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Algorithmic Thinking (Part 1)

This course is a part of Fundamentals of Computing, a 7-course Specialization series from 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 course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python 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. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing".

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Rice University

Rating 4.4 based on 62 ratings
Length 5 weeks
Effort 4 weeks of study, 7-10 hours/week
Starts Jul 22 (today)
Cost $79
From Rice University via Coursera
Instructors Luay Nakhleh, Scott Rixner, Joe Warren
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms Software Development

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According to other learners, here's what you need to know

very good in 3 reviews

The course itself was very good and engaging and without us knowing it, would teach core fundamentals of computing through the coding exercises.

The lectures and material is very good, and everything is wrapped up in much fun projects and applications where you will learn a lot.

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very well in 3 reviews

Great class, very well constructed.

Prof. Luay is an excellent instructor, his approach is very well thought of and his explanation on the subject is very constructive and clear which is vital to the understanding of such subject.

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Coursera

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Rice University

Rating 4.4 based on 62 ratings
Length 5 weeks
Effort 4 weeks of study, 7-10 hours/week
Starts Jul 22 (today)
Cost $79
From Rice University via Coursera
Instructors Luay Nakhleh, Scott Rixner, Joe Warren
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms Software Development

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