Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Rice University

Algorithmic Thinking (Part 2)

Rice University via Coursera


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

In part 2 of this course, 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.

Taught by

Luay Nakhleh, Scott Rixner and Joe Warren


4.4 rating, based on 9 Class Central reviews

Start your review of Algorithmic Thinking (Part 2)

  • Félix Pérez

    Félix Pérez completed this course.

  • Raphael Favero

    Raphael Favero completed this course.

  • Rafael Prados

    Rafael Prados completed this course.

  • Dominique Gilleman completed this course.

  • Ines

    Ines completed this course.

  • Anonymous

    Anonymous is taking this course right now.

  • Colin Khein completed this course.

  • Steven Peterson

    Steven Peterson completed this course.

  • Profile image for Alex Ivanov
    Alex Ivanov

    Alex Ivanov completed this course.

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.