# Computer Science - Great Courses

This is a list of high-quality courses that, for one reason or another, didn't make it into the curriculum.
The most common reasons are that the course isn't available often enough,
or that there was an alternative that fit better into the curriculum.

## Programming

Courses | Duration | Effort
:-- | :--: | :--:
[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
[Introduction to Computer Science (Udacity)](https://www.udacity.com/course/intro-to-computer-science--cs101)| 7 weeks | 10-20 hours/week
[An Introduction to Interactive Programming in Python (Part 1)](https://www.coursera.org/learn/interactive-python-1)| 5 weeks | -
[An Introduction to Interactive Programming in Python (Part 2)](https://www.coursera.org/learn/interactive-python-2)| - | -
[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
[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
[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
[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
[Programming Basics](https://www.edx.org/course/programming-basics-iitbombayx-cs101-1x)| 9 weeks | 8 hours/week
[Introduction to Programming with MATLAB](https://www.coursera.org/learn/matlab)| - | -
[Principles of Reactive Programming](https://www.coursera.org/course/reactive)| 7 weeks | 5-7 hours/week
[Object-Oriented Programming](https://www.edx.org/course/object-oriented-programming-iitbombayx-cs101-2x)| 4 weeks | 8 hours/week
[Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0)| 7 weeks | 4-6 hours/week

## Math

Courses | Duration | Effort
:-- | :--: | :--:
[Pre-Calculus](https://www.coursera.org/course/precalculus)| 10 weeks | 10-12 hours/week
[Multivariable Calculus](https://www.coursera.org/course/m2o2c2)| 6 weeks | 5-7 hours/week
[Introduction to Probability and Data](https://www.coursera.org/learn/probability-intro)| - | -

## Systems

Courses | Duration | Effort
:-- | :--: | :--:
[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/) | - | -
[Introduction to Linux](https://www.edx.org/course/introduction-linux-linuxfoundationx-lfs101x-0)| 8 weeks | 5-8 hours/week
[CompTIA Linux+](https://www.cybrary.it/course/comptia-linux-plus/)| - | 5.25 hours
[Introduction to Operating Systems](https://www.udacity.com/course/introduction-to-operating-systems--ud923)| 8 weeks | 5-8 hours/week
[Advanced Operating Systems](https://www.udacity.com/course/advanced-operating-systems--ud189)| 5 weeks | 5-8 hours/week
[Advanced Operating Systems: Structures And Implementation](https://www.youtube.com/playlist?list=PL-XXv-cvA_iB_5Q8G8kW5idSwNmXypmQE)| 10 weeks | 2-3 hours/week
[Introduction to Computer Networking](https://lagunita.stanford.edu/courses/Engineering/Networking-SP/SelfPaced/about) | - | 5-10 hours/week
[CompTIA Network+](https://www.cybrary.it/course/comptia-network-plus/) | - | 32 hours
[Cisco CCNA](https://www.cybrary.it/course/cisco-ccna/) | - | 15.5 hours
[Networking for Web Developers](https://www.udacity.com/course/networking-for-web-developers--ud256) | - | 12 hours
[Computer Networking](https://www.udacity.com/course/computer-networking--ud436) | 12 weeks | 5-8 hours/week

## Theory

Courses | Duration | Effort
:-- | :--: | :--:
[Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) | 6 weeks | 6-12 hours/week | some programming
[Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | 6 weeks | 6-12 hours/week | Algorithms, Part I
[Analysis of Algorithms (Skiena)](http://www3.cs.stonybrook.edu/~skiena/373/) | 15 weeks | 6-8 hours/week
[Analysis of Algorithms (Sedgewick)](https://www.coursera.org/course/aofa)| 6 weeks | 6-8 hours/week
[Programming Challenges (Skiena)](http://www3.cs.stonybrook.edu/~skiena/392/) | 14 weeks | 6-8 hours/week
[Mathematical Logic and Algorithms Theory](https://iversity.org/en/courses/mathematical-logic-and-algorithms-theory) | 7 weeks | 3-4 hours/week
[Algorithmic Toolbox](https://www.coursera.org/learn/algorithmic-toolbox/) | 5 weeks | 4-8 hours/week
[Algorithms on Graphs and Trees](https://www.coursera.org/learn/algorithms-on-graphs-and-trees/) | - | -
[Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/) | - | -
[Advanced Algorithms and Complexity](https://www.coursera.org/learn/advanced-algorithms-and-complexity/) | - | -
[Algorithmic Thinking (Part 1)](https://www.coursera.org/learn/algorithmic-thinking-1/) | - | -
[Algorithmic Thinking (Part 2)](https://www.coursera.org/learn/algorithmic-thinking-2/) | - | -
[Statistical Mechanics: Algorithms and Computations](https://www.coursera.org/learn/statistical-mechanics/) | - | -
[Approximation Algorithms Part I](https://www.coursera.org/learn/approximation-algorithms-part-1/) | - | -
[Approximation Algorithms Part II](https://www.coursera.org/learn/approximation-algorithms-part-2/) | - | -
[Algorithms: Design and Analysis, Part 1](https://www.coursera.org/course/algo) | 6 weeks | 5-7 hours/week
[Algorithms: Design and Analysis, Part 2](https://www.coursera.org/course/algo2) | 6 weeks | 6-10 hours/week

## Applications

Courses | Duration | Effort
:-- | :--: | :--:
[Web Application Architectures](https://www.coursera.org/course/webapplications)| 6 weeks | 6-9 hours/week
[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
[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
[Startup Engineering](https://www.coursera.org/course/startup) | 12 weeks | 2-20 hours/week
[Using Databases with Python](https://www.coursera.org/learn/python-databases) | 5 weeks | 2-3 hours/week
[Database Systems](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ed2ee867-9610-4bad-94af-5d12c2ea47cd%22) | - | 27 hours
[Database Management Essentials](https://www.coursera.org/learn/database-management) | 7 weeks | 4-6 hours/week
[Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271)| 16 weeks | 6-10 hours/week
[Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)| 10 weeks | 6-10 hours/week
[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
[Big Data for Smart Cities](https://www.edx.org/course/big-data-smart-cities-ieeex-introdatax)| 4 weeks | 3-5 hours/week
[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
[Big Data Science with the BD2K-LINCS Data Coordination and Integration Center](https://www.coursera.org/course/bd2klincs)| 7 weeks | 4-5 hours/week
[Mining Massive Datasets](https://www.coursera.org/course/mmds)| 7 weeks | 8-10 hours/week
[Text Retrieval and Search Engines](https://www.coursera.org/learn/text-retrieval)| - | -
[Text Mining and Analytics](https://www.coursera.org/learn/text-mining)| - | -
[Cluster Analysis in Data Mining](https://www.coursera.org/learn/cluster-analysis)| - | -