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91 lines
7.8 KiB
Markdown
91 lines
7.8 KiB
Markdown
# Computer Science - Great Courses
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This is a list of high-quality courses that, for one reason or another, didn't make it into the curriculum.
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The most common reasons are that the course isn't available often enough,
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or that there was an alternative that fit better into the curriculum.
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## Programming
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Courses | Duration | Effort
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[Introduction to Computer Science and Programming Using Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-5#!)| 9 weeks | 15 hours/week
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[Introduction to Computer Science (Udacity)](https://www.udacity.com/course/intro-to-computer-science--cs101)| 7 weeks | 10-20 hours/week
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[An Introduction to Interactive Programming in Python (Part 1)](https://www.coursera.org/learn/interactive-python-1)| 5 weeks | -
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[An Introduction to Interactive Programming in Python (Part 2)](https://www.coursera.org/learn/interactive-python-2)| - | -
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[Introduction to Computational Thinking and Data Science](https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-2#!)| 10 weeks | 15 hours/week
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[Introduction to Programming with Java Part 1: Starting to Code with Java](https://prod-edx-mktg-edit.edx.org/course/introduction-programming-java-part-1-uc3mx-it-1-1x-0)| 5 weeks | 5-7 hours/week
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[Introduction to Programming with Java Part 2: Writing Good Code](https://prod-edx-mktg-edit.edx.org/course/introduction-programming-java-part-2-uc3mx-it-1-2x)| 5 weeks | 5-7 hours/week
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[CS For All: Introduction to Computer Science and Python Programming](https://www.edx.org/course/cs-all-introduction-computer-science-harveymuddx-cs005x-0)| 14 weeks | 5-7 hours/week
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[Programming Basics](https://www.edx.org/course/programming-basics-iitbombayx-cs101-1x)| 9 weeks | 8 hours/week
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[Introduction to Programming with MATLAB](https://www.coursera.org/learn/matlab)| - | -
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[Principles of Reactive Programming](https://www.coursera.org/course/reactive)| 7 weeks | 5-7 hours/week
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[Object-Oriented Programming](https://www.edx.org/course/object-oriented-programming-iitbombayx-cs101-2x)| 4 weeks | 8 hours/week
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[Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0)| 7 weeks | 4-6 hours/week
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## Math
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Courses | Duration | Effort
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[Pre-Calculus](https://www.coursera.org/course/precalculus)| 10 weeks | 10-12 hours/week
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[Multivariable Calculus](https://www.coursera.org/course/m2o2c2)| 6 weeks | 5-7 hours/week
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[Introduction to Probability and Data](https://www.coursera.org/learn/probability-intro)| - | -
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## Systems
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Courses | Duration | Effort
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[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/) | - | -
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[Introduction to Linux](https://www.edx.org/course/introduction-linux-linuxfoundationx-lfs101x-0)| 8 weeks | 5-8 hours/week
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[CompTIA Linux+](https://www.cybrary.it/course/comptia-linux-plus/)| - | 5.25 hours
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[Introduction to Operating Systems](https://www.udacity.com/course/introduction-to-operating-systems--ud923)| 8 weeks | 5-8 hours/week
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[Advanced Operating Systems](https://www.udacity.com/course/advanced-operating-systems--ud189)| 5 weeks | 5-8 hours/week
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[Advanced Operating Systems: Structures And Implementation](https://www.youtube.com/playlist?list=PL-XXv-cvA_iB_5Q8G8kW5idSwNmXypmQE)| 10 weeks | 2-3 hours/week
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[Introduction to Computer Networking](https://lagunita.stanford.edu/courses/Engineering/Networking-SP/SelfPaced/about) | - | 5-10 hours/week
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[CompTIA Network+](https://www.cybrary.it/course/comptia-network-plus/) | - | 32 hours
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[Cisco CCNA](https://www.cybrary.it/course/cisco-ccna/) | - | 15.5 hours
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[Networking for Web Developers](https://www.udacity.com/course/networking-for-web-developers--ud256) | - | 12 hours
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[Computer Networking](https://www.udacity.com/course/computer-networking--ud436) | 12 weeks | 5-8 hours/week
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## Theory
