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Algorithms on Strings Course

Algorithms on Strings Course Course

An intermediate, hands-on course that teaches essential string algorithms for bioinformatics, text search, and pattern matching.

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9.7/10 Highly Recommended

Algorithms on Strings Course on Coursera — An intermediate, hands-on course that teaches essential string algorithms for bioinformatics, text search, and pattern matching.

Pros

  • Focused and intermediate-level course with practical applications.
  • Hands-on assignments reinforce theoretical concepts.
  • Covers essential string algorithms used in bioinformatics and computer science.

Cons

  • Some modules are mathematically intensive; prior algorithm knowledge is helpful.
  • Limited coverage of approximate pattern matching techniques beyond BWT and KMP.

Algorithms on Strings Course Course

Platform: Coursera

What will you learn in Algorithms on Strings Course

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  • Understand fundamental string algorithms including tries, suffix trees, suffix arrays, and the Burrows-Wheeler Transform (BWT).

  • Apply pattern matching techniques for exact and approximate search in text and genomic sequences.

  • Implement the Knuth-Morris-Pratt (KMP) algorithm for efficient pattern matching.

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  • Explore applications of string algorithms in bioinformatics, text compression, and search engines.

  • Gain hands-on experience with programming assignments to reinforce algorithmic concepts.

Program Overview

Module 1: Suffix Trees
⏳ 4 hours

  • Learn to search for longest repeats in strings using suffix trees.

  • Study pattern matching algorithms and their practical applications.

  • Includes 6 videos, 5 readings, 1 assignment, 1 programming assignment.

Module 2: Burrows-Wheeler Transform and Suffix Arrays
⏳ 4 hours

  • Learn text compression with BWT and its application to pattern matching.

  • Explore suffix arrays for exact and approximate string matching.

  • Includes 5 videos, 4 readings, 1 assignment, 1 programming assignment.

Module 3: Knuth-Morris-Pratt Algorithm
⏳ 3 hours

  • Implement KMP algorithm for linear-time exact pattern matching.

  • Learn efficient construction of prefix functions for string search.

  • Includes 8 videos, 2 readings, 1 assignment.

Module 4: Advanced Pattern Matching and Applications
⏳ 3 hours

  • Apply learned algorithms to real-world data such as genomic sequences.

  • Explore advanced topics in string processing and algorithm optimization.

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Job Outlook

  • Prepares learners for roles in bioinformatics, software engineering, and text/data analysis.

  • Knowledge applicable in search engines, computational biology, genomics, and NLP applications.

  • Enhances programming and algorithmic problem-solving skills.

  • Builds foundational skills for further study in algorithms, data structures, and computational genomics.

Explore More Learning Paths

Expand your algorithmic expertise with these carefully selected courses and resources. From foundational concepts to advanced techniques, these learning paths will help you tackle string-related problems and computational challenges with confidence.

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