mirrors/computer-science
mirrors
/
computer-science
mirror of https://github.com/ossu/computer-science.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

Move optional Intro CS courses to extras 

Since we want every course in Intro CS and Core CS to be required, I have removed
the optional courses from Intro CS. But they are still good courses so I made
a new section in extras/courses.md to house courses on online learning.

I also added a new course under this new section, the sequel to Learning How
to Learn.
This commit is contained in:
Josh Hanson 2017-03-30 17:45:30 -04:00
parent ed89cd797b
commit 3885a2d3e8
2 changed files with 10 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -109,9 +109,7 @@ and is knowledgeable enough now to decide which electives to take.
## Intro CS
Use the first course, CS50, to determine if Computer Science is right for you.
Only proceed in the curriculum if it really excites you.
Feel free to use the second and third **optional** courses to gain the fundamental skills you need to excel at teaching yourself Computer Science;
they are very lightweight courses so it's suggested take them concurrently with another course.
Only proceed in the curriculum if it really excites you!
**Topics covered**:
imperative programming;
@ -127,8 +125,6 @@ and more.
Courses | Duration | Effort | Prerequisites
:-- | :--: | :--: | :--:
[Introduction to Computer Science - CS50](https://www.edx.org/course/introduction-computer-science-harvardx-cs50x#!) ([alt](https://cs50.harvard.edu/)) | 12 weeks | 10-20 hours/week | none
[Learning How to Learn](https://www.coursera.org/learn/learning-how-to-learn) | 4 weeks | 2 hours/week | none
[Effective Thinking Through Mathematics](https://www.edx.org/course/effective-thinking-through-mathematics-utaustinx-ut-9-01x-0) | 4 weeks | 2 hours/week | none
## Core CS

10
extras/courses.md
View File

@ -23,6 +23,7 @@ Courses | Duration | Effort
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 | none
[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) | - | -
@ -62,4 +63,11 @@ Courses | Duration | Effort
[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
[Big Data Science with the BD2K-LINCS Data Coordination and Integration Center](https://www.coursera.org/course/bd2klincs)| 7 weeks | 4-5 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