About this Course

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Learner Career Outcomes

36%

started a new career after completing these courses

29%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: English

Skills you will gain

Suffix TreeSuffix ArrayKnuth–Morris–Pratt (KMP) AlgorithmAlgorithms On Strings

Learner Career Outcomes

36%

started a new career after completing these courses

29%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: English

Offered by

University of California San Diego logo

University of California San Diego

National Research University Higher School of Economics logo

National Research University Higher School of Economics

Syllabus - What you will learn from this course

Content RatingThumbs Up88%(3,580 ratings)Info
Week
1

Week 1

4 hours to complete

Suffix Trees

4 hours to complete
5 videos (Total 27 min), 5 readings, 1 quiz
5 videos
Brute Force Approach to Pattern Matching2m
Herding Patterns into Trie5m
Herding Text into Suffix Trie6m
Suffix Trees4m
5 readings
Trie Construction - Pseudocode10m
FAQ10m
Slides and External References10m
Available Programming Languages10m
FAQ on Programming Assignments10m
Week
2

Week 2

4 hours to complete

Burrows-Wheeler Transform and Suffix Arrays

4 hours to complete
5 videos (Total 30 min), 4 readings, 1 quiz
5 videos
Inverting Burrows-Wheeler Transform7m
Using BWT for Pattern Matching6m
Suffix Arrays5m
Approximate Pattern Matching6m
4 readings
Using BWT for Pattern Matching10m
Pattern Matching with Suffix Array10m
FAQ10m
Slides and External References10m
Week
3

Week 3

3 hours to complete

Knuth–Morris–Pratt Algorithm

3 hours to complete
5 videos (Total 35 min), 2 readings, 1 quiz
5 videos
Safe Shift3m
Prefix Function7m
Computing Prefix Function9m
Knuth-Morris-Pratt Algorithm5m
2 readings
Programming Assignment 3 lasts for two weeks2h
Slides and External References10m
1 practice exercise
Exact Pattern Matching30m
Week
4

Week 4

5 hours to complete

Constructing Suffix Arrays and Suffix Trees

5 hours to complete
11 videos (Total 76 min), 5 readings, 2 quizzes
11 videos
General Strategy6m
Initialization9m
Sort Doubled Cyclic Shifts8m
SortDouble Implementation6m
Updating Classes8m
Full Algorithm3m
Suffix Array and Suffix Tree8m
LCP Array5m
Computing the LCP Array6m
Construct Suffix Tree from Suffix Array and LCP Array6m
5 readings
Counting Sort10m
Slides and External References2m
Computing the LCP Array - Additional Slides10m
Suffix Tree Construction - Pseudocode10m
Slides and External References2m
1 practice exercise
Suffix Array Construction12m

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About the Data Structures and Algorithms Specialization

This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine....
Data Structures and Algorithms

Frequently Asked Questions

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