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The Information Literacy User’s Guide
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CC BY-NC-SA
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Short Description:
Return to milneopentextbooks.org to download PDF and other versions of this textNewParaThe Information Literacy User’s Guide introduces students to critical concepts of information literacy as defined for the information-infused and technology-rich environment in which they find themselves. This book helps students examine their roles as information creators and sharers and enables them to more effectively deploy related skills. This textbook includes relatable case studies and scenarios, many hands-on exercises, and interactive quizzes.

Long Description:
Good researchers have a host of tools at their disposal that make navigating today’s complex information ecosystem much more manageable. Gaining the knowledge, abilities, and self-reflection necessary to be a good researcher helps not only in academic settings, but is invaluable in any career, and throughout one’s life. The Information Literacy User’s Guide will start you on this route to success.

The Information Literacy User’s Guide is based on two current models in information literacy: The 2011 version of The Seven Pillars Model, developed by the Society of College, National and University Libraries in the United Kingdom1 and the conception of information literacy as a metaliteracy, a model developed by one of this book’s authors in conjunction with Thomas Mackey, Dean of the Center for Distance Learning at SUNY Empire State College.2 These core foundations ensure that the material will be relevant to today’s students.

The Information Literacy User’s Guide introduces students to critical concepts of information literacy as defined for the information-infused and technology-rich environment in which they find themselves. This book helps students examine their roles as information creators and sharers and enables them to more effectively deploy related skills. This textbook includes relatable case studies and scenarios, many hands-on exercises, and interactive quizzes.

Word Count: 41806

(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.)

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Milne Publishing
Author:
Allison Hosier
Daryl Bullis
Deborah Bernnard
Greg Bobish
Irina Holden
Jenna Hecker
Tor Loney
Trudi Jacobson
Date Added:
03/11/2015
Information Systems
Unrestricted Use
CC BY
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Students need to understand systems and the systems concept, and they need to understand the role of ICT in enabling systems. Students will learn the characteristics of good systems (e.g., intuitive, likable, error-resistant, fast, flexible, and the like). Knowing the characteristics of good systems will permit students to demand well designed systems and to suggest how existing systems should be changed. Students need to understand the affordances, directions, and limits of hardware, software, and networks in both personal and organizational dimensions. They also need to appreciate that, as technical capabilities change and new ones arise, more opportunities to apply ICT for efficiency, effectiveness, and innovation are afforded. They need to understand the process for developing and implementing new or improved systems and the activities of IS professionals in this process.

Subject:
Applied Science
Information Science
Material Type:
Textbook
Provider:
BCcampus
Provider Set:
BCcampus Open Textbooks
Author:
Richard T. Watson
Date Added:
10/28/2014
Introduction to Computer Science
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CC BY-SA
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Dear student! You are starting to learn about computation and its purpose. This course covers the same materials as an introductory class for undergraduate computer science majors. Its curriculum, which includes software, hardware and algorithms, resembles that of a one- or two-semester first-year college course or the high school Advanced Placement (AP) Computer Science. It does not require a formal computer science background.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
09/22/2017
Introduction to Library and Information Science
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CC BY-SA
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Library and Information Science (LIS) is the academic and professional study of how information and information carriers are produced, disseminated, discovered, evaluated, selected, acquired, used, organized, maintained, and managed. This book intends to introduce the reader to fundamental concerns and emerging conversations in the field of library and information science.

A secondary goal of this book is to introduce readers to prominent writers, articles, and books within the field of library science. The book originated as a collection of annotations of important LIS articles. Though these citations are being developed into a fuller text, we hope that this book remains firmly rooted in the literature of LIS and related fields, and helps direct readers toward important resources when a particular topic strikes their fancy.

Subject:
Applied Science
Information Science
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
05/13/2016
Introduction to the Modeling and Analysis of Complex Systems
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CC BY-NC-SA
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Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Textbook
Provider:
State University of New York
Provider Set:
Milne Open Textbooks
Author:
Hiroki Sayama, Binghamton University, State University of New York.
Date Added:
08/13/2015
JavaScript
Conditional Remix & Share Permitted
CC BY-SA
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This book is a guide to JavaScript, a scripting language widely used in web pages and web applications such as email applications. JavaScript is not to be confused with Java, which is quite a separate language for creating stand-alone applications.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
05/12/2016
Knowing Knoppix
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CC BY-SA
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Knoppix is an astoundingly clever product. It runs Linux completely from a CD or DVD. There is no need to install. It bypasses all the software already installed on your PC or laptop and automatically detects the hardware in your computer (subject to suitable hardware). When you've finished using Knoppix, simply restart. Your computer will return to your regular system, and it will behave as if nothing has happened. Knoppix is Free Software and open source under the terms of the GNU General Public Licence (GPL).

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Wikibooks
Date Added:
07/28/2016
Lecture 10: Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part Two)"
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CC BY-NC-SA
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Lecture #10 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Cloud Storage and Databases (Part Two)". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 10: Intro to Data Science - "Machine Learning, Part Two"
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CC BY-NC-SA
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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:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 10: Mobile Application and Product Development - "DOMAIN LAYER"
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CC BY-NC-SA
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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.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
John Jay College of Criminal Justice
Author:
Bhargava Chinthirla
Eric Spector
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 10: Probability and Statistics for Computer Science - "Relationships Between Variables"
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CC BY-NC-SA
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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:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 11: Cybersecurity - "Identity & Access Management"
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CC BY-NC-SA
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Lecture #11 for the course: CS 3550: Cybersecurity - "Identity & Access Management". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Baruch College
Author:
Michael Whiteman
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 11: Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics"
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CC BY-NC-SA
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Lecture #11 for the course: CSCI 49378: Intro to Distributed Systems and Cloud Computing - "Logging, Monitoring, and Advanced Topics". Delivered at Hunter College in Spring 2020 by Bonan Liu as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Hunter College
Author:
Bonan Liu
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 11: Intro to Data Science - "Machine Learning, Part Three"
Conditional Remix & Share Permitted
CC BY-NC-SA
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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:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 11: Mobile Application and Product Development - "INTEGRATION and TESTING"
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CC BY-NC-SA
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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.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
John Jay College of Criminal Justice
Author:
Bhargava Chinthirla
Eric Spector
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 11: Probability and Statistics for Computer Science - "Linear Regression"
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:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Evan Agovino
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 12: Cybersecurity - "Network & Endpoint Security"
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CC BY-NC-SA
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Lecture #12 for the course: CS 3550: Cybersecurity - "Network & Endpoint Security". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Baruch College
Author:
Michael Whiteman
NYC Tech-in-residence Corps
Date Added:
07/17/2020
Lecture 12: Intro to Data Science - "Machine Learning, Part Four"
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CC BY-NC-SA
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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:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
City College of New York
Author:
Grant Long
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 12: Mobile Application and Project Development - "SOFTWARE DEVELOPMENT LIFECYCLE"
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

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.

Subject:
Applied Science
Computer Science
Material Type:
Lecture
Lecture Notes
Lesson Plan
Provider:
CUNY Academic Works
Provider Set:
John Jay College of Criminal Justice
Author:
Bhargava Chinthirla
Eric Spector
Nyc Tech-in-residence Corps
Date Added:
05/06/2020
Lecture 13: Cybersecurity - "Patching & Vulnerability Management"
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CC BY-NC-SA
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Lecture #13 for the course: CS 3550: Cybersecurity - "Patching & Vulnerability Management". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Lecture
Provider:
CUNY Academic Works
Provider Set:
Baruch College
Author:
Michael Whiteman
NYC Tech-in-residence Corps
Date Added:
07/17/2020