Coursera – Data Structures and Algorithms Specialization 2023-12 – Download

explanation

Data Structures and Algorithms Specialization Duration of training data structure and algorithm In programming. This tutorial uses more than 100 algorithms to solve both computational and programming challenges, improving your problem-solving skills as you learn each algorithm. People in the coding profession are always busy with problems and many difficulties to solve the programming problems they face. For example, let’s say you want to program writing the shortest path between two points and show that an algorithm has been used to solve this program, but finding a shorter, faster, and more reliable algorithm is not easy. . Day.

This course, provides many challenges to design and a variety of algorithms to learn well through the process of solving them. First, you are thinking of algorithms and their use. It’s simple. Ruth was given. We then investigate more serious problems that arise in real-world operations. This tutorial also includes two real-world challenges in the form of two projects: a network and a genome reconstruction. In Project Network, Big Boobs, etc., you will learn about algorithms, network, road and social network analysis and how the shortest path between New York and San Francisco is calculated (1000 times faster than the algorithm of the shortest path standard). We can also learn from genome reconstruction projects how the genome is reconstructed from millions of short segments of DNA.

What to learn

  • Apply basic algorithms such as Binary Search. Sorting, dynamic programming, etc.
  • Apply to become an expert in cryptography, including graphs and strings, to solve real-world challenges like finding the shortest path or reconstructing a genome.
  • Apply various data structures such as stacks, queues, tables, hashes, etc. Binary search trees and graphs
  • Solve complex problems in programming using advanced techniques such as programming, linear, etc. Algorithms, encoders, nasty, etc.

Data Structures and Algorithms Specialization Specifications

  • Publisher: Kosra
  • Instructors: Alexander S. Kulikov, Michael Levin, etc. Neil Rose and… Pavel Pevzner, etc., Daniel M. Kane
  • Language: English
  • Training level: Intermediate
  • A total of 6 courses
  • Period: Recommended time: 6 hours per week, approximately 8 months

procedure

Course 1

algorithm toolbox

course 2

data structure

Course 3

Algorithms in Graphs

4 courses

string algorithm

5 courses

Advanced Algorithms and Complexity

6 courses

Genome Assembly Programming Challenge

precondition

  • 1. Basic knowledge of one or more programming languages: C++, Java, Python, C, C#, Javascript, Haskell, Kotlin, Ruby, Rust, and Scala. We expect you to be able to implement programs that: 1) Standard input (in most cases the input will be a sequence of integers) 2) Compute the result (in most cases a few loops will be enough). 3) Print the results to standard output. For each programming assignment in this course, we provide starter solutions in C++, Java, and Python. The best way to determine if your programming skills are sufficient to solve problems in this specialty is to solve a couple of problems starting in your first week. If you can pass the course after reading the tutorial, you will definitely pass the course.
  • 2. Basic knowledge of discrete mathematics: Proof by induction, proof by contradiction Algorithm analysis (proof of correctness, estimation of execution time) and general algorithmic thinking require knowledge of discrete mathematics. If you want to refresh your discrete math skills, we recommend taking our partner specialization, Introduction to Discrete Mathematics for Computer Science (https://www.coursera.org/specializations/discrete-mathematics). It teaches the fundamentals of discrete mathematics in a try-before-you-know approach. You’ll solve many interactive puzzles that are carefully designed to help you come up with many important ideas and concepts on your own.

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Data Structures and Algorithms Specialization

sample video

installation manual

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Subtitles: English

Quality: 720p

This specialization includes 6 courses:

Some course work and code: link 1 , link 2

Changes:

In the 2022/12 version, some videos from the previous version have been deleted and new videos have been added. File reading functionality has also been added to the course.

download link

Course 1 – Algorithm Toolbox

Download Part 1 – 1GB

Download Part 2 – 394MB

Course 2 – Data Structures

Download Part 1 – 1GB

Download Part 2 – 423MB

Course 3 – Graph Algorithms

Download Part 1 – 1GB

Download Part 2 – 302MB

Course 4 – String Algorithms

Download – 608MB

Course 5 – Advanced Algorithms and Complexity

Download Part 1 – 1GB

Download Part 2 – 620MB

Course 6 – Genome Assembly Programming Challenge

Download – 114MB

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file size

6.5 GB

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