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).
This course is part of the Data Structures and Algorithms Specialization
Offered By
About this Course
What you will learn
Essential algorithmic techniques
Design efficient algorithms
Practice solving algorithmic interview problems
Implement efficient and reliable solutions
Skills you will gain
- Dynamic Programming
- Debugging
- Software Testing
- Algorithms
- Computer Programming
Offered by
Syllabus - What you will learn from this course
Programming Challenges
Algorithmic Warm-up
Greedy Algorithms
Divide-and-Conquer
Reviews
- 5 stars71.83%
- 4 stars21.59%
- 3 stars4.22%
- 2 stars0.98%
- 1 star1.36%
TOP REVIEWS FROM ALGORITHMIC TOOLBOX
I liked the fact that the algorithms are not just the introductory searching and sorting algorithms. The assignments are fairly difficult (I have decent scripting experience), but not impossibly so.
good course, I like the fact you can use a lot of languages for you programming exercises, the content is really helpful, I would like to have more indications from the grading system to save time.
This course is just awesome and outstanding in every term. Teachers are very good at explaining even the toughest of problems and really helped throughout the course, i enjoyed and leaned a lot.
Great Course. This series is great but sometimes you will get frustrated because of the questions as it is not easy, make sure to give those a time. Great satisfaction after solving them though
About the Data Structures and Algorithms Specialization

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