This online course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
About this Course
Skills you will gain
University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars72.07%
- 4 stars21.46%
- 3 stars4.22%
- 2 stars0.94%
- 1 star1.29%
TOP REVIEWS FROM ALGORITHMIC TOOLBOX
Excellent Course !! The concepts are explained well and the programming exercise provide good learning. I learnt a lot from the Course. Thanks to the instructors for creating such a nice course !!
I am thankful to Coursera and all the professors who taught this course. This course helps me to understand all basics of algorithm. Looking forward to use my knowledge which I gained from this.
The course is very good, the assignments are hard, and made me think a lot, which is very good and I like it. I think it will be even more excellent if there are more assignments and/or exercises.
Great course for stepping into algorithms. But some portions have bad lectures like for example explaining the theoritical reasoning for finding safe move in week 3 greedy algorithm is very poor.
About the Data Structures and Algorithms Specialization
Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
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