC BLOCKS TO SYMMETRIC TILING.
TESSELLATIONs (PERIODIC & APERIODIC)
.
BRENIKOU , MACEDONIA EAST , HELLAS (GREECE).ARTIST (PAINTER & SCULPTOR) : EFSTRATOPOULOS NIKOLAOS ( efstrato71@gmail.com )MUSIC : Εύελδωρ - Λυρογηθής (ANCIEN...

Subject:
Applied Science
Architecture and Design
Arts and Humanities
Computer Science
Geometry
Graphic Arts
Mathematics
Material Type:
Assessment
Homework/Assignment
Lecture Notes
Author:
GEORGAKAS NIKOLAOS (BRENIKOU)
Date Added:
10/26/2021
Game Design and Development 2021
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

a textbook created by students based on research in variety of areas related to game design and development.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
eCampusOntario
Author:
Abdinasir Ahmed Hassen
Aleksander Smyczynski
Anna Zurawska
Aoibhe Conway
Bernard Mac Donagh
Conor Burke
Darragh Cole
Eamon Slevin
Edward Vrancianu
Enoh Brownson
Flosie Sazon
Francis Omede
John Garry
Joseph Dolan
Julia Lo Iacono
Justin Flood
Justin Urbonas
Kain Bradley
Karolina Kowalczyk
Killian Delaney
Lusine Ustyan
Megan Kelly
Nadine Dam
Nathan Speight
Roman Komar
Ron Mencias
Rosie Murray
Sam Chapple
Sam O'Sullivan
Shaun Ferns
Tochi Ugochukwu
Vince Palban
Wiktoria Roglaksa
Date Added:
05/17/2021
Global Inequality Lab 1
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

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).

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
Janet Michello
Date Added:
05/31/2019
Global Inequality Lab 2
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

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.

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
Janet Michello
Michello Janet
Waring Elin
Date Added:
05/31/2019
Guide to Object-oriented Programming With Java
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This guide presents Object-Oriented Programming (OOP) concepts using the Java programming language to a 400-level audience, using the Eclipse IDE as their code development environment. Knowledge of OOP and C++ are pre-requisites for this material.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Milne Publishing
Author:
Jim Gerland
Date Added:
08/21/2024
Handbook of Software Engineering Methods 2nd ed.
Conditional Remix & Share Permitted
CC BY-NC
Rating
0.0 stars

Software engineering is the art and science of using different methods to efficiently create extensible, sustainable programs that solve problems people care about.

I won’t tell you how to be a software engineer; You’ll learn that over time by doing it. Instead, this book is about software engineering methods: Ways people achieve specific objectives in software engineering—that can save your project. My hope is that, after reading this book (or parts of it), you’ll feel better equipped for software engineering.

Subject:
Applied Science
Computer Science
Engineering
Material Type:
Textbook
Provider:
OpenOregon
Author:
Lara Letaw
Date Added:
06/28/2023
Haskell
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

In this book we aim to introduce you both to the Haskell language, from the very basics to advanced features, and to computer programming in general. We urge seasoned programmers to be especially patient with this process. In all likelihood, the languages you are most familiar with differ greatly from Haskell, and habits from those languages might make it more difficult to understand how things work − they are simple, but different. Face learning to see the world through the warped mindset of a functional programmer as an adventure in a brave new world, which will bring you understanding valuable far beyond the boundaries of any language.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
06/15/2019
High Performance Computing
Unrestricted Use
CC BY
Rating
0.0 stars

The purpose of this book is to teach new programmers and scientists about the basics of High Performance Computing. Too many parallel and high performance computing books focus on the architecture, theory and computer science surrounding HPC. This book speaks to the practicing chemistry student, physicist, or biologist who need to write and run their programs as part of their research.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax CNX
Author:
Charles Severance
Kevin Dowd
Date Added:
12/05/2019
Homework: Intro to Data Science - Week #11
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Intro to Data Science - Week #3
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Intro to Data Science - Week #4
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Intro to Data Science - Week #5
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Intro to Data Science - Week #9
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Probability and Statistics for Computer Science - Week #10
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Homework 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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Probability and Statistics for Computer Science - Week #11
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Homework 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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Probability and Statistics for Computer Science - Week #2
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Homework 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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
06/28/2023
Homework: Probability and Statistics for Computer Science - Week #5
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Homework/Assignment
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
06/28/2023