├── .gitignore ├── OLD-README.md └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .idea 2 | *.swp 3 | *.swo -------------------------------------------------------------------------------- /OLD-README.md: -------------------------------------------------------------------------------- 1 | ![Science](http://i.imgur.com/U3Y68Ha.jpg) 2 | 3 | ## References 4 | 5 | - [MIT Open Courseware](http://ocw.mit.edu/courses/#electrical-engineering-and-computer-science) 6 | - [Google - Guide for Technical Development](https://www.google.com/about/careers/students/guide-to-technical-development.html) 7 | - [Coursera](https://www.coursera.org/) 8 | - [How can I prepare myself to be a software engineer?](http://qr.ae/fMbg8) 9 | 10 | ## Tips 11 | 12 | If you want to follow this path, [here](https://github.com/ericdouglas/computer-science-and-engineering/issues/1) are some tips! Share your tips with us too! 13 | 14 | ## Topics 15 | 16 | - [Computer Science](#computer-science) 17 | - [Software Testing](#software-testing) 18 | - [Math](#math) 19 | - [Operating Systems](#operating-systems) 20 | - [Networks](#networks) 21 | - [Databases](#databases) 22 | - [Cryptography](#cryptography) 23 | - [Compilers](#compilers) 24 | - [Artificial Intelligence](#artificial-intelligence) 25 | - [Machine Learning](#machine-learning) 26 | - [Natural Language Processing](#natural-language-processing) 27 | - [Robotics](#robotics) 28 | - [Graphs](#graphs) 29 | - [Data Mining](#data-mining) 30 | - [Parallel Programming](#parallel-programming) 31 | - [Programming Languages](#programming-languages) 32 | - [Others](#others) 33 | 34 | ### Computer Science 35 | 36 | 1. [Introduction to Computer Science and Programming](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/) - [⎙](/computer-science/01-introduction-to-cs-and-programming-mit) 37 | 1. [Computer Science 101 - Stanford](https://lagunita.stanford.edu/courses/Engineering/CS101/Summer2014/about) / [Other files](http://web.stanford.edu/class/cs101/) - [⎙](/computer-science/02-stanford-computer-science-101) 38 | 1. [Systematic Program Design - Part 1: The Core Method](https://www.edx.org/course/systematic-program-design-part-1-core-ubcx-spd1x#!) 39 | 1. [Systematic Program Design - Part 2: Arbitrary Sized Data](https://www.edx.org/course/systematic-program-design-part-2-ubcx-spd2x) 40 | 1. [Systematic Program Design - Part 3: Arbitrary Sized Data](https://www.edx.org/course/systematic-program-design-part-3-ubcx-spd3x) 41 | 1. [Fundamentals of Computing](https://www.coursera.org/specialization/fundamentalscomputing2/37/certificate) 42 | 1. [An Introduction to Interactive Programming in Python (Part 1)](https://www.coursera.org/course/interactivepython1) - [⎙](/computer-science/) 43 | 1. [An Introduction to Interactive Programming in Python (Part 2)](https://www.coursera.org/course/interactivepython2) - [⎙](/computer-science/) 44 | 1. [Principles of Computing (Part 1)](https://www.coursera.org/course/principlescomputing1) - [⎙](/computer-science/) 45 | 1. [Principles of Computing (Part 2)](https://www.coursera.org/course/principlescomputing2) - [⎙](/computer-science/) 46 | 1. [Algorithmic Thinking (Part 1)](https://www.coursera.org/course/algorithmicthink1) - [⎙](/computer-science/) 47 | 1. [Algorithmic Thinking (Part 2)](https://www.coursera.org/course/algorithmicthink2) - [⎙](/computer-science/) 48 | 1. [Structure and Interpretation of Computer Programs](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/) - [⎙]() 49 | 1. [Elements of Software Construction](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-005-elements-of-software-construction-fall-2011/) - [⎙]() 50 | 1. [Introduction to Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/) - [⎙]() 51 | 1. [Design and Analysis of Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/) - [⎙]() 52 | 1. [Principles of Reactive Programming](https://www.coursera.org/course/reactive) - [⎙]() 