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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)- Campus Bookshelves
- Arkansas Tech University
- Discrete-Time Signal Processing
- Front Matter
- 1: Introduction to Digital Signal Processing
- 2: The Sampling Theorem
- 3: Amplitude Quantization
- 4: Discrete -Time Signals and Systems
- 5: Z-Transform and Discrete Time System Design
- 6: Discrete Time Fourier Series (DTFS)
- 7: Discrete -Time Fourier Transform (DTFT)
- 8: Discrete Fourier Transforms (DFT)
- 9: DFT - Computational Complexity
- 10: Fast Fourier Transform (FFT)
- 11: Spectrograms
- 12: Discrete-Time Systems
- 13: Discrete-Time Systems in the Time-Domain
- 14: Discrete -Time Systems in the Frequency Domain
- 15: Filtering in the Frequency Domain
- 16: Efficiency of Frequency - Domain Filtering
- 17: Discrete -Time Filtering of Analog Signals
- 18: Digital Signal Processing Problems
- Back Matter
- Discrete-Time Signal Processing
- Bucknell University
- CEEG 445: Environmental Engineering Chemistry (Fall 2021)
- Butler County Community College
- Using NIST for Security and Risk Assessment
- Front Matter
- 1: Introduction
- 2: Security Assessment Using SP.800-171r2 and SP.800-172
- 3: Security Assessment using SP.800-213 and SP.800-213A
- 3.1: Introduction
- 3.2: Governance and Oversight
- 3.3: Challenges to Assessing IoT-MIoT
- 3.4: Using NIST SP.800-213A Capabilities for MIoT Security Assessment
- 3.5: Evaluation Process
- 3.6: Methodology - Design and Variables
- 3.7: Using the Assessment Workbook
- 3.8: Advantages and Benefits of Using NIST SP.800-213 and SP.800-213A for MIoT Assessment
- 4: VI. Assessment Workbook Downloads
- Back Matter
- Using NIST for Security and Risk Assessment
- Butte College
- Intro to Programming with Programming Fundamentals and Python for Everyone
- Front Matter
- 1: Welcome to Programming
- 2: Commands
- 3: Principles of Structured Programming
- 4: Functions and Events
- 5: Algorithms and Design
- 6: Math and Variables
- 6.1: Arithmetic Operators
- 6.2: Order of Operations
- 6.3: Constants and Variables
- 6.4: Identifier Names
- 6.5: Variable names and Keywords
- 6.6: Choosing Mnemonic Variable Names
- 6.7: Statements
- 6.8: Assignment
- 6.9: Variables
- 6.10: Updating Variables
- 6.11: Python Examples
- 6.12: Arrays and Lists
- 6.13: Index Notation
- 6.14: A list is a sequence
- 6.15: Lists are mutable
- 6.16: Debugging
- 7: Problem Solving and Design
- 8: Decisions
- 9: Helper Functions
- 10: Nested Decision
- 11: Software Development Life Cycle
- 12: Variable Scope
- 13: For Loops
- 14: More Math and Random Numbers
- 15: Nested For Loops
- 16: Data Types and User Input
- 17: Strings
- 17.1: Strings
- 17.2: A string is a sequence
- 17.3: String Functions
- 17.4: String Operations
- 17.5: Getting the length of a string using len
- 17.6: Traversal through a string with a loop
- 17.7: String Slices
- 17.8: Strings are immutable
- 17.9: Looping and Counting
- 17.10: The in operator
- 17.11: String Comparison
- 17.12: String Methods
- 17.13: Parsing strings
- 17.14: String Formatting
- 17.15: Format operator
- 18: While Loops
- 19: Lists
- 19.1: Arrays and Lists
- 19.2: Index Notation
- 19.3: Displaying Array Members
- 19.4: Traversing a List
- 19.5: List operations
- 19.6: List Slices
- 19.7: List Methods
- 19.8: Deleting Elements
- 19.9: Math Statistics with Arrays
- 19.10: Searching Arrays
- 19.11: Sorting Arrays
- 19.12: Parallel Arrays
- 19.13: Multidimensional Arrays
- 20: Function Return
- 21: File Input/Output
- 22: Searching and Sorting Algorithms
- 23: Object Oriented Programming
- 24: Networked Programs
- 24.1: HyperText Transfer Protocol - HTTP
- 24.2: The World's Simplest Web Browser
- 24.3: Retrieving an image over HTTP
- 24.4: Retrieving web pages with urllib
- 24.5: Parsing HTML and scraping the web
- 24.6: Parsing HTML using regular expressions
- 24.7: Parsing HTML using BeautifulSoup
- 24.8: Reading binary files using urllib
- 24.E: Networked Programs (Exercises)
- 24.G: Networked Programs (Glossary)
- 25: Python and Web Services
- 25.1: eXtensible Markup Language - XML
- 25.2: Looping through Nodes
- 25.3: JavaScript Object Notation - JSON
- 25.4: Parsing JSON
- 25.5: Application Programming Interfaces
- 25.6: Google geocoding web service
- 25.7: Security and API usage
- 25.E: Python and Web Services (Exercises)
- 25.G: Python and Web Services (Glossary)
- 26: Algorithms
- 27: Additional Fundamentals of Programming
- 28: Additional Python 4 Everyone
- Back Matter
- Intro to Programming with Programming Fundamentals and Python for Everyone
- California State Polytechnic University, Humboldt
- Engineering Success: A Seminar for First-Year Students
- Front Matter
- Topic 01. Time Management, Study Strategies, and Metacognition
- Topic 02. Professional Email Communication for Engineers
- Topic 03. Strategic Goal Setting for Success in Engineering
- Topic 04. Engineering Curriculum Pathways and Elective Opportunities
- Topic 05. Preparing a Professional Curriculum Vitae (CV)
- Topic 06. Engineering Homework- Purpose, Process, and Practice
- Topic 07. Preparing Professional Engineering Slides
- Back Matter
- Introduction to Mechanical Engineering
- Mechanical Engineering Capstone
- Mechanical Engineering Vibrations
- Front Matter
- Topic 01. Introduction to Vibrations
- Topic 02. Free Vibration of Single DOF: an Undamped Translational System
- Topic 03. Free Vibration of Single DOF: an Undamped Torsional System
- Topic 04. Free Vibration: Stiffness
- Topic 05. Free Vibration of Single DOF: Viscous Damping
- Topic 06. Free Vibration of Single DOF: Damping Estimation from Underdamped Response
- Topic 07. Forced Vibration of Single DOF: Undamped System Under Harmonic Excitation
- Topic 08. Forced Vibration of Single DOF: Damped System Under Harmonic Excitation
- Topic 09. Forced Vibration – Base Excitation
- Topic 12. Multiple-Degree-of-Freedom System
- Topic 13. Modal Analysis of Multi-DOF System: Orthonormality of Modal Vectors
- Topic 14. Modal Analysis of Multi-DOF System: Response via Modal Superposition
- Back Matter
- Mechanics and Science of Materials
- Front Matter
- Chapter 1: Introduction to Materials, X-Ray Diffraction, and Inter and Intramolecular Bonding
- Chapter 2: Structure: Crystalline, Amorphous, Non-Crystalline, and Liquid Crystal Materials
- Chapter 3: Defects in Crystalline Materials
- Chapter 4: Phase Diagrams
- Chapter 5: Mechanical Behavior of Materials Part I
- Chapter 6: Mechanical Behavior of Materials Part II
- Chapter 7: Electrochemistry and Corrosion
- Chapter 8: Polymers and Soft Matter
- Chapter 9: Electrical Optical and Magnetic Properties
- Machine Design
- Back Matter
- Statics
- Front Matter
- Topic 01. Introduction to Statics
- Topic 02. Forces in 2D
- Topic 03. Forces in 3D using Coordinate Direction Angles and Projected Angles
- Topic 04. Forces in 3D using Position Vectors
- Topic 05. Moment
- Topic 06. Couple Moment
- Topic 07. Equilibrium in 2D
- Topic 08. Equilibrium in 3D using Scalar Analysis
- Topic 09. Equilibrium in 3D using Vector and Scalar Analysis
- Topic 10. Moment about a Point in 3D
- Topic 12. Equivalent System: Distributed Loads
- Topic 13. Internal Forces: Shear and Moment Diagram
- Topic 14. Truss: Method of Joints
- Topic 15. Truss: Method of Sections
- Topic 16. Frames and Machines
- Topic 18. Centroids
- Topic 19. (Area) Moment of Inertia
- Back Matter
- Statistical Analysis of Data for Engineers
- Front Matter
- Chapter 1: Importance of Statistics and Experimental Measurements
- Chapter 2: Histograms, Statistical Measures, and Probability
- Chapter 3: Probability Distributions and the Gaussian
- Chapter 4: Central Limit Theorem and Confidence Intervals for Large and Small Sample Sizes
- Chapter 5: Hypothesis Testing and P-Values
- Chapter 6: Goodness of Fit Hypothesis Testing
- Chapter 7: Total Uncertainty, Bias Error, and Propagation of Error
- Chapter 8: F-Tests and Variable Independence
- Chapter 9: Analysis of Variance (ANOVA)
- Chapter 10: Fitting, Regressions, and Confidence Bands
- Back Matter
- Engineering Success: A Seminar for First-Year Students
- Cañada College
- Circuits and Devices
- Front Matter
- 1: Basic Concepts and Quantitites
- 2: Fundamental Laws
- 3: Circuit Simulations Using Computers
- 4: Analysis Theorems and Techniques
- 5: Nodal and Mesh Analysis, Dependent Sources
- 6: Capacitors and Inductors
- 7: Advanced Topic- Operational Amplifiers
- 8: Transient Behavior- First and Second Order Circuits
- 9: AC Signal Fundamentals
- 10: Series RLC Circuits
- 11: Parallel RLC Circuits
- 12: AC Circuit Analysis Theorems and Techniques
- 13: AC Power
- 14: Advanced Topic- Magnetic Circuits and Transformers
- Back Matter
- Circuits and Devices: Laboratory
- Front Matter
- 1: The Electrical Laboratory
- 2: Sources and Instruments
- 3: Relating V, I and R
- 4: Important Theorems
- 5: Circuit Analysis Techniques
- 6: First Order Circuits
- 7: AC Circuits
- 8: Introduction to RL and RC Circuits
- 9: Series RLC Circuits
- 10: Parallel RLC Circuits
- 11: DC Operational Amplifiers (Op Amps)
- Back Matter
- Circuits and Electronics Laboratory
- Front Matter
- 1: Lab Introduction
- 2: Resistors
- 3: Resistor Combinations
- 4: Theorems and Analysis Methods
- 5: Time-dependent and AC Signals and Circuits
- 6: RLC Circuits and Filtering
- 7: Diodes
- 8: Transistors
- 9: Operational Amplifiers (Op-Amps)
- Back Matter
- Circuits and Devices
- Coastline College
- Delta College
- CS11 - Informations Systems
- Front Matter
- 1: What is an Information System?
- 2: Information Systems for Strategic Advantage
- 2.1: Does IT Matter?
- 2.2: Business Processes
- 2.3: The People in Information Systems
- 2.4: Information Systems Development
- 3: Information Systems Beyond the Organization
- Back Matter
- CSP31A - C Programming
- Front Matter
- 1: Introduction to Programming
- 2: Program Planning and Design
- 3: Data and Operators
- 4: Often Used Data Types
- 5: Integrated Development Environment
- 6: Program Control Functions
- 7: Specific Task Functions
- 8: Standard Libraries
- 9: Character Data, Sizeof, Typedef, Sequence
- 10: Introduction to Structured Programming
- 11: Two Way Selection
- 12: Multiway Selection
- 13: Test After Loops
- 14: Test Before Loops
- 15: Counting Loops
- 16: String Class, Unary Positive and Negative
- 17: Conditional Operator and Recursion
- 18: Introduction to Arrays
- 19: File I
- 20: More Array Functions
- Back Matter
- Introduction to Programming Concepts - Python
- Front Matter
- 1: Introduction
- 1.1: Why should you learn to write programs?
- 1.2: Creativity and Motivation
- 1.3: Computer Hardware Architecture
- 1.4: Understanding Programming
- 1.5: Words and Sentences
- 1.6: Conversing with Python
- 1.7: Terminology - Interpreter and Compiler
- 1.8: Writing a Program
- 1.9: What is a program?
- 1.10: The Building Blocks of Programs
- 1.11: What could possibly go wrong?
- 1.12: The Learning Journey
- 1.13: Introduction (Exercises)
- 1.14: Introduction (Glossary)
- 2: Variables, Expressions, and Statements
- 2.1: Values and Types
- 2.2: Variables
- 2.3: Variable names and Keywords
- 2.4: Statements
- 2.5: Operators and Operands
- 2.6: Expressions
- 2.7: Order of Operations
- 2.8: Modulus Operator
- 2.9: String Operations
- 2.10: Asking the user for input
- 2.11: Comments
- 2.12: Choosing Mnemonic Variable Names
- 2.13: Debugging
- 2.14: Variables, Expressions, and Statements (Exercises)
- 2.15: Glossary
- 3: Conditional Execution
- 3.1: Boolean Expressions
- 3.2: Logical Operators
- 3.3: Conditional Execution
- 3.4: Alternative Execution
- 3.5: Chained Conditionals
- 3.6: Nested Conditionals
- 3.7: Catching exceptions Using Try and Except
- 3.8: Short-Circuit Evaluation of Logical Expressions
- 3.9: Debugging
- 3.10: Conditional Execution (Exercises)
- 3.11: Conditional Execution (Glossary)
- 4: Functions
- 4.1: Function Calls
- 4.2: Built-in Functions
- 4.3: Type Conversion Functions
- 4.4: Random Numbers
- 4.5: Math Functions
- 4.6: Adding New Functions
- 4.7: Definitions and Uses
- 4.8: Flow of Execution
- 4.9: Parameters and Arguments
- 4.10: Fruitful functions and void functions
- 4.11: Why functions?
- 4.12: Debugging
- 4.13: Functions (Exercises)
- 4.14: Functions (Glossary)
- 5: Iterations
- 5.1: Updating Variables
- 5.2: The while Statement
- 5.3: Infinite Loops
- 5.4: "Infinite loops" and break
- 5.5: Finishing iterations with continue
- 5.6: Definite loops using for
- 5.7: Loop patterns
- 5.8: Counting and Summing Loops
- 5.9: Maximum and Minimum Loops
- 5.10: Debugging
- 5.11: Iterations (Exercises)
- 5.12: Iterations (Glossary)
- 6: Strings
- 6.1: A string is a sequence
- 6.2: Getting the length of a string using len
- 6.3: Traversal through a string with a loop
- 6.4: String Slices
- 6.5: Strings are immutable
- 6.6: Looping and Counting
- 6.7: The in operator
- 6.8: String Comparison
- 6.9: String Methods
- 6.10: Parsing strings
- 6.11: Format operator
- 6.12: Debugging
- 6.13: Strings (Exercises)
- 6.14: Strings (Glossary)
- 7: Files
- 8: Lists
- 8.1: A list is a sequence
- 8.2: Lists are mutable
- 8.3: Traversing a List
- 8.4: List operations
- 8.5: List Slices
- 8.6: List Methods
- 8.7: Deleting Elements
- 8.8: Lists and Functions
- 8.9: Lists and Strings
- 8.10: Parsing lines
- 8.11: Objects and Values
- 8.12: Aliasing
- 8.13: List arguments
- 8.14: Debugging
- 8.15: Lists (Exercises)
- 8.16: Lists (Glossary)
- 9: Dictionaries
- 10: Tuples
- 10.1: Tuples are Immutable
- 10.2: Comparing Tuples
- 10.3: Tuple Assignment
- 10.4: Dictionaries and Tuples
- 10.5: Multiple assignment with dictionaries
- 10.6: The most common words
- 10.7: Using Tuples as Keys in Dictionaries
- 10.8: Sequences: strings, lists, and tuples - Oh My!
- 10.9: Debugging
- 10.10: Tuples (Exercises)
- 10.11: Tuples (Glossary)
- 11: Regular Expressions
- 11.1: Regular Expressions
- 11.2: Character matching in regular expressions
- 11.3: Extracting data using regular expressions
- 11.4: Combining searching and extracting
- 11.5: Escape Character
- 11.06: Bonus section for Unix
- 11.7: Debugging
- 11.8: Regular Expressions (Exercises)
- 11.9: Regular Expressions (Glossary)
- 11.10: Regular Expressions (Summary)
- 12: Networked Programs
- 12.1: HyperText Transfer Protocol - HTTP
- 12.2: The World's Simplest Web Browser
- 12.3: Retrieving an image over HTTP
- 12.4: Retrieving web pages with urllib
- 12.5: Parsing HTML and scraping the web
- 12.6: Parsing HTML using regular expressions
- 12.7: Parsing HTML using BeautifulSoup
- 12.8: Reading binary files using urllib
- 12.9: Networked Programs (Exercises)
- 12.10: Networked Programs (Glossary)
- 13: Python and Web Services
- 13.1: eXtensible Markup Language - XML
- 13.2: Looping through Nodes
- 13.3: JavaScript Object Notation - JSON
- 13.4: Parsing JSON
- 13.5: Application Programming Interfaces
- 13.6: Google geocoding web service
- 13.7: Security and API usage
- 13.8: Python and Web Services (Exercises)
- 13.9: Python and Web Services (Glossary)
- 14: Object-Oriented Programming
- 14.1: Managing Larger Programs
- 14.2: Getting Started
- 14.3: Using Objects
- 14.4: Starting with Programs
- 14.5: Subdividing a Problem - Encapsulation
- 14.6: Our First Python Object
- 14.7: Classes as Types
- 14.8: Many Instances
- 14.9: Object Lifecycle
- 14.10: Inheritance
- 14.11: Object-Oriented Programming (Glossary)
- 14.12: Object-Oriented Programming (Summary)
- 15: Using Databases and SQL
- Front Matter
- 15.1: What is a database?
- 15.2: Database Concepts
- 15.3: Database Browser for SQLite
- 15.4: Creating a database table
- 15.5: Structured Query Language summary
- 15.6: Spidering Twitter using a database
- 15.7: Basic data modeling
- 15.8: Programming with Multiple Tables
- 15.9: Constraints in Database Tables
- 15.10: Retrieve and
- 15.11: Storing the friend relationship
- 15.12: Three Kinds of Keys
- 15.13: Using JOIN to retrieve data
- 15.14: Degugging
- 15.15: Using Databases and SQL (Glossary)
- 15.16: Using Databases and SQL (Summary)
- Back Matter
- 16: Visualizing data
- Back Matter
- C++ Programming I (McClanahan)
- Front Matter
- 1: Building and Running C++ Code
- 2: C++ Basics
- 3: Program Planning and Design
- 4: Data and Operators
- 4.1: We Begin to Code...