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Courses | Duration | Effort
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[Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) | 6 weeks | 6-12 hours/week | some programming
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[Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | 6 weeks | 6-12 hours/week | Algorithms, Part I
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[Analysis of Algorithms (Skiena)](http://www3.cs.stonybrook.edu/~skiena/373/) | 15 weeks | 6-8 hours/week
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[Analysis of Algorithms (Sedgewick)](https://www.coursera.org/course/aofa)| 6 weeks | 6-8 hours/week
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[Programming Challenges (Skiena)](http://www3.cs.stonybrook.edu/~skiena/392/) | 14 weeks | 6-8 hours/week
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[Mathematical Logic and Algorithms Theory](https://iversity.org/en/courses/mathematical-logic-and-algorithms-theory) | 7 weeks | 3-4 hours/week
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[Algorithmic Toolbox](https://www.coursera.org/learn/algorithmic-toolbox/) | 5 weeks | 4-8 hours/week
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[Algorithms on Graphs and Trees](https://www.coursera.org/learn/algorithms-on-graphs-and-trees/) | - | -
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[Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/) | - | -
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[Advanced Algorithms and Complexity](https://www.coursera.org/learn/advanced-algorithms-and-complexity/) | - | -
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[Algorithmic Thinking (Part 1)](https://www.coursera.org/learn/algorithmic-thinking-1/) | - | -
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[Algorithmic Thinking (Part 2)](https://www.coursera.org/learn/algorithmic-thinking-2/) | - | -
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[Statistical Mechanics: Algorithms and Computations](https://www.coursera.org/learn/statistical-mechanics/) | - | -
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[Approximation Algorithms Part I](https://www.coursera.org/learn/approximation-algorithms-part-1/) | - | -
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[Approximation Algorithms Part II](https://www.coursera.org/learn/approximation-algorithms-part-2/) | - | -
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[Algorithms: Design and Analysis, Part 1](https://www.coursera.org/course/algo) | 6 weeks | 5-7 hours/week
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[Algorithms: Design and Analysis, Part 2](https://www.coursera.org/course/algo2) | 6 weeks | 6-10 hours/week
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## Applications
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Courses | Duration | Effort
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[Web Application Architectures](https://www.coursera.org/course/webapplications)| 6 weeks | 6-9 hours/week
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[Agile Development Using Ruby on Rails - Basics](https://www.edx.org/course/agile-development-using-ruby-rails-uc-berkeleyx-cs169-1x)| 9 weeks | 12 hours/week
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[Agile Development Using Ruby on Rails - Advanced](https://www.edx.org/course/agile-development-using-ruby-rails-uc-berkeleyx-cs169-2x)| 8 weeks | 12 hours/week
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[Startup Engineering](https://www.coursera.org/course/startup) | 12 weeks | 2-20 hours/week
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[Using Databases with Python](https://www.coursera.org/learn/python-databases) | 5 weeks | 2-3 hours/week
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[Database Systems](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ed2ee867-9610-4bad-94af-5d12c2ea47cd%22) | - | 27 hours
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[Database Management Essentials](https://www.coursera.org/learn/database-management) | 7 weeks | 4-6 hours/week
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[Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)| 16 weeks | 6-10 hours/week
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[Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)| 10 weeks | 6-10 hours/week
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[Machine Learning for Data Science and Analytics](https://www.edx.org/course/machine-learning-data-science-analytics-columbiax-ds102x-0)| 5 weeks | 7-10 hours/week
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[Big Data for Smart Cities](https://www.edx.org/course/big-data-smart-cities-ieeex-introdatax)| 4 weeks | 3-5 hours/week
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[Processing Big Data with Azure HDInsight](https://www.edx.org/course/processing-big-data-azure-hdinsight-microsoft-dat202-1x-0)| 5 weeks | 3-4 hours/week
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[Big Data Science with the BD2K-LINCS Data Coordination and Integration Center](https://www.coursera.org/course/bd2klincs)| 7 weeks | 4-5 hours/week
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[Mining Massive Datasets](https://www.coursera.org/course/mmds)| 7 weeks | 8-10 hours/week
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[Text Retrieval and Search Engines](https://www.coursera.org/learn/text-retrieval)| - | -
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[Text Mining and Analytics](https://www.coursera.org/learn/text-mining)| - | -
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[Cluster Analysis in Data Mining](https://www.coursera.org/learn/cluster-analysis)| - | - |