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CS144: Computer Network

CS144: Computer Network

UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision

UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision

CMU 15-445: Database Systems

Course Information

15-445: Database Systems

Instructor: Professor

Time: Tuesday and Thursday, 10:00am-11:50am

Location: 3000 West Hall

Office Hours: By appointment

Prerequisites: CMU 15-210 or equivalent.

Course Description

This course covers the fundamental concepts and techniques of database systems, including data modeling, query processing, transaction management, and concurrency control. The course will also cover database design, implementation, and management, including database indexing, query optimization, and database security. The course will also cover database systems for big data, including distributed databases, cloud databases, and NoSQL databases.

Grading

  • Homework (40%): 4 homework assignments, each worth 10% of the grade.
  • Midterm Exam (30%): 1 midterm exam, worth 30% of the grade.
  • Final Exam (30%): 1 final exam, worth 30% of the grade.

Textbook

  • Database Systems: The Complete Book (10th Edition) by and

Course Outline

  • Introduction to Database Systems
  • Data Modeling
  • Query Processing
  • Transaction Management
  • Concurrency Control
  • Database Design
  • Database Implementation
  • Database Management
  • Database Indexing
  • Query Optimization
  • Database Security
  • Distributed Databases
  • Cloud Databases
  • NoSQL Databases
  • Case Studies

CMU 15-445: Database Systems

Course Information

15-445: Database Systems

Instructor: Professor

Time: Tuesday and Thursday, 10:00am-11:50am

Location: 3000 West Hall

Office Hours: By appointment

Prerequisites: CMU 15-210 or equivalent.

Course Description

This course covers the fundamental concepts and techniques of database systems, including data modeling, query processing, transaction management, and concurrency control. The course will also cover database design, implementation, and management, including database indexing, query optimization, and database security. The course will also cover database systems for big data, including distributed databases, cloud databases, and NoSQL databases.

Grading

  • Homework (40%): 4 homework assignments, each worth 10% of the grade.
  • Midterm Exam (30%): 1 midterm exam, worth 30% of the grade.
  • Final Exam (30%): 1 final exam, worth 30% of the grade.

Textbook

  • Database Systems: The Complete Book (10th Edition) by and

Course Outline

  • Introduction to Database Systems
  • Data Modeling
  • Query Processing
  • Transaction Management
  • Concurrency Control
  • Database Design
  • Database Implementation
  • Database Management
  • Database Indexing
  • Query Optimization
  • Database Security
  • Distributed Databases
  • Cloud Databases
  • NoSQL Databases
  • Case Studies

CS224n: Natural Language Processing

CS224n: Natural Language Processing

Haskell

Haskell is a purely functional programming language. It is known for its speed and reliability, and it is often used in industry for building large-scale software systems.

Haskell

Haskell is a purely functional programming language. It is known for its speed and reliability, and it is often used in industry for building large-scale software systems.

Lean4

Lean4 is a programming language developed by Microsoft Research. It is a functional programming language that is based on theorem proving and dependent type theory. It is designed to be easy to use and easy to understand. It is also designed to be efficient and scalable.

Lean4

Lean4 is a programming language developed by Microsoft Research. It is a functional programming language that is based on theorem proving and dependent type theory. It is designed to be easy to use and easy to understand. It is also designed to be efficient and scalable.

LangChain

LangChain is a project that aims to create a language-agnostic, open-source, and community-driven framework for language learning.

The framework will be designed to be modular and extensible, allowing for easy integration of new languages and features. The framework will also be designed to be user-friendly and accessible, with clear documentation and tutorials.

The LangChain framework will be open-source and available for anyone to use and contribute to. The project will be developed in the open, with all code and documentation available for anyone to view and use.

The LangChain framework will be designed to be language-agnostic, meaning that it will be able to support any language that has a written alphabet. This will allow for easy integration of new languages and features, as well as the ability to create language-specific tools and resources.

The LangChain framework will be community-driven, meaning that it will be open to anyone who wants to contribute to the project. Anyone can submit new languages, features, or tools, and the LangChain team will review and approve them. This will allow for a collaborative and diverse community to develop and improve the framework.

The LangChain framework will be designed to be scalable, meaning that it will be able to handle large amounts of data and users. The framework will be designed to be efficient and scalable, with features such as caching and optimization in mind. The LangChain team will work to ensure that the framework is optimized for performance and scalability, and that it can handle large amounts of data and users.

The LangChain framework will be designed to be accessible, meaning that it will be designed to be easy to use and understand. The framework will be designed to be user-friendly and intuitive, with clear documentation and tutorials. The LangChain team will work to ensure that the framework is easy to use and understand, and that it is accessible to all users.