- 4.2: Data Types in C++
- 4.3: Identifier Names
- 4.4: Constants and Variables
- 4.5: Data Manipulation
- 4.6: Assignment Operator
- 4.7: L Value and R Value
- 4.8: Sizeof Operator
- 4.9: Arithmetric Operators
- 4.10: Data Type Conversions
- 4.11: Operator Overloading
- 4.12: Unary Positive and Negative Operators
- 4.13: Bitwise Operators
- 5: Common Data Types
- 6: Conditional Execution
- 7: Conditional Loops
- 8: Counting Loops
- 9: Introduction to Arrays
- 10: Functions
- 11: C++ Input and Output
- 12: Pointers
- 13: Object Oriented C++
- 14: Overloading in C++
- 15: Polymorphism
- 16: Inheritance
- 19: Handling Errors
- this is a test
- Back Matter
- C++ Data Structures
- Front Matter
- 1: OOP Concepts
- 2: C++ Pointers
- 3: Dynamic Memory Allocation and Arrays
- 4: Inheritence
- 4.1: The Concept of Inheritance
- 4.2: Why and when to use inheritance?
- 4.3: Implementing inheritance in C++
- 4.4: Modes of Inheritance
- 4.5: Types of Inheritance in C++
- 4.6: Types of Inheritance in C++
- 4.7: Types of Inheritance
- 4.8: Types of Inheritance
- 4.9: Types of Inheritance
- 4.10: Programming Assignment- Inheritance
- 5: Polymorphism
- 6: Abstraction / Encapsulation
- 7: Linked Lists
- 8: Recursion
- 9: Stack Data Structure
- 10: Queues Data Structures
- 11: Hashing
- 12: Heap
- 13: Sorting
- 14: Binary Trees
- Back Matter
- Operating System: The Basics
- 1: The Basics - An Overview
- 2: Operating System Overview
- 3: Processes - What and How
- 4: Threads
- 5: Concurrency and Process Synchronization
- 6: Concurrency: Deadlock and Starvation
- 7: Memory Management
- 8: Virtual Memory
- 9: Uniprocessor CPU Scheduling
- 10: Multiprocessor Scheduling
- 12: File Management
- Information Security
- Front Matter
- 1: Information Security Defined
- 2: Authenticate and Identify
- 3: Authorize and Access Control
- 4: Accountability and Auditing
- 5: Cryptography
- 6: Compliance , Laws and Regulations
- 7: Network Fundamentals
- 8: Web Application and Wireless Network Attacks
- 9: Malware and Security Attacks
- 10: Social Engineering
- 11: Secure Software Design
- 12: Malware, Viruses & Other Threats
- 13: Application Security
- 14: Assessing Security
- Back Matter
- Web Animation (McClanahan)
- Front Matter
- 1: Values, Types, and Operators
- 2: Program Structure
- 3: Functions
- 4: Objects and Arrays
- 5: The Secret Life of Objects
- 6: Bugs and Errors
- 7: Regular Expressions
- 8: Modules
- 9: Asynchronous Programming
- 10: JavaScript and the Browser
- 11: The Document Object Model
- 12: Handling Events
- 13: Drawing on Canvas
- 14: Projects
- 15: Node
- 16: Uncovered Chapters
- Back Matter
- Introduction to Operating Systems
- Front Matter
- 1: Binary and Number Representation
- 2: The Basics - An Overview
- 3: The Operating System
- 4: Computer Architecture - the CPU
- 5: Computer Architecture - Memory
- 6: Computer Architecture - Peripherals and Buses
- 7: Small to Big Systems
- 8: Processes
- 9: Threads
- 10: Concurrency and Process Synchronization
- 11: Concurrency- Deadlock and Starvation
- 12: Memory Management
- 13: Virtual Memory
- 14: Uniprocessor CPU Scheduling
- 15: Multiprocessor Scheduling
- 16: I/O and Disk Management
- 17: File Management
- Back Matter
- Introduction to Information Systems
- Front Matter
- 1: Information Systems - Introduction
- 2: Information Systems - Hardware
- 3: Information Systems - Software
- 4: Information Systems - Data and Databases
- 5: Information Systems - Networking and Communication
- 6: Information Systems - Security
- 7: Information Systems - Does IT Matter
- 8: Information Systems - Business Processes
- 9: Information Systems - People
- 10: Information Systems - Development
- 11: Information Systems - Globalization and the Digital Divide
- 12: Information Systems - Ethical and Legal Implications
- 13: Information systems - Future Trends
- Back Matter
- Database Design - NOT GOOD
- Front Matter
- Chapter 1 - Before the Advent of Database Systems
- Chapter 2 - Fundamental Concepts
- Chapter 3 - Characteristics and Benefits of a Database
- Chapter 4 - Types of Data Models
- Chapter 5 - Data Modelling
- Chapter 6 - Classification of Database Management Systems
- Chapter 7 - The Relational Data Model
- Chapter 8 - The Entity Relationship Data Model
- Chapter 9 - Integrity Rules and Constraints
- Chapter 10 - ER Modelling
- Chapter 11 - Functional Dependencies
- Chapter 12 - Normalization
- Chapter 13 - Database Development Process
- Chapter 14 - Database Users
- Chapter 15 - SQL Structured Query Language
- Chapter 16 - SQL Data Manipulation Language
- Back Matter
- Introduction to Database Systems
- Front Matter
- 1: Introduction to Database Systems and SQL
- 1.1: Introduction and Background
- 1.2: Limitations of Conventional File Processing
- 1.3: Data Redundancy
- 1.4: Data Accuracy
- 1.5: Data Security
- 1.6: Advantages of Databases
- 1.7: Costs and Risks of Database Approach
- 1.8: Components of a Database Environment
- 1.9: Database Systems Development Life Cycle
- 1.10: Single-User and Multi-user Database Applications
- 1.11: Concise Summary
- 1.12: Extended Resources
- 1.13: References
- 2: Data Modelling
- 3: The Relational Data Model
- 4: Integrity Rules, Constraints and Functional Dependencies
- 5: ER Modeling
- 6: Relationship Diagram for Data Analysis-ER and SQL
- 6.1: Introduction and Background
- 6.2: Understanding the Importance of Data Modeling
- 6.3: Naming and Definitions
- 6.4: Modeling
- 6.5: Business Intelligence Systems and Data Warehouse
- 6.6: Introduction to Structure Query Language (SQL)
- 6.7: Submitting SQL Statement to the DBMS
- 6.8: Concise Summary
- 6.9: Extended Resources
- 6.10: References
- 7: Mapping ER to Schema, Normalization
- 8: SQL and ER
- 9: SQL - Structured Query Language
- 10: SQL Data Manipulation Language
- 11: Client/Server Architecture
- 11.1: Introduction and Background to Client/Server Systems and Multi-tier Architecture
- 11.2: Three Components of Client/Server Systems
- 11.3: Two-tier and Three-tier Architectural Distinctions
- 11.4: Connecting to databases in three-tier applications
- 11.5: Concise Summary
- 11.6: Extended Resources
- 11.7: References
- 12: Physical Database Design and Database Security
- 13: Data Warehouse
- 14: Virtual Desktop and Implementing SQL Queries
- Back Matter
- Web Site Design - HTML (2022)
- Web Site Design
- Master CS11 POCR
- Front Matter
- 1: Information Systems - Introduction
- 2: Technology Enabled Strategy
- 3: Hardware
- 4: Software
- 5: Data
- 6: Networks
- 7: Systems Development
- 8: Information Systems - Security
- 9: Impacts of Information Systems
- 10: E-Business
- 11: Business Process Solutions
- 12: Decision Support
- 12.1: Chapter Introduction
- 12.2: Big Data
- 12.3: Managerial Decision Making
- 12.4: Decision Types
- 12.5: Decision Support Systems
- 12.6: Business Intelligence and Data Analytics
- 12.7: Data Analysis Projects
- 12.8: Analysis and Reporting Tools
- 12.9: Data Repositories
- 12.10: Summary
- 12.11: Key Terms
- 12.12: Knowledge Check
- 13: Emerging Technology
- Back Matter
- CS11 - Informations Systems
- Diablo Valley College
- ENGTC168 - Intro To Computer Numerical Control (CNC)
- Front Matter
- 1: Overview Of CNC Machining
- 2: Introduction To G-code Programming
- 3: CNC Control Systems
- 4: CNC Milling Machine Setup For Part Production
- 5: Introduction To Cutting Tool Characteristics
- 6: Post-Processing Part Files For Machining
- 7: 3D Modeling Of Parts And Components (CAD)
- 8: Introduction to Computer Aided Machining (CAM) Software
- 8.1: Graphic user interface and operating environment
- 8.2: Tools menu
- 8.3: Lab - Tool libraries and tool length offsets
- 8.4: Lab - Types of tool paths
- 8.5: Cartesian coordinate systems
- 8.6: Graphic standards and representation methods
- 8.7: Creating part geometry
- 8.8: Creating points, lines, and arcs using CAM software
- 8.9: Lab - Creating tool paths in 2D
- 8.10: Lab - Creating tool paths in 3D
- 8.11: Assembly design workflow
- 8.12: Lab - Additional instructions and operations
- 8.13: Lab - Previewing a tool path
- Back Matter
- ENGTC168 - Intro To Computer Numerical Control (CNC)
- Folsom Lake College
- Fontys University of Applied Sciences
- Telecommunications
- Front Matter
- 1: Passive Components
- 2: Transmission Lines
- 3: Impedance Matching
- 3.1: Introduction
- 3.2: Matching Networks
- 3.3: Impedance Transforming Networks
- 3.4: The L Matching Network
- 3.5: Dealing with Complex Loads
- 3.6: Dealing with Complex Loads
- 3.7: Summary
- 3.8: References
- 3.9: Exercises
- 3.10: Impedance Matching Using Smith Charts
- 3.11: Distributed Matching
- 3.12: Matching Using the Smith Chart
- 4: Filters
- 4.1: Introduction
- 4.2: Singly and Doubly Terminated Networks
- 4.3: The Lowpass Filter Prototype
- 4.4: The Maximally Flat (Butterworth) Lowpass Approximation
- 4.5: The Chebyshev Lowpass Approximation
- 4.6: Element Extraction
- 4.7: Butterworth and Chebyshev Filters
- 4.8: Impedance and Admittance Inverters
- 4.9: Filter Transformations
- 4.10: Cascaded Line Realization of Filters
- 4.11: Butterworth and Chebyshev Bandpass Filters
- 4.12: Richard’s Transformation
- 4.13: Kuroda’s and Norton’s Network Identities
- 4.14: Inter-resonator Coupled Bandpass Filters
- 4.15: Bandpass Filter Topologies
- 4.16: Case Study- Design of a Bandstop Filter
- 4.17: Active Filters
- 4.18: Transient Response of a Bandpass Filter
- 4.19: Summary
- 4.20: References
- 4.21: Exercises
- 5: Oscillators
- 6: Antennas and the RF Link
- Back Matter
- Telecommunications
- Fresno City College
- Discrete Mathematics for Computer Science (Jin He)
- Front Matter
- 1: Introduction to Propositional Logic
- 1.1: Propositions
- 1.2: Predicates
- 1.3: Proving an Implication
- 1.4: Proving an “If and Only If”
- 1.5: Proof by Cases
- 1.6: Proof by Contradiction
- 1.7: Propositions from Propositions
- 1.8: Propositional Logic in Computer Programs
- 1.9: Equivalence and Validity
- 1.10: The Algebra of Propositions
- 1.11: Predicate Formulas
- 2: Sets and Set Operations
- 3: Functions and Binary Relations
- 4: Mathematical Induction
- 5: Algorithms
- 6: Cardinality Rules
- 7: Graph Theory
- 8: Trees
- Back Matter
- Discrete Mathematics for Computer Science (Jin He)
- Hawaii Community College
- Ecology and Environment: BIOL 124 at Hawaii Community College
- Front Matter
- 1: Environmental Science
- 2: The Physical World
- 3: Matter, Energy, and Life
- 4: Biomes and the Biosphere
- 5: Community and Population Ecology
- 6: Conventional and Sustainable Energy
- 7: Conservation and Biodiversity
- 8: Environmental Hazards and Human Health
- 9: Water Availability and Use
- 10: Food and Hunger
- 11: Conventional and Sustainable Agriculture
- 12: Environmental Effects of Forestry
- 13: Air Pollution, Climate Change, and Ozone Depletion
- 14: Sustainability - Ethics, Culture, and History
- Page 14.1: The Human Dimensions of Sustainability- History, Culture, Ethics
- Page 14.2: It’s Not Easy Being Green- Anti-Environmental Discourse, Behavior, and Ideology
- Page 14.3: The Industrialization of Nature- A Modern History (1500 to the present)
- Page 14.4: Case Study- Agriculture and the Global Bee Colony Collapse
- Page 14.5: Sustainability Ethics
- Back Matter
- Ecology and Environment: Extended Version
- Front Matter
- 1: Environmental Science
- 2: The Physical World
- 3: Matter, Energy, and Life
- 4: Biomes and the Biosphere
- 5: Community and Population Ecology
- 6: Conventional and Sustainable Energy
- 7: Conservation and Biodiversity
- 8: Environmental Hazards and Human Health
- 9: Water Availability and Use
- 10: Environment and Ecology- Oceans in Peril
- 00: Front Matter
- 10.1: Oceans and Coastal Environments
- 10.2: Climate and Carbon Cycle
- 10.3: El Niño and La Niña
- 10.4: The Warming of Our Oceans
- 10.5: Ocean Acidification
- 10.6: Pollution- Sources and Types
- 10.7: Coral Reefs and Diversity
- 10.8: Invasive Species
- 10.9: Fisheries Management
- 10.9.1: Managing Fisheries
- 10.9.2: Overfishing
- 10.9.3: Destructive fishing methods
- 10.9.4: Fisheries Law, Policy and International Issues
- 10.9.5: Marine Protected Areas
- 10.9.6: Whaling
- 10.9.7: Diseases and Pathogens
- 10.9.8: Aquaculture
- 10.9.9: Human Factors
- 10.9.10: Climate Change
- 10.9.11: Management Mechanisms, Catch Quotas
- 10.9.12: Population Dynamics
- 10.10: Energy From the Sea
- 10.11: Major Environmental Events
- 10.12: Volunteer to be Victorious
- 11: Food and Hunger
- 12: Conventional and Sustainable Agriculture
- 13: Environmental Effects of Forestry
- 14: Solid Waste Management
- 15: Air Pollution, Climate Change, and Ozone Depletion
- 16: Sustainability - Ethics, Culture, and History
- 16.1: The Human Dimensions of Sustainability- History, Culture, Ethics
- 16.2: It’s Not Easy Being Green- Anti-Environmental Discourse, Behavior, and Ideology
- 16.3: The Industrialization of Nature- A Modern History (1500 to the present)
- 16.4: Case Study- Agriculture and the Global Bee Colony Collapse
- 16.5: Sustainability Ethics
- Back Matter
- Environment and Ecology: Oceans in Peril
- Front Matter
- 1: Oceans and Coastal Environments
- 2: Climate and Carbon Cycle
- 3: El Niño and La Niña
- 4: The Warming of Our Oceans
- 5: Ocean Acidification
- 6: Pollution- Sources and Types
- 7: Coral Reefs and Diversity
- 8: Invasive Species
- 9: Fisheries Management
- 9.1: Managing Fisheries
- 9.2: Overfishing
- 9.3: Destructive fishing methods
- 9.4: Fisheries Law, Policy and International Issues
- 9.5: Marine Protected Areas
- 9.6: Whaling
- 9.7: Diseases and Pathogens
- 9.8: Aquaculture
- 9.9: Human Factors
- 9.10: Climate Change
- 9.11: Management Mechanisms, Catch Quotas
- 9.12: Population Dynamics
- 10: Energy From the Sea
- 11: Major Environmental Events
- 12: Volunteer to be Victorious
- Back Matter
- Ecology and Environment: BIOL 124 at Hawaii Community College
- Northeast Wisconsin Technical College
- Design for Various Manufacturing Methods
- Front Matter
- 1: Design for Manufacturing (DFM)
- 2: DFM Guidelines for Specific Manufacturing Processes
- 3: Additive Manufacturing Methods
- 4: AI and AM Generative Design
- 5: Cost Analysis of Traditional Manufacturing vs. Additive Manufacturing Methods
- 6: Differences in 3D Models and Detail Prints for Various Manufacturing Methods
- 7: Justify Your Design Decision
- Back Matter
- Statics (NWTC)
- Front Matter
- 1: Principles of Statics
- 2: Static Equilibrium in Concurrent Force Systems
- 3: Static Equilibrium of Rigid Bodies
- 4: Statically Equivalent Systems
- 4.1: Statically Equivalent Systems
- 4.2: Resolution of a Force into a Force and a Couple
- 4.3: Equivalent Force Couple System
- 4.4: Distributed Forces
- 4.5: Equivalent Point Load
- 4.6: Centroids and Centers of Mass via Method of Composite Parts
- 4.7: Centroids and Area Moments of Inertia for 2D Shapes
- 4.8: Center of Mass and Mass Moments of Inertia for Homogeneous 3D Bodies
- 4.9: Chapter 4 Homework Problems
- 5: Engineering Structures
- Back Matter
- Design for Various Manufacturing Methods
- North Carolina State University
- CAD Skills for First-Year Engineers: A Hands-On Guide to Sketching, Drafting, and Prototyping
- Front Matter
- 1: Sketching
- 2: Modularity
- 3: Computer Aided Design (CAD)
- 4: Hands-on tutorials
- 5: 3D printing
- Back Matter
- Spreadsheet software for engineering: an applied guide
- CAD Skills for First-Year Engineers: A Hands-On Guide to Sketching, Drafting, and Prototyping
- Oxnard College
- Matlab and Octave Programming for STEM Applications (Smith)
- Front Matter
- 1: Modeling, Simulation, and MATLAB’s Interpreter
- 1.1: Obtaining MATLAB and Octave
- 1.2: Modeling
- 1.3: A Glorified Calculator
- 1.4: MATLAB User Interface
- 1.5: Octave User Interface
- 1.6: Variables and Assignment Statements
- 1.7: Clearing the Workspace, Readability Tips
- 1.8: Errors
- 1.9: Built-in Function Documentation
- 1.10: Chapter Review
- 1.11: Chapter 1 videos English and Espanol
- 1.12: Exercises
- 2: MATLAB/Octave Scripts
- 2.1: How to Create a Script File and Valid File Names
- 2.2: Your First Script
- 2.3: Examples of assignment scripts
- 2.4: Why Scripts?