53 | 1. [Paradigms of Computer Programming – Fundamentals](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-1x-0) - [⎙]() 54 | 1. [Paradigms of Computer Programming – Abstraction and Concurrency](https://www.edx.org/course/paradigms-computer-programming-louvainx-louv1-2x-0) - [⎙]() 55 | 1. [Computer System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-033-computer-system-engineering-spring-2009/) - [⎙]() 56 | 1. [Computer Language Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-035-computer-language-engineering-spring-2010/) - [⎙]() 57 | 1. [Great Ideas in Theoretical Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-080-great-ideas-in-theoretical-computer-science-spring-2008/) - [⎙]() 58 | 1. [Performance Engineering of Software Systems](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2010/) - [⎙]() 59 | 1. [Engineering Innovation and Design](http://ocw.mit.edu/courses/engineering-systems-division/esd-051j-engineering-innovation-and-design-fall-2012/) - [⎙]() 60 | 1. [Principles of Computer System Design: An Introduction](http://ocw.mit.edu/resources/res-6-004-principles-of-computer-system-design-an-introduction-spring-2009/) - [⎙]() 61 | 1. [How to Process, Analyze and Visualize Data](http://ocw.mit.edu/resources/res-6-009-how-to-process-analyze-and-visualize-data-january-iap-2012/) - [⎙]() 62 | 1. [Advanced Data Structures](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-851-advanced-data-structures-spring-2012/) - [⎙]() 63 | 1. [Advanced Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-854j-advanced-algorithms-fall-2008/) - [⎙]() 64 | 1. [Distributed Algorithms](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-852j-distributed-algorithms-fall-2009/) - [⎙]() 65 | 66 | ### Software Testing 67 | 68 | 1. [Software Testing](https://www.udacity.com/course/software-testing--cs258) - [⎙]() 69 | 1. [Software Debugging](https://www.udacity.com/course/software-debugging--cs259) - [⎙]() 70 | 71 | ### Math 72 | 73 | 1. [Mathematics for Computer Science](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/) - [⎙]() 74 | 1. [Introduction to Logic](https://www.coursera.org/course/intrologic) - [⎙]() 75 | 1. [Linear Algebra](http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/) - [⎙]() 76 | 1. [Coding the Matrix: Linear Algebra through Computer Science Applications](https://www.coursera.org/course/matrix) - [⎙]() 77 | 1. [Calculus One](https://www.coursera.org/learn/calculus1) - [⎙]() 78 | 1. [Calculus Two](https://www.coursera.org/learn/advanced-calculus) - [⎙]() 79 | 1. [Linear and Discrete Optimization](https://www.coursera.org/course/linearopt) - [⎙]() 80 | 1. [Probabilistic Graphical Models](https://www.coursera.org/course/pgm) - [⎙]() 81 | 1. [Game Theory](https://www.coursera.org/course/gametheory) - [⎙]() 82 | 1. [Statistics One](https://www.coursera.org/course/stats1) - [⎙]() 83 | 1. [AP Statistics](http://stattrek.com/tutorials/ap-statistics-tutorial.aspx) - [⎙]() 84 | 85 | ### Operating Systems 86 | 87 | 1. [Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/) - [⎙]() 88 | 1. [Operating Systems and System Programming](https://www.youtube.com/watch?v=XgQo4JkN4Bw&list=PL3289DD0D0F0CD4A3) - [⎙]() 89 | 90 | ### Networks 91 | 92 | 1. [Networks](http://ocw.mit.edu/courses/economics/14-15j-networks-fall-2009/) - [⎙]() 93 | 1. [Network and Computer Security](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-857-network-and-computer-security-spring-2014/) - [⎙]() 94 | 1. [Network Optimization](http://ocw.mit.edu/courses/sloan-school-of-management/15-082j-network-optimization-fall-2010/) - [⎙]() 95 | 96 | ### Databases 97 | 98 | 1. [Database Systems](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-830-database-systems-fall-2010/) - [⎙]() 99 | 1. [Database, Internet, and Systems Integration Technologies](http://ocw.mit.edu/courses/civil-and-environmental-engineering/1-264j-database-internet-and-systems-integration-technologies-fall-2013/) - [⎙]() 