diff --git a/README.md b/README.md index 74e7539..60f15c6 100644 --- a/README.md +++ b/README.md @@ -245,18 +245,9 @@ Courses | Duration | Effort | Prerequisites Courses | Duration | Effort | Prerequisites :-- | :--: | :--: | :--: -[Algorithms (1/4)](https://www.coursera.org/learn/algorithms-divide-conquer)1 | 4 weeks | 4-8 hours/week | one programming language, proofs, probability -[Algorithms (2/4)](https://www.coursera.org/learn/algorithms-graphs-data-structures)1 | 4 weeks | 4-8 hours/week | Algorithms (1/4) -[Algorithms (3/4)](https://www.coursera.org/learn/algorithms-greedy) | 4 weeks | 4-8 hours/week | Algorithms (2/4) -[Algorithms (4/4)](https://www.coursera.org/learn/algorithms-npcomplete) | 4 weeks | 4-8 hours/week | Algorithms (3/4) +[Algorithms: Design and Analysis, Part I](https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms1+SelfPaced/about) | 8 weeks | 4-8 hours/week | any programming language, Mathematics for Computer Science +[Algorithms: Design and Analysis, Part II](https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms2+SelfPaced/about) | 8 weeks | 4-8 hours/week | Part I -**1 Note**: -Parts 1 and 2 of Stanford Algorithms is available as [Algorithms: Design and Analysis](https://lagunita.stanford.edu/courses/course-v1:Engineering+Algorithms1+SelfPaced/about) through Stanford Lagunita. -Unlike the Coursera version, quizzes and tests are auto-graded for free. -If you are pursuing an optional certificate from Coursera, you will still need to complete parts 1 and 2 through Coursera. - -In spite of what it looks like, **these courses are free to access**. -([How?](FAQ.md#are-coursera-courses-free-to-access)) ### Core applications