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).
À propos de ce cours
Compétences que vous acquerrez
- 5 stars71,84 %
- 4 stars21,58 %
- 3 stars4,23 %
- 2 stars0,98 %
- 1 star1,36 %
Meilleurs avis pour ALGORITHMIC TOOLBOX
Very good course, all the problems are well designed to test your critical thinking skills and there's pretty good and detailed conceptual stuff but not more than needed to make you nearly a pro.
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. I would suggest to improve pronunciation of some of the lecturers, add more material, lower the concentration of the material (by prolonging or splitting the course). Great work, thanks!
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.
À propos du Spécialisation Structures de données et algorithmes
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