- 2.5: The Fibonacci Sequence
- 2.6: Floating-Point Numbers
- 2.7: Scientific Notation for Large and Small Numbers
- 2.8: Number formats
- 2.9: Complex Numbers
- 2.10: Script Comments
- 2.11: Script Documentation
- 2.12: Assignment and Equality
- 2.13: Understanding Editor Warning and Error messages
- 2.14: Debugging Directory Errors
- 2.15: Chapter Review
- 2.16: Chapter 2 Scripts videos English and Espanol
- 2.17: Exercises
- 3: for Loops, Ploting Points, Sequences, and Series
- 3.1: Updating Variables
- 3.2: Bug Taxonomy
- 3.3: Absolute and Relative Error
- 3.4: for Loops
- 3.5: Plotting Points
- 3.6: Sequences
- 3.7: Series
- 3.8: Generalization
- 3.9: Incremental Development
- 3.10: for Loop Incremental Development Exercise
- 3.11: Chapter Review
- 3.12: Chapter 3 for loop Videos in English and Espanol
- 3.13: Exercises
- 4: Vectors
- 4.1: Creating Vectors
- 4.2: Methods to Create Vectors in MATLAB
- 4.3: Vector Arithmetic
- 4.4: Selecting Elements
- 4.5: Indexing Errors
- 4.6: Vectors and Sequences
- 4.7: disp() and num2str() Functions and Concatenation
- 4.8: Plotting Vectors
- 4.9: Recursive for Loops
- 4.10: Common Vector Operations
- 4.11: Common Vector Functions
- 4.12: Chapter Review
- 4.13: Chapter 4 Vector Videos In English and Espanol
- 4.14: Exercises
- 5: User-Defined Functions
- 5.1: Name Collisions
- 5.2: Defining Functions
- 5.3: Function Documentation
- 5.4: Naming Functions
- 5.5: Functions With Multiple Input Variables
- 5.6: Functions with Multiple Outputs
- 5.7: Matlab Functions with No Inputs
- 5.8: Matlab Functions with No Outputs
- 5.9: Matlab Functions with No Inputs and No Outputs
- 5.10: Functions with variable numbers of inputs or outputs
- 5.11: How Functions Work
- 5.12: Chapter Review
- 5.13: Chapter 5 Function videos English and Espanol
- 5.14: Exercise
- 6: Conditionals Part 1
- 6.1: Relational Operators
- 6.2: if Statement
- 6.3: if, else, elseif
- 6.4: Incremental Development
- 6.5: Logical Functions
- 6.6: Nested for Loops
- 6.7: Putting It Together
- 6.8: Encapsulation and Generalization
- 6.9: Adding a continue Statement
- 6.10: Chapter Review
- 6.11: Chapter 6 if-logic videos English and Espanol
- 6.12: Exercise
- 7: Conditionals Part 2- Series, Switch Logic, Error Checking, and While Loops
- 7.1: if, elseif, else with Error Checking
- 7.2: Flowcharts
- 7.3: The input() Function
- 7.4: Compound Logical Operators
- 7.5: Working with Conditions
- 7.6: Shortcut and, or, Logical Operations
- 7.7: for loops with break Logic
- 7.8: 'while' Loops
- 7.9: 'switch' Logic
- 7.10: The find() function
- 7.11: Chapter 7 Conditionals, Part 2, Videos English and Espanol
- 8: User-defined Functions of Vectors
- 9: MATLAB Random Number and Statistics Functions
- 10: Interpolation and Curve Fitting
- 11: Zero Finding and Fourier Transforms
- 11.1: Solving Nonlinear Equations with fzero()
- 11.2: fzero() Examples and Exercises
- 11.3: Using fzero() to find the intersection of 2 functions
- 11.4: Subfunctions
- 11.5: Anonymous (or In-Line) Functions
- 11.6: Debugging- More Name Collisions
- 11.7: Fourier Transforms
- 11.8: Chapter Review
- 11.9: Chapter 11 Zero finding Videos English and Espanol
- 11.10: Exercises
- 12: MATLAB Matrices (Arrays)
- 13: Linear Algebra
- 13.1: Basic Matrix Multiplication
- 13.2: Matrix Multiplication Applications
- 13.3: Matrix Inverse, Rank and Determinant
- 13.4: Solving Systems of Equations
- 13.5: Systems of Equations Examples and Exercises
- 13.6: Over-Determined Systems of Equations
- 13.7: Chapter 13 Linear Algebra Videos in English and Espanol
- 14: Advanced Plotting
- 15: Formatted Input and Output
- 16: MATLAB Structures and Data Types
- 17: Top-Down Design, Agile Software Development, and Object-Oriented Programming in MATLAB
- 18: Integration and Differentiation
- 19: Ordinary Differential Equations
- 20: Symbolic Processing
- Back Matter
- Matlab and Octave Programming for STEM Applications (Smith)
- Prince George's Community College
- INT 1010: Concepts in Computing
- Front Matter
- 1: Introduction to INT 1010 - Introduction to Information Technology
- 2: Introduction to Information Systems
- 3: Hardware Components of an Information System
- 4: Software Component of an Information System
- 5: Issues in Computing
- 6: Networking and Communication
- 7: Databases
- 8: The People in Information Systems
- 9: Introduction to Web Development
- 10: Internet Privacy, Internet Security, and Netiquette
- 11: Communication and the Internet
- 11.1: Internet Browsers
- 11.2: Basic Browser Tools
- 11.3: Data and Customer Rights
- 11.4: Web Searching
- 11.5: Identifying Search Results
- 11.6: Web Browsers and the Internet
- 11.7: Web Literacy for Student Fact-Checker Topics
- 11.8: Getting Started in Chrome - Bookmarking in Chrome and more
- 11.9: Introduction to Internet Safety
- 11.10: Using Windows Defender Scan
- 11.11: Internet and Computer Safety Tips
- 11.12: Fresh Start
- 11.13: Automatic Updates
- 11.14: Avast Academy – How to Open Incognito Mode in Chrome
- 11.15: Avast Academy – How to Clear Your Browser History
- 11.16: Avast Academy – What are cookies and how to clear them
- 11.17: Email Basics
- 11.18: INTERNET PRIVACY, COMPUTER SECURITY AND NETIQUETTE
- 11.19: INTERNET PRIVACY, COMPUTER SECURITY AND NETIQUETTE
- 12: Information Systems for Business
- Front Matter
- 12.1: Introduction to Information Systems?
- 12.2: Hardware
- 12.3: Software
- 12.4: Data and Databases
- 12.5: Networking and Communication
- 12.6: Information Systems Security
- 12.7: Does IT Matter?
- 12.8: Business Processes
- 12.9: The People in Information Systems
- 12.10: Information Systems Development
- 12.11: Globalization and the Digital Divide
- 12.12: The Ethical and Legal Implications of Information Systems
- 12.13: Future Trends in Information Systems
- Back Matter
- Back Matter
- INT 2080: The Missing Link - An Introduction to Web Development (Mendez)
- INT 2840: Systems Analysis and Project Management
- Front Matter
- 1: Introduction to Information Systems and Business Processes
- 1.1: Components of an Information System
- 1.1.1: The People in Information Systems
- 1.1.2: Data Asset in Action- Harrah’s Solid Gold CRM for the Service Sector
- 1.1.3: The Role of Information Systems
- 1.1.4: Competitive Advantage
- 1.1.5: Section 1 Summary
- 1.2: Business Processes
- 1.1: Components of an Information System
- 2: Information Systems Development & RFPs
- 3: Software
- 4: Project Scheduling Tools
- 5: Project Management
- 6: Teamwork and Leadership
- 7: Fact-Finding Techniques and Data
- 8: Information Systems Security
- 9: Appendix
- 9.1: supplemental- Logical Models
- 9.2: Project Management
- 9.2.1: Stakeholder Management
- 9.2.2: Culture and Project Management
- 9.2.3: Team Formation, Team Management, and Project Leadership
- 9.2.4: Project Initiation
- 9.2.5: Project Schedule Planning
- 9.2.6: Resource Planning
- 9.2.7: Budget Planning
- 9.2.8: Procurement Management
- 9.2.9: Quality Planning
- 9.2.10: Project Implementation Overview
- 9.2.11: Project Completion
- Back Matter
- INT 1010: Concepts in Computing
- Remixer University
- University of Arkansas Little Rock
- IFSC 4399 - The Internet of Things (IoT)
- introduction to the Internet of Things
- Introduction to the Raspberry Pi
- Putting the Raspberry Pi on the network, residential version
- Communication with the RPi using VNC and SSH
- Introduction to Linux for the Raspberry Pi-history
- Introduction to Linux for the Raspberry Pi-command line
- The Linux philosophy, Legos and the RPi
- Putting the OS on your Raspberry Pi SD card
- Setup Adafruit IO account for IoT
- Linux commands in the bash environment
- Cyber security
- The pwnagotchi filter? Or Invasion of the pwnagotchi!
- Backup your RPi data using rsync
- Secure shell keys
- Data wrangling
- Setting up a WiFi hotspot using the RPi
- Editors, IDEs, scripts, interpreters, and compiled code
- Setup pitunnel for VNC access
- The Linux crontab, scheduling events
- MCP3008 Raspberry Pi Interfacing
- BME680 sensor setup using I2C
- Setting up the 1-wire interface for the RPi
- Digital and analog signals
- Controllable Four Outlet Power Relay
- Grove Analog Resistive Plant Moisture Sensor
- Grove Analog Air Quality Sensor
- LIS3DH Triple-Axis Accelerometer
- Grove connectors
- Hats for the Raspberry Pi
- Grove IR Interrupter Detector
- Grove LED
- Grove AHT20
- Grove AHT20 temperature and humidity sensor
- Introduction to Control Systems (Iqbal)
- 1: Mathematical Models of Physical Systems
- 1.1: Model Variables and Element Types
- 1.2: First-Order ODE Models
- 1.3: Solving First-Order ODE Models
- 1.4: Second-Order ODE Models
- 1.5: Solving Second-Order ODE models
- 1.6: Obtaining Transfer Function Models
- 1.7: DC Motor Model
- 1.8: Industrial Process Models
- 1.9: State Variable Models
- 1.10: Linearization of Nonlinear Models
- 1: Mathematical Models of Physical Systems
- IoT remix
- IFSC 4399 - The Internet of Things (IoT)
- University of California San Diego
- Arkansas Tech University
- Bookshelves
- Artificial Intelligence
- The Data Renaissance: Analyzing the Disciplinary Effects of Big Data, Artificial Intelligence, and Beyond
- Front Matter
- A/B and Multivariate Testing
- AI Career Research
- AI Ethics: Privacy, Security, and Bias
- AI for Image Creation and Decision Making
- AI Tools and Applications for Social Media
- AI & Ethics: A Discussion
- AI & Society
- Algorithms in the Age of Capitalism
- Analyzing Other Approaches
- An Open Question
- Artificial Intelligence in Strategic Communication
- A Brief History
- A Constitutional Right to Privacy?
- Becoming Data
- Big Data
- Big Data in the Film Industry
- Case Study: "It's Perfect, Four Stars!"
- Challenges with Media Literacy
- Cheat Detection
- Complications with Algorithmic Systems
- Conclusion
- Contents
- COVID-19: Surveillance and Personal Privacy
- Data and Target Audience
- Data Feminism: The Numbers Don’t Speak for Themselves
- Data in Public Relations, Social Media, and Advertising
- Data in Sports Marketing
- Data Literacy
- Data Used for Campaigns
- Data Used for Revenue
- Differences Between ChatGPT 3 and 4
- Discussion or Reflection Questions
- Enhancing Creativity and Productivity with AI
- Ethics of Search Engines
- Further Reading
- Generative AI in the Classroom and Workspace
- Generative AI Pre-Test
- Grant Information
- Hands-on Project
- How Common are Microtransactions?
- How Data Has Been Used in the Film Industry
- How Generative AI Works
- How Quickly Can it Add Up?
- How to Use This Book
- Human Commerce
- Impact of Microtransactions
- Into the Future
- Introduction
- Key Essentials
- Land Acknowledgement Statement for the ROTEL Grant
- Language, Diversity, Inclusivity, and ChaptGPT
- Legal and Social Implications of AI
- Links to Tools
- Little Brother
- Living and Dying by the Algorithms
- Machine Learning in the Development of Video Games
- Media Literacy
- Media Literacy & Data Literacy Skills
- Media & Data Literacy
- Modern Applications of AI in Games
- Original Contributors
- Outlook
- Post-Test and Survey
- Predicting Box-Office Success in the Film Industry
- Principle: Consider Context
- Project Rationale
- Prompt-Writing Tips
- Recommended Reading (and Listening/Viewing)
- References
- Similarities
- SOPHIA Discussion Guides
- Sources of Data in Sports Marketing
- The Advantages of Big Data in the Film Industry
- The American Motion Picture Industry and Big Data
- The Data Renaissance: Analyzing the Disciplinary Effects of Big Data, Artificial Intelligence, and Beyond [Revised Edition]
- The Ethics of Fake News
- The Ethics of Social Media Use By Children
- The “Fault” in Our Stars
- The Future of AI and Jobs
- The Future of Sports Marketing
- The Limitations of Big Data in the Film Industry
- The Matchmaking Process
- The Shift to “Objective” Stars
- The Use of Matchmaking Data for Competitive Online Multiplayer Gaming
- Types of Learning
- Understanding Big Data
- Understanding Data Literacy Skills
- Untitled Page 01
- Untitled Page 02
- Version History
- Video Games, Microtransactions, and Data
- What is Algorithmic Accountability?
- What Is an Algorithm?
- Who Are We Rating?
- Who Rates the Rater?
- Why Care About Data & Society?
- Wrap-up
- Wrap Up
- Back Matter
- The Data Renaissance: Analyzing the Disciplinary Effects of Big Data, Artificial Intelligence, and Beyond
- Introductory Engineering
- Basic Engineering Science - A Systems, Accounting, and Modeling Approach (Richards)
- Front Matter
- 1: Introduction
- 2: Basic Concepts
- 3: Conservation of Mass
- 4: Conservation of Charge
- 5: Conservation of Linear Momentum
- 6: Conservation of Angular Momentum
- 7: Conservation of Energy
- 8: Entropy Production and Accounting
- 9: Appendices
- 9.1: Appendix A- Solving Engineering Problems - A Problem-Solving Heuristic
- 9.2: Appendix B- Dimensions and Units
- 9.3: Appendix C- Summary of Conservation and Accounting Equations, Unit Conversions, Property Models, Thermophysical Property Data
- 9.4: Supplementary Materials- Course Learning Objectives
- 9.5: Conservation of Energy, the Work-Energy Principle, and the Mechanical Energy Balance
- 9.6: Modeling Devices as Steady-State, Open Systems
- Back Matter
- EGR 1010: Introduction to Engineering for Engineers and Scientists
- Front Matter
- 1: Preface
- 2: Description of topics
- 3: What we intend to learn here
- 4: What is engineering? Who are engineers?
- 5: What is a computer?
- 6: Understanding (how to investigate on your own)
- 7: Operating Systems with Brief History
- 8: Brief History of Popular Programs
- 9: Programming in any language
- 10: Parachute Person
- 11: Historical case studies in Engineering
- 12: Case Study on Nanotechnology
- 13: Student led case study in engineering
- 14: Fundamentals of Engineering
- 14.1: The importance of Units
- 14.2: Arithmetic
- 14.3: Geometry
- 14.4: Analytic Geometry
- 14.5: Scalars, vectors, and tensors
- 14.6: Calculus
- 14.7: Infinitesimal calculus for derivatives
- 14.8: Infinitesimal Calculus for integration
- 14.9: Statistics and Probability
- 14.10: Differential equations
- 14.11: Mechanics
- 14.12: Thermodynamics (Statistical Physics)
- 14.13: Electrical Circuits
- 14.14: Signals and Systems (Control systems)
- 14.15: Optics
- 14.16: Chemistry
- 15: Laboratory Project for Introduction to Engineering
- 16: Beyond the basics of computers
- 17: Documentation and such
- 18: Advanced Programming Concepts
- 19: Using Computers for Engineering and Science
- 20: Program Design Project
- 21: Ethics and Group Dynamics
- 22: Storage of tests of Libretext's ability
- Back Matter
- Introduction to Engineering
- Front Matter
- Chapters
- Front Matter
- Chapter 00: How to use this textbook
- Chapter 01: Is it a bird? Is it a plane?
- Chapter 02: Engineers are Professionals
- Chapter 03: Units, Dimensions, and Conversions
- Chapter 04: Excel Basics
- Chapter 05: Creating Charts in Excel
- Chapter 06: Mathematical Models
- Chapter 07: Introduction to MATLAB
- Chapter 08: MATLAB Scripting and Arrays
- Chapter 09: Math Operations With Arrays
- 1.17: Example of Discussion Post
- 1.18: Example of Interactive Elements
- Chapter 10: MATLAB Plotting
- Chapter 11: Relational and Logical Operators
- Chapter 12: Thinking Algorithmically
- Chapter 13: MATLAB Decisions
- Chapter 14: MATLAB Loops
- Chapter 15: User Defined Functions
- Chapter 16: Technical Presentations
- Back Matter
- Back Matter
- Basic Engineering Science - A Systems, Accounting, and Modeling Approach (Richards)
- Aerospace Engineering
- Aerodynamics and Aircraft Performance 3e (Marchman)
- Front Matter
- 1: Introduction to Aerodynamics
- 2: Propulsion
- 3: Additional Aerodynamics Tools
- 4: Performance in Straight and Level Flight
- 5: Altitude Change - Climb and Guide
- 6: Range and Endurance
- 7: Accelerated Performance - Takeoff and Landing
- 8: Accelerated Performance - Turns
- 9: The Role of Performance in Aircraft Design - Constraint Analysis
- 10: Appendix - Airfoil Data
- Back Matter
- Fundamentals of Aerospace Engineering (Arnedo)
- Front Matter
- 1: The Scope
- 2: Generalities
- 3: Aerodynamics
- 4: Aircraft structures
- 5: Aircraft instruments and systems
- 6: Aircraft propulsion
- 7: Mechanics of flight
- 7.1: Performances
- 7.1.1: Reference frames
- 7.1.2: Hypotheses
- 7.1.3: Aircraft equations of motion
- 7.1.4: Performances in a steady linear flight
- 7.1.5: Performances in steady ascent and descent flight
- 7.1.6: Performances in gliding
- 7.1.7: Performances in turn maneuvers
- 7.1.8: Performances in the runway
- 7.1.9: Range and endurance
- 7.1.10: Payload-range diagram
- 7.2: Stability and control
- 7.3: Problems
- 7.4: References
- 7.1: Performances
- 8: Air transportation
- 9: Airports
- 10: Air navigation- ATM
- 11: Air navigation- CNS
- 12: 6-DOF Equations of Motion
- 13: Hands-on Laboratories
- Back Matter
- Aerodynamics and Aircraft Performance 3e (Marchman)
- Biological Engineering
- Bio-Inspired Sensory Systems (Brooks)
- Alternative Fuels from Biomass Sources (Toraman)
- Front Matter
- 1: Why Alternative Fuels from Biomass?
