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Featured byCoursera - Rice University
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.
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Visit programme websiteProgramme 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
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Visit programme websiteKey information
Duration
- Part-time
- 21 days
- 3 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Information Technology (IT) Computer Sciences Web Technologies & Cloud Computing View 365 other Short Courses in Information Technology (IT) in United StatesExplore more key information
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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
Make sure you meet all requirements
Visit programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days.
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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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