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学生对 EIT 数字 提供的 I/O-efficient algorithms 的评价和反馈

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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....



Nov 5, 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.


Feb 28, 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


1 - I/O-efficient algorithms 的 13 个评论(共 13 个)

创建者 Nicholas P

Jun 25, 2020

创建者 Natarajan C

Nov 6, 2019


May 9, 2022

创建者 Yucheng Z

Sep 29, 2020

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Jan 31, 2020

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Apr 27, 2020


Jul 6, 2022

创建者 Kota V K 1

May 27, 2021

创建者 Никулин О А

Aug 30, 2020

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创建者 Raghu V

Dec 1, 2021