- 2: Existing Fossil Fuel Technologies for Transportation
- 3: Electricity Generation 101
- 4: Use of Biomass in Thermal Technologies
- 5: Biomass Pyrolysis and Pretreatment
- 6: General Ethanol Production
- 7: Processing to Produce Ethanol and Butanol from Carbohydrates and Enzymes
- 8: Thermochemical Methods to Produce Biofuels
- 8.1: Review of Refinery Processing and Chemical Structures for Jet Fuel and Diesel Fuel
- 8.2: Direction Liquefaction of Biomass
- 8.3: Bioprocessing to Make Jet Fuel
- 8.4: Natural Gas and Synthetic Natural Gas as Feedstocks for Liquid Fuels
- 8.5: Fischer-Tropsch Process to Generate Liquid Fuels
- 8.6: Assignments
- 8.7: Summary and Final Tasks
- 9: Biodiesel Production
- 10: Algae as a Source for Fuels
- 11: Economics of Biomass Production – Ethanol, Butanol, and Biodiesel
- 12: Additional Processes for Fuels from Biomass
- Back Matter
- Introduction to Biosystems Engineering (Holden et al.)
- Food and the Future Environment (Karsten and Vanek)
- Front Matter
- 1: Introduction
- 1: Introduction
- 1.1: The Future of Food- Course Overview
- 1.1.1: 1 Food, Society, and the Environment- Coupled Human-Natural Systems
- 1.1.2: 2 Guided Introductory Reading- Why Environment and Food?
- 1.1.3: 3 Drastic Impacts of Food Production on Planet Earth- The Anthropocene
- 1.1.4: 4 Sustainability- Environments, Communities, and Economics
- 1.1.5: 5 Increasing Interest in Food Systems and Sustainability
- 1.1.6: Formative Assessment- Environment and Food Issues
- 1.2: Food Systems Combine Natural and Human Systems
- 1.2.1: 1 The Systems Concept
- 1.2.2: 2 Complex Systems Behavior- An Example from India
- 1.2.3: 3 Food Systems as Human-Natural Systems
- 1.2.4: Summative Assessment- Concept Mapping and Assessment of Food Systems
- 1.2.4.1: 1. Pennsylvania Dairy Sector- National to Global Scale - Option 1
- 1.2.4.2: 2. Colorado Feedlot Beef Production- National to Global - Option 2
- 1.2.4.3: 3. Asparagus Production in Peru- National to Global - Option 3
- 1.2.4.4: 4. New York City Green Markets- Local to Regional - Option 1
- 1.2.4.5: 5. Diversified Smallholder Production in the Peruvian Andes- Local to Regional - Option 2
- 1.3: Summary and Final Tasks
- 1.1: The Future of Food- Course Overview
- 2: Capstone Project Overview
- 3: Geographic and Historical Context
- 3.1: Origin of Farming as Coevolution and Coupled Human-Nature Interactions
- 3.1.1: 1 Early Hunter-Gatherer Modifications of Environment for Food
- 3.1.2: 2 The Nature and Timing of Agricultural Domestication- Global Patterns
- 3.1.3: 3 Geographical Sites and Ecological Components of Agricultural Domestication
- 3.1.4: 4 Explaining Domestication using Coupled Human-Natural Systems (CHNS)
- 3.2: Historical Development and Change in Food Systems
- 3.2.1: 1 From the Origins of Agriculture to Challenges and Opportunities for the Future of Food
- 3.2.2: 2 Period 1- Domestication, Early Farming, and Widespread Impacts (10,000 BP - 4,000 BP)
- 3.2.3: 3 Period 2- Independent States, World Trade, and Global Colonial Empires (3,000 BP - 1800/1900 CE)
- 3.2.4: 4 Period 3- Modern Industrial Agriculture (1800/1900 CE - Present)
- 3.2.5: 5 Period 4- Sustainability Movements Towards the Future of Food- Quasi-Parallel Ecological Modernization and Alternative Food Networks (2000-Present)
- 3.2.6: Summative Assessment- Drivers and Feedbacks in the Development of Food Systems
- 3.3: Summary and Final Tasks
- 3.1: Origin of Farming as Coevolution and Coupled Human-Nature Interactions
- 4: Diet and Nutrition
- 4.1: Diet and Nutrition Basics for Global Food Systems
- 4.1.1: 1 Energy Sources in Foods- Carbohydrates, Fat, and Protein
- 4.1.2: 2 Protein and Amino Acids- Building Blocks
- 4.1.3: 3 Vitamins and Minerals- Growth, Illness Prevention, and Proper Function
- 4.1.4: 4 High-Quality Fats and Shifting Paradigms Around Fat in Diets
- 4.1.5: 5 Dietary Fiber and Microbes in the Human Gut
- 4.1.6: Formative Assessment- Using a Diet Assessment Tool
- 4.2: Food System Issues for Nutrition
- 4.2.1: 1 Malnutrition (Undernutrition) Among Poor and Vulnerable Populations
- 4.2.2: 2 "Diseases of Affluence"- Not Just for the Affluent
- 4.2.3: 3 Human System Factors in Nutrition- Challenges in the Globalized Food System
- 4.2.4: 4 Local and Alternative/Organic Foods and Food System Challenges
- 4.2.5: 5 The "Happy Medium" in Nutrition and Diets
- 4.3: Summary and Final Tasks
- 4.4: Summative Assessment- Food Access and Food Deserts
- 4.1: Diet and Nutrition Basics for Global Food Systems
- 1: Introduction
- 2: Environmental Dynamics and Drivers
- 5: Food and Water
- 6: Soils as a Key Resource for Food Systems
- 6.1: Soil Basics
- 6.2: Soil Nitrogen and Phosphorus- Human Management of Key Nutrients
- 6.2.1: What is Nutrient Cycling?
- 6.2.2: Soil Depletion and Regeneration- Human Management of Nutrients in Soils
- 6.2.3: Depletion and Regeneration of Soil Organic Matter
- 6.2.4: The Nitrogen Cycle and Human Management of Soils
- 6.2.5: The Phosphorus Cycle and Human Management of Soils
- 6.2.6: Soil Nutrients- Human Systems Aspects
- 6.3: Summary and Final Tasks
- 6.4: Summative Assessment- N and P Balances
- 7: Crops
- 8: Capstone Project Stage 2 Assignment
- 3: Systems Approaches to Managing our Food Systems
- 9: Soils and a Systems Approach to Soil Quality
- 10: Pests and Integrated Pest Management
- 10.1: Insects and Integrated Pest Management
- 10.2: Weeds, Transgenic Crops for Pest Management, and Pathogens
- 10.2.1: 1 Weeds
- 10.2.2: 2 Weed Survival Characteristics
- 10.2.3: 3 Herbicide Resistance
- 10.2.4: 4 Transgenic Crops for Pest Control
- 10.2.5: 5 Insect Resistant Bt Crops
- 10.2.6: 6 Herbicide Resistant Crops
- 10.2.7: 7 Plant Pathogens
- 10.2.8: Summative Assessment- Herbicide Resistant Weed Interpretation and Management of Multiple Pest Types
- 10.3: Summary and Final Tasks
- 11: Food and Climate Change
- 12: Capstone Project Stage 3 Assignment
- 4: Food Systems and Sustainability
- 13: Food Systems
- 13.1: Food Systems
- 13.1.1: Introductory Video on Food Systems
- 13.1.2: Food Systems- Environments, Production, Distribution, and Household Utilization of Food
- 13.1.3: Spatial Scale and Typologies of Food Systems
- 13.1.4: The Globalized Corporate Food System
- 13.1.5: Smallholder Farmer Food Systems
- 13.1.6: Alternative Food Systems- Global and Local Variants
- 13.1.7: Challenges to Producers- Sustainability and "Poverty Traps"
- 13.1.8: Challenges to Producers- Sustainability and "Agriculture of the Middle" in Globalized Food System
- 13.1.9: Food Systems as Coupled Natural-Human Systems
- 13.1.10: Divergence and Transition of Food Systems- Human-Natural Interactions
- 13.2: Assessing Food System Impacts on Natural Systems and Sustainability
- 13.2.1: Earth System Impacts and Energy Use by the Food System
- 13.2.2: Life Cycle Assessment (LCA)- Measuring the Impacts of Systems in Multi-part Processes
- 13.2.3: Using LCAs, Part One- Comparing Costs and Impacts
- 13.2.4: Using LCAs, Part Two- Assessing Hot Spots
- 13.2.5: Summative Assessment- Life Cycle Assessment (LCA) of Energy Use in Potato Production in Smallholder Andean and North American Production Systems
- 13.3: Summary and Final Tasks
- 13.1: Food Systems
- 14: Human-Environment Interactions
- 14.1: Resilience, Adaptive Capacity, and Vulnerability (RACV)- Agrobiodiversity and Seed Systems
- 14.2: Food Access and Food Insecurity
- 14.2.1: Introduction to Food Access, Food Security, and Food-Insecure Conditions
- 14.2.2: Global Overview of Food Insecurity- Food Deficit Map and Required Readings
- 14.2.3: Food Shortages, Chronic Malnutrition, and Famine- Coupled Human-Natural Systems Aspects
- 14.2.4: Summative Assessment- Anatomy of a Somali Famine (2010-2012)
- 14.3: Summary and Final Tasks
- 15: Capstone Project Stage 4 Assignment
- 16: Capstone Project Stage 5
- 13: Food Systems
- Back Matter
- Chemical Engineering
- Supplemental Modules (Chemical Engineering)
- Phase Relations in Reservoir Engineering (Adewumi)
- Front Matter
- 1: Introduction and Purpose
- 2: Phase Diagrams I
- 3: Phase Diagrams II
- 4: Phase Diagrams III
- 5: Phase Diagrams IV
- 6: PT Behavior and Equations of State (EOS) I
- 7: PT Behavior and Equations of State (EOS) II
- 8: PT Behavior and Equations of State III
- 9: Cubic EOS and Their Behavior I
- 10: Cubic EOS and Their Behavior II
- 11: Cubic EOS and Their Behavior III
- 12: Elementary Vapor-Liquid Equilibrium I
- 13: Elementary Vapor-Liquid Equilibrium II
- 14: Thermodynamic Tools I
- 15: Thermodynamic Tools II
- 16: Thermodynamic Tools III
- 17: Vapor-Liquid Equilibrium via EOS
- 18: Properties of Natural Gas and Condensates I
- 19: Properties of Natural Gas and Condensates II
- 20: Engineering Applications I
- 21: Engineering Applications II
- Back Matter
- Distillation Science (Coleman)
- Chemical Engineering Separations: A Handbook for Students (Lamm and Jarboe)
- Foundations of Chemical and Biological Engineering I (Verret, Qiao, Barghout)
- Front Matter
- 1: Introduction to Chemical Processes and Process Diagrams
- 1.1: Project Scoping
- 1.2: Basic Economic Analysis
- 1.3: Introduction to Flowsheeting
- 1.4: Input-Output Diagrams
- 1.5: Block Flow Diagrams
- 1.6: Unit Operations and Material Balances
- 1.7: Process Flow Diagrams (PFDs)
- 1.8: Piping and Instrumentation Diagrams (PandIDs)
- 1.9: Introduction to Chemical Processes and Process Diagrams Review
- 1.10: Practice Exercises
- 2: Reaction Chemistry
- 2.1: Definitions of Reaction Rate and Extent of Reactions
- 2.2: Reaction Rate Law
- 2.3: Reaction Order
- 2.4: Integrated Rate Laws
- 2.5: Equilibrium Reactions
- 2.6: Arrhenius Equation
- 2.7: Reaction Mechanisms - Elementary Reactions
- 2.8: Steady-State Approximation
- 2.9: Kinetic and Thermodynamic Control
- 2.10: Reaction Chemistry Chapter Review
- 2.11: Practice Exercises
- 3: Phase Equilibrium
- 3.1: Pressure Definition; Absolute and Gauge Pressure
- 3.2: Temperature
- 3.3: Intensive and Extensive Variables
- 3.4: Phase Diagram
- 3.5: Gibb's Phase Rule
- 3.6: Ideal Gas Properties
- 3.7: Estimating Vapour Pressure
- 3.8: Multicomponent Equilibrium
- 3.9: Txy Diagram
- 3.10: Pxy Diagram
- 3.11: Phase Equilibrium Chapter Review
- 3.12: Practice Exercises
- 4: Energy Balances
- 5: Unsteady-state Operations and Process Control
- 6: Process Economics
- 7: Green Engineering
- 8: Process Safety
- 9: Appendices
- 9.1: Appendix- Excel Solver Guide
- 9.2: Appendix- Excel Iteration Guide
- 9.3: Appendix- Finding Chemical Pricing Data
- 9.4: Appendix- Finding Chemical Property Data on NIST
- 9.5: Appendix- Finding Chemical Properties Using EPI Suite
- 9.6: Appendix- Resources for Building PFDs and PandIDs
- 9.7: Appendix- Scholarly Societies Relevant to CHBE/CHML Students
- Back Matter
- Civil Engineering
- Structural Analysis (Udoeyo)
- Front Matter
- Chapters
- Front Matter
- 1.1: Introduction to Structural Analysis
- 1.2: Structural Loads and Loading System
- 1.3: Equilibrium Structures, Support Reactions, Determinacy and Stability of Beams and Frames
- 1.4: Internal Forces in Beams and Frames
- 1.5: Internal Forces in Plane Trusses
- 1.6: Arches and Cables
- 1.7: Deflection of Beams- Geometric Methods
- 1.8: Deflections of Structures- Work-Energy Methods
- 1.9: Influence Lines for Statically Determinate Structures
- 1.10: Force Method of Analysis of Indeterminate Structures
- 1.11: Slope-Deflection Method of Analysis of Indeterminate Structures
- 1.12: Moment Distribution Method of Analysis of Structures
- 1.13: Influence Lines for Statically Indeterminate Structures
- Back Matter
- Back Matter
- Book: Building Information - Representation and Management - Fundamentals and Principles (Koutamanis)
- Fundamentals of Transportation
- Book: Introduction to Design Equity (Miller)
- Front Matter
- Chapters
- Front Matter
- 1.1: Introduction
- 1.2: Learning to Talk about Racism
- 1.3: Why History Matters to Design Equity
- 1.4: Health Equity and the Built Environment
- 1.5: Transportation Equity
- 1.6: Information Equity
- 1.7: What is Design Thinking and What does it have to do with Equity?
- 1.8: Discipline-Specific Professional Design Processes and Equity
- Back Matter
- Back Matter
- Book: The Delft Sand, Clay and Rock Cutting Model (Miedema)
- Front Matter
- 1: Introduction
- 2: Basic Soil Mechanics
- 3: The General Cutting Process
- 4: Which Cutting Mechanism for Which Kind of Soil?
- 5: Dry Sand Cutting
- 6: Saturated Sand Cutting
- 6.1: Introduction
- 6.2: Definitions
- 6.3: Cutting Theory Literature
- 6.4: The Equilibrium of Forces
- 6.5: Determination of the Pore Pressures
- 6.6: Numerical Water Pore Pressure Calculations
- 6.7: The Blade Tip Problem
- 6.8: Analytical and Numerical Water Pore Pressure Calculations
- 6.9: Determination of the Shear Angle β
- 6.10: The Coefficients a1 and a2
- 6.11: Determination of the Coefficients c1, c2, d1 and d2
- 6.12: Specific Cutting Energy
- 6.13: Experiments
- 6.14: General Conclusions
- 6.15: The Snow Plough Effect
- 6.16: Nomenclature
- 7: Clay Cutting
- 8: Rock Cutting- Atmospheric Conditions
- 8.1: Introduction
- 8.2: Cutting Process and Failure Criteria
- 8.3: Cutting Models
- 8.4: The Flow Type (Based on the Merchant Model)
- 8.5: Determining the Angle β
- 8.6: The Shear Type, Tear Type and the Chip Type
- 8.7: Correction on the Tear Type and the Chip Type
- 8.8: Specific Energy
- 8.9: Resulting Forces and Mohr Circles
- 8.10: Example
- 8.11: Nomenclature
- 9: Rock Cutting- Hyperbaric Conditions
- 10: The Occurrence of a Wedge
- 11: A Wedge in Dry Sand Cutting
- 12: A Wedge in Saturated Sand Cutting
- 13: A Wedge in Clay Cutting
- 14: A Wedge in Atmospheric Rock Cutting
- 15: A Wedge in Hyperbaric Rock Cutting
- 16: Exercises
- 16.1: Introduction
- 16.2: Chapter2- Basic Soil Mechanics
- 16.3: Chapter 3- The General Cutting Process
- 16.4: Chapter 4- Which Cutting Mechanism for Which Kind of Soil
- 16.5: Chapter 5- Dry Sand Cutting
- 16.6: Chapter 6- Water Saturated Sand Cutting
- 16.7: Chapter 7- Clay Cutting
- 16.8: Chapter 8- Atmospheric Rock Cutting
- 16.9: Chapter 9- Hyperbaric Rock Cutting
- 17: Appendices
- 17.1: Appendix A- Active and Passive Soil Failure Coefficients
- 17.2: Appendix B- Dry Sand Cutting Coefficients
- 17.3: Appendix C- Dimensionless Pore Pressures p1m and p2m
- 17.4: Appendix D- The Shear Angle β Non-Cavitating
- 17.5: Appendix E- The Coefficient c1
- 17.6: Appendix F- The Coefficient c2
- 17.7: Appendix G- The Coefficient a1
- 17.8: Appendix H- The Shear Angle β Cavitating
- 17.9: Appendix I- The Coefficient d1
- 17.10: Appendix J- The Coefficient d2
- 17.11: Appendix K- The Properties of the 200 μm Sand
- 17.12: Appendix L- The Properties of the 105 μm Sand
- 17.13: Appendix M- Experiments in Water Saturated Sand
- 17.14: Appendix N- The Snow Plough Effect
- 17.15: Appendix O- Specific Energy in Sand
- 17.16: Appendix P- Occurrence of a Wedge, Non-Cavitating
- 17.17: Appendix Q- Occurrence of a Wedge, Cavitating
- 17.18: Appendix R- Pore Pressures with Wedge
- 17.19: Appendix S- FEM Calculations with Wedge
- 17.20: Appendix T- Force Triangles
- 17.21: Appendix U- Specific Energy in Clay
- 17.22: Appendix V- Clay Cutting Charts
- 17.23: Appendix W- Rock Cutting Charts
- 17.24: Appendix X- Hyperbaric Rock Cutting Charts
- 17.25: Appendix Y- Applications and Equipment
- 17.26: Appendix Z- Publications
- Back Matter
- Book: All Things Flow - Fluid Mechanics for the Natural Sciences (Smyth)
- Front Matter
- 1: Introduction
- 2: Review of Elementary Linear Algebra
- 3: Cartesian Vectors and Tensors
- 4: Tensor Calculus
- 5: Fluid Kinematics
- 6: Fluid Dynamics
- 6.1: The Leibniz rule
- 6.2: Mass conservation
- 6.3: Momentum conservation
- 6.4: Energy conservation in a Newtonian fluid
- 6.5: The temperature (heat) equation
- 6.6: Equations of state
- 6.7: The advection-diffusion equation for a scalar concentration
- 6.8: Summary: the equations of motion
- 6.9: Boundary conditions
- 6.10: Solution methods
- 7: Vortices
- 8: Waves
- 9: Nonlinear, Hydrostatic Flow Over Topography
- 10: Postface
- 11: Exercises
- 12: Appendix A- Taylor Series Expansions
- 13: Appendix B- Torque and the Moment of Inertia
- 14: Appendix C- Isotropic Tensors
- 15: Appendix D- The Leva-Cevita Alternating Tensor
- 16: Appendix E- Vector Identities
- 17: Appendix F- The Cauchy Stress Tensor
- 18: Appendix G- Boussinesq Approximation
- 19: Appendix H- Bernoulli's Equation
- 20: Appendix I- Vector Operations in Curvilinear Coordinates
- 21: Appendix J- The Stokes Drift
- Back Matter
- Book: Fluid Mechanics (Bar-Meir)
- Front Matter
- 1: Introduction to Fluids
- 2: Review of Thermodynamics
- 3: Review of Mechanics
- 4: Fluids Statics
- 4.1: Introduction
- 4.2: The Hydrostatic Equation
- 4.3: Pressure and Density in a Gravitational Field
- 4.4: Fluid in an Accelerated System
- 4.5: Fluid Forces on Surfaces
- 4.6: Buoyancy and Stability
- 4.7: Rayleigh–Taylor Instability
- 4.8: Qualitative questions
- 5: The Control Volume and Mass Conservation
- 6: Momentum Conservation for Control Volume
- 7: Energy Conservation
- 7.1: The First Law of Thermodynamics
- 7.2: Limitation of Integral Approach
- 7.3 Approximation of Energy Equation
- 7.4: Energy Equation in Accelerated System
- 7.5: Examples of Integral Energy Conservation
- 7.6: Qualitative Questions
- 8: Differential Analysis
- 9: Dimensional Analysis
- 10: Inviscid Flow or Potential Flow
- 11: Compressible Flow One Dimensional
- 11.1 What is Compressible Flow?
