hn.academy

Online courses recommended by Hacker News users. [about]

Algorithms

Coursera · Stanford University · 1 HN points · 4 HN citations

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least ...

View on Coursera
The vast majority of the courses listed here on HN.Academy are available from their providers for free. Many courses offer a completion certification for a fee. A few courses and specializations require an enrollment fee. HN.Academy receives a referral commission when you visit course pages through links on this site and then purchase courses and completion certificates. If you decide to purchase a certificate or course the commission does not increase the cost of the course and helps support the continued existence of HN.Academy which is much appreciated.

Hacker News Comments about Algorithms

All the comments and stories posted to Hacker News that reference this course.
Feb 15, 2017 b3b0p on Algorithms
The Coursera Stanford [0] and Princeton [1] courses start again soon, February 20 to be exact. Not sure which one is better, but to refresh my atrophied CS skills of 10 years I've joined the Stanford course. Not sure how it compares to the Khan Algorithms course. Anyone have any feedback?

[0] https://www.coursera.org/learn/algorithm-design-analysis/

[1] https://www.coursera.org/learn/algorithms-part1/

Sep 21, 2016 oli5679 submitted Algorithms: Design and Analysis Part 1 – Stanford University (1 points, 0 comments)
Aug 10, 2016 ryporter on Ask HN: 8 years working, now 3-4 months off to learn. Looking for advice
I think it's a great idea to study algorithms and math for CS, and that OCW is a very good resource. Also consider taking a Coursera course on algorithms. One taught by Tim Roughgarden started Aug 8. [1] I haven't taken the class, but I've met Tim and seen him talk. He's both extremely intelligent and a dynamic speaker.

I wouldn't prepare specifically for the interview yet. I know that others are very skeptical of the algorithms interview, but I conducted it myself many times, and I'd like to defend it. When done right, the goal is to see how you think about algorithms. I didn't care about whether you jumped to the solution as much as I wanted to hear you think out loud.

My goal was to decide whether I could see myself developing a new algorithm with you as a peer. For many interviewees who lacked a former CS background, the answer was clearly, "No." You need to have a basic and intuitive understanding of Big-O notation, and you need to be able to develop an algorithm yourself. These courses will teach you exactly that (though you absolutely must do the problem sets as well).

Now, it is true that the interview process has its own quirks. So, get experience. Apply to a bunch of jobs, and try to setup interviews with other companies before you even have a phone screen with a company you really want to work for. As with developing algorithms, nothing beats experience. However, I really believe that this step should be secondary to learning the fundamentals. They truly are the basis for the rest.

[1] https://www.coursera.org/learn/algorithm-design-analysis

Jun 22, 2016 umbs on Ask HN: Good MOOCs to fill in self-education?
I viewed classes from all three mentioned above and found Prof Sedwick's classes to be very structured and to my style/liking. Prof. Roughgarden is "free flowing" and may require fast thinking to follow him. Prof Demaine's classes gets very mathematical and I found myself sometimes lost in Greek symbols. But Prof. Demaine is very thorough in building the theory.

[1] Prof Sedwick: https://www.coursera.org/course/algs4partI

As @carise said, the content may be gone after June 30th and if you want to download, you can do so using coursera-dl tool

https://github.com/coursera-dl/coursera-dl

[2] Prof Roughgarden: https://www.coursera.org/learn/algorithm-design-analysis

[3] Prof Erik Demaine (MIT OpenCourseware): https://www.youtube.com/playlist?list=PLUl4u3cNGP61Oq3tWYp6V...

There are videos of MIT's Prof Erik Demaine's Intro to Algo's from various semesters. I think any one should do.

Jun 14, 2016 lewisl9029 on Ask HN: Been in dead end job for too long. Quit without offer in hand?
I'd like to echo the sentiment that quitting without an offer in hand seems like a risky idea. The extra time to prepare for interviews can definitely look appealing, but plenty of others here have outlined all the ways quitting prematurely could work against you, so I won't repeat that here.

Instead, since you don't have a formal CS education, I'd recommend checking out an online algorithms course like this one: https://www.coursera.org/learn/algorithm-design-analysis/hom...

Practically speaking, like it or not (and trust me, I don't), programming interviews tend to involve a lot of algorithms and data structures problems, so having "never really thought about algorithms" puts you at an immediate disadvantage compared to other candidates. Plus, gaining a grasp of the basics of algorithms and data structures is going to be worthwhile regardless as it will make you a better developer.

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
HN.Academy is an independent project and is not managed or owned by Y Combinator, Coursera, edX, or any of the universities and other institutions providing courses.
~ [email protected]
;laksdfhjdhksalkfj more things
hn.academy ~ Privacy Policy ~