From b9281a73d8548bb7e1e833f944e190527da88ea9 Mon Sep 17 00:00:00 2001 From: Joshua Hanson Date: Sat, 25 Feb 2017 18:37:14 -0500 Subject: [PATCH] Move non-specialization Advanced applications courses to be Optional under Core applications --- README.md | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 2975648..1b630e3 100644 --- a/README.md +++ b/README.md @@ -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