- 11.2 Why Compressible Flow is Important?
- 11.3 Speed of Sound
- 11.4 Isentropic Flow
- 11.5 Normal Shock
- 11.6 Qualitative questions
- 11.7 Isothermal Flow
- 11.7: Fanno Flow
- 11.8: The Table for Fanno Flow
- 11.9: Rayleigh Flow
- 12: Compressible Flow 2–Dimensional
- 12.1: Introduction
- 12.2: Oblique Shock
- 12.2.1: Solution of Mach Angle
- 12.2.2: When No Oblique Shock Exist or the case of \(D>0\)
- 12.2.2.1: Large deflection angle for given, \(M_1\)
- 12.2.2.2: The case of \(D\geq 0\) or \(0 \geq\delta\)
- 12.2.2.3: Upstream Mach Number, \(M_1\), and Shock Angle, \(\theta\)
- 12.2.2.4: Given Two Angles, \(\delta\) and \(\theta\)
- 12.2.2.5: Flow in a Semi–2D Shape
- 12.2.2.6: Close and Far Views of the Oblique Shock
- 12.2.2.7: Maximum Value of Oblique shock
- 12.2.2.8: Oblique Shock Examples
- 12.2.3: Application of Oblique Shock
- 12.3: Prandtl-Meyer Function
- 12.4: The Maximum Turning Angle
- 12.5: The Working Equations for the Prandtl-Meyer Function
- 12.6: d'Alembert's Paradox
- 12.7: Flat Body with an Angle of Attack
- 12.8: Examples For Prandtl–Meyer Function
- 12.9: Combination of the Oblique Shock and Isentropic Expansion
- 13: Multi–Phase Flow
- Back Matter
- Intermediate Fluid Mechanics (Liburdy)
- Book: Slurry Transport (Miedema)
- Front Matter
- 1: Introduction
- 2: Dimensionless Numbers and Other Parameters
- 3: Pressure Losses with Homogeneous Liquid Flow
- 3.1: Pipe Wall Shear Stress
- 3.2: The Darcy-Weisbach Friction Factor
- 3.3: The Equivalent Liquid Model
- 3.4: Approximation of the Darcy-Weisbach Friction Factor
- 3.5: The Friction Velocity or Shear Velocity u*
- 3.6: The Thickness of the Viscous Sub Layer δv
- 3.7: The Smallest Eddies
- 3.8: The Relative or Apparent Viscosity
- 3.9: Nomenclature
- 4: The Terminal Settling Velocity of Particles
- 5: Initiation of Motion and Sediment Transport
- 6: Slurry Transport, a Historical Overview
- 6.1: Introduction
- 6.2: Early History
- 6.3: Empirical and Semi-Empirical Models
- 6.4: The Durand and Condolios (1952) School
- 6.5: The Newitt et al. (1955) Model
- 6.6: Silin, Kobernik and Asaulenko (1958) and (1962)
- 6.7: Graf et al. (1970) and Robinson (1971)
- 6.8: Yagi et al. (1972)
- 6.9: A.D. Thomas (1976) and (1979)
- 6.10: The Turian and Yuan (1977) Fit Model
- 6.11: Kazanskij (1978) and (1980)
- 6.12: The IHC-MTI (1998) Model for the Limit Deposit Velocity
- 6.13: Conclusions and Discussion Empirical and Semi-Empirical Models
- 6.14: Nomenclature Early History and Empirical and Semi-Empirical Models
- 6.15: Physical Models
- 6.16: The Wasp et al. (1963) Model
- 6.17: The Wilson-GIW (1979) Models
- 6.18: The Fuhrboter (1961) Model
- 6.19: The Jufin and Lopatin (1966) Model
- 6.20: Charles (1970) and Babcock (1970)
- 6.21: The Doron et al. (1987) and Doron and Barnea (1993) Model
- 6.22: The SRC Model
- 6.23: The Kaushal and Tomita (2002B) Model
- 6.24: The Matousek (2010), (2011) Model
- 6.25: Talmon (2011) and (2013) Homogeneous Regime
- 6.26: Conclusions and Discussion Physical Models
- 6.27: The Limit Deposit Velocity (LDV)
- 6.28: Inclined Pipes
- 6.29: Starting Points DHLLDV Framework
- 7: The Delft Head Loss and Limit Deposit Velocity Framework
- 7.1: Introduction
- 7.2: Flow Regimes and Scenario’s
- 7.3: A Head Loss Model for Fixed Bed Slurry Transport
- 7.4: A Head Loss Model for Sliding Bed Slurry Transport
- 7.5: A Head Loss Model for Heterogeneous Slurry Transport
- 7.6: A Head Loss Model for Homogeneous Slurry Transport
- 7.7: The Sliding Flow Regime
- 7.8: The Limit Deposit Velocity
- 7.9: The Slip Velocity
- 7.10: The Concentration Distribution
- 7.11: The Transition Heterogeneous vs. Homogeneous in Detail
- 7.12: The Bed Height
- 7.13: Influence of the Particle Size Distribution
- 7.14: Inclined Pipes
- 8: Usage of the DHLLDV Framework
- 8.1: Introduction
- 8.2: Default Equations Used In This Book
- 8.3: The Influence of Fines
- 8.4: The Fixed or Stationary Bed Regime
- 8.5: The Sliding Bed Regime
- 8.6: The Heterogeneous Transport Regime
- 8.7: The Homogeneous Transport Regime
- 8.8: The Transition Heterogeneous Regime - Homogeneous Regime
- 8.9: The Sliding Flow Regime
- 8.10: The Resulting Erhg Constant Spatial Volumetric Concentration Curve
- 8.11: Determining the Limit Deposit Velocity
- 8.12: Constructing the Transport Concentration Curves
- 8.13: The Bed Height
- 8.14: The Concentration Distribution
- 8.15: Graded Sands and Gravels
- 8.16: Inclined Pipes
- 8.17: Conclusions and Discussion
- 8.18: Nomenclature DHLLDV Framework
- 9: Comparison of the DHLLDV Framework with Other Models
- 10: Application of the Theory on a Cutter Suction Dredge
- 10.1: Head Loss Equation
- 10.2: The Limit Deposit Velocity
- 10.3: The Resulting Head Loss versus Mixture Flow Graph
- 10.4: The Relative Excess Hydraulic Gradient of Pump and Pipeline
- 10.5: A Segmented Pipeline System
- 10.6: Conclusions and Discussion
- 10.7: Nomenclature Application of the Theory on a Cutter Suction Dredge
- 11: Appendices
- Back Matter
- Structural Analysis (Udoeyo)
- Computer Science
- Programming and Computation Fundamentals
- Introduction to Computer Science (OpenStax)
- Front Matter
- 1: Introduction to Computer Science
- 2: Computational Thinking and Design Reusability
- 3: Data Structures and Algorithms
- 4: Linguistic Realization of Algorithms- Low-Level Programming Languages
- 5: Hardware Realizations of Algorithms- Computer Systems Design
- 6: Infrastructure Abstraction Layer- Operating Systems
- 7: High-Level Programming Languages
- 8: Data Management
- 8.0: Introduction
- 8.1: Data Management Focus
- 8.2: Data Management Systems
- 8.3: Relational Database Management Systems
- 8.4: Nonrelational Database Management Systems
- 8.5: Data Warehousing, Data Lakes, and Business Intelligence
- 8.6: Data Management for Shallow and Deep Learning Applications
- 8.7: Informatics and Data Management
- 8.8: Chapter Review
- 9: Software Engineering
- 10: Enterprise and Solution Architectures Management
- 11: Web Applications Development
- 11.0: Introduction
- 11.1: Modern Web Applications Architectures
- 11.2: Sample Responsive WAD with Bootstrap and Django
- 11.3: Sample Responsive WAD with Bootstrap/React and Node
- 11.4: Sample Responsive WAD with Bootstrap/React and Django
- 11.5: Sample Native WAD with React Native and Node or Django
- 11.6: Sample Ethereum Blockchain Web 2.0/Web 3.0 Application
- 11.7: Chapter Review
- 12: Cloud-Native Applications Development
- 13: Hybrid Multicloud Digital Solutions Development
- 14: Cyber Resources Qualities and Cyber Computing Governance
- 15: Appendix
- Back Matter
- Foundations of Computation (Critchlow and Eck)
- Delftse Foundations of Computation
- Front Matter
- 1: Logic
- 2: Proof
- 3: Sets, Functions, and Relations
- 4: Looking Beyond
- Back Matter
- Programming Fundamentals (Busbee and Braunschweig)
- Front Matter
- 1: Introduction to Programming
- 1.1: Systems Development Life Cycle
- 1.2: Program Design
- 1.3: Program Quality
- 1.4: Pseudocode
- 1.5: Flowcharts
- 1.6: Software Testing
- 1.7: Integrated Development Environment
- 1.8: Version Control
- 1.9: Input and Output
- 1.10: Hello World
- 1.11: C++ Examples
- 1.12: C# Examples
- 1.13: Java Examples
- 1.14: JavaScript Examples
- 1.15: Python Examples
- 1.16: Swift Examples
- 1.17: Practice- Introduction to Programming
- 2: Data and Operators
- 2.1: Constants and Variables
- 2.2: JavaScript Examples
- 2.3: Python Examples
- 2.4: Swift Examples
- 2.5: Practice- Data and Operators
- 2.6: Identifier Names
- 2.7: Data Types
- 2.8: Integer Data Type
- 2.9: Floating-Point Data Type
- 2.10: String Data Type
- 2.11: Boolean Data Type
- 2.12: Nothing Data Type
- 2.13: Order of Operations
- 2.14: Assignment
- 2.15: Arithmetic Operators
- 2.16: Integer Division and Modulus
- 2.17: Unary Operations
- 2.18: Lvalue and Rvalue
- 2.19: Data Type Conversions
- 2.20: Input-Process-Output Model
- 2.21: C++ Examples
- 2.22: C# Examples
- 2.23: Java Examples
- 3: Functions
- 3.1: Modular Programming
- 3.2: Hierarchy or Structure Chart
- 3.3: Function Examples
- 3.4: Parameters and Arguments
- 3.5: Call by Value vs. Call by Reference
- 3.6: Return Statement
- 3.7: Void Data Type
- 3.8: Scope
- 3.9: Programming Style
- 3.10: Standard Libraries
- 3.11: C++ Examples
- 3.12: C# Examples
- 3.13: Java Examples
- 3.14: JavaScript Examples
- 3.15: Python Examples
- 3.16: Swift Examples
- 3.17: Practice- Functions
- 4: Conditions
- 4.1: Structured Programming
- 4.2: Selection Control Structures
- 4.3: If Then Else
- 4.4: Code Blocks
- 4.5: Relational Operators
- 4.6: Assignment vs Equality
- 4.7: Logical Operators
- 4.8: Nested If Then Else
- 4.9: Case Control Structure
- 4.10: Condition Examples
- 4.11: C++ Examples
- 4.12: C# Examples
- 4.13: Java Examples
- 4.14: JavaScript Examples
- 4.15: Python Examples
- 4.16: Swift Examples
- 4.17: Practice- Conditions
- 5: Loops
- 5.1: Iteration Control Structures
- 5.2: While Loop
- 5.3: Do While Loop
- 5.4: Flag Concept
- 5.5: For Loop
- 5.6: Branching Statements
- 5.7: Increment and Decrement Operators
- 5.8: Integer Overflow
- 5.9: Nested For Loops
- 5.10: Loop Examples
- 5.11: C++ Examples
- 5.12: C# Examples
- 5.13: Java Examples
- 5.14: JavaScript Examples
- 5.15: Python Examples
- 5.16: Swift Examples
- 5.17: Practice- Loops
- 6: Arrays and Lists
- 6.1: Arrays and Lists
- 6.2: Index Notation
- 6.3: Displaying Array Members
- 6.4: Arrays and Functions
- 6.5: Math Statistics with Arrays
- 6.6: Searching Arrays
- 6.7: Sorting Arrays
- 6.8: Parallel Arrays
- 6.9: Multidimensional Arrays
- 6.10: Dynamic Arrays
- 6.11: C++ Examples
- 6.12: C# Examples
- 6.13: Java Examples
- 6.14: JavaScript Examples
- 6.15: Python Examples
- 6.16: Swift Examples
- 6.17: Practice- Arrays and Lists
- 7: Strings and Files
- 8: Object-Oriented Programming
- Back Matter
- Programming Fundamentals - A Modular Structured Approach using C++ (Busbee)
- Front Matter
- 00: Front Matter
- 1: Introduction, Preface and Syllabus
- 2: Introduction to Programming
- 3: Program Planning and Design
- 4: Data and Operators
- 5: Often Used Data Types
- 6: Integrated Development Environment
- 7: Program Control Functions
- 8: Specific Task Functions
- 9: Standard Libraries
- 10: Character Data, Sizeof, Typedef, Sequence
- 11: Introduction to Structured Programming
- 12: Two Way Selection
- 13: Multiway Selection
- 14: Test After Loops
- 15: Test Before Loops
- 16: Counting Loops
- 17: String Class, Unary Positive and Negative
- 18: Conditional Operator and Recursion
- 19: Introduction to Arrays
- 20: File I/O and Array Functions
- 21: More Array Functions
- 22: More on Typedef
- 23: Pointers
- 24: More Arrays and Compiler Directives
- 25: OOP and HPC
- 26: Review Materials
- 27: Appendix
- Back Matter
- Back Matter
- Structure and Interpretation of Computer Programs (Abelson, Sussman, and Sussman)
- Object-Oriented Reengineering Patterns (Demeyer, Ducasse, and Nierstrasz)
- Front Matter
- 1: Reengineering Patterns
- 2: Setting Direction
- 3: First Contact
- 4: Initial Understanding
- 5: Detailed Model Capture
- 6: Tests — Your Life Insurance!
- 7: Migration Strategies
- 7.1: Migration Strategies
- 7.2: Involve the Users
- 7.3: Build Confidence
- 7.4: Migrate Systems Incrementally
- 7.5: Prototype the Target Solution
- 7.6: Always Have a Running Version
- 7.7: Regression Test After Every Change
- 7.8: Make a Bridge to the New Town
- 7.9: Present the Right Interface
- 7.10: Distinguish Public from Published Interface
- 7.11: Deprecate Obsolete Interfaces
- 7.12: Conserve Familiarity
- 7.13: Use Profiler Before Optimizing
- 8: Detecting Duplicated Code
- 9: Redistribute Responsibilities
- 10: Transform Conditionals to Polymorphism
- 11: Appendix A – Thumbnail Patterns
- Back Matter
- Algorithm Design and Analysis (Justo)
- Mathematics for Computer Science (Lehman, Leighton, and Meyer)
- Front Matter
- 1: Proofs
- 2: Structures
- 8: Number Theory
- 8.1: Divisibility
- 8.2: The Greatest Common Divisor
- 8.3: Prime Mysteries
- 8.4: The Fundamental Theorem of Arithmetic
- 8.5: Alan Turing
- 8.6: Modular Arithmetic
- 8.7: Remainder Arithmetic
- 8.8: Turing’s Code (Version 2.0)
- 8.9: Multiplicative Inverses and Cancelling
- 8.10: Euler's Theorem
- 8.11: RSA Public Key Encryption
- 8.12: What has SAT got to do with it?
