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Is algorithms by Princeton University good?

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Is algorithms by Princeton University good?

“Fantastic course in data structures and algorithms, great introduction for those who haven’t taken CS at university. Also leans towards the mathematical side versus pure programming while utilising some good programming exercises, so an interesting course from that angle too. Looking forward to Part II!”

What does algorithm course teach?

This online course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.

How do I become an algorithm specialist?

Computer scientists who work as algorithm specialists typically must have a doctoral degree, which can take six to eight years to complete. Individuals pursuing this degree should have good quantitative problem-solving skills and a solid background and love of mathematics.

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What are the steps involved in algorithm development?

An Algorithm Development Process

  • Step 1: Obtain a description of the problem. This step is much more difficult than it appears.
  • Step 2: Analyze the problem.
  • Step 3: Develop a high-level algorithm.
  • Step 4: Refine the algorithm by adding more detail.
  • Step 5: Review the algorithm.

What are the prerequisites for the algorithms course on Coursera?

The Coursera webpage offers a brief suggestion that familiarity with Java programming is a prerequisite for the Algorithms course: Some helpful historical context behind the Algorithms course: it draws from the COS 226 (Algorithms and Data Structures) course taught at Princeton University.

What are the prerequisites for taking a probability course?

Prerequisites: Introduction to proofs, and discrete mathematics and probability (e.g., CS 103 and Stat116). If you have not taken a probability course, you should expect to do some independent reading during the course on topics including random variables, expectation, conditioning, and basic combinatorics. 1. INTRODUCTION (1/4/2011)

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What is the goal of the algorithms course?

The goal of the course is to teach basic principles and practical issues, while at the Some helpful historical context behind the Algorithms course: it draws from the COS 226 (Algorithms and Data Structures) course taught at Princeton University. COS 226 has a prerequisite of COS 126 (General Computer Science), which describes itself as follows:

What are the prerequisites for Kleinberg and Tardos?

Required textbook: Kleinberg and Tardos, Algorithm Design, 2005. We will be covering most of Chapters 4–6, some parts of Chapter 13, and a couple of topics not in the book. Prerequisites: Introduction to proofs, and discrete mathematics and probability (e.g., CS 103 and Stat116).