Awesome-Mirrors/OSSU-computer-science
1
0
Fork 0
mirror of https://github.com/ossu/computer-science.git synced 2024-10-01 01:26:01 -04:00
Code Issues Packages Projects Releases Wiki Activity

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

Browse Source
This commit is contained in:
Joshua Hanson 2017-02-25 18:37:14 -05:00
parent a76ea7e1b7
commit b9281a73d8
1 changed files with 13 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
README.md
View File

@ -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 [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
#### 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 ## Advanced CS
Unfortunately, advanced topics in computer science generally have less coverage in online courses. Unfortunately, advanced topics in computer science generally have less coverage in online courses.
@ -308,15 +321,8 @@ Courses | Duration | Effort | Prerequisites
### Advanced applications ### 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 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 [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 [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 [Big Data (Specialization)](https://www.coursera.org/specializations/big-data) | 30 weeks | 3-5 hours/week | none