Basic Concepts Of Algorithms - Edukite

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5/17/2019

Basic Concepts Of Algorithms - Edukite

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Basic Concepts Of Algorithms ( 9 REVIEWS ) 

749 STUDENTS

The aim of this course is to provide an introduction to mathematical modeling of computational problems. It is an undergraduate …

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Basic Concepts Of Algorithms - Edukite

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1 YEAR LEVEL 2 - CERTIFICATE COURSE BADGE COURSE CERTIFICATE

27

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4 HOURS, 35 MINUTES

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CURRICULUM

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The aim of this course is to provide an introduction to mathematical modeling of computational problems. It is an undergraduate course. It covers topics such as the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming. In addition to that, it introduces basic performance measures and analysis techniques for these problems.

Assessment This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certi cate at a cost of £49. Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can: Add the certi cate to your CV or resume and brighten up your career Show it to prove your success https://edukite.org/course/basic-concepts-algorithms/

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Basic Concepts Of Algorithms - Edukite

Course Credit: MIT

COURSE CURRICULUM

Module 01

Introduction to Algorithms

00:10:00

More document distance, mergesort

00:10:00

Airplane scheduling, binary search trees

00:10:00

Balanced binary search trees

00:20:00

Hashing I chaining, hash functions

00:10:00

Hashing II table doubling, Karp-Rabin

00:10:00

Hashing III open addressing

00:10:00

Sorting I heaps

00:10:00

Sorting II heaps

00:15:00

Sorting III lower bounds, linear-time sorting

00:10:00

Sorting IV stable sorting, radix sort

00:10:00

Searching I graph search, representations, and applications

00:20:00

Module 02

Searching II breadth- rst search and depth- rst search

00:10:00

Searching III topological sort and NP-completeness

00:10:00

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Basic Concepts Of Algorithms - Edukite

Shortest paths I intro

00:15:00

Shortest paths II Bellman-Ford

00:10:00

Shortest paths III Dijkstra

00:10:00

Shortest paths IV Dijkstra speedups

00:10:00

Dynamic programming I memoization, Fibonacci, Crazy Eights, guessing

00:10:00

Dynamic programming II longest common subsequence, parent pointers

00:10:00

Dynamic programming III text justi cation, parenthesization, knapsack, pseudopolynomial time, Tetris training

00:10:00

Dynamic programming IV piano ngering, structural DP (trees), vertex cover, dominating set, and beyond

00:10:00

Numerics I

00:10:00

Numerics II

00:10:00

Beyond 6.006 follow-on classes, geometric folding algorithms

00:05:00

Assessment

Submit Your Assignment

00:00:00

Certi cation

00:00:00

COURSE REVIEWS

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