Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Relational Databases and Microsoft Access
Ron McFadyen · University of Winnipeg
Có trong mục lục: 01: Relational Databases and MS Access · 1.01: Relational Databases · 08: Mapping an ERD to a Relational Database
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Data Structure and Algorithms
Harrison Njoroge · African Virtual University
Có trong mục lục: 03: Basic Data Structures and Abstract Data Types · 3.01: Activity 1 - Data Structures · 3.02: Activity 2 - Abstract Data Type
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Unfolding the Mystery of Life - Biology Lab Manual for Non-Science Majors
Ellen Genovesi, Laura Blinderman, & Patrick Natale · Mercer County Community College
Có trong mục lục: 3.04: Graphing Data · 9.03: Obtaining the Data- Do the Results from the Experiment Support Your Hypothesis
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Math 111: College Algebra
Highline College
Có trong mục lục: 1.07: Fitting Linear Models to Data · 1.7E: Fitting Linear Models to Data (Exercises)
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Chem 4B Lab: General Chemistry for Majors II
LibreTexts
Chemistry is an experimental science. Thus, it is important that students of chemistry do experiments in the laboratory to more fully understand that the theories they study in lecture and in their textbook are developed from critical evaluation of experimental data. The laboratory can also aid the student in the study of science by clearly illustrating the principles and concepts involved.
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The OER Starter Kit for Program Managers
Abbey K. Elder, Stefanie Buck, Jeff Gallant, Marco Seiferle-Valencia, and Apurva Ashok · rebus Foundation
Có trong mục lục: 07: Collecting and Reporting Data · 7.01: Data Collection and Strategies for OER Programs
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The Story of Earth - An Observational Guide
Daniel Hauptvogel and Virginia Sisson · University of Houston
Our goal in creating the material for this lab manual was to focus heavily on students making observations of geologic data, whether rocks, minerals, fossils, maps, graphs, and other things. We want students to look at things and wonder why, how, and when. The exercises and examples used in this book are scattered throughout the world. We wanted to make sure that one region of the world was not the sole focus of this work.
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Archaeology: It's More Than Digging In The Dirt
Crystal Scheib · HACC, Central Pennsylvania's Community College
This textbook will help you better understand archaeology and how it acquires knowledge about humans based solely on the material culture of the people being studied. You’ll learn how archaeologists do fieldwork and analyze human behaviors and patterns. Additionally, you’ll see how archaeologists use multiple types of data and evidence to draw conclusions about how humans have lived and adapted to the environment.
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GIS Commons: An Introductory Textbook on Geographic Information Systems
Michael Schmandt · Sacramento State University
Có trong mục lục: 1.06: Data Model · 02: Data Input · 2.02: Phase 1- GIS Database Design
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Data Structures
Wikipedia · LibreTexts
This book is about the creation and analysis of efficient data structures. To understand the material in this book you should be comfortable enough in a programming language to be capable of working with and writing your own variables, arithmetic expressions, if-else conditions, loops, subroutines (also known as functions), pointers (also known as references or object handles), structures (also known as records or classes), simple input and output, and simple recursion.
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Investigations in Weather and Climate
Neel Desai and Alicia Mullens · De Anza College
Có trong mục lục: 1.05: Vertical Atmosphere data charts
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Think Data Structures - Algorithms and Information Retrieval in Java
Allen B. Downey · Olin College
Có trong mục lục: 3.04: Linked Data Structures · 8.01: Data structure selection · 14.04: Redis data types
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Clinical Hematology Atlas: A Pictorial Guide for the Hematology Laboratory (Taylor and Doty)
Caroline Doty and Dawn Taylor · Oregon Institute of Technology
In Medical Laboratory Science (MLS) Hematology courses, students learn to evaluate normal and abnormal blood cell morphology through microscopic examination of blood smears. They learn to interpret results and correlate with other laboratory data to identify hematologic disorders. Note: this textbook is still evolving and should be considered a work in progress; new images will be added in the future.
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Molecular Genetics 4606
Helen Chamberlin · The Ohio State University
Có trong mục lục: 25.05: Inferring Recombination From Genetic Data
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Introduction to Bioinformatics
Rohan Mehta · Elmhurst University
An introduction to the principles behind and practice of bioinformatics: the science of interpreting and analyzing biological information. This course covers concepts behind genomic, transcriptomic, and proteomics analysis, as well as data processing and visualization. This course also provides an introduction to the R programming language and the unix shell as well as a variety of commonly-used bioinformatics software packages.
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Library Research Skills for First Year Seminar Students
Kara Blizzard · University of Alberta
This series of modules introduces students to library services and introductory research skills, including finding specific books and articles, choosing a research topic, searching for information using library databases, and citing information sources.
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Computer Science from the Bottom Up
Ian Wienand · Red Hat
Computer science is often taught from the "top down"; applications, high level programming, software design and development theory, possibly data structures. Students will probably be exposed to binary, hopefully binary logic, possibly even some low level concepts such as registers, opcodes and the like at a superficial level. This book aims to move in completely the opposite direction, working from operating systems fundamentals through to how those applications are complied and executed.
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Oceans of Data
Tasha Gownaris · Gettysburg College
Có trong mục lục: 01: Our Oceans and Oceanographic Data · 1.04: How are data about the ocean collected · 1.05: How are oceanographic data displayed
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College Success
University of Minnesota Libraries Publishing · 2015
Our primary goal in writing College Success is to help you succeed in college. According to Department of Education data, 30 percent of college freshmen leave school in their first year and as many as 50 percent never graduate. College Success is designed to help change that. College Success has a student-friendly format arranged to help you develop the essential skills and provide the information you need to succeed in college. This is not a textbook full of theory and extensive detail that merely discusses student success; rather, this is a how-to manual for succeeding in college. The book provides realistic, practical guidance ranging from study skills to personal health, from test taking to managing time and money. Furthermore, College Success is accessible—information is presented concisely and as simply as possible. College Success has the following features to help you achieve your goals: Each chapter asks you to evaluate yourself because success starts with recognizing your strengths and weaknesses, your hopes and desires, and your own personal, individual realities. You'll develop your own goals based on these self-assessments, determining what success in college really means for you as an individual. Throughout the book, you will find numerous interactive activities created to help you improve your skills. To assist you with this, the material is presented in easily digestible “chunks” of information so you can begin applying it immediately in your own life—and get the most out of your college education.
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The DEI Metadata Handbook: A Guide to Diverse, Equitable, and Inclusive Description
H. E. Wintermute; Heather Campbell; Christopher Dieckman · Iowa State University Digital Press · 2024
Written primarily for professionals in library and information science but with applicability to archives and other information management industries, this handbook provides an overview of metadata work that focuses on diversity, equity, and inclusion (DEI). DEI metadata work has several goals: enhancing diverse representation in descriptive metadata; improving discovery of diverse resources; and mitigating negative effects of inaccurate, outdated, or offensive terminology. Readers will gain a broad awareness of DEI-related issues in metadata creation and management; learn techniques for retroactively reviewing and updating existing metadata to address these issues; and develop strategies to create metadata that better meets DEI needs.