100 | 101 | ### Cryptography 102 | 103 | 1. [Cryptography I](https://www.coursera.org/course/crypto) - [⎙]() 104 | 1. [Applied Cryptography](https://www.udacity.com/course/applied-cryptography--cs387) - [⎙]() 105 | 106 | ### Compilers 107 | 108 | 1. [Compilers](https://www.coursera.org/course/compilers) - [⎙]() 109 | 110 | ### Artificial Intelligence 111 | 112 | 1. [Artificial Intelligence](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/) - [⎙]() 113 | 114 | ### Machine Learning 115 | 116 | 1. [Practical Machine Learning](https://www.coursera.org/course/predmachlearn) - [⎙]() 117 | 1. [Machine Learning](https://www.coursera.org/learn/machine-learning) - [⎙]() 118 | 1. [Neural Networks for Machine Learning](https://www.coursera.org/course/neuralnets) - [⎙]() 119 | 120 | ### Natural Language Processing 121 | 122 | 1. [Natural Language Processing](https://www.coursera.org/course/nlangp) - [⎙]() 123 | 1. [Natural Language Processing](https://www.coursera.org/course/nlp) - [⎙]() 124 | 125 | ### Robotics 126 | 127 | ### Graphs 128 | 129 | ### Data Mining 130 | 131 | 1. [Data Mining](https://www.coursera.org/specialization/datamining/20?utm_medium=catalog) - [⎙]() 132 | 133 | ### Parallel Programming 134 | 135 | 1. [Parallel Computing](http://ocw.mit.edu/courses/mathematics/18-337j-parallel-computing-fall-2011/) - [⎙]() 136 | 1. [Heterogeneous Parallel Programming](https://www.coursera.org/course/hetero) - [⎙]() 137 | 138 | ### Programming Languages 139 | 140 | 1. [Practical Programming in C](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-087-practical-programming-in-c-january-iap-2010/) - [⎙]() 141 | 1. [Introduction to C Memory Management and C++ Object-Oriented Programming](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-088-introduction-to-c-memory-management-and-c-object-oriented-programming-january-iap-2010/) - [⎙]() 142 | 1. [Effective Programming in C and C++](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s096-effective-programming-in-c-and-c-january-iap-2014/) - [⎙]() 143 | 144 | ### Others 145 | 146 | 1. [Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x#!) 147 | 1. [Engineering Software as a Service](https://www.edx.org/course/engineering-software-service-uc-berkeleyx-cs169-1x) 148 | 1. [Engineering Software as a Service, Part 2](https://www.edx.org/course/engineering-software-service-part-2-uc-berkeleyx-cs169-2x#!) 149 | 1. [Automata, Computability, and Complexity](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-045j-automata-computability-and-complexity-spring-2011/) - [⎙]() 150 | 1. [Computational Biology: Genomes, Networks, Evolution](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-047-computational-biology-genomes-networks-evolution-fall-2008/) - [⎙]() 151 | 1. [Creating Video Games](http://ocw.mit.edu/courses/comparative-media-studies-writing/cms-611j-creating-video-games-fall-2013/) - [⎙]() 152 | 1. [Computer Graphics](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-837-computer-graphics-fall-2012/) - [⎙]() 153 | 1. [User Interface Design and Implementation](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-831-user-interface-design-and-implementation-spring-2011/) - [⎙]() 154 | 1. [Making Sense of Data](https://datasense.withgoogle.com/course) - [⎙]() 155 | 1. [Data Science](https://www.coursera.org/specialization/jhudatascience/1?utm_medium=courseDescripTop) - [⎙]() 156 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | ![open source society university](http://i.imgur.com/h8xjrrj.png) 3 | 4 | :mortar_board: **Path to a free self-taught graduation in Computer Science!