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Algorithmic Design and Techniques

Algorithms and Data Structures,

In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn basic algorithmic techniques and ideas for computational problems, which arise in practical applications such as sorting and searching, divide and conquer, greedy algorithms and dynamic programming.

This course will cover theories, including:

how to sort data and how it helps for searching;

how to break a large problem into pieces and solve them recursively;

when it makes sense to proceed greedily;

how dynamic programming is used in genomic studies.

You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

What you'll learn

  • Essential algorithmic techniques - greedy algorithms, divide and conquer, binary search, sorting, dynamic programming
  • Best practices of implementing algorithms efficiently
  • Ways of testing and debugging programs

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Rating 2.0 based on 1 ratings
Length 6 weeks
Effort 6 weeks, 8–10 hours per week
Starts On Demand (Start anytime)
Cost $150
From The University of California San Diego, UC San DiegoX, UCSanDiegoX, The University of California, San Diego via edX
Instructors Daniel Kane, Alexander S. Kulikov, Michael Levin, Pavel Pevzner, Neil Rhodes
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Math

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What people are saying

solid background in mathematics

This course is a lot more work than its authors claim, and if you don't have a solid background in mathematics, you're likely to find those aspects of the syllabus poorly explained.

instructors have strong accents

The instructors have strong accents, are prone to labouring some simple points and glossing over others, and aren't particularly engaging, save for one or two.

labouring some simple points

code they give

But some of the code they give you is slapdash and hard to test, and don't expect anyone to help you when you get stuck.

find those aspects

glossing over others

its authors claim

lot more work

practice implementing algorithms

They're right that the opportunity to practice implementing algorithms is very valuable.

syllabus poorly explained

no one replies

No one replies.

dead zone

The forums are a dead zone.

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Rating 2.0 based on 1 ratings
Length 6 weeks
Effort 6 weeks, 8–10 hours per week
Starts On Demand (Start anytime)
Cost $150
From The University of California San Diego, UC San DiegoX, UCSanDiegoX, The University of California, San Diego via edX
Instructors Daniel Kane, Alexander S. Kulikov, Michael Levin, Pavel Pevzner, Neil Rhodes
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Math

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