Algorithmic Thinking (Part 2), Certificate | Part time online | Coursera | United States
1 days
Duration
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About

This Algorithmic Thinking (Part 2) course offered by Coursera in partnership with Rice University is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

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Overview

Key Features

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  

In part 2 of this Algorithmic Thinking (Part 2) course offered by Coursera in partnership with Rice University, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques 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.

Once students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems.  While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.

Programme Structure

Courses include:

  • Sorting, searching, big-O notation, the Master Theorem
  • Closest pairs of points, clustering of points, comparison of clustering algorithms
  • Dynamic programming, running time of DP algorithms, local and global sequence alignment
  • Computation of sequence alignments, applications to genomics and text comparison

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

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  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. 

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