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Clean up Core applications

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Joshua Hanson 2017-02-28 19:25:42 -05:00
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@ -236,10 +236,14 @@ and more.
Courses | Duration | Effort | Prerequisites
:-- | :--: | :--: | :--:
[Databases](https://lagunita.stanford.edu/courses/DB/2014/SelfPaced/about)| 12 weeks | 8-12 hours/week | some programming, basic CS
[Software Engineering: Introduction](https://www.edx.org/course/software-engineering-introduction-ubcx-softeng1x) | 6 weeks | 8-10 hours/week | Software Construction - Object-Oriented Design
[Machine Learning](https://www.coursera.org/learn/machine-learning)| 11 weeks | 4-6 hours/week | linear algebra
[Computer Graphics](https://www.edx.org/course/computer-graphics-uc-san-diegox-cse167x)| 6 weeks | 12 hours/week | C++ or Java, linear algebra
[Cryptography I](https://www.coursera.org/course/crypto)| 6 weeks | 5-7 hours/week | linear algebra; probability
[Cryptography I](https://www.coursera.org/course/crypto)| 6 weeks | 5-7 hours/week | linear algebra, probability
[Software Engineering: Introduction](https://www.edx.org/course/software-engineering-introduction-ubcx-softeng1x) | 6 weeks | 8-10 hours/week | Software Construction - Object-Oriented Design
[Software Development Capstone Project](https://www.edx.org/course/software-development-capstone-project-ubcx-softengprjx)**\*** | 6-7 weeks | 8-10 hours/week | Software Engineering: Introduction
\* **Required** if you intend not to go past Core CS;
**strongly recommended** even for those who will continue on to Advanced CS.
#### Readings
- Supplemental: [Transaction Processing: Concepts and Techniques](https://www.amazon.com/Transaction-Processing-Concepts-Techniques-Management/dp/1558601902)
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#### Optional courses
The Software Development Capstone Project is **strongly recommended** as a way to consolidate your knowledge gained throughout the Core CS curriculum;
it involves working on a team.
If you intend to stop at Core CS and go no further in your studies, you should consider this course to be required;
be aware that it does cost money to get the most out of it.
Compilers is recommended to any student who took a strong interest in the Programming Languages courses.
Natural Language Processing is recommended to anyone who thinks they want to specialize in machine learning, artificial intelligence, etc.
Cryptography II is recommended to anyone who wants to learn more about zero knowledge systems and other advanced topics in cryptography.
Unfortunately, the latter two courses are rarely available, which is why they are optional.
Courses | Duration | Effort | Prerequisites
:-- | :--: | :--: | :--:
[Software Development Capstone Project](https://www.edx.org/course/software-development-capstone-project-ubcx-softengprjx) | 6-7 weeks | 8-10 hours/week | Software Engineering: Introduction
[Compilers](https://lagunita.stanford.edu/courses/Engineering/Compilers/Fall2014/about)| 9 weeks | 6-8 hours/week | none
[Introduction to Natural Language Processing](https://www.coursera.org/learn/natural-language-processing)| 12 weeks | - | Python programming
[Cryptography II](https://www.coursera.org/course/crypto2)| 6 weeks | 6-8 hours/week | Cryptography I
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Courses | Duration | Effort | Prerequisites
:-- | :--: | :--: | :--:
[Compilers](https://lagunita.stanford.edu/courses/Engineering/Compilers/Fall2014/about)| 9 weeks | 6-8 hours/week | none
[Software Debugging](https://www.udacity.com/course/software-debugging--cs259)| 8 weeks | 6 hours/week | Python, object-oriented programming
[LAFF: Programming for Correctness](https://www.edx.org/course/laff-programming-correctness-utaustinx-ut-p4c-14-01x) | 7 weeks | 6 hours/week | linear algebra
[Introduction to Parallel Programming](https://www.udacity.com/course/intro-to-parallel-programming--cs344) | 12 weeks | - | C, algorithms