The LangChain framework will be designed to be secure, meaning that it will be designed to protect user data and prevent unauthorized access. The framework will be designed to be secure and safe, with features such as encryption and authentication in mind. The LangChain team will work to ensure that the framework is secure and safe, and that it protects user data and prevents unauthorized access.

The LangChain framework will be designed to be inclusive, meaning that it will be designed to be accessible to people with disabilities. The framework will be designed to be accessible and inclusive, with features such as high contrast and easy-to-read fonts in mind. The LangChain team will work to ensure that the framework is accessible and inclusive, and that it is designed to be used by people with disabilities.

LangChain

LangChain is a project that aims to create a language-agnostic, open-source, and community-driven framework for language learning.

The framework will be designed to be modular and extensible, allowing for easy integration of new languages and features. The framework will also be designed to be user-friendly and accessible, with clear documentation and tutorials.

The LangChain framework will be open-source and available for anyone to use and contribute to. The project will be developed in the open, with all code and documentation available for anyone to view and use.

The LangChain framework will be designed to be language-agnostic, meaning that it will be able to support any language that has a written alphabet. This will allow for easy integration of new languages and features, as well as the ability to create language-specific tools and resources.

The LangChain framework will be community-driven, meaning that it will be open to anyone who wants to contribute to the project. Anyone can submit new languages, features, or tools, and the LangChain team will review and approve them. This will allow for a collaborative and diverse community to develop and improve the framework.

The LangChain framework will be designed to be scalable, meaning that it will be able to handle large amounts of data and users. The framework will be designed to be efficient and scalable, with features such as caching and optimization in mind. The LangChain team will work to ensure that the framework is optimized for performance and scalability, and that it can handle large amounts of data and users.

The LangChain framework will be designed to be accessible, meaning that it will be designed to be easy to use and understand. The framework will be designed to be user-friendly and intuitive, with clear documentation and tutorials. The LangChain team will work to ensure that the framework is easy to use and understand, and that it is accessible to all users.

The LangChain framework will be designed to be secure, meaning that it will be designed to protect user data and prevent unauthorized access. The framework will be designed to be secure and safe, with features such as encryption and authentication in mind. The LangChain team will work to ensure that the framework is secure and safe, and that it protects user data and prevents unauthorized access.

The LangChain framework will be designed to be inclusive, meaning that it will be designed to be accessible to people with disabilities. The framework will be designed to be accessible and inclusive, with features such as high contrast and easy-to-read fonts in mind. The LangChain team will work to ensure that the framework is accessible and inclusive, and that it is designed to be used by people with disabilities.

CS189: Introduction to Machine Learning

CS189: Introduction to Machine Learning

Java

Java is a class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let application developers write once, run anywhere (WORA), meaning that compiled Java code can run on all platforms that support Java without the need for recompilation.

Java

Java is a class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let application developers write once, run anywhere (WORA), meaning that compiled Java code can run on all platforms that support Java without the need for recompilation.

CMake

CMake is a cross-platform build system generator. It is used to build, test, and package software. It is widely used in the open-source community and is used in many popular projects such as OpenCV, VTK, and ITK.

CMake

CMake is a cross-platform build system generator. It is used to build, test, and package software. It is widely used in the open-source community and is used in many popular projects such as OpenCV, VTK, and ITK.

MIT: The Missing Semester of Your CS Education

Overview

MIT offers a free, online course called "The Missing Semester of Your CS Education" that provides a comprehensive overview of the core concepts and techniques used in computer science. The course is taught by professors from MIT and Harvard, and is designed to be accessible to anyone with a basic understanding of computer science. The course covers topics such as programming languages, algorithms, data structures, and systems programming, as well as topics such as software engineering, security, and ethics. The course is taught in a way that is easy to understand and engaging, and includes a series of weekly quizzes and assignments to test the students' understanding of the material.

Prerequisites

To take this course, you should have a basic understanding of computer science concepts and programming. You should also have some experience with programming in a high-level language such as Python or Java. If you are not familiar with these languages, you may want to review some of the basic syntax and concepts before taking the course.

Course Outline

The course is divided into 10 modules, each covering a different topic. The modules are:

  1. Programming Languages and Tools
  2. Algorithms and Data Structures
  3. Operating Systems and Systems Programming
  4. Computer Networks and Security
  5. Databases and Distributed Systems
  6. Software Engineering
  7. Compilers and Interpreters
  8. Machine Learning and Neural Networks
  9. Ethics and Law
  10. The Future of Computer Science

Each module includes lectures, readings, and assignments. The lectures cover the core concepts and techniques used in the topic, while the readings provide additional background information. The assignments are designed to test the students' understanding of the material and prepare them for the exams.

