All notable changes to this project will be documented in this file. This project adheres in spirit to Semantic Versioning:
- "MAJOR" updates correspond to changing the topics studied within a subject
- "MINOR" updates correspond to changing courses without changing the topics
- "PATCH" updates correspond to aesthetic and non-essential additions/removals or changing order of classes for better progression
- "Haskell Programming from First Principles" book as a paid alternative to learn Haskell
- "Think Python" to extras/readings
- FAQ entries and links under relevant courses
- "Category Theory: A Gentle Introduction" to extras/readings
- Networking course should take 8 weeks to complete
- Fixed spelling error
- Introduction to Haskell course to extras/courses
- Software Testing course
- Link to Stanford Lagunita's Algorithms: Design and Analysis
- 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
- Add link to Mega Project List in the introduction of the Projects section
- Final touch to release
- Reverted reformat of programming languages course
- Reliable Distributed Algorithms courses
- New Introduction to CS course
- Moved optional online learning courses to extras/courses in a new section
- Moved alternate computer architecture course to extras/courses
- Scala specialization under Advanced applications
- Removed all but one choice for required readings to make the curriculum simpler
- Fixed link to Bradfield's DIY computer science page
- Note under Calculus One with links to errata and course progression recommendations
- Optional courses under extras:
- Strang's course on linear algebra
- Berkeley's Structure and Interpretation of Computer Programs
- Optional readings under extras:
- Van Roy's advanced programming book
- P&H's computer architecture book
- Skiena's algorithms book
- Strang's linear algebra book
- Database Management Systems book
- Tarr's book on creating your own Domain-specific language
- Readings from various authors on distributed systems
Complete overhaul of program structure
- Clarified contributor guidelines and moved them to separated file
- Switched from many subjects to just four subjects with many topics
- Consolidated free-books.md and paid-books.md into readings.md
- Consolidated free-courses.md and paid-courses.md into courses.md
- Replace old "How to Code" with new "How to Code" (Software Development MicroMasters)
- Replace Princeton Algorithms (moved to alternative courses) with Stanford Algorithms
- Indicate prerequisites for all courses
- Requirements: subject/topic requirements and project requirements
- Required readings on Haskell, Prolog, Operating Systems
- Courses: Dan Grossman's Programming Languages
- Courses: From Nand to Tetris
- Elective course: Intro to Parallel Programming
- Elective course: LAFF: Programming for Correctness
- Elective course: Introduction to Mathematical Thinking
- Elective courses: Electricity and Magnetism
- Elective courses: MIT's Computation Structures
- Elective course: Multivariable Calculus
- Elective course: ops-class.org
- Elective course: Automata Theory
- Elective course: Introduction to Logic
- Elective course: Computational Geometry
- Elective course: Formal Concept Analysis
- Elective course: Game Theory
- Elective specializations:
- Robotics
- Data Minig
- Big Data
- Internet of Things
- Cloud Computing
- Full Stack Web Development
- Data Science
- Pro specializations:
- Mastering Software Development in R
- Artificial Intelligence Engineer
- Machine Learning Engineer
- Cybersecurity
- Android Developer
- Removed many dead links and obsolete courses
- Removed per-course project requirement
- Course: Object-Oriented Programming in Java
- Course: Funtional Programming in Scala
- Course: Computer Architecture (but left as a footnote)
- Course: Intro to Theoretical Computer Science
- Course: Software Processes and Agile Practices
- Course: Operating Systems & System Programming
- Course: Introduction to Cyber Security
- Course: Parallel Computer Architecture and Programming
- Course: UX Design for Mobile Developers
- Put Calculus One before and together with Mathematics for Computer Science
- Improve text in "Order of the classes"
- Create public Trello board with the new curriculum version
- Create the section "How to track and show your progress" in "How to use this guide"
- Add PROJECTS.md file
- Copy all sections of curriculum to PROJECTS.md
- Remove "Next Goals" section
- Remove reference to OSSU web app
Update to latest version of Math for Computer Science:
- Section: Math (Discrete Math)
- Mathematics for Computer Science
Due to removed course, we had the following updates:
- Section: Natural Language Processing
- Natural Language Processing
- Section: Natural Language Processing
- Introduction to Natural Language Processing
Due to Coursera's platform changes, we had the following updates:
- Section: Big Data
- Introduction to Big Data
Due to Coursera's platform changes, we had the following updates:
- Section: Theory
- Automata
- Section: Math (Linear Algebra)
- Coding the Matrix: Linear Algebra through Computer Science Applications
- Section: Parallel Computing
- Heterogeneous Parallel Programming
- Section: Natural Language Processing
- Natural Language Processing
- Section: Computer Networks
- Computer Networks
- Section: Compilers
- Compilers
- Section: Theory
- Intro to Theoretical Computer Science
- Section: Math (Linear Algebra)
- Linear Algebra - Foundations to Frontiers
- Section: Parallel Computing
- Parallel Computer Architecture and Programming
- Section: Natural Language Processing
- Natural Language Processing
- Section: Introduction to Computer Science:
- Introduction to Computer Science and Programming Using Python
- From Nand to Tetris (Part 1)
- Section: Introduction to Computer Science:
- Introduction to Computer Science - CS50
- Now students should enroll through our web app.
- Program Design section course's names and links
- Introduction to Computer Science:
- Introduction to Computer Science
- Introduction to Computational Thinking and Data Science
- Algorithms
- Analysis of Algorithms
- Programming Paradigms
- Principles of Reactive Programming
- Math (Calculus)
- Multivariable Calculus
- Software Architecture:
- Web Application Architectures
- Software Engineering:
- Agile Development Using Ruby on Rails - Basics
- Agile Development Using Ruby on Rails - Advanced
- Startup Engineering
- Computer Architecture:
- The Hardware/Software Interface
- Operating Systems:
- Operating System Engineering
- Computer Networks:
- Introduction to Computer Networking
- Cryptography:
- Applied Cryptography
ps: These removed courses are now in the extras section.
- How to collaborate: send new links to the extras section
- Nand to Tetris: change name and url
- UC Berkeley Agile development: change name and url
- Direct links to specializations
- Link from Systematic Program Design Part 2 course
- Link for the correct Natural Language Processing course
- Add "Project Suggestions" section with more references
- Removed project.md file, moved to help repo
- Latest version of CS 162, Operating Systems and System Programming
- Badge/Link to the Awesome list
- Fix name of the section and add a hyperlink to it.
- Removed citation about public commitment
- Updated the prerequisite section for more clarity
- New link to issue intended for students' enrollment
- Article Git - the simple guide to the prerequisite section
##[1.1.1] 2015-10-11
- Fix typos
- As MOOC is a "Massive Open Online Course" MOOC course is redundant
- Elaborated on "real problem"
- Fixed a few small grammatical and wording errors
- Motivation & Preparation section (optional resources)
- Article: MIT Challenge
- Course: Learning How to Learn
Release of the first complete version of the Computer Science curriculum