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330 lines
10 KiB
Markdown
330 lines
10 KiB
Markdown
# Change Log
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All notable changes to this project will be documented in this file.
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This project adheres *in spirit* to [Semantic Versioning](http://semver.org/):
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- "MAJOR" updates correspond to changing the topics studied within a subject
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- "MINOR" updates correspond to changing courses without changing the topics
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- "PATCH" updates correspond to aesthetic and non-essential additions/removals or changing order of classes for better progression
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## [8.0.0] 2017-11-01
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### Added
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- extras/readings: "The System Design Primer"
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- extras/readings: "Category Theory for Programmers: The Preface"
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- extras/readings: "Programming Languages: Application and Interpretation"
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- extras/readings: "Programming and Programming Languages"
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- CONTRIBUTING: "Learning Git" section to the contributor guidelines page
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- Core Math: Added "Essence of Linear Algebra" as pre-requisite to "Linear Algebra: Foundations to Frontiers"
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### Updated
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- Moved "Introduction to Mathematical Thinking" to extras/courses
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- Moved "Hack the Kernel" (ops-class) from Advanced Systems to Core Systems
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- Core Systems: "Operating Systems: Three Easy Pieces" is no longer required, but is recommended as companion text to "Hack the Kernel"
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- Core Theory: Replaced Coursera with Lagunita as the host for Stanford Algorithms, since Coursera uses dark patterns to trick users into paying
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## [7.2.2] 2017-07-02
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### Added
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- "Haskell Programming from First Principles" book as a paid alternative to learn Haskell
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- "Think Python" to extras/readings
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- FAQ entries and links under relevant courses
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- "Category Theory: A Gentle Introduction" to extras/readings
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## [7.2.1] 2017-05-14
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### Updated
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- Networking course should take 8 weeks to complete
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- Fixed spelling error
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### Added
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- Introduction to Haskell course to [extras/courses](extras/courses.md)
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## [7.2.0] 2017-04-28
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### Added
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- Software Testing course
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- Link to Stanford Lagunita's Algorithms: Design and Analysis
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- Added link to the section on parametric equations and polar coordinates from MIT's Single Variable Calculus course in order to properly prepare students for Multivariable Calculus
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## [7.1.2] 2017-04-22
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### Updated
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- Add link to Mega Project List in the introduction of the Projects section
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## [7.1.1] 2017-04-11
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### Updated
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- Final touch to release
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## [7.1.0] 2017-04-10
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### Updated
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- Reverted reformat of programming languages course
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### Added
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- Reliable Distributed Algorithms courses
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- New Introduction to CS course
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## [7.0.2] 2017-03-30
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### Updated
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- Moved optional online learning courses to extras/courses in a new section
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- Moved alternate computer architecture course to extras/courses
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### Added
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- Scala specialization under Advanced applications
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### Removed
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- Removed all but one choice for required readings to make the curriculum simpler
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## [7.0.1] 2017-03-11
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### Updated
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- Fixed link to Bradfield's DIY computer science page
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### Added
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- Note under Calculus One with links to errata and course progression recommendations
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- Optional courses under extras:
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- Strang's course on linear algebra
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- Berkeley's Structure and Interpretation of Computer Programs
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- Optional readings under extras:
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- Van Roy's advanced programming book
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- P&H's computer architecture book
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- Skiena's algorithms book
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- Strang's linear algebra book
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- Database Management Systems book
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- Tarr's book on creating your own Domain-specific language
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- Readings from various authors on distributed systems
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## [7.0] 2017-03-09
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Complete overhaul of program structure
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### Updated
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- Clarified contributor guidelines and moved them to separated file
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- Switched from many subjects to just four subjects with many topics
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- Consolidated free-books.md and paid-books.md into readings.md
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- Consolidated free-courses.md and paid-courses.md into courses.md
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- Replace old "How to Code" with new "How to Code" (Software Development MicroMasters)
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- Replace Princeton Algorithms (moved to [alternative courses](#extras/courses.md)) with Stanford Algorithms
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### Added
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- Indicate prerequisites for all courses
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- Requirements: subject/topic requirements and project requirements
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- Required readings on Haskell, Prolog, Operating Systems
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- Courses: Dan Grossman's Programming Languages
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- Courses: From Nand to Tetris
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- Elective course: Intro to Parallel Programming
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- Elective course: LAFF: Programming for Correctness
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- Elective course: Introduction to Mathematical Thinking
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- Elective courses: Electricity and Magnetism
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- Elective courses: MIT's Computation Structures
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- Elective course: Multivariable Calculus
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- Elective course: ops-class.org
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- Elective course: Automata Theory
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- Elective course: Introduction to Logic
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- Elective course: Computational Geometry
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- Elective course: Formal Concept Analysis
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- Elective course: Game Theory
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- Elective specializations:
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- Robotics
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- Data Mining
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- Big Data
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- Internet of Things
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- Cloud Computing
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- Full Stack Web Development
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- Data Science
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- Pro specializations:
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- Mastering Software Development in R
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- Artificial Intelligence Engineer
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- Machine Learning Engineer
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- Cybersecurity
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- Android Developer
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### Removed
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- Removed many dead links and obsolete courses
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- Removed per-course project requirement
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- Course: Object-Oriented Programming in Java
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- Course: Functional Programming in Scala
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- Course: Computer Architecture (but left as a footnote)
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- Course: Intro to Theoretical Computer Science
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- Course: Software Processes and Agile Practices
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- Course: Operating Systems & System Programming
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- Course: Introduction to Cyber Security
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- Course: Parallel Computer Architecture and Programming
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- Course: UX Design for Mobile Developers
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## [6.0] 2016-10-09
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### Updated
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- Put Calculus One before and together with Mathematics for Computer Science