** 5 | 6 | ## Contents 7 | 8 | - [About](#about) 9 | - [Becoming an OSS student](#becoming-an-oss-student) 10 | - [Curriculum](#curriculum) 11 | - [How to use this guide](#how-to-use-this-guide) 12 | - [Prerequisite](#prerequisite) 13 | - [How to collaborate](#how-to-collaborate) 14 | - [Community](#community) 15 | - [Next Goals](#next-goals) 16 | - [References](#references) 17 | 18 | ## About 19 | 20 | This is a **solid path** for those of you who want to complete a Computer Science course on your own time, **for free**, with courses from the **best universities** in the World. 21 | 22 | In the future, more categories and/or courses will be added to this list or a more advanced/specialized list. 23 | 24 | Initially, we will also give preference to MOOC (Massive Open Online Course) type of courses because those courses were created with our style of learning in mind. 25 | 26 | ## Becoming an OSS student 27 | 28 | To officially register for this course you must create a profile in our [students profile](https://github.com/open-source-society/computer-science-and-engineering/issues/31) issue. 29 | 30 | > **"How can I do this?"** 31 | 32 | Comment in [this](https://github.com/open-source-society/computer-science-and-engineering/issues/31) issue (please, do **not** open a new one) using the following template: 33 | 34 | ``` 35 | - **Name**: YOUR NAME 36 | - **GitHub**: [@your_username]() 37 | - **Twitter**: [@your_username]() 38 | - **Linkedin**: [link]() 39 | - **Website**: [yourblog.com]() 40 | 41 | ## Completed Courses 42 | 43 | **Name of the Section** 44 | 45 | Course|Files 46 | :--|:--: 47 | Course Name| [link]() 48 | ``` 49 | 50 | **IMPORTANT**: add your profile **only once** and **after** you **finish** each course you can **return** to that issue and **update** your comment. 51 | 52 | **ps**: In the *Completed Courses* section, you should link the repository that contains the files that you created in the respective course. 53 | 54 | > **"Why should I do this?"** 55 | 56 | By making a [public commitment](http://renewablewealth.com/articles/the-power-of-a-public-commitment/), we have a greater chance of **successfully** graduating, a way to get to know our peers better, and an opportunity to share the things that we have done. 57 | 58 | That is why we are using this strategy. 59 | 60 | --- 61 | 62 | ## Curriculum 63 | 64 | - [Introduction](#introduction) 65 | - [Program Design](#program-design) 66 | - [Algorithms](#algorithms) 67 | - [Programming Paradigms](#programming-paradigms) 68 | - [Software Testing](#software-testing) 69 | - [Math](#math) 70 | - [Software Architecture](#software-architecture) 71 | - [Software Engineering](#software-engineering) 72 | - [Operating Systems](#operating-systems) 73 | - [Computer Networks](#computer-networks) 74 | - [Databases](#databases) 75 | - [Cloud Computing](#cloud-computing) 76 | - [Cryptography](#cryptography) 77 | - [Compilers](#compilers) 78 | - [UX Design](#ux-design) 79 | - [Artificial Intelligence](#artificial-intelligence) 80 | - [Machine Learning](#machine-learning) 81 | - [Natural Language Processing](#natural-language-processing) 82 | - [Big Data](#big-data) 83 | - [Data Mining](#data-mining) 84 | 85 | --- 86 | 87 | ### Introduction 88 | 89 | Course|Duration 90 | :--|:--: 91 | [Introduction to Computer Science](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!)| 9 ~ 15 weeks 92 | [Introduction to Computer Science and Programming Using Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-5#!)| 9 weeks 93 | [Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-2#!)