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Move non-specialization Advanced applications courses to be Optional under Core applications

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Joshua Hanson 2017-02-25 18:37:14 -05:00
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@ -227,6 +227,19 @@ Courses | Duration | Effort | Prerequisites
[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
#### Optional
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.
Courses | Duration | Effort | Prerequisites
:-- | :--: | :--: | :--:
[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
## Advanced CS
Unfortunately, advanced topics in computer science generally have less coverage in online courses.
@ -308,15 +321,8 @@ Courses | Duration | Effort | Prerequisites
### Advanced applications
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 is recommended to anyone who wants to learn more about zero knowledge systems and other advanced topics in cryptography.
Courses | Duration | Effort | Prerequisites
:-- | :--: | :--: | :--:
[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
[Robotics (Specialization)](https://www.coursera.org/specializations/robotics) | 26 weeks | 2-5 hours/week | linear algebra, calculus, programming, probability
[Data Mining (Specialization)](https://www.coursera.org/specializations/data-mining) | 30 weeks | 2-5 hours/week | machine learning
[Big Data (Specialization)](https://www.coursera.org/specializations/big-data) | 30 weeks | 3-5 hours/week | none