Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Scientific Computing
Jeffrey R. Chasnov · Hong Kong University of Science and Technology
Có trong mục lục: II: Dynamical Systems and Chaos · 12: Concepts and Tools
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Linear Regression Using R - An Introduction to Data Modeling
David Lilja · University of Minnesota
Có trong mục lục: 02: Understand Your Data · 2.02: Sanity Checking and Data Cleaning · 5.01: Data Splitting for Training and Testing
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Scientific Computing
Peter Staab · Fitchburg State University
Có trong mục lục: 01: Introduction to Scientific Computing · 1.01: Examples of Scientific Computing · 1.02: Modeling
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Introduction to the Modeling and Analysis of Complex Systems
Hiroki Sayama · Binghamton University, State University of New York
Có trong mục lục: 01: Introduction to Modeling and Analysis · 02: Fundamentals of Modeling · 2.01: Models in Science and Engineering
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Physical Modeling in MATLAB
Allen B. Downey · Olin College
Có trong mục lục: 01: Modeling and Simulation · 1.01: Modeling · 2.07: Assignment and Equality
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Numerical Methods in Scientific Computing
Jos van Kan; Guus Segal; Fred Vermolen · TU Delft Open · 2023
This is a book about numerically solving partial differential equations occurring in technical and physical contexts and the authors have set themselves a more ambitious target than to just talk about the numerics. Their aim is to show the place of numerical solutions in the general modeling process and this must inevitably lead to considerations about modeling itself. Partial differential equations usually are a consequence of applying first principles to a technical or physical problem at hand. That means, that most of the time the physics also have to be taken into account especially for validation of the numerical solution obtained. This book aims especially at engineers and scientists who have ’real world’ problems. It will concern itself less with pesky mathematical detail. For the interested reader though, we have included sections on mathematical theory to provide the necessary mathematical background. Since this treatment had to be on the superficial side we have provided further reference to the literature where necessary.
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Notes on Diffy Qs: Differential Equations for Engineers
Jirí Lebl · Jirí Lebl · 2014
A one semester first course on differential equations, aimed at engineering students. Prerequisite for the course is the basic calculus sequence. This free online book (e-book in webspeak) should be usable as a stand-alone textbook or as a companion to a course using another book such as Edwards and Penney, Differential Equations and Boundary Value Problems: Computing and Modeling or Boyce and DiPrima, Elementary Differential Equations and Boundary Value Problems (section correspondence to these two is given). I developed and used these notes to teach Math 286/285 at the University of Illinois at Urbana-Champaign Sample Dirichlet problem solution (one is a 4-day-a-week, the other a 3-day-a-week semester-long course). I have also taught Math 20D at University of California, San Diego with these notes (a 3-day-a-week quarter-long course). There is enough material to run a 2-quarter course, and even perhaps a two semester course depending on lecturer speed.
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Introduction to Data Analytics
Felix Amoruwa · De Anza College
Có trong mục lục: 1.6.03: Hands-On Lab Exercise · 02: Data Types Data Sources and Data Quality · 2.04: Metadata Data Governance and Data Stewardship
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Calculus I Notes
Kevin Palencia · Northern Illinois University
Có trong mục lục: 01: Limits and Continuity · 2.09: Derivatives of Exponential and Logarithmic Functions · 3.04: Maxima and Minima
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Economics of Agriculture (AGBUS 40)
Ivan Huerta · Coalinga College
Có trong mục lục: 02: Market Demand and Supply in Agriculutural Context · 2.01: Demand States · 2.02: The Demand Schedule
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Matlab and Octave Programming for STEM Applications (Smith)
Cary Smith · Oxnard College
Có trong mục lục: 01: Modeling Simulation and MATLABs Interpreter · 1.01: Obtaining MATLAB and Octave · 1.02: Modeling
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Computational Cognitive Neuroscience
O'Reilly, Munakata, Hazy & Frank · University of Colorado Boulder & Brown University
Có trong mục lục: 2.03: Dynamics of Integration- Excitation vs. Inhibition and Leak · 2.04: Computing Activation Output · 3.03: Categorization and Distributed Representations
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Mathematics for the Liberal Arts
Lumen Learning
Có trong mục lục: 6.02: Perimeter and Area · 6.08: Topology Tiling and Non-Euclidean Geometry · 8.01: F1.01 Beginning and Example 3
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Quantway College with Corequisite
Carnegie Math Pathways · WestEd
Có trong mục lục: 1.04: Computing and Interpreting Percentages · 2.05: Modeling a New Type of Growth · 3.01: Interpreting Charts and Graphs
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Introduction to Social Network Methods
Robert Hanneman & Mark Riddle · University of California, Riverside
Có trong mục lục: 1.05: A note on Statistics and Social Network Data · 3.02: Graphs and Sociograms · 4.06: A few hints on data handling with NetDraw
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Active Calculus
Matthew Boelkins, David Austin & Steven Schlicker · Grand Valley State University
Có trong mục lục: 01: Understanding the Derivative · 1.05: Interpretating Estimating and Using the Derivative · 1.07: Limits Continuity and Differentiability
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Engineering Modeling and Analysis with Python
Carl Greco · Arkansas Tech University
Có trong mục lục: 01: Introduction to Engineering Modeling and Analysis with Python · 02: Variables Expressions and Statements · 2.01: Values and Types
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Physical Modeling in MATLAB
Allen B. Downey · Olin College
Có trong mục lục: 01: Modeling and Simulation · 1.01: Modeling · 2.07: Assignment and Equality
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Computational Biology - Genomes, Networks, and Evolution
Manolis Kellis et al. · Massachusetts Institute of Technology
Có trong mục lục: 1.01: Introduction and Goals · 1.05: Introduction to algorithms and probabilistic inference · 02: Sequence Alignment and Dynamic Programming
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Foundations of Information Systems
OpenStax · OpenStax
Có trong mục lục: 1.02: Frameworks of Knowledge and Industry Standards · 1.03: Connections between Information Systems and Information Technology · 1.08: Check Your Understanding Questions