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- Improve text in "Order of the classes"
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### Added
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- Create public Trello board with the new curriculum version
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- Create the section "How to track and show your progress" in "How to use this guide"
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- Add PROJECTS.md file
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- Copy all sections of curriculum to PROJECTS.md
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### Removed
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- Remove "Next Goals" section
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- Remove reference to OSSU web app
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## [5.1.0] 2016-08-20
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Update to latest version of Math for Computer Science:
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### Updated
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- Section: **Math (Discrete Math)**
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- Mathematics for Computer Science
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## [5.0.0] 2016-08-20
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Due to removed course, we had the following updates:
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### Removed
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- Section: **Natural Language Processing**
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- Natural Language Processing
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### Added
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- Section: **Natural Language Processing**
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- Introduction to Natural Language Processing
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## [4.1.0] 2016-08-05
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Due to Coursera's platform changes, we had the following updates:
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### Fixed
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- Section: **Big Data**
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- Introduction to Big Data
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## [4.0.0] 2016-07-30
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Due to Coursera's platform changes, we had the following updates:
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### Removed
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- Section: **Theory**
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- Automata
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- Section: **Math (Linear Algebra)**
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- Coding the Matrix: Linear Algebra through Computer Science Applications
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- Section: **Parallel Computing**
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- Heterogeneous Parallel Programming
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- Section: **Natural Language Processing**
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- Natural Language Processing
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### Fixed
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- Section: **Computer Networks**
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- Computer Networks
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- Section: **Compilers**
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- Compilers
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### Added
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- Section: **Theory**
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- Intro to Theoretical Computer Science
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- Section: **Math (Linear Algebra)**
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- Linear Algebra - Foundations to Frontiers
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- Section: **Parallel Computing**
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- Parallel Computer Architecture and Programming
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- Section: **Natural Language Processing**
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- Natural Language Processing
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## [3.0.0] 2016-05-04
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### Removed
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- Section: **Introduction to Computer Science**:
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- Introduction to Computer Science and Programming Using Python
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- From Nand to Tetris (Part 1)
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### Added
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- Section: **Introduction to Computer Science**:
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- Introduction to Computer Science - CS50
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## [2.0.1] 2016-04-04
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### Fixed
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- Now students should enroll through our [web app](https://ossu.firebaseapp.com).
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## [2.0.0] 2016-03-17
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### Fixed
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- Program Design section course's names and links
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### Removed
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- **Introduction to Computer Science**:
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- Introduction to Computer Science
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- Introduction to Computational Thinking and Data Science
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- **Algorithms**
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- Analysis of Algorithms
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- **Programming Paradigms**
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- Principles of Reactive Programming
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- **Math (Calculus)**
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- Multivariable Calculus
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- **Software Architecture**:
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- Web Application Architectures
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- **Software Engineering**:
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- Agile Development Using Ruby on Rails - Basics
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- Agile Development Using Ruby on Rails - Advanced
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- Startup Engineering
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- **Computer Architecture**:
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- The Hardware/Software Interface
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- **Operating Systems**:
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- Operating System Engineering
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- **Computer Networks**:
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- Introduction to Computer Networking
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- **Cryptography**:
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- Applied Cryptography
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**ps**: These removed courses are now in the [extras](https://github.com/ossu/computer-science/tree/master/extras) section.
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## [1.3.12] 2016-03-17
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### Added
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- How to collaborate: send new links to the extras section
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## [1.3.11] 2016-03-06
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### Fixed
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- Nand to Tetris: change name and url
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- UC Berkeley Agile development: change name and url
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- Direct links to specializations
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## [1.3.10] 2016-03-06
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### Fixed
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- Link from Systematic Program Design Part 2 course
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## [1.3.9] 2015-11-09
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### Fixed
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- Link for the correct Natural Language Processing course
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## [1.3.8] 2015-11-07
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### Added
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- Add "Project Suggestions" section with more references
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## [1.3.7] 2015-11-01
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### Removed
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- Removed project.md file, moved to **help** repo
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## [1.3.6] 2015-10-22
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### Added
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- Latest version of CS 162, Operating Systems and System Programming
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## [1.2.6] 2015-10-19
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### Added
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- Badge/Link to the Awesome list
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## [1.2.5] 2015-10-16
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### Fixed
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- Fix name of the section and add a hyperlink to it.
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## [1.2.4] 2015-10-14
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### Removed
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- Removed citation about public commitment
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## [1.2.3] 2015-10-12
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### Changed
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- Updated the prerequisite section for more clarity
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## [1.2.2] 2015-10-12
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### Fixed
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- New link to issue intended for students' enrollment
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## [1.2.1] 2015-10-11
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### Added
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- Article Git - the simple guide to the prerequisite section
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##[1.1.1] 2015-10-11
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### Fixed
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- Fix typos
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- As MOOC is a "Massive Open Online Course" MOOC course is redundant
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- Elaborated on "real problem"
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- Fixed a few small grammatical and wording errors
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## [1.1.0] 2015-10-08
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### Added
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- Motivation & Preparation section (optional resources)
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- Article: MIT Challenge
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- Course: Learning How to Learn
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## [1.0.0] 2015-10-08
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Release of the first **complete** version of the Computer Science curriculum
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