mirror of
https://github.com/ossu/computer-science.git
synced 2024-11-22 15:35:00 +03:00
Move Princeton algo to extras
This commit is contained in:
parent
10f2a4b31e
commit
960ddd4c3d
16
README.md
16
README.md
@ -176,13 +176,6 @@ Courses | Duration | Effort | Prerequisites
|
||||
|
||||
### Core theory
|
||||
|
||||
Algorithms and data structures is the most important subject you will learn in Core CS, and there are two major course sequences for learning it.
|
||||
The Princeton Algorithms courses are highly recommended as a more practical, implementation-focused complement to the more theory-focused Stanford Algorithms courses.
|
||||
Ideally, students would do both sets of courses since they complement each other nicely.
|
||||
However, Part II of Princeton Algorithms is rarely available, so Stanford Algorithms is the recommended choice if you cannot do both.
|
||||
Another difference is that Stanford Algorithms assignments can use any programming language;
|
||||
Princeton Algorithms assignments use Java but don't require extensive Java experience.
|
||||
|
||||
**Topics covered**:
|
||||
divide and conquer;
|
||||
sorting and searching;
|
||||
@ -196,8 +189,6 @@ dynamic programming;
|
||||
NP-completeness;
|
||||
and more.
|
||||
|
||||
#### Stanford Algorithms
|
||||
|
||||
Courses | Duration | Effort | Prerequisites
|
||||
:-- | :--: | :--: | :--:
|
||||
[Algorithms (1/4)](https://www.coursera.org/learn/algorithms-divide-conquer) | 4 weeks | 4-8 hours/week | one programming language; proofs; probability
|
||||
@ -205,13 +196,6 @@ Courses | Duration | Effort | Prerequisites
|
||||
[Algorithms (3/4)](https://www.coursera.org/learn/algorithms-greedy) | 4 weeks | 4-8 hours/week | previous algorithms course
|
||||
[Algorithms (4/4)](https://www.coursera.org/learn/algorithms-npcomplete) | 4 weeks | 4-8 hours/week | previous algorithms course
|
||||
|
||||
#### Princeton Algorithms
|
||||
|
||||
Courses | Duration | Effort | Prerequisites
|
||||
:-- | :--: | :--: | :--:
|
||||
[Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) | 6 weeks | 6-12 hours/week | some programming
|
||||
[Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | 6 weeks | 6-12 hours/week | Algorithms, Part I
|
||||
|
||||
### Core applications
|
||||
|
||||
**Topics covered**:
|
||||
|
@ -50,6 +50,8 @@ Courses | Duration | Effort
|
||||
|
||||
Courses | Duration | Effort
|
||||
:-- | :--: | :--:
|
||||
[Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) | 6 weeks | 6-12 hours/week | some programming
|
||||
[Algorithms, Part II](https://www.coursera.org/learn/algorithms-part2) | 6 weeks | 6-12 hours/week | Algorithms, Part I
|
||||
[Analysis of Algorithms (Skiena)](http://www3.cs.stonybrook.edu/~skiena/373/) | 15 weeks | 6-8 hours/week
|
||||
[Analysis of Algorithms (Sedgewick)](https://www.coursera.org/course/aofa)| 6 weeks | 6-8 hours/week
|
||||
[Programming Challenges (Skiena)](http://www3.cs.stonybrook.edu/~skiena/392/) | 14 weeks | 6-8 hours/week
|
||||
|
Loading…
Reference in New Issue
Block a user