Algorithmic Toolbox

This course is part of Data Structures and Algorithms Specialization

Instructors: Neil Rhodes +5 more

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What you'll learn

  •   Essential algorithmic techniques
  •   Design efficient algorithms
  •   Practice solving algorithmic interview problems
  •   Implement efficient and reliable solutions

    • Skills you'll gain

  •   Test Engineering
  •   Design Strategies
  •   Development Testing
  •   Program Development
  •   Algorithms
  •   Computational Thinking
  •   Bioinformatics
  •   Computer Programming
  •   Debugging
  •   Theoretical Computer Science
  •   Programming Principles
  •   Test Case
  •   Software Testing
  •   Data Structures

    • There are 6 modules in this course

    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. We will learn a lot of theory: 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).

    Algorithmic Warm-up

    Greedy Algorithms

    Divide-and-Conquer

    Dynamic Programming 1

    Dynamic Programming 2

    Explore more from Algorithms

    Algorithmic Thinking (Part 2)

    Algorithms

    Algorithmic Solutions: Design, Problem Solving, Reporting

    Design and Analysis of Algorithms

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