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Voltar para I/O-efficient algorithms

Comentários e feedback de alunos de I/O-efficient algorithms da instituição EIT Digital

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Sobre o curso

Operations on data become more expensive when the data item is located higher in the memory hierarchy. An operation on data in CPU registers is roughly a million times faster than an operation on a data item that is located in external memory that needs to be fetched first. These data fetches are also called I/O operations and need to be taken into account during the design of an algorithm. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. We will work with a simplified memory hierarchy, but the notions extend naturally to more realistic models. Prerequisites: In order to successfully take this course, you should already have a basic knowledge of algorithms and mathematics. Here's a short list of what you are supposed to know: - O-notation, Ω-notation, Θ-notation; how to analyze algorithms - Basic calculus: manipulating summations, solving recurrences, working with logarithms, etc. - Basic probability theory: events, probability distributions, random variables, expected values etc. - Basic data structures: linked lists, stacks, queues, heaps - (Balanced) binary search trees - Basic sorting algorithms, for example MergeSort, InsertionSort, QuickSort - Graph terminology, representations of graphs (adjacency lists and adjacency matrix), basic graph algorithms (BFS, DFS, topological sort, shortest paths) The material for this course is based on the course notes that can be found under the resources tab. We will not cover everything from the course notes. The course notes are there both for students who did not fully understand the lectures as well as for students who would like to dive deeper into the topics. The video lectures contain a few very minor mistakes. A list of these mistakes can be found under resources. If you think you found an error, report a problem by clicking the square flag at the bottom of the lecture or quiz where you found the error....

Melhores avaliações

NC

5 de nov de 2019

Everything was clearly explained and the questions were quite intuitive and checking my knowledge. More examples for different scenarios too would help us a lot to learn more.

TL

28 de fev de 2022

The excercises and assignments helped in undertanding the concepts much better. Also as this course content can't be found easily at one place this really helped. Thank you

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1 — 13 de 13 Avaliações para o I/O-efficient algorithms

por Nicholas P

25 de jun de 2020

por Natarajan C

6 de nov de 2019

por CHARISIOS V

9 de mai de 2022

por Yucheng Z

29 de set de 2020

por Jörg S

22 de ago de 2022

por 周柏宇

31 de jan de 2020

por vignesh p

3 de jul de 2020

por Sergio G

27 de abr de 2020

por FREDERICKV P A E

6 de jul de 2022

por Kota V K 1

27 de mai de 2021

por Никулин О А

30 de ago de 2020

por Sinha A

25 de ago de 2020

por Raghu V

1 de dez de 2021