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Library & Information Science

OER (Open Educational Resources)

OER (Open Educational Resources)

Building Legal Literacies for Text Data Mining
This book explores the legal literacies covered during the virtual Building Legal Literacies for Text Data Mining Institute, including copyright (both U.S. and international law), technological protection measures, privacy, and ethical considerations. It describes in detail how we developed and delivered the 4-day institute, and also provides ideas for hosting shorter literacy teaching sessions. Finally, we offer reflections and take-aways on the Institute.
Introduction to Library and Information Science
This book is primarily intended to support introductory courses in graduate-level LIS programs, but it can also be used in Library Technician programs.
Open Source Research Methods for the Social Sciences
This course was developed by Ben Rottman at the University of Pittsburgh for teaching research methods within the Psychology major.
OpenIntro Statistics
A complete foundation for Statistics, also serving as a foundation for Data Science.
R for Data Science
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.
Statistical Inference via Data Science a ModernDive into R and the Tidyverse
This book assumes no prerequisites: no algebra, no calculus, and no prior programming/coding experience. This is intended to be a gentle introduction to the practice of analyzing data and answering questions using data the way data scientists, statisticians, data journalists, and other researchers would.
Think Python
An introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.
Wikipedia & Academic Libraries: A Global Project
Contains 19 chapters by 52 authors from Brazil, Canada, Hong Kong, Ireland, Kyrgyzstan, Mexico, Netherlands, Nigeria, Scotland, Spain, and the United States. The chapters in this book are authored by both new and longtime members of the Wikimedia community, representing a range of experiences.

Informatics OER

Data Science

The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science

Database Management

Design & Accessibility

Information Design & Organization

Information Systems

Health Informatics

Programming

General

Python

C / C++

Java

Other

Surveillance & Cryptography

Last Updated: Feb 9, 2024 8:05 AM
URL: https://guides.lib.utexas.edu/LIS
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