| 10 weeks 94 | 95 | ### Program Design 96 | 97 | Course|Duration 98 | :--|:--: 99 | [Systematic Program Design- Part 1: The Core Method](https://www.edx.org/course/systematic-program-design-part-1-core-ubcx-spd1x-0)| 5 weeks 100 | [Systematic Program Design- Part 2: Arbitrary Sized Data](https://www.edx.org/course/systematic-program-design-part-2-ubcx-spd2x)| 5 weeks 101 | [Systematic Program Design- Part 3: Abstraction, Search and Graphs](https://www.edx.org/course/systematic-program-design-part-3-ubcx-spd3x)| 5 weeks 102 | 103 | ### Algorithms 104 | 105 | Course|Duration 106 | :--|:--: 107 | [Algorithms, Part I](https://www.coursera.org/course/algs4partI)| 6 weeks 108 | [Algorithms, Part II](https://www.coursera.org/course/algs4partII)| 6 weeks 109 | [Analysis of Algorithms](https://www.coursera.org/course/aofa)| 6 weeks 110 | 111 | ### Programming Paradigms 112 | 113 | Course|Duration 114 | :--|:--: 115 | [Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0#ct-read-review-widget)| 7 weeks 116 | [Object Oriented Programming in Java](https://www.coursera.org/learn/object-oriented-java) | 6 weeks 117 | [Principles of Reactive Programming](https://www.coursera.org/course/reactive)| 7 weeks 118 | [Programming Languages](https://www.coursera.org/course/proglang)| 8-16 hours/week 119 | [Functional Programming Principles in Scala](https://www.coursera.org/course/progfun)| 7 weeks 120 | 121 | ### Software Testing 122 | 123 | Course|Duration 124 | :--|:--: 125 | [Software Testing](https://www.udacity.com/course/software-testing--cs258)| 4 weeks 126 | [Software Debugging](https://www.udacity.com/course/software-debugging--cs259)| 8 weeks 127 | 128 | ### Math 129 | 130 | Course|Duration 131 | :--|:--: 132 | [Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-utaustinx-ut-9-01x)| 9 weeks 133 | [Applications of Linear Algebra Part 1](https://www.edx.org/course/applications-linear-algebra-part-1-davidsonx-d003x-1#ct-read-review-widget)| 5 weeks 134 | [Applications of Linear Algebra Part 2](https://www.edx.org/course/applications-linear-algebra-part-2-davidsonx-d003x-2)| 4 weeks 135 | [Linear and Discrete Optimization](https://www.coursera.org/course/linearopt)| 3-6 hours/week 136 | [Probabilistic Graphical Models](https://www.coursera.org/course/pgm)| 11 weeks 137 | [Game Theory](https://www.coursera.org/course/gametheory)| 9 weeks 138 | 139 | ### Software Architecture 140 | 141 | Course|Duration 142 | :--|:--: 143 | [Web Application Architectures](https://www.coursera.org/course/webapplications)| 6-9 hours/week 144 | [Software Architecture & Design](https://www.udacity.com/course/software-architecture-design--ud821)| - 145 | [Microservice Architectures TODO]()| - 146 | 147 | ### Software Engineering 148 | 149 | Course|Duration 150 | :--|:--: 151 | [Engineering Software as a Service (SaaS), Part 1](https://www.edx.org/course/engineering-software-service-saas-part-1-uc-berkeleyx-cs169-1x)| 9 weeks 152 | [Engineering Software as a Service (Saas), Part 2](https://www.edx.org/course/engineering-software-service-saas-part-2-uc-berkeleyx-cs169-2x)| 8 weeks 153 | [Software Product Management Specialization](https://www.coursera.org/specializations/product-management)| - 154 | 155 | ### Operating Systems 156 | 157 | Course|Duration 158 | :--|:--: 159 | [Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/)| - 160 | [Operating Systems and System Programming](https://www.youtube.com/watch?v=XgQo4JkN4Bw&list=PL3289DD0D0F0CD4A3)| - 161 | 162 | ### Computer Networks 163 | 164 | Course|Duration 165 | :--|:--: 166 | [Computer Networks](https://www.coursera.org/course/comnetworks)| 4–12 hours/week 167 | [Software Defined Networking](https://www.coursera.org/course/sdn1)| 7-10 hours/week 168 | 169 | ### Databases 170 | 171 | Course|Duration 172 | :--|:--: 173 | [Introduction to Databases](https://www.coursera.org/course/db)| - 174 | [Database Design](https://www.udemy.com/database-design/#reviews)| 9 hours 175 | [Database Management Essentials](https://www.coursera.org/learn/database-management)| 8 weeks 176 | 177 | ### Cloud Computing 178 | 179 | Course|Duration 180 | :--|:--: 181 | [Introduction to Cloud Computing](https://www.edx.org/course/introduction-cloud-computing-ieeex-cloudintro-x-0)| 4 weeks 182 | [Cloud Computing Specialization](https://www.coursera.org/specializations/cloudcomputing)| - 183 | 184 | ### Cryptography 185 | 186 | Course|Duration 187 | :--|:--: 188 | [Cryptography