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DATA Structure AND Algorithm

information structure is a named area that can be utilized to store an...
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Data structure and algorithms

3 Documents
Students shared 3 documents in this course
Academic year: 2013/2014
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Anoop Raj C
Rajiv Gandhi University of Health Sciences
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DATA STRUCTURE AND ALGORITHMS

Introduction Background - What is Data Structure and Algorithms? What is Data Structure? What is Algorithm? Data Structure - Arrays, Lists, Sets, Maps, Graphs Algorithms - Directed/Undirected Search, Dynamic Programming, Greedy, Divide and Conquer, Recursion, Complexity Analysis, Heuristics, Formulation, Backtracking, Branch & Bound, etc.

Data Structures and Algorithms is a programming course taught at Codecademy. It teaches students how to write algorithms and data structures, which are a part of programming that help the computer perform a task. The Data Structures and Algorithms course is made up of four sections: Intro to Data Structures, Intro to Algorithms, Data Structures, and Algorithms. Each section is taught using Codecademy's unique 'Learn, Code, Repeat' format, in which students build and run their own code, and then learn from the feedback that their code gives them.

Introduction to Data Structures and Algorithms. Topic: How to store data and how to process it. Why is it important: Data is the backbone of the internet. Without data we wouldn't have anything.

Intro – background on data structures and algorithms, what they are, how they were developed, what they’re used for, strengths and weaknesses, etc. Body – the evolution of data structures and algorithms (background, main topics, small sections on each one, etc.) Conclusion

  • final thoughts, maybe a little more background on a couple of the topics and their evolution, etc.

Data structures and algorithmic design are two of the most important topics in computer science. In this course, we will introduce the fundamentals of data structures and algorithms, with a particular focus on the theory behind them and their practical implications. Once you have a solid understanding of the data structure and algorithm topics, you can explore how they are used in computer science and how they directly affect our daily lives.

In 1918 Jean-Baptiste Picquard and his fellow technicians published a bill detailing the creation and implementation of the world’s first digital library, a project