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Algorithmic Thinking (Part 1)

Coursera · Rice University · 4 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Algorithmic Thinking (Part 1)" from Rice University.
Course Description

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems.

In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.

Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing".

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This course is offered by Rice University on the Coursera platform.
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
I recommend learning discrete mathematics, then data structures and algorithms.

I cannot stress enough how important mathematical foundations is. It'll make everything else much easier to learn. I haven't read the book but heard good things about: https://www.amazon.com/Discrete-Mathematics-Applications-Sus... as a beginner text.

Coursera has multiple offerings on Data Structures / Algorithms -- find one that works best for you.

For instance:

https://www.coursera.org/learn/introduction-to-algorithms

https://www.coursera.org/specializations/algorithms

https://www.coursera.org/learn/algorithmic-thinking-1

https://www.coursera.org/learn/algorithmic-toolbox

By doing all of those you'll get a good introductory exposure to the topics.

You should also look at a rigorous course offering of Algorithms. MIT has a few online to view.

Some readings for a beginner are:

https://www.khanacademy.org/computing/computer-science/algor...

https://www.amazon.com/Algorithms-Unlocked-Press-Thomas-Corm...

https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press... (not beginner level but classic)

After all of this you should be fine with diving into interview books. You'll want to whiteboard solutions and be able to do all the difficult problems. Look into sites like leetcode, glassdoor and be able to do the difficult problems posted there.

40acres
Thanks, there are some good resources here. I rushed through CLRS to help prepare for these interviews but I failed at the phonescreen, which was mostly comprised of Leetcode / Hackerrank type questions. I'll definitely take a look at the coursera course specialization but it seems as though these interviews comprise of a 'programming challenge' type question for the phone screen and more with a focus on data structures, algorithms and system design for the onsite.
I haven't had time to take this course, though I'd like to. It sounds like it is exactly what you are looking for.

https://www.coursera.org/learn/algorithmic-thinking-1

There are plenty of very good MOOCs on algorithms -

1. https://www.coursera.org/course/aofa

2. https://www.coursera.org/course/algs4partI

3. https://www.coursera.org/course/algo

4. https://www.coursera.org/course/algs4partII

5. https://www.coursera.org/course/algorithmicthink

bigb9320
Which of these would you recommend for someone who has been programming since 2 years but wants to improve their fundamentals ?
prometheuspk
I'd go for aofa
IMHO writing better code comes with time and practice. So what you probably need to focus on is developing your algorithmic thinking https://www.coursera.org/course/algorithmicthink
hardxxxtarget
But developing the algorithmic thinking also takes a lot of time and practice. So ideally, what would be the best way to balance them both?
SkyMarshal
You're overthinking it. Just program a lot, experiment with algorithms, read well-regarded books on both, and both will come.

https://hn.algolia.com/?q=books#!/story/forever/0/books

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