I](https://www.coursera.org/course/crypto)| 6 weeks 189 | [Cryptography II](https://www.coursera.org/course/crypto2)| 6 weeks 190 | [Applied Cryptography](https://www.udacity.com/course/applied-cryptography--cs387)| 8 weeks 191 | 192 | ### Compilers 193 | 194 | Course|Duration 195 | :--|:--: 196 | [Compilers](https://www.coursera.org/course/compilers)| 11 weeks 197 | 198 | ### UX Design 199 | 200 | Course|Duration 201 | :--|:--: 202 | [Interaction Design Specialization](https://www.coursera.org/specializations/interaction-design)| - 203 | [UX Design for Mobile Developers](https://www.udacity.com/course/ux-design-for-mobile-developers--ud849)| 6 weeks 204 | 205 | ### Artificial Intelligence 206 | 207 | Course|Duration 208 | :--|:--: 209 | [Artificial Intelligence](https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x#!)| 12 weeks 210 | 211 | ### Machine Learning 212 | 213 | Course|Duration 214 | :--|:--: 215 | [Practical Machine Learning](https://www.coursera.org/course/predmachlearn)| 4 weeks 216 | [Machine Learning](https://www.coursera.org/learn/machine-learning)| 11 weeks 217 | [Neural Networks for Machine Learning](https://www.coursera.org/course/neuralnets)| 8 weeks 218 | 219 | ### Natural Language Processing 220 | 221 | Course|Duration 222 | :--|:--: 223 | [Natural Language Processing](https://www.coursera.org/course/nlangp)| 10 weeks 224 | [Natural Language Processing](https://www.coursera.org/course/nlp)| 10 weeks 225 | 226 | ### Big Data 227 | 228 | Course|Duration 229 | :--|:--: 230 | [Big Data Specialization](https://www.coursera.org/specializations/big-data)| - 231 | 232 | ### Data Mining 233 | 234 | Course|Duration 235 | :--|:--: 236 | [Data Mining specialization](https://www.coursera.org/specializations/datamining)| - 237 | 238 | ## How to use this guide 239 | 240 | ### Order of the classes 241 | 242 | This guide was developed to be consumed in a linear approach. What does this mean? That you should complete one course at a time. 243 | 244 | The courses are **already** in the order that you should complete them. Just start in the **Introduction** section and after finishing the first course, start the next one. 245 | 246 | **If the course isn't open, do it anyway with the resources from the previous class.** 247 | 248 | ### Should I take all courses? 249 | 250 | **Yes**! The intention is to conclude **all** the courses listed here! 251 | 252 | ### Duration of the project 253 | 254 | It may take longer to complete all of the classes compared to a regular CS course, but I can **guarantee** you that your **reward** will be proportional to **your motivation/dedication**! 255 | 256 | ### How can I track/show my progress? 257 | 258 | To **track** your progress, you should update the profile that you created [here](https://github.com/open-source-society/computer-science/issues/31), adding the courses that you began or ended. 259 | 260 | To **show** your progress, you should create a repository on GitHub to put all of the files that you created for each course. 261 | 262 | You can create one repository per course, or just one repository that will contain all of the files for each course. The first option is our preferred approach. 263 | 264 | **ps**: You should share **only** files that you are **allowed** to! **Do NOT disrespect the code of conduct** that you signed in the beginning of some courses. 265 | 266 | [Be creative](#be-creative) in order to show your progress! :smile: 267 | 268 | ### Cooperative work 269 | 270 | **We love cooperative work**! But is quite difficult to manage a large base of students with specific projects. Use our channels to communicate with other fellows to combine and create new projects. 271 | 272 | ### Which programming languages should I use? 273 | 274 | My friend, here is the best part of liberty! You can use **any** language that you want to complete the courses. 