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Open Source Society University

Main link - https://github.com/ossu/computer-science

Extra courses - https://github.com/ossu/computer-science/blob/master/extras/courses.md

Extra readings - https://github.com/ossu/computer-science/blob/master/extras/readings.md

The OSSU curriculum is a complete education in computer science using online materials. It's not merely for career training or professional development. It's for those who want a proper, well-rounded grounding in concepts fundamental to all computing disciplines, and for those who have the discipline, will, and (most importantly!) good habits to obtain this education largely on their own, but with support from a worldwide community of fellow learners.

It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the field of CS. The courses themselves are among the very best in the world, often coming from Harvard, Princeton, MIT, etc., but specifically chosen to meet the following criteria.

Intro CS: Python for Everybody
1. https://www.py4e.com/lessons
Intro CS: Introduction to Computer Science and Programming using Python
Core CS
- Core CS assumes the student has already taken high school math, including algebra, geometry, and pre-calculus.
Core CS: Core programming: How to Code - Simple Data
1. https://www.edx.org/course/how-to-code-simple-data
Core CS: Core programming: How to Code - Complex Data
1. https://www.edx.org/course/how-to-code-complex-data
Core CS: Core programming: Programming Languages, Part A
1. https://www.coursera.org/learn/programming-languages
Core CS: Core programming: Programming Languages, Part B
1. https://www.coursera.org/learn/programming-languages-part-b
Core CS: Core programming: Programming Languages, Part C
1. https://www.coursera.org/learn/programming-languages-part-c
Core CS: Core programming: Object-Oriented Design
1. https://www.youtube.com/watch?v=GoXwIVyNvX0
2. https://www.coursera.org/learn/object-oriented-design
Core CS: Core programming: Design Patterns
1. https://www.coursera.org/learn/design-patterns
Core CS: Core programming: Software Architecture
1. https://www.coursera.org/learn/software-architecture
Core CS: Core math: Calculus 1A: Differentiation
1. https://github.com/ossu/computer-science/blob/master/FAQ.md#how-can-i-review-the-math-prerequisites https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.1x+2T2019/about
2. https://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/index.htm
Core CS: Core math: Calculus 1B: Integration
1. https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.2x+3T2019/about
Core CS: Core math: Calculus 1C: Coordinate Systems & Infinite Series
1. https://openlearninglibrary.mit.edu/courses/course-v1:MITx+18.01.3x+1T2020/about
Core CS: Core math: Calculus 1C: Coordinate Systems & Infinite Series
Core CS: Core math: Calculus 1C: Mathematics for Computer Science
1. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/index.htm
2. https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/abou
!!!
1. https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2005/assignments/
2. https://www.coursera.org/specializations/discrete-mathematics
Core CS: Core tools: The Missing Semester of Your CS Education
1. https://missing.csail.mit.edu/
Core CS: Core systems: Build a Modern Computer from First Principles: From Nand to Tetris
1. https://www.nand2tetris.org/
2. https://www.coursera.org/learn/build-a-computer
Core CS: Core systems: Build a Modern Computer from First Principles: Nand to Tetris Part II
1. https://www.coursera.org/learn/nand2tetris2
Core CS: Core systems: Operating Systems: Three Easy Pieces
1. https://pages.cs.wisc.edu/~remzi/Classes/537/Spring2018/
Core CS: Core systems: Computer Networking: a Top-Down Approach
1. http://gaia.cs.umass.edu/kurose_ross/wireshark.php
2. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
Core CS: Core theory: Divide and Conquer, Sorting and Searching, and Randomized Algorithms
1. https://www.coursera.org/learn/algorithms-divide-conquer
Core CS: Core theory: Graph Search, Shortest Paths, and Data Structures
1. https://www.coursera.org/learn/algorithms-graphs-data-structures
Core CS: Core theory: Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
1. https://www.coursera.org/learn/algorithms-greedy
Core CS: Core theory: Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
1. https://www.coursera.org/learn/algorithms-npcomplete
Core CS: Core Security
Core CS: Core Security
Core CS: Core Security
Core CS: Core Security
Core CS: Core Security
Core CS: Core Application
Core CS: Core Application
Core CS: Core Application
Core CS: Core Application
Core CS: Core Application
Core CS: Core Application
Core CS: Core Ethics
Core CS: Core Ethics
Core CS: Core Ethics
Advanced CS
- Advanced CS assumes the student has already taken the entirety of Core CS and is knowledgeable enough now to decide which electives to take.
- Note that Advanced systems assumes the student has taken a basic physics course (e.g. AP Physics in high school).
Advanced CS: Advanced programming
Advanced CS: Advanced programming
Advanced CS: Advanced programming
Advanced CS: Advanced programming
Advanced CS: Advanced programming
Advanced CS: Advanced systems
Advanced CS: Advanced systems
Advanced CS: Advanced systems
Advanced CS: Advanced theory
Advanced CS: Advanced theory
Advanced CS: Advanced theory
Advanced CS: Advanced math
Advanced CS: Advanced math
Advanced CS: Advanced math
Advanced CS: Advanced math
Advanced CS: Advanced math
Final project
Final project
Final project
Final project
Final project
Final project
Final project
Final project
Final project

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26 січня 2022, 18:58

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anrgl

Open Source Society University

Intro CS: Python for Everybody

Intro CS: Introduction to Computer Science and Programming using Python

Core CS

Core CS: Core programming: How to Code - Simple Data

Core CS: Core programming: How to Code - Complex Data

Core CS: Core programming: Programming Languages, Part A

Core CS: Core programming: Programming Languages, Part B

Core CS: Core programming: Programming Languages, Part C

Core CS: Core programming: Object-Oriented Design

Core CS: Core programming: Design Patterns

Core CS: Core programming: Software Architecture

Core CS: Core math: Calculus 1A: Differentiation

Core CS: Core math: Calculus 1B: Integration

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