Course Schedule

MIT: The Missing Semester of Your CS Education

Overview

MIT offers a free, online course called "The Missing Semester of Your CS Education" that provides a comprehensive overview of the core concepts and techniques used in computer science. The course is taught by professors from MIT and Harvard, and is designed to be accessible to anyone with a basic understanding of computer science. The course covers topics such as programming languages, algorithms, data structures, and systems programming, as well as topics such as software engineering, security, and ethics. The course is taught in a way that is easy to understand and engaging, and includes a series of weekly quizzes and assignments to test the students' understanding of the material.

Prerequisites

To take this course, you should have a basic understanding of computer science concepts and programming. You should also have some experience with programming in a high-level language such as Python or Java. If you are not familiar with these languages, you may want to review some of the basic syntax and concepts before taking the course.

Course Outline

The course is divided into 10 modules, each covering a different topic. The modules are:

  1. Programming Languages and Tools
  2. Algorithms and Data Structures
  3. Operating Systems and Systems Programming
  4. Computer Networks and Security
  5. Databases and Distributed Systems
  6. Software Engineering
  7. Compilers and Interpreters
  8. Machine Learning and Neural Networks
  9. Ethics and Law
  10. The Future of Computer Science

Each module includes lectures, readings, and assignments. The lectures cover the core concepts and techniques used in the topic, while the readings provide additional background information. The assignments are designed to test the students' understanding of the material and prepare them for the exams.

Course Schedule

GUN Make

1. Introduction

GUN Make is a tool for automating the build process of software projects. It is a command-line tool that can be used to build, test, and package software projects. GUN Make is a cross-platform tool that can be used on Windows, Linux, and macOS.

2. Installation

GUN Make can be installed on Windows, Linux, and macOS using the following steps:

  1. Download the latest release of GUN Make from the official website: https://www.github.com/amake/gunmake

  2. Extract the downloaded file and move the gunmake executable to a directory that is in the system PATH.

  3. Verify that GUN Make is installed by running the gunmake command in the terminal or command prompt.

3. Usage

GUN Make can be used to build, test, and package software projects by running the gunmake command in the terminal or command prompt. The gunmake command takes a command as an argument, which can be one of the following:

  • build: builds the software project.
  • test: runs the test suite of the software project.
  • package: packages the software project for distribution.

For example, to build a software project, run the following command:

gunmake build
+ GNU Make - Scheme MkDocs      

GUN Make

1. Introduction

GUN Make is a tool for automating the build process of software projects. It is a command-line tool that can be used to build, test, and package software projects. GUN Make is a cross-platform tool that can be used on Windows, Linux, and macOS.

2. Installation

GUN Make can be installed on Windows, Linux, and macOS using the following steps:

  1. Download the latest release of GUN Make from the official website: https://www.github.com/amake/gunmake

  2. Extract the downloaded file and move the gunmake executable to a directory that is in the system PATH.

  3. Verify that GUN Make is installed by running the gunmake command in the terminal or command prompt.

3. Usage

GUN Make can be used to build, test, and package software projects by running the gunmake command in the terminal or command prompt. The gunmake command takes a command as an argument, which can be one of the following:

  • build: builds the software project.
  • test: runs the test suite of the software project.
  • package: packages the software project for distribution.

For example, to build a software project, run the following command:

gunmake build
 

To run the test suite of a software project, run the following command:

gunmake test
 

To package a software project for distribution, run the following command:

gunmake package
 

4. Configuration

GUN Make can be configured by creating a Makefile.yaml file in the root directory of the software project. The Makefile.yaml file contains the configuration for GUN Make, such as the build commands, test commands, and package commands.

Here is an example Makefile.yaml file:

build:
diff --git a/Web Framework/Django/index.html b/Web Framework/Django/index.html
index 2af338d..e06b6cf 100755
--- a/Web Framework/Django/index.html	
+++ b/Web Framework/Django/index.html	
@@ -1,4 +1,4 @@
- Django - Scheme MkDocs      

Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, such as database abstraction, URL routing, and templating. Django's documentation is excellent and provides a comprehensive guide to its features and functionality.

Django is known for its ease of use, high-level abstractions, and reusability. It's also fast, scalable, and secure. With Django, you can quickly build complex web applications with reusable, well-documented code.

Django is open-source, which means that the community is constantly adding new features and functionality. This makes it a popular choice for building large-scale web applications.

Django is known for its ability to handle complex database relationships and queries, which makes it a popular choice for building complex web applications. It also has a strong community of developers who contribute to its development and documentation.

Django is also known for its support for internationalization and localization, which makes it a popular choice for building multilingual web applications. It also has a large and active developer community, which makes it a popular choice for building enterprise-level web applications.

Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of web development, such as database abstraction, URL routing, and templating. Django's documentation is excellent and provides a comprehensive guide to its features and functionality.

Django is known for its ease of use, high-level abstractions, and reusability. It's also fast, scalable, and secure. With Django, you can quickly build complex web applications with reusable, well-documented code.

Django is open-source, which means that the community is constantly adding new features and functionality. This makes it a popular choice for building large-scale web applications.

Django is known for its ability to handle complex database relationships and queries, which makes it a popular choice for building complex web applications. It also has a strong community of developers who contribute to its development and documentation.

Django is also known for its support for internationalization and localization, which makes it a popular choice for building multilingual web applications. It also has a large and active developer community, which makes it a popular choice for building enterprise-level web applications.

Flask

Flask is a web framework written in Python. It is lightweight, easy to use, and provides a lot of features out of the box. It is also easy to learn and has a large community of developers who contribute to its development.

Flask

Flask is a web framework written in Python. It is lightweight, easy to use, and provides a lot of features out of the box. It is also easy to learn and has a large community of developers who contribute to its development.

MkDocs

MkDocs is a fast, simple and downright gorgeous static site generator that's geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file.

Getting Started

To get started with MkDocs, follow these steps:

  1. Install MkDocs:
pip install mkdocs
+ MkDocs - Scheme MkDocs      

MkDocs

MkDocs is a fast, simple and downright gorgeous static site generator that's geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file.

Getting Started

To get started with MkDocs, follow these steps:

  1. Install MkDocs:
pip install mkdocs
 
  1. Create a new directory for your project:
mkdir myproject
 
  1. Initialize a new MkDocs project:
cd myproject
 mkdocs new .
diff --git a/Web Framework/Streamlit/index.html b/Web Framework/Streamlit/index.html
index c62d24d..1e47a4f 100755
--- a/Web Framework/Streamlit/index.html	
+++ b/Web Framework/Streamlit/index.html	
@@ -1,4 +1,4 @@
- Streamlit - Scheme MkDocs      

Streamlit

Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In this section, we will learn how to use Streamlit to create a simple web app that displays a list of movies and their ratings.

Prerequisites

  1. Python 3.6 or later
  2. Streamlit library

Step 1: Install Streamlit

To install Streamlit, run the following command in your terminal:

pip install streamlit
+ Streamlit - Scheme MkDocs      

Streamlit

Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In this section, we will learn how to use Streamlit to create a simple web app that displays a list of movies and their ratings.

Prerequisites

  1. Python 3.6 or later
  2. Streamlit library

Step 1: Install Streamlit

To install Streamlit, run the following command in your terminal:

pip install streamlit
 

Step 2: Create a new Streamlit app

To create a new Streamlit app, run the following command in your terminal:

streamlit hello
 

This will create a new directory called my_first_app with a sample app. Open the app.py file in your text editor to see the code.

Step 3: Add a list of movies and their ratings

To add a list of movies and their ratings, replace the code in app.py with the following:

```python import streamlit as st

Create a list of movies and their ratings

Vue.js

Vue.js is a progressive framework for building user interfaces. It is designed from the ground up to be incrementally adoptable. The core library is focused on the view layer only, and is easy to pick up and integrate with other libraries or frameworks.

Getting Started

To get started with Vue.js, you can follow the official guide on their website:

Examples

Here are some examples of Vue.js applications:

Vue.js

Vue.js is a progressive framework for building user interfaces. It is designed from the ground up to be incrementally adoptable. The core library is focused on the view layer only, and is easy to pick up and integrate with other libraries or frameworks.

Getting Started

To get started with Vue.js, you can follow the official guide on their website:

Examples

Here are some examples of Vue.js applications:

Welcome to MkDocs

For full documentation visit mkdocs.org.

Commands

  • mkdocs new [dir-name] - Create a new project.
  • mkdocs serve - Start the live-reloading docs server.
  • mkdocs build - Build the documentation site.
  • mkdocs -h - Print help message and exit.

Project layout

mkdocs.yml    # The configuration file.
+ Scheme MkDocs      

Welcome to MkDocs

For full documentation visit mkdocs.org.

Commands

  • mkdocs new [dir-name] - Create a new project.
  • mkdocs serve - Start the live-reloading docs server.
  • mkdocs build - Build the documentation site.
  • mkdocs -h - Print help message and exit.

Project layout

mkdocs.yml    # The configuration file.
 docs/
     index.md  # The documentation homepage.
     ...       # Other markdown pages, images and other files.
diff --git a/sitemap.xml.gz b/sitemap.xml.gz
index 4059ef4..bcbece2 100755
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