275 | 276 | The **important** thing for each course is to **internalize** the **core concepts** and to be able to use them with whatever tool (programming language) that you wish. 277 | 278 | ### Be creative! 279 | 280 | This is a **crucial** part of your journey through all those courses. 281 | 282 | You **need** to have in mind that what you are able to **create** with the concepts that you learned will be your certificate. **And this is what really matters**! 283 | 284 | In order to show that you **really** learned those things, you need to be **creative**! 285 | 286 | Here are some tips about how you can do that: 287 | 288 | - **Articles**: create blog posts to synthesize/summarize what you learned. 289 | - **GitHub repository**: keep your course's files organized in a GH repository, so in that way other students can use it to study with your annotations. 290 | - **Real projects**: you can try to develop at least **one real project** for each course that you enroll. It doesn't need to be a big project, just a **small one** to **validate** and **consolidate** your knowledge. Some project suggestions [here](https://github.com/karan/Projects) and [here](https://github.com/ericdouglas/app-specs). 291 | 292 | ### Stay tuned 293 | 294 | [Watch](https://help.github.com/articles/watching-repositories/) this repository for futures improvements and general information. 295 | 296 | ## Prerequisite 297 | 298 | The **only things** that you need to know are how to use **Git** and **GitHub**. Here are some resources to learn about them: 299 | 300 | - [Try Git](https://try.github.io/levels/1/challenges/1) 301 | - [GitHub Training & Guides](https://www.youtube.com/playlist?list=PLg7s6cbtAD15G8lNyoaYDuKZSKyJrgwB-) 302 | - [GitHub Hello World](https://guides.github.com/activities/hello-world/) 303 | - [Git Immersion](http://gitimmersion.com/index.html) 304 | - [How to Use Git and GitHub](https://www.udacity.com/course/how-to-use-git-and-github--ud775) 305 | 306 | **ps**: You don't need to do all of the courses. Just pick one and learn the basics because you will learn more on the go! 307 | 308 | ## How to collaborate 309 | 310 | You can [open an issue](https://help.github.com/articles/creating-an-issue/) and give us your suggestions as to how we can improve this guide, or what we can do to improve the learning experience. 311 | 312 | You can also fork this project and fix any mistakes that you have found. 313 | 314 | Let's do it together! =) 315 | 316 | ## Community 317 | 318 | Join us in our [group](https://groups.google.com/forum/#!forum/open-source-society-university)! 319 | 320 | You can also interact through [GitHub issues](https://github.com/open-source-society/computer-science-and-engineering/issues). 321 | 322 | We also have a chat room! [![Join the chat at https://gitter.im/open-source-society/computer-science-and-engineering](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/open-source-society/computer-science-and-engineering?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) 323 | 324 | > **ps**: A forum is an ideal way to interact with other students as we do not lose important discussions, which usually occur in communication via chat apps. **Please use our forum for important discussions**. 325 | 326 | ## Next Goals 327 | 328 | - [Adding our university page at Linkedin](https://help.linkedin.com/app/answers/detail/a_id/40128/~/adding-a-new-university-page), so that way we will be able to add **OSS University** in our Linkedin profile. 329 | 330 | ## References 331 | 332 | - [Google - Guide for Technical Development](https://www.google.com/about/careers/students/guide-to-technical-development.html) 333 | - [Coursera](https://www.coursera.org/) 334 | - [edX](https://www.edx.org) 335 | - [MIT Open Courseware](http://ocw.mit.edu/courses/#electrical-engineering-and-computer-science) 336 | --------------------------------------------------------------------------------