mirror of
https://github.com/ossu/computer-science.git
synced 2024-10-01 01:26:01 -04:00
e92d1cd2e5
Added a new probability course called Stat110 from Harvard, and moved the previous one to the extra courses page.
97 lines
7.7 KiB
Markdown
97 lines
7.7 KiB
Markdown
# 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 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 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)| - | -
|
|
[Computing In Python, Part I: Fundamentals and Procedural Programming](https://www.edx.org/course/computing-in-python-i-fundamentals-and-procedural-programming-0) | 5 weeks | 10 hours/week
|
|
[Computing In Python, Part II: Control Structures](https://www.edx.org/course/computing-in-python-ii-control-structures-0) | 5 weeks | 10 hours/week
|
|
[Computing In Python, Part III: Data Structures](https://www.edx.org/course/computing-in-python-iii-data-structures-0) | 5 weeks | 10 hours/week
|
|
[Computing In Python, Part IV: Objects & Algorithms](https://www.edx.org/course/computing-in-python-iv-objects-algorithms-0) | 5 weeks | 10 hours/week
|
|
[Programming Basics](https://www.edx.org/course/programming-basics-iitbombayx-cs101-1x)| 9 weeks | 8 hours/week
|
|
[Object-Oriented Programming with Java](https://java-programming.mooc.fi/)| 14 weeks | 10 hours/week
|
|
[Introduction to Programming with MATLAB](https://www.coursera.org/learn/matlab)| - | -
|
|
[Introduction to Functional Programming](https://www.edx.org/course/introduction-functional-programming-delftx-fp101x-0)| 7 weeks | 4-6 hours/week
|
|
[The Structure and Interpretation of Computer Programs](http://cs61a.org/) | - | -
|
|
[Introduction to Haskell](https://www.seas.upenn.edu/~cis194/fall16/) | 14 weeks | 4 hours/week
|
|
|
|
## Math
|
|
|
|
Courses | Duration | Effort
|
|
:-- | :--: | :--:
|
|
[Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-utaustinx-ut-9-01x-0) | 4 weeks | 2 hours/week
|
|
[Introduction to Mathematical Thinking](https://www.coursera.org/learn/mathematical-thinking) | 10 weeks | 10 hours/week
|
|
[High School Math](https://www.khanacademy.org/math/high-school-math) | - | -
|
|
[Precalculus](https://www.futurelearn.com/courses/precalculus) | 5 weeks | 6 hours/week
|
|
[Advanced Precalculus](https://www.futurelearn.com/courses/advanced-precalculus) | 4 weeks | 5 hours/week
|
|
[Introduction to Probability and Data](https://www.coursera.org/learn/probability-intro)| - | -
|
|
[Linear Algebra (Strang)](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm) | - | -
|
|
[Multivariable Calculus](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm) | 13 weeks | 12 hours/week
|
|
[Introduction to Probability - The Science of Uncertainty](https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2) | 18 weeks | 12 hours/week | [Multivariable Calculus](https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/index.htm)
|
|
|
|
## Systems
|
|
|
|
Courses | Duration | Effort
|
|
:-- | :--: | :--:
|
|
[Cloud Computing / Distributed Programming](https://www.coursera.org/learn/cloud-computing) | 5 weeks | 5-10 hours/week
|
|
[Introduction to Parallel Programming](https://classroom.udacity.com/courses/cs344) ([alt](https://www.youtube.com/playlist?list=PLGvfHSgImk4aweyWlhBXNF6XISY3um82_)) ([HW](https://colab.research.google.com/github/depctg/udacity-cs344-colab))| 12 weeks | 8-10 hours/week
|
|
[Intro to Computer Systems](http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/15213-f15/www/) ([Labs](http://csapp.cs.cmu.edu/3e/labs.html)) | 15 weeks | 12 hours/week
|
|
[Great Ideas in Computer Architecture (Machine Structures)](https://inst.eecs.berkeley.edu/~cs61c/fa14/) ([Lectures](https://archive.org/details/ucberkeley_webcast_itunesu_915550404)) | 15 weeks | 12 hours/week
|
|
[Computer Architecture](https://www.coursera.org/learn/comparch) | - | 5-8 hours/week
|
|
[Operating System Engineering](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-828-operating-system-engineering-fall-2012/) | - | -
|
|
[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
|
|
[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
|
|
[Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | 6 weeks | 6-12 hours/week
|
|
[Analysis of Algorithms (Sedgewick)](https://www.coursera.org/learn/analysis-of-algorithms) | 6 weeks | 6-8 hours/week
|
|
[Analysis of Algorithms (Skiena)](http://www3.cs.stonybrook.edu/~skiena/373/) | 15 weeks | 6-8 hours/week
|
|
[Programming Challenges (Skiena)](http://www3.cs.stonybrook.edu/~skiena/392/) | 14 weeks | 6-8 hours/week
|
|
[Data Structures and Algorithms (Specialization)](https://www.coursera.org/specializations/data-structures-algorithms) | 25 weeks | 3-10 hours/week
|
|
[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/) | - | -
|
|
|
|
## Applications
|
|
|
|
Courses | Duration | Effort
|
|
:-- | :--: | :--:
|
|
[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
|
|
[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
|
|
|
|
## Tools
|
|
|
|
Courses | Duration | Effort
|
|
:-- | :--: | :--:
|
|
[How to Use Git and GitHub](https://www.udacity.com/course/how-to-use-git-and-github--ud775) | 3 weeks | 2-3 hours/week
|
|
[Kubernetes Certified Application Developer](https://www.udemy.com/course/certified-kubernetes-application-developer/) | 5 weeks | 2 hours/week
|
|
|
|
|
|
# Online Learning - Great Courses
|
|
|
|
Courses | Duration | Effort
|
|
:-- | :--: | :--:
|
|
[Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn) | 4 weeks | 2 hours/week
|
|
[Mindshift](https://www.coursera.org/learn/mindshift) | 4 weeks | 2 hours/week
|