Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Principles of Data Science
OpenStax · LibreTexts
Có trong mục lục: 01: What Are Data and Data Science · 1.01: What Is Data Science · 1.02: Data Science in Practice
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The Crystal Ball - Instruction Manual I: Introduction to Data Science
Stephen Davies · University of Mary Washington
Có trong mục lục: 1.01: Defining Data Science · 03: Three Kinds of Atomic Data · 3.01: Atomic Data
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CIS211: Support for Foundations of Data Science for All
Clare Nguyen · De Anza College
This course is a review of core prerequisite skills, competencies, and concepts needed whenstudying data science, intended for students who are concurrently enrolled in Data Science for All.
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DSCI 500B Essential Probability Theory for Data Science (Kuter)
Kristin Kuter · Saint Mary's College
LibreTexts
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Computer Networks - A Systems Approach
Peterson and Davie · LibreTexts
Có trong mục lục: 07: End-to-End Data · 7.02: Multimedia Data
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Library 1600: Introduction to College-Level Research
Library Instruction Services · Iowa State University
Có trong mục lục: 2.08: Articles and Databases
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Polynomial Interpolations on Time Scales
Svetlin G. Georgiev · Sorbonne University
Polynomial interpolation is a very useful tool employed in many areas of science in which a given set of data needs to be represented by a function, in particular, by a polynomial taking the given values at the points of the given data set.
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Open Data Structures - An Introduction
Pat Morin · Carleton University
Có trong mục lục: 1.07: List of Data Structures · 13: Data Structures for Integers
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UCD GEL 56 Introduction to Geophysics
Magali Billen · University of California, Davis
Introduction to Geophysics provides a solid foundation in fundamental concepts from physics (diffusion, gravity, wave propagation), material science (rheology), scientific computing (basic programming, data analysis) and geophysics (plate tectonics, gravity, seismology, earthquakes) that are essential to multiple sub-topics in Earth and Planetary Sciences.
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The Stories Behind Social Statistics: Data Analysis, Interpretation, and Communication
Ezra Temko · Southern Illinois University Edwardsville
Có trong mục lục: 01: Data Datasets SPSS and Frequency Distribution Tables
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Database Design 2e
Adrienne Watt · British Columbia Institute of Technology
Có trong mục lục: 1.01: Before the Advent of Database Systems · 1.03: Characteristics and Benefits of a Database · 1.04: Types of Data Models
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A CURE for everyone: A guide to implementing Course-based Undergraduate Research Experiences
Jonathan J.-M. Calède · The Ohio State University
In this book, I undertake a review of the literature on Course-based Undergraduate Research Experiences (CUREs) and present original data from a survey of instructors at the Ohio State University. The main goal of this publication is to be a practical guide for teachers wishing to develop and implements this type of High-Impact Practice in their course.
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Corpus Linguistics: A Guide to the Methodology
Anatol Stefanowitsch · Freie Universität Berlin
Có trong mục lục: 01: The need for corpus data · 1.01: Arguments against corpus data · 1.03: Intuition data vs. corpus data
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Investigations in Climate Change
Neel Desai and Alicia Mullens · De Anza College
Có trong mục lục: 3.01: Climate Data · 3.02: Local Climate Data
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Applied Event-Related Potential Data Analysis
Steven J Luck · University of California, Davis
Có trong mục lục: 1.02: Installing the Software and Downloading the Data · 02: Processing the Data from One Participant in the ERP CORE N400 Experiment · 2.01: Data For This Chapter
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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.