1929502_9383_72

UCSanDiegoX: Algorithmic Design and Techniques

139,00 

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

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About this course

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).

At a glance

  • Institution: UCSanDiegoX
  • Subject: Computer Science
  • Level: Intermediate
  • Prerequisites:
    • Basic knowledge of at least one programming language: loops, arrays, stacks, recursion.
    • Basic knowledge of mathematics: proof by induction, proof by contradiction.
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • MicroMasters® Program in Algorithms and Data Structures
  • Associated skills:Algorithm Design, Greedy Algorithm, Sorting, Dynamic Programming, Data Structures, Divide And Conquer, Algorithms

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

Additional information

Weeks

6

Language

English

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