Algorithmic Thinking (Part 2) is the sixth course of the Computing Fundamentals Specialization which consists of 6 Courses + 1 Capstone Project you must complete them all to get a Specialization Certificate.
Course Specifications :
- Course Provider : Coursera
- Course Created by : Rice University
- Course Instructors :
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- Luay Nakhleh, Associate Professor
- Joe Warren, Professor
- Scott Rixner, Professor
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- Language: English
- Pricing : Free Access to Course Materials , BUT Access to Graded Materials ,Receive a Final Grade and Earn a Shareable Certificate cost $79
About this course:
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.
To know more about this course , its Curriculum and how to enroll , you can visit their official page on Coursera.org :
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