- 9: Directed graphs and Partial Orders
- 10: Communication Networks
- 11: Simple Graphs
- 12: Planar Graphs
- 8: Number Theory
- 3: Counting
- 4: Probability
- 5: Recurrences
- Back Matter
- Principles of Computer System Design (Saltzer and Kaashoek)
- Front Matter
- 1: The Network as a System and as a System Component
- 1.1: Overview
- 1.2: Interesting Properties of Networks
- 1.3: Getting Organized - Layers
- 1.4: The Link Layer
- 1.5: The Network Layer
- 1.6: The End-to-End Layer
- 1.7: A Network System Design Issue - Congestion Control
- 1.8: Wrapping Up Networks
- 1.9: Case Study - Mapping the Internet to the Ethernet
- 1.10: War Stories - Surprises in Protocol Design
- 1.11: Exercises
- 2: Fault Tolerance - Reliable Systems from Unreliable Components
- 2.1: Overview
- 2.2: Faults, Failures, and Fault-Tolerant Design
- 2.3: Measures of Reliability and Failure Tolerance
- 2.4: Tolerating Active Faults
- 2.5: Systematically Applying Redundancy
- 2.6: Applying Redundancy to Software and Data
- 2.7: Wrapping Up Reliability
- 2.8: Application - A Fault Tolerance Model for CMOS RAM
- 2.9: War Stories - Fault-Tolerant Systems That Failed
- 2.10: Exercises
- 3: Atomicity - All-or-nothing and Before-or-after
- 3.1: Overview
- 3.2: Atomicity
- 3.3: All-Or-Nothing Atomicity I - Concepts
- 3.4: All-Or-Nothing Atomicity II - Pragmatics
- 3.5: Before-Or-After Atomicity I - Concepts
- 3.6: Before-Or-After Atomicity II - Pragmatics
- 3.7: Atomicity Across Layers and Multiple Sites
- 3.8: A More Complete Model of Disk Failure (Advanced Topic)
- 3.9: Case Studies - Machine Language Atomicity
- 3.10: Exercises
- 4: Consistency
- 5: Information Security
- 5.1: Overview
- 5.2: Introduction to Secure Systems
- 5.3: Authenticating Principals
- 5.4: Authenticating Messages
- 5.5: Message Confidentiality
- 5.6: Security Protocols
- 5.7: Authorization-Controlled Sharing
- 5.8: Reasoning About Authentication (Advanced Topic)
- 5.9: Cryptography as a Building Block (Advanced Topic)
- 5.10: Summary
- 5.11: Case Study - Transport Layer Security (TLS) for the Web
- 5.12: War Stories - Security System Breaches
- 5.13: Exercises
- 6: Ancillary Materials
- Back Matter
- Computer Science from the Bottom Up (Wienand)
- High Performance Computing (Severance)
- An Introduction to Ontology Engineering (Keet)
- Front Matter
- 1: How to Use the Book
- 2: Introduction to Ontology Engineering
- 3: First Order Logic and Automated Reasoning in a Nutshell
- 4: Description Logics
- 5: The Web Ontology Language OWL 2
- 6: Methods and Methodologies
- 7: Top-Down Ontology Development
- 8: Bottom-up Ontology Development
- 9: Ontology-Based Data Access
- 10: Ontologies and Natural Languages
- 11: Advanced Modeling with Additional Language Features
- 12: Bibliography
- 13: Assignments
- Back Matter
- Introduction to Computer Science (OpenStax)
- Programming Languages
- Byte of Python (Swaroop CH)
- Front Matter
- Chapters
- Front Matter
- 1.1: About Python
- 1.2: Installation
- 1.3: First Steps
- 1.4: Basics
- 1.5: Operators and Expressions
- 1.6: Control flow
- 1.7: Functions
- 1.8: Modules
- 1.9: Data Structures
- 1.10: Problem Solving
- 1.11: Object Oriented Programming
- 1.12: Input and Output
- 1.13: Exceptions
- 1.14: Standard Library
- 1.15: More
- Back Matter
- Back Matter
- Python for Everybody (Severance)
- Front Matter
- 1: Introduction
- 1.1: Why should you learn to write programs?
- 1.2: Creativity and Motivation
- 1.3: Computer Hardware Architecture
- 1.4: Understanding Programming
- 1.5: Words and Sentences
- 1.6: Conversing with Python
- 1.7: Terminology - Interpreter and Compiler
- 1.8: Writing a Program
- 1.9: What is a program?
- 1.E: Introduction (Exercises)
- 1.G: Introduction (Glossary)
- 1.10: The Building Blocks of Programs
- 1.11: What could possibly go wrong?
- 1.12: The Learning Journey
- 2: Variables, Expressions, and Statements
- 2.1: Values and Types
- 2.2: Variables
- 2.3: Variable names and Keywords
- 2.4: Statements
- 2.5: Operators and Operands
- 2.6: Expressions
- 2.7: Order of Operations
- 2.8: Modulus Operator
- 2.9: String Operations
- 2.E: Variables, Expressions, and Statements (Exercises)
- 2.G: Glossary
- 2.10: Asking the user for input
- 2.11: Comments
- 2.12: Choosing Mnemonic Variable Names
- 2.13: Debugging
- 3: Conditional Execution
- 3.1: Boolean Expressions
- 3.2: Logical Operators
- 3.3: Conditional Execution
- 3.4: Alternative Execution
- 3.5: Chained Conditionals
- 3.6: Nested Conditionals
- 3.7: Catching exceptions Using Try and Except
- 3.8: Short-Circuit Evaluation of Logical Expressions
- 3.9: Debugging
- 3.E: Conditional Execution (Exercises)
- 3.G: Conditional Execution (Glossary)
- 4: Functions
- 4.1: Function Calls
- 4.2: Built-in Functions
- 4.3: Type Conversion Functions
- 4.4: Random Numbers
- 4.5: Math Functions
- 4.6: Adding New Functions
- 4.7: Definitions and Uses
- 4.8: Flow of Execution
- 4.9: Parameters and Arguments
- 4.E: Functions (Exercises)
- 4.G: Functions (Glossary)
- 4.10: Fruitful functions and void functions
- 4.11: Why functions?
- 4.12: Debugging
- 5: Iterations
- 5.1: Updating Variables
- 5.2: The while Statement
- 5.3: Infinite Loops
- 5.4: "Infinite loops" and break
- 5.5: Finishing iterations with continue
- 5.6: Definite loops using for
- 5.7: Loop patterns
- 5.8: Counting and Summing Loops
- 5.9: Maximum and Minimum Loops
- 5.E: Iterations (Exercises)
- 5.G: Iterations (Glossary)
- 5.10: Debugging
- 6: Strings
- 6.1: A string is a sequence
- 6.2: Getting the length of a string using len
- 6.3: Traversal through a string with a loop
- 6.4: String Slices
- 6.5: Strings are immutable
- 6.6: Looping and Counting
- 6.7: The in operator
- 6.8: String Comparison
- 6.9: String Methods
- 6.E: Strings (Exercises)
- 6.G: Strings (Glossary)
- 6.10: Parsing strings
- 6.11: Format operator
- 6.12: Debugging
- 7: Files
- 8: Lists
- 8.1: A list is a sequence
- 8.2: Lists are mutable
- 8.3: Traversing a List
- 8.4: List operations
- 8.5: List Slices
- 8.6: List Methods
- 8.7: Deleting Elements
- 8.8: Lists and Functions
- 8.9: Lists and Strings
- 8.E: Lists (Exercises)
- 8.G: Lists (Glossary)
- 8.10: Parsing lines
- 8.11: Objects and Values
- 8.12: Aliasing
- 8.13: List arguments
- 8.14: Debugging
- 9: Dictionaries
- 10: Tuples
- 10.1: Tuples are Immutable
- 10.2: Comparing Tuples
- 10.3: Tuple Assignment
- 10.4: Dictionaries and Tuples
- 10.5: Multiple assignment with dictionaries
- 10.6: The most common words
- 10.7: Using Tuples as Keys in Dictionaries
- 10.8: Sequences- strings, lists, and tuples - Oh My!
- 10.9: Debugging
- 10.E: Tuples (Exercises)
- 10.G: Tuples (Glossary)
- 11: Regular Expressions
- 11.1: Regular Expressions
- 11.2: Character matching in regular expressions
- 11.3: Extracting data using regular expressions
- 11.4: Combining searching and extracting
- 11.5: Escape Character
- 11.6: Bonus section for Unix / Linux users
- 11.7: Debugging
- 11.E: Regular Expressions (Exercises)
- 11.G: Regular Expressions (Glossary)
- 11.S: Regular Expressions (Summary)
- 12: Networked Programs
- 12.1: HyperText Transfer Protocol - HTTP
- 12.2: The World's Simplest Web Browser
- 12.3: Retrieving an image over HTTP
- 12.4: Retrieving web pages with urllib
- 12.5: Parsing HTML and scraping the web
- 12.6: Parsing HTML using regular expressions
- 12.7: Parsing HTML using BeautifulSoup
- 12.8: Reading binary files using urllib
- 12.E: Networked Programs (Exercises)
- 12.G: Networked Programs (Glossary)
- 13: Python and Web Services
- 13.1: eXtensible Markup Language - XML
- 13.2: Looping through Nodes
- 13.3: JavaScript Object Notation - JSON
- 13.4: Parsing JSON
- 13.5: Application Programming Interfaces
- 13.6: Google geocoding web service
- 13.7: Security and API usage
- 13.E: Python and Web Services (Exercises)
- 13.G: Python and Web Services (Glossary)
- 14: Object-Oriented Programming
- 14.1: Managing Larger Programs
- 14.2: Getting Started
- 14.3: Using Objects
- 14.4: Starting with Programs
- 14.5: Subdividing a Problem - Encapsulation
- 14.6: Our First Python Object
- 14.7: Classes as Types
- 14.8: Many Instances
- 14.9: Object Lifecycle
- 14.G: Object-Oriented Programming (Glossary)
- 14.S: Object-Oriented Programming (Summary)
- 14.10: Inheritance
- 15: Using Databases and SQL
- 15.1: What is a database?
- 15.2: Database Concepts
- 15.3: Database Browser for SQLite
- 15.4: Creating a database table
- 15.5: Structured Query Language summary
- 15.6: Spidering Twitter using a database
- 15.7: Basic data modeling
- 15.8: Programming with Multiple Tables
- 15.9: Constraints in Database Tables
- 15.G: Using Databases and SQL (Glossary)
- 15.S: Using Databases and SQL (Summary)
- 15.10: Retrieve and/or insert a record
- 15.11: Storing the friend relationship
- 15.12: Three Kinds of Keys
- 15.13: Using JOIN to retrieve data
- 15.14: Degugging
- 16: Visualizing data
- Back Matter
- Making Games with Python and Pygame (Sweigart)
- Front Matter
- 1: Introduction
- 2: Installing Python and Pygame
- Front Matter
- 2.1: What You Should Know Before You Begin
- 2.2: Downloading and Installing Python
- 2.3: Windows Instructions
- 2.4: Mac OS X Instructions
- 2.5: Ubuntu and Linux Instructions
- 2.6: Starting Python
- 2.7: Installing Pygame
- 2.8: How to Use This Book
- 2.9: The Featured Programs
- 2.10: Downloading Graphics and Sound Files
- 2.11: Line Numbers and Spaces
- 2.12: Text Wrapping in This Book
- 2.13: Checking Your Code Online
- 2.14: More Info Links on invpy.com
- Back Matter
- 3: Pygame Basics
- Front Matter
- 3.1: GUI vs. CLI
- 3.2: Source Code for Hello World with Pygame
- 3.3: Setting Up a Pygame Program
- 3.4: Game Loops and Game States
- 3.5: pygame.event.Event Objects
- 3.6: The QUIT Event and pygame.quit() Function
- 3.7: Pixel Coordinates
- 3.8: A Reminder About Functions, Methods, Constructor Functions, and Functions in Modules (and the Difference Between Them)
- 3.9: Surface Objects and The Window
- 3.10: Colors
- 3.11: Transparent Colors
- 3.12: pygame.Color Objects
- 3.13: Rect Objects
- 3.14: Primitive Drawing Functions
- 3.15: pygame.PixelArray Objects
- 3.16: The pygame.display.update() Function
- 3.17: Animation
- 3.18: Frames Per Second and pygame.time.Clock Objects
- 3.19: Drawing Images with pygame.image.load() and blit()
- 3.20: Fonts
- 3.21: Anti-Aliasing
- 3.22: Playing Sounds
- 3.23: Summary
- Back Matter
- 4: Memory Puzzle
- Front Matter
- 4.1: How to Play Memory Puzzle
- 4.2: Nested for Loops
- 4.3: Source Code of Memory Puzzle
- 4.4: Credits and Imports
- 4.5: Magic Numbers are Bad
- 4.6: Sanity Checks with assert Statements
- 4.7: Telling If a Number is Even or Odd
- 4.8: Crash Early and Crash Often!
- 4.9: Making the Source Code Look Pretty
- 4.10: Using Constant Variables Instead of Strings
- 4.11: Making Sure We Have Enough Icons
- 4.12: Tuples vs. Lists, Immutable vs. Mutable
- 4.13: One Item Tuples Need a Trailing Comma
- 4.14: Converting Between Lists and Tuples
- 4.15: The global Statement, and Why Global Variables are Evil
- 4.16: Data Structures and 2D Lists
- 4.17: The “Start Game” Animation
- 4.18: The Game Loop
- 4.19: The Event Handling Loop
- 4.20: Checking Which Box The Mouse Cursor is Over
- 4.21: Handling the First Clicked Box
- 4.22: Handling a Mismatched Pair of Icons
- 4.23: Handling If the Player Won
- 4.24: Drawing the Game State to the Screen
- 4.25: Creating the “Revealed Boxes” Data Structure
- 4.26: Creating the Board Data Structure- Step 1 – Get All Possible Icons
- 4.27: Step 2 – Shuffling and Truncating the List of All Icons
- 4.28: Step 3 – Placing the Icons on the Board
- 4.29: Splitting a List into a List of Lists
- 4.30: Different Coordinate Systems
- 4.31: Converting from Pixel Coordinates to Box Coordinates
- 4.32: Drawing the Icon, and Syntactic Sugar
- 4.33: Syntactic Sugar with Getting a Board Space’s Icon’s Shape and Color
- 4.34: Drawing the Box Cover
- 4.35: Handling the Revealing and Covering Animation
- 4.36: Drawing the Entire Board
- 4.37: Drawing the Highlight
- 4.38: The "Start Game" Animation
- 4.39: Revealing and Covering the Groups of Boxes
- 4.40: The “Game Won” Animation
- 4.41: Telling if the Player Has Won
- 4.42: Why Bother Having a main() Function?
- 4.43: Why Bother With Readability?
- 4.44: Summary, and a Hacking Suggestion
- Back Matter
- 5: Slide Puzzle
- Front Matter
- 5.1: How to Play Slide Puzzle
- 5.2: Source Code to Slide Puzzle
- 5.3: Second Verse, Same as the First
- 5.4: Setting Up the Buttons
- 5.5: Being Smart By Using Stupid Code
- 5.6: The Main Game Loop
- 5.7: Clicking on the Buttons
- 5.8: Sliding Tiles with the Mouse
- 5.9: Sliding Tiles with the Keyboard
- 5.10: “Equal To One Of” Trick with the in Operator
- 5.11: WASD and Arrow Keys
- 5.12: Actually Performing the Tile Slide
- 5.13: IDLE and Terminating Pygame Programs
- 5.14: Checking for a Specific Event, and Posting Events to Pygame’s Event Queue
- 5.15: Creating the Board Data Structure
- 5.16: Not Tracking the Blank Position
- 5.17: Making a Move by Updating the Board Data Structure
- 5.18: When NOT to Use an Assertion
- 5.19: Getting a Not-So-Random Move
- 5.20: Converting Tile Coordinates to Pixel Coordinates
- 5.21: Converting from Pixel Coordinates to Board Coordinates
- 5.22: Drawing a Tile
- 5.23: The Making Text Appear on the Screen
- 5.24: Drawing the Board
- 5.25: Drawing the Border of the Board
- 5.26: Drawing the Buttons
- 5.27: Animating the Tile Slides
- 5.28: The copy() Surface Method
- 5.29: Creating a New Puzzle
- 5.30: Animating the Board Reset
- 5.31: Time vs. Memory Tradeoffs
- 5.32: Nobody Cares About a Few Bytes
- 5.33: Nobody Cares About a Few Million Nanoseconds
- 5.34: Summary
- Back Matter
- 6: Simulate
- Front Matter
- 6.1: How to Play Simulate
- 6.2: Source Code to Simulate
- 6.3: The Usual Starting Stuff
- 6.4: Setting Up the Buttons
- 6.5: The main() Function
- 6.6: Some Local Variables Used in This Program
- 6.7: Drawing the Board and Handling Input
- 6.8: Checking for Mouse Clicks
- 6.9: Checking for Keyboard Presses
- 6.10: The Two States of the Game Loop
- 6.11: Figuring Out if the Player Pressed the Right Buttons
- 6.12: Epoch Time
- 6.13: Drawing the Board to the Screen
- 6.14: Same Old terminate() Function
- 6.15: Reusing The Constant Variables
- 6.16: Animating the Button Flash
- 6.17: Drawing the Buttons
- 6.18: Animating the Background Change
- 6.19: The Game Over Animation
- 6.20: Converting from Pixel Coordinates to Buttons
- 6.21: Explicit is Better Than Implicit
- Back Matter
- 7: Wormy
- Front Matter
- 7.1: How to Play Wormy
- 7.2: Source Code to Wormy
- 7.3: The Grid
- 7.4: The Setup Code
- 7.5: The main() Function
- 7.6: A Separate runGame() Function
- 7.7: The Event Handling Loop
- 7.8: Collision Detection
- 7.9: Detecting Collisions with the Apple
- 7.10: Moving the Worm
- 7.11: The insert() List Method
- 7.12: Drawing the Screen
- 7.13: Drawing “Press a key” Text to the Screen
- 7.14: The checkForKeyPress() Function
- 7.15: The Start Screen
- 7.16: Rotating the Start Screen Text
- 7.17: Rotations Are Not Perfect
- 7.18: Deciding Where the Apple Appears
- 7.19: Game Over Screens
- 7.20: Drawing Functions
- 7.21: Don’t Reuse Variable Names
- Back Matter
- 8: Tetromino
- Front Matter
- 8.1: How to Play Tetromino
- 8.2: Some Tetromino Nomenclature
- 8.3: Source Code to Tetromino
- 8.4: The Usual Setup Code
- 8.5: Setting up Timing Constants for Holding Down Keys
- 8.6: More Setup Code
- 8.7: Setting Up the Piece Templates
- 8.8: Splitting a “Line of Code” Across Multiple Lines
- 8.9: The main() Function
- 8.10: The Start of a New Game
- 8.11: The Game Loop
- 8.12: The Event Handling Loop
- 8.13: Pausing the Game
- 8.14: Using Movement Variables to Handle User Input
- 8.15: Checking if a Slide or Rotation is Valid
- 8.16: Finding the Bottom
- 8.17: Moving by Holding Down the Key
- 8.18: Letting the Piece “Naturally” Fall
- 8.19: Drawing Everything on the Screen
- 8.20: makeTextObjs(), A Shortcut Function for Making Text
- 8.21: The Same Old terminate() Function
- 8.22: Waiting for a Key Press Event with the checkForKeyPress() Function
- 8.23: showTextScreen(), A Generic Text Screen Function
- 8.24: The checkForQuit() Function
- 8.25: The calculateLevelAndFallFreq() Function
- 8.26: Generating Pieces with the getNewPiece() Function
- 8.27: Adding Pieces to the Board Data Structure
- 8.28: Creating a New Board Data Structure
- 8.29: The isOnBoard() and isValidPosition() Functions
- 8.30: Checking for, and Removing, Complete Lines
- 8.31: Convert from Board Coordinates to Pixel Coordinates
- 8.32: Drawing a Box on the Board or Elsewhere on the Screen
- 8.33: Drawing Everything to the Screen
- 8.34: Drawing the Score and Level Text
- 8.35: Drawing a Piece on the Board or Elsewhere on the Screen
- 8.36: Drawing the “Next” Piece
- 8.37: Summary
- Back Matter
- 9: Squirrel Eat Squirrel
- Front Matter
- 9.1: How to Play Squirrel Eat Squirrel
- 9.2: The Design of Squirrel Eat Squirrel
- 9.3: Source Code to Squirrel Eat Squirrel
- 9.4: The Usual Setup Code
- 9.5: Describing the Data Structures
- 9.6: The main() Function
- 9.7: The pygame.transform.flip() Function
- 9.8: A More Detailed Game State than Usual
- 9.9: The Usual Text Creation Code
- 9.10: Cameras
- 9.11: The “Active Area”
- 9.12: Keeping Track of the Location of Things in the Game World
- 9.13: Starting Off with Some Grass
- 9.14: The Game Loop
- 9.15: Checking to Disable Invulnerability
- 9.16: Moving the Enemy Squirrels
- 9.17: Removing the Far Away Grass and Squirrel Objects
- 9.18: When Deleting Items in a List, Iterate Over the List in Reverse
- 9.19: Adding New Grass and Squirrel Objects
- 9.20: Camera Slack, and Moving the Camera View
- 9.21: Drawing the Background, Grass, Squirrels, and Health Meter
- 9.22: The Event Handling Loop
- 9.23: Moving the Player, and Accounting for Bounce
- 9.24: Collision Detection- Eat or Be Eaten
- 9.25: The Game Over Screen
- 9.26: Winning
- 9.27: Drawing a Graphical Health Meter
- 9.28: The Same Old terminate() Function
- 9.29: The Mathematics of the Sine Function
- 9.30: Backwards Compatibility with Python Version 2
- 9.31: The getRandomVelocity() Function
- 9.32: Finding a Place to Add New Squirrels and Grass
- 9.33: Creating Enemy Squirrel Data Structures
- 9.34: Flipping the Squirrel Image
- 9.35: Creating Grass Data Structures
- 9.36: Checking if Outside the Active Area
- 9.37: Summary
- Back Matter
- 10: Star Pusher
- Front Matter
- 10.1: How to Play Star Pusher
- 10.2: Source Code to Star Pusher
- 10.3: The Initial Setup
- 10.4: Data Structures in Star Pusher
- 10.5: The “Game State” Data Structure
- 10.6: The “Map” Data Structure
- 10.7: The “Levels” Data Structure
- 10.8: Reading and Writing Text Files
- 10.9: Text Files and Binary Files
- 10.10: Writing to Files
- 10.11: Reading from Files
- 10.12: About the Star Pusher Map File Format
- 10.13: Recursive Functions
- 10.14: Stack Overflows
- 10.15: Preventing Stack Overflows with a Base Case
- 10.16: The Flood Fill Algorithm
- 10.17: Drawing the Map
- 10.18: Checking if the Level is Finished
- 10.19: Summary
- Back Matter
- 11: Four Extra Games
- Front Matter
- 11.1: Flippy, an “Othello” Clone
- 11.2: Source Code for Flippy
- 11.3: Ink Spill, a “Flood It” Clone
- 11.4: Source Code for Ink Spill
- 11.5: Four-In-A-Row, a “Connect Four” Clone
- 11.6: Source Code for Four-In-A-Row
- 11.7: Gemgem, a “Bejeweled” Clone
- 11.8: Source Code for Gemgem
- 11.9: Summary
- Back Matter
- Back Matter
- Think Python 2e (Downey)
- Front Matter
- 0: Preface
- 1: The way of the program
- 2: Variables, expressions and statements
- 3: Functions
- 3.1: Function calls
- 3.2: Math functions
- 3.3: Composition
- 3.4: Adding new functions
- 3.5: Definitions and uses
- 3.6: Flow of execution
- 3.7: Parameters and arguments
- 3.8: Variables and parameters are local
- 3.9: Stack diagrams
- 3.10: Fruitful functions and void functions
- 3.11: Why functions?
- 3.12: Debugging
- 3.13: Glossary
- 3.14: Exercises
- 4: Case study - interface design
- 5: Conditionals and recursion
- 5.1: Floor division and modulus
- 5.2: Boolean expressions
- 5.3: Logical operators
- 5.4: Conditional execution
- 5.5: Alternative execution
- 5.6: Chained conditionals
- 5.7: Nested conditionals
- 5.8: Recursion
- 5.9: Stack diagrams for recursive functions
- 5.10: Infinite recursion
- 5.11: Keyboard input
- 5.12: Debugging
- 5.13: Glossary
- 5.14: Exercises
- 6: Fruitful functions
- 7: Iteration
- 8: Strings
- 9: Case study - word play
- 10: Lists
- 10.1: A list is a sequence
- 10.2: Lists are mutable
- 10.3: Traversing a list
- 10.4: List operations
- 10.5: List slices
- 10.6: List methods
- 10.7: Map, filter and reduce
- 10.8: Deleting elements
- 10.9: Lists and strings
- 10.10: Objects and values
- 10.11: Aliasing
- 10.12: List arguments
- 10.13: Debugging
- 10.14: Glossary
- 10.15: Exercises
- 11: Dictionaries
- 12: Tuples
- 13: Case study - data structure selection
- 14: Files
- 15: Classes and objects
- 16: Classes and functions
- 17: Classes and methods
- 17.1: Object-oriented features
- 17.2: Printing objects
- 17.3: Another example
- 17.4: A more complicated example
- 17.5: The init method
- 17.6: The __str__ method
- 17.7: Operator overloading
- 17.8: Type-based dispatch
- 17.9: Polymorphism
- 17.10: Debugging
- 17.11: Interface and implementation
- 17.12: Glossary
- 17.13: Exercises
- 18: Inheritance
- 19: The Goodies
- 20: Appendix A - Debugging
- 21: Appendix B - Analysis of Algorithms
- Back Matter
- Think Python - How to Think Like a Computer Scientist (Downey)
- Front Matter
- 1: Lists
- 2: Dictionaries
- 3: Tuples
- 4: Case Study- Data Structure Selection
- 5: Files
- 6: Classes and Objects
- 7: Classes and Functions
- 8: Classes and Methods
- 9: Inheritance
- 10: Case Study- Tkinter
- 11: The Way of The Program
- 12: Appendix A- Debugging
- 13: Appendix B- Analysis of Algorithms
- 14: Appendix C- Lumpy
- 15: Variables, Expressions and Statements
- 16: Functions
- 16.1: Function Calls
- 16.2: Type Conversion Functions
- 16.3: Math Functions
- 16.4: Composition
- 16.5: Adding New Functions
- 16.6: Definitions and Uses
- 16.7: Flow of Execution
- 16.8: Parameters and Arguments
- 16.9: Variables and Parameters Are Local
- 16.10: Stack Diagrams
- 16.11: Fruitful Functions and Void Functions
- 16.12: Why Functions?
- 16.13: Importing with from
- 16.14: Debugging
- 16.15: Glossary
- 16.16: Exercises
- 17: Case Study- Interface Design
- 18: Conditionals and Recursion
- 18.1: Modulus Operator
- 18.2: Boolean Expressions
- 18.3: Logical Operators
- 18.4: Conditional Execution
- 18.5: Alternative Execution
- 18.6: Chained Conditionals
- 18.7: Nested Conditionals
- 18.8: Recursion
- 18.9: Stack Diagrams for Recursive Functions
- 18.10: Infinite Recursion
- 18.11: Keyboard Input
- 18.12: Debugging
- 18.13: Glossary
- 18.14: Exercises
- 19: Fruitful Functions
- 20: Iteration
- 21: Strings
- 22: Case Study- Word Play
- Back Matter
- Think Data Structures - Algorithms and Information Retrieval in Java (Downey)
- Think Java - How to Think Like a Computer Scientist (Downey)
- Front Matter
- 0: Preface
- 1: Objects
- 2: Classes
- 3: Arrays of Objects
- 4: Objects of Arrays
- 5: Objects of Objects
- 6: Appendix A - Development Tools
- 7: Appendix B - Java 2D Graphics
- 8: Appendix C - Debugging
- 9: The Way of the Program
- 10: Variables and Operators
- 11: Input and Output
- Front Matter
- 11.1: The System Class
- 11.2: The Scanner Class
- 11.3: Program Structure
- 11.4: Inches to Centimeters
- 11.5: Literals and Constants
- 11.6: Formatting Output
- 11.7: Centimeters to Inches
- 11.8: Modulus Operator
- 11.9: Putting It All Together
- 11.10: The Scanner Bug
- 11.11: Vocabulary
- 11.12: Exercises
- Back Matter
- 12: Void Methods
- 13: Conditionals and Logic
- Front Matter
- 13.1: Relational Operators
- 13.2: Logical Operators
- 13.3: Conditional Statements
- 13.4: Chaining and Nesting
- 13.5: Flag Variables
- 13.6: The Return Statement
- 13.7: Validating Input
- 13.8: Recursive Methods
- 13.9: Recursive Stack Diagrams
- 13.10: Binary Numbers
- 13.11: Vocabulary
- 13.12: Exercises
- zz: Back Matter
- 14: Value Methods
- 15: Loops
- 16: Arrays
- 17: Strings and Things
- Back Matter
- Java, Java, Java - Object-Oriented Programming (Morelli and Walde)
- Front Matter
- 0: Computers, Objects, and Java
- 1: Java Program Design and Development
- 2: Objects- Defining, Creating, and Using
- 3: Methods- Communicating with Objects
- 3.1: Passing Information to an Object
- 3.2: Constructor Methods
- 3.3: Retrieving Information from an Object
- 3.4: Passing a Value and Passing a Reference
- 3.5: Flow of Control- Control Structures
- 3.6: Testing an Improved OneRowNim
- 3.7: Drawing Lines and Defining Graphical Methods (Optional)
- 3.8: Special Topic- Intelligent Agents
- 3.9: From the Java Library- java.lang.Object
- 3.10: Object-Oriented Design- Inheritance and Polymorphism
- 4: Input/Output- Designing the User Interface
- 5: Java Data and Operators
- 6: Control Structures
- 6.1: Flow of Control- Repetition Structures
- 6.2: Counting Loops
- 6.3: Example- Car Loan
- 6.4: Graphics Example- Drawing a Checkerboard
- 6.5: Conditional Loops
- 6.6: Example- Computing Averages
- 6.7: Object-Oriented Design- Structured Programming
- 6.8: Special Topic- What Can Be Computed?
- 6.9: Example- Data Validation
- 6.10: Principles of Loop Design
- 6.11: The switch Multiway Selection Structure
- 7: Strings and String Processing
- 7.1: String Basics
- 7.2: Finding Things Within a String
- 7.3: Example- Keyword Search
- 7.4: From the Java Library- StringBuffer
- 7.5: Retrieving Parts of Strings
- 7.6: Example- Processing Names and Passwords
- 7.7: Handling Text in a Graphics Context (Optional)
- 7.8: Processing Each Character in a String
- 7.9: Comparing Strings
- 7.10: From the Java Library- StringTokenizer
- 8: Inheritance and Polymorphism
- 9: Arrays and Array Processing
- 10: Exceptions- When Things Go Wrong
- 11: Files and Streams
- 11.1: Streams and Files
- 11.2: Case Study- Reading and Writing Text Files
- 11.3: The File Class
- 11.4: Example- Reading and Writing Binary Files
- 11.5: Object Serialization- Reading and Writing Objects
- 11.6: From the Java Library- javax.swing.JFileChooser
- 11.7: Using File Data in Programs
- 11.8: Special Topic- Databases and Personal Privacy
- 12: Recursive Problem Solving
- 12.1: Recursive Definition
- 12.2: Recursive String Methods
- 12.3: Recursive Array Processing
- 12.4: Example- Drawing (Recursive) Fractals
- 12.5: Object-Oriented Design- Tail Recursion
- 12.6: Object-Oriented Design- Recursion or Iteration?
- 12.7: Special Topic- Exploring the Mandelbrot Set
- 12.8: From the Java Library- javax.swing.JComboBox
- 13: Graphical User Interfaces
- 13.1: Java GUIs- From AWT to Swing
- 13.2: The Swing Component Set
- 13.3: Object-Oriented Design- Model-View-Controller Architecture
- 13.4: The Java Event Model
- 13.5: Case Study- Designing a Basic GUI
- 13.6: Containers and Layout Managers
- 13.7: Checkboxes, Radio Buttons, and Borders
- 13.8: Menus and Scroll Panes
- 13.9: Special Topic- Are Computers Intelligent?
- 14: Threads and Concurrent Programming
- 15: Sockets and Networking
- 15.1: An Overview of Networks
- 15.2: Using Network Resources from an Applet
- 15.3: From the Java Library- java.net.URL
- 15.4: The Slide Show Program
- 15.5: Using Network Resources from an Application
- 15.6: Client/Server Communication via Sockets
- 15.7: Java Servlets and Server Pages
- 15.8: Case Study- Generic Client/Server Classes
- 15.9: Playing One Row Nim Over the Network
- 15.10: Java Network Security Restrictions
- 16: Data Structures- Lists, Stacks, and Queues
- 16.1: The Linked List Data Structure
- 16.2: OBJECT-ORIENTED DESIGN: The List Abstract Data Type (ADT)
- 16.3: The Stack ADT
- 16.4: The Queue ADT
- 16.5: From the Java Library: The Java Collections Framework and Generic Types
- 16.6: Using the Set and Map Interfaces
- 16.7: The Binary Search Tree Data Structure
- 16.8: Chapter Summary
- Back Matter
- Eloquent JavaScript (Haverbeke)
- Introduction To MIPS Assembly Language Programming (Kann)
- Front Matter
- 1: Introduction
- 2: First Programs in MIPS Assembly
- 3: MIPS Arithmetic and Logical Operators
- 3.1: 3-Address Machines
- 3.2: Addition in MIPS Assembly
- 3.3: Subtraction in MIPS Assembly
- 3.4: Multiplication in MIPS Assembly
- 3.5: Division in MIPS Assembly
- 3.6: Solving Arithmetic Expressions in MIPS Assembly
- 3.7: Division and Accuracy of an Equation
- 3.8: Logical Operators
- 3.9: Using Logical Operators
- 3.10: Shift Operations
- 3.11: Summary
- 3.12: Exercises
- 4: Translating Assembly Language into Machine Code
- 5: Simple MIPS Subprograms
- 5.1: Exit Subprogram
- 5.2: PrintNewLine Subprogram
- 5.3: The Program Counter ($pc) register and calling a subprogram
- 5.4: Returning from a Subprogram and the $ra Register
- 5.5: Input Parameter with PrintString Subprogram
- 5.6: Multiple Input Parameters with PrintInt Subprogram
- 5.7: Return Values with PromptInt Subprogram
- 5.8: Create a utils.asm File
- 5.9: Final Program to Prompt, Read, and Print an Integer
- 5.10: Summary
- 5.11: Exercises
- 6: MIPS Memory - the Data Segment
- 7: Assembly Language Program Control Structures
- 8: Reentrant Subprograms
- 9: Arrays
- Back Matter
- Introduction to Assembly Language Programming: From Soup to Nuts: ARM Edition (Kann)
- Front Matter
- 1: Introduction
- 2: Review of Binary Arithmetic
- 3: Getting Started with Assembly Language Programming
- 4: 3-address instruction set
- 5: A more complete ARM Instruction Set
- 6: Machine Code
- 7: Program Control Flow and Functions
- 8: Procedural Programming in Assembly
- 9: Function Format and Recursion
- 10: Arrays
- Back Matter
- x86-64 Assembly Language Programming with Ubuntu (Jorgensen)
- Front Matter
- 1: Introduction
- 2: Architecture Overview
- 3: Data Representation
- 4: Program Format
- 5: Tool Chain
- 6: DDD Debugger
- 7: Instruction Set Overview
- 8: Addressing Modes
- 9: Process Stack
- 10: Program Development
- 11: Macros
- 12: Functions
- 12.1: Updated Linking Instructions
- 12.2: Debugger Commands
- 12.3: Stack Dynamic Local Variables
- 12.4: Function Declaration
- 12.5: Standard Calling Convention
- 12.6: Linkage
- 12.7: Example, Statistical Function2 (non-leaf)
- 12.8: Stack-Based Local Variables
- 12.9: Summary
- 12.10: 12.13-Exercises
- 12.11: Argument Transmission
- 12.12: Calling Convention
- 12.13: Example, Statistical Function 1 (leaf)
- 13: System Services
- 14: Multiple Source Files
- 15: Stack Buffer Overflow
- 16: Command Line Arguments
- 17: Input/Output Buffering
- 18: Floating-Point Instructions
- 18.1: Floating-Point Values
- 18.2: Floating-Point Registers
- 18.3: Data Movement
- 18.4: Integer / Floating-Point Conversion Instructions
- 18.5: Floating-Point Arithmetic Instructions
- 18.6: Floating-Point Control Instructions
- 18.10: Exercises
- 18.7: Floating-Point Calling Conventions
- 18.8: Example Program, Sum and Average
- 18.9: Example Program, Absolute Value
- 19: Parallel Processing
- 20: Interrupts
- 21: Appendices
- Back Matter
- Introduction to Programming using Fortran 95/2003/2008 (Jorgensen)
- Front Matter
- 1: Introduction
- 2: Computer Organization
- 3: Getting Started
- 4: Fortran 95/2003/2008 – Basic Elements
- 5: Expressions
- 6: Simple Input and Output
- 7: Program Development
- 8: Selection Statements
- 9: Looping
- 10: Formatted Input/Output
- 11: Characters and Strings
- 11.1: Character and String Constants
- 11.2: Character Variable Declaration
- 11.3: Character Variable Initialization
- 11.4: Character Constants
- 11.5: Character Assignment
- 11.6: Character Operators
- 11.7: Character Substrings
- 11.8: Character Comparisons
- 11.9: Intrinsic Character Operations
- 11.10: Example
- 11.11: Exercises
- 12: File Operations
- 13: Single Dimension Arrays
- 14: Multidimensional Arrays
- 15: Subprograms
- 16: Derived Data Types
- 17: Modules
- 18: Recursion
- 19: Character String / Numeric Conversion
- 20: System Services
- 21: Appendix 1 - ASCII Table
- 22: Appendix 2 - Start-Up Instructions
- 23: Appendix 3 - Random Number Generation
- 24: Appendix 4 - Intrinsic Functions
- 25: Appendix 5 - Visualization with GNUplot
- 26: Appendix 6 - Quiz Question Answers
- 26.1: Quiz Question Answers - Chapter 1
- 26.2: Quiz Question Answers - Chapter 2
- 26.3: Quiz Question Answers - Chapter 3
- 26.4: Quiz Question Answers - Chapter 4
- 26.5: Quiz Question Answers - Chapter 5
- 26.6: Quiz Question Answers - Chapter 6
- 26.7: Quiz Question Answers - Chapter 7
- 26.8: Quiz Question Answers - Chapter 8
- 26.9: Quiz Question Answers - Chapter 9
- 26.10: Quiz Question Answers - Chapter 10
- 26.11: Quiz Question Answers - Chapter 11
- 26.12: Quiz Question Answers - Chapter 12
- 26.13: Quiz Question Answers - Chapter 13
- 26.14: Quiz Question Answers - Chapter 14
- 26.15: Quiz Question Answers - Chapter 15
- 26.16: Quiz Question Answers - Chapter 16
- 26.17: Quiz Question Answers - Chapter 17
- 26.18: Quiz Question Answers - Chapter 18
- 26.19: Quiz Question Answers - Chapter 19
- 26.20: Quiz Question Answers - Chapter 20
- 27: Appendix 7 - Fortran 95/2003/2008 Keywords
- Back Matter
- Pharo by Example 50 (Ducasse, Zagidulin, Hess, and Chloupis)
- Front Matter
- 1: Preface
- 2: A Quick Tour of Pharo
- 2.1: Installing Pharo
- 2.2: Pharo — File Components
- 2.3: Launching Pharo
- 2.4: PharoLauncher
- 2.5: The World Menu
- 2.6: Sending Messages
- 2.7: Saving, Quitting and Restarting a Pharo Session
- 2.8: Playgrounds and Transcripts
- 2.9: Keyboard Shortcuts
- 2.10: The System Browser
- 2.11: Finding Classes
- 2.12: Finding Methods
- 2.13: Defining a New Method
- 2.14: Chapter Summary
- 3: A First Application
- 3.1: The Lights Out Game
- 3.2: Creating a New Package
- 3.3: Defining the Class LOCell
- 3.4: Adding Methods to a Class
- 3.5: Inspecting an Object
- 3.6: Defining the Class LOGame
- 3.7: Organizing Methods into Protocols
- 3.8: Finishing the Game
- 3.9: Let’s Try Our Code
- 3.10: Saving and Sharing Pharo Code
- 3.11: Chapter Summary
- 4: Syntax in a Nutshell
- 5: Understanding Message Syntax
- 6: The Pharo Object Model
- 6.1: The Rules of the Model
- 6.2: Everything Is an Object
- 6.3: Every Object Is an Instance of a Class
- 6.4: Instance Structure and Behavior
- 6.5: The Instance Side and the Class Side
- 6.6: Every Class Has a Superclass
- 6.7: Everything Happens by Sending Messages
- 6.8: Method Lookup Follows the Inheritance Chain
- 6.9: Shared Variables
- 6.10: Internal Object Implementation Note
- 6.11: Chapter Summary
- 7: Some of the Key Tools of the Pharo Environment
- 8: Sharing Code and Source Control
- 9: SUnit
- 10: Basic Classes
- 11: Collections
- 12: Streams
- 13: Morphic
- 14: Seaside by Example
- 15: Classes and Metaclasses
- 15.1: Rules for Classes and Metaclasses
- 15.2: Revisiting the Pharo Object Model
- 15.3: Every Class Is an Instance of a Metaclass
- 15.4: The Metaclass Hierarchy Parallels the Class Hierarchy
- 15.5: Every Metaclass Inherits from Class and Behavior
- 15.6: Every Metaclass Is an Instance of Metaclass
- 15.7: The Metaclass of Metaclass Is an Instance of Metaclass
- 15.8: Chapter Summary
- 16: Reflection
- 17: Regular Expressions in Pharo
- Back Matter
- Deep into Pharo (Bergel, Cassou, Ducasse, and Laval)
- Front Matter
- 1: Zero Configuration Scripts and Command-Line Handlers
- 2: Files with FileSystem
- 3: Sockets
- 4: The Settings Framework
- 5: Regular Expressions in Pharo
- 6: Versioning Your Code with Monticello
- 7: Gofer — Scripting Package Loading
- 8: Managing Projects with Metacello
- 8.1: Introduction
- 8.2: One Tool for Each Job
- 8.3: Metacello Features
- 8.4: A Simple Case Study
- 8.5: Loading a Metacello Configuration
- 8.6: Managing Dependencies Between Packages
- 8.7: Baselines
- 8.8: Groups
- 8.9: Dependencies Between Projects
- 8.10: About Dependency Granularity
- 8.11: Executing Code Before and After Installation
- 8.12: Platform Specific Package
- 8.13: Milestoning Development- Symbolic Versions
- 8.14: Load Types
- 8.15: Conditional Loading
- 8.16: Project Version Attributes
- 8.17: Chapter Summary
- 9: Glamour
- 10: Agile Visualization with Roassal
- 11: Scripting Visualizations with Mondrian
- 11.1: Installation and First Visualization
- 11.2: Starting with Mondrian
- 11.3: Visualizing the Collection Framework
- 11.4: Reshaping Nodes
- 11.5: Multiple Edges
- 11.6: Colored Shapes
- 11.7: More on Colors
- 11.8: Popup View
- 11.9: Subviews
- 11.10: Forwarding Events
- 11.11: Events
- 11.12: Interaction
- 11.13: Chapter Summary
- 12: Handling Exceptions
- 12.1: Introduction
- 12.2: Ensuring Execution
- 12.3: Handling Non-Local Returns
- 12.4: Exception Handlers
- 12.5: Error Codes — Don't Do This!
- 12.6: Specifying Which Exceptions Will Be Handled
- 12.7: Signaling an Exception
- 12.8: Finding Handlers
- 12.9: Handling Exceptions
- 12.10: Comparing outer With pass
- 12.11: Exceptions and ensure, ifCurtailed Interaction
- 12.12: Example — Deprecation
- 12.13: Example — Halt Implementation
- 12.14: Specific Exceptions
- 12.15: When Not to Use Exceptions
- 12.16: Exceptions Implementation
- 12.17: Ensure's Implementation
- 12.18: Chapter Summary
- 13: Blocks — A Detailed Analysis
- 14: Exploring Little Numbers
- 15: Fun with Floats
- 16: Profiling Applications
- 16.1: What Does Profiling Mean?
- 16.2: A Simple Example
- 16.3: Code Profiling in Pharo
- 16.4: Read and Interpret the Results
- 16.5: Illustrative Analysis
- 16.6: Counting Messages
- 16.7: Memorized Fibonacci
- 16.8: SpaceTally for Memory Consumption per Class
- 16.9: Few Advices
- 16.10: How MessageTally is Implemented?
- 16.11: Chapter Summary
- 17: PetitParser — Building Modular Parsers
- Back Matter
- Squeak by Example (Black, Ducasse, Nierstrasz, and Pollet)
- Front Matter
- 1: A Quick Tour of Squeak
- 2: A First Application
- 2.01: The Quinto Game
- 2.02: Creating a New Class Category
- 2.03: Defining the Class SBECell
- 2.04: Adding Methods to a Class
- 2.05: Inspecting an Object
- 2.06: Defining the Class SBEGame
- 2.07: Organizing Methods into Protocols
- 2.08: Let’s Try Our Code
- 2.09: Saving and Sharing Smalltalk Code
- 2.10: Chapter Summary
- 3: Syntax in a Nutshell
- 4: Understanding Message Syntax
- 5: The Smalltalk Object Model
- 6: The Squeak Programming Environment
- 7: SUnit
- 8: Basic Classes
- 9: Collections
- 10: Streams
- 11: Morphic
- 12: Classes and Metaclasses
- 12.1: Rules for Classes and Metaclasses
- 12.2: Revisiting the Smalltalk Object Model
- 12.3: Every Class Is an Instance of a Metaclass
- 12.4: The Metaclass Hierarchy Parallels the Class Hierarchy
- 12.5: Every Metaclass Inherits from Class and Behavior
- 12.6: Every Metaclass Is an Instance of Metaclass
- 12.7: The Metaclass of Metaclass Is an Instance of Metaclass
- 12.8: Chapter Summary
- 13: Appendix A - Frequently Asked Questions
- Back Matter
- Python Programming (OpenStax)
- Byte of Python (Swaroop CH)
- Applied Programming
- A Brief Introduction to Engineering Computation with MATLAB (Beyenir)
- An Introduction to Matlab and Mathcad (Siemers)
- Front Matter
- 1: Matlab Introduction
- 2: Matlab Matrices
- 3: Matlab Built-In Functions
- 4: Matlab Graphics
- 5: Matlab User Defined Functions
- 6: Matlab Input/Output
- 7: Matlab Programming Structures
- 8: Matlab Applications
- 9: Matlab Curve Fitting
- 10: Mathcad Introduction
- 11: Mathcad Entering Equations
- 12: Given/Find and Solve
- 13: Mathcad Functions
- 14: Mathcad Matrices
- 15: Mathcad Graphing
- 16: Mathcad Curve Fitting
- 17: Mathcad Calculus and Symbolics
- Back Matter
- Physical Modeling in MATLAB (Downey)
- Matlab and Octave Programming for STEM Applications (Smith) - Redirect
- Think Complexity: Exploring Complexity Science with Python (Downey)
- Front Matter
- 1: Complexity Science
- 2: Graphs
- 3: Small World Graphs
- 4: Scale-free networks
- 5: Cellular Automatons
- 6: Game of Life
- 7: Physical modeling
- 8: Self-organized criticality
- 9: Agent-based models
- 10: Herds, Flocks and Traffic Jams
- 11: Evolution
- 12: Evolution of cooperation
- Appendix A: Reading list
- Back Matter
- Introduction to Computer Graphics (Eck)
- Front Matter
- 1: Introduction
- 2: Two-Dimensional Graphics
- 3: OpenGL 1.1- Geometry
- 4: OpenGL 1.1- Light and Material
- 5: Three.js- A 3D Scene Graph API
- 6: Introduction to WebGL
- 7: 3D Graphics with WebGL
- 8: Beyond Realtime Graphics
- 9: Programming Languages
- 10: Blender- A 3D Modeling Program
- 11: Gimp and Inkscape for 2D Graphics
- 12: Listing of Sample Programs
- 13: Glossary
- Back Matter
- Neural Networks and Deep Learning (Nielsen)
- Front Matter
- 1: Using neural nets to recognize handwritten digits
- 2: How the Backpropagation Algorithm Works
- 3: Improving the way neural networks learn
- 4: A visual proof that neural nets can compute any function
- 5: Why are deep neural networks hard to train?
- 6: Deep Learning
- 7: Appendix- Is there a simple algorithm for intelligence?
- Back Matter
- A Guide to MATLAB for ME 160 (Bray and Montazami)
- Front Matter
- 1: Introduction
- 2: Basic Commands in MATLAB
- 3: MATRIX Operations
- 4: Writing Scripts
- 5: Commands
- 6: Graphing in MATLAB
- 7: Graphical User Interface
- 8: Functions and Function Handles
- 9: Inputting and Outputting Data
- 10: Projects
- 11: Appendix A- Additional MATLAB Resources
- 12: Appendix B- A commentary on this work
- Back Matter
- Operating Systems
- Linux - The Penguin Marches On (McClanahan)
- Front Matter
- Module 01: Back to the Basics
- 01-A.1: Introduction to Linux
- 01-A.2: Open Source Software
- 01-A.3: Free Software vs Open Source
- 01-A.4: Different FOSS licensing...
- 01-A.5: The GNU Project
- 01-A.6: Unix - What's the Connection?
- 01-A.7: Finally - Linux
- 01-A.8: Advantages and Disadvantages of Linux
- 01-A.9: Distro List
- 01-A.10: How is Linux Used?
- 01-B.11: How the Shell and CLI Work
- 01-B.12: CLI - The Good and the Bad
- 01-B.13: Shells: What and Why
- 01-B.14: Doing bash
- 01-B.15: Bash Command How To
- 01-B.16: Let's Look at the Basics
- 01-B.17: File Basics: More Later
- 01-B.18: Who is superuser?
- 01-B.19: Leftovers, What Else Do We Need?
- 01-C.20: Help! Where can I find help in Linux?
- 01-C.21: Linux man pages
- 01-C.22: Man Page Format
- 01-C.23: Additional Linux System Help Choices
- 01-C.24: Sources of Online Linux Documentation
- 01-C.25: Asynchronous Linux Help Resources
- Module 02: User & Group Administration
- 02-A.1: Users, and How to Acquire Superuser Power
- 02-A.2: Who Is the Superuser?
- 02-A.3: su: The Command
- 02-A.4: Other Options for Administrative Privileges
- 02-B.5: Users: Create, Modify, and Delete
- 02-B.6: Users: Create, Modify, and Delete (cont'd)
- 02-B.7: Users: Create, Modify and Delete (continued)
- 02-B.8: Users: Create, Modify, and Delete - passwd Command
- 02-B.9: Users: Create, Modify, and Delete - etc passwd and etc shadow
- 02-B.10: Users: Create, Modify, and Delete - Edit /etc/passwd File
- 02-C.11: Groups: Create, Modify, and Delete
- 02-C.12: Groups: Create, Modify, and Delete - Modify Group
- 02-D.13: User and Group Queries
- 02-E.14: User Account Profile Configuration
- 02-E.15: Example: Bash RC file
- 02-E.16: System Wide User Profiles
- Module 03: Permission and Ownership Management
- Module 04: Managing Linux Storage
- 04-A.1: Storage Devices
- 04-A.2: Linux File Systems
- 04-A.3: Inodes
- 04-A.4 Journaling File Systems
- 04-A.5: Linux Virtual File System
- 04-A.6: Partitions and Labels
- 04-A.7: Disk Setup Process - fdisk
- 04-A.8: The dev Directory
- 04-B.9: Logical Volume Management
- 04-C.10: Mounting Linux File Systems
- 04-D.11: File System Management
- 04-E.12: Linux Directory Structure
- 04-F.13: Storage Issues - Find and Fix
- Module 05: File and Directory Management
- 05-A.1: Creating and Editing Text files
- 05-A.2: Creating and Editing Text files - Vim Editor
- 05-A.3: Nano Editor
- 05-A.4: Gedit and More
- 05-B.5: Searching for Files on Linux
- 05-C.6: Working with Files and Directories - cat Command
- 05-C.6.1: Working with Files and Directories - head/tail Commands
- 05-C.6.2: Working with Files and Directories - less/more Command
- 05-C.6.3: Working with Files and Directories - cp/mv Command
- 05-C.6.4: Working with Files and Directories - rm/touch Command
- 05-C.6.5: Working with Files and Directories - ls/rmidir/mkdir Command
- 05-D.7: Handling Text Files - echo/printf
- 05-D.7.1: Handling Text Files - tr/wc Command
- 05-D.7.2: Handling Text Files - sort/diff Commands
- 05-D.7.3: Handling Text Files - cut/paste
- 05-D.7.4: Handling Text Files - grep Command
- 05-D.7.5: Handling Text Files - awk Command
- 05-D.7.6: Handling Text Files - sed Command
- 05-D.7.7: Handling Text Files - ln Command
- 05-E.8: File Output Manipulation
- Module 06: Kernel Module Management
- Module 07: Linux Boot Process
- Module 08: How to Manage System Components
- 08-A.1: Localization Options - Configuration
- 08-A.2: Localization - date/timdatectl Command
- 08-A.3: Localization - localectl Command
- 08-B.4: GUI Configuration
- 08-B.5: GUI Desktop Environments
- 08-B.6: Remote Desktop Access
- 08-B.7: Remote Console - SSH/X Forwarding
- 08-C.8: Managing Linux Services
- 08-D.9: Process Troubleshooting
- 08-D.9.1: Process Troubleshooting - ps command
- 08-D.9.2: Process Troubleshooting - top command
- 08-D.9.3: Process Troubleshooting - lsof Command
- 08-D.9.4: Process Troubleshooting - Process Priorities
- 08-D.9.5: Process Troubleshooting - Background / Foreground Processes
- 08-D.9.6: Process Troubleshooting - nohup and kill Commands
- 08-E.10: CPU and Memory Troubleshooting
- Module 09: Managing Linux Devices
- Module 10: Network Management
- 10-A.1: TCP/IP Fundamentals
- 10-B.2: Server Roles in Linux
- 10-C.3: Network Connection
- 10-D.4: Static VS Dynamic IP Addresses
- 10-D.5: DHCP Configuration
- 10-D.6: Name Resolution
- 10-E.7: Cloud Configuration
- 10-E.8: The Cloud and Virtualization
- 10-E.9: Cloud Bootstrapping and Storage
- 10-E.10: Configuring Networks and Virtualization Tools
- 10-F.11: How to Troubleshoot Networking Problems
- 10-F.11.1: Network Troubleshooting Commands - netstat / ss
- 10-F.11.2: Network Troubleshooting Commands - dig / nslookup / host
- 10-F.11.3: Network Troubleshooting Commands - ip / route / nmap
- 10-F.11.4: Network Troubleshooting Commands - wireshark
- 10-F.11.5: Network Troubleshooting Commands - iftop / iperf / mtr
- 10-F.11.6: Network Troubleshooting Commands - arp / whois
- Module 11: Package Management
- Module 12: Linux Systems Security
- 12-A.1: Best Cybersecurity Practices
- 12-A.2: chroot Jail
- 12-A.3: Encryption in Linux
- 12-A.4: Security Best Practices
- 12-B.5: Identity and Access Management
- 12-B.6: Pluggable Authentication Modules
- 12-B.7: TTY Security & PKI
- 12-B.8: OpenSSL / VPN
- 12-B.9: Authentication Issues
- 12-C.10: SELinux Configuration
- 12-C.11: AppArmor
- 12-D.12: Firewall Configuration in Linux
- 12-D.13: Access Control Lists / iptables
- 12-D.14: UFW & firewalld
- 12-D.15: Netfilter / IP Forwarding
- 12-E.16: Linux Logging
- 12-E.17: journalctl & last Commands
- 12-F.18: Backup and Restore in Linux
- 12-F.19: tar / cpio / dd
- 12-F.20: mirrorvg / rsync / scp
- 12-F.21: File Compression
- 12-F.22: Integrity Check and Checksums
- Module 13: Working with Bash Scripts
- 13-A.1: How to Customize the Bash Shell
- 13-A.2: env / alias / PATH / time
- 13-B.3: Fundamentals of Linux Scripts
- 13-B.4: Shell Operators
- 13-B.5: Strings / Arrays / Functions
- 13-C.6: Writing and Running Linux Scripts
- 13-C.7: Shell Expansion / Variable Substitution / Command Substitution
- 13-C.8: Positional Parameters / exec Command / source Command
- 13-C.9: Script Permissions / Script Extensions
- 13-D.10: Shell Control Statements
- 13-D.11: Script Loops
- Module 14: Task Automation
- Module 15: Linux Installation
- Ancillary Materials
- Back Matter
- Think OS - A Brief Introduction to Operating Systems (Downey)
- Linux - The Penguin Marches On (McClanahan)
- Programming and Computation Fundamentals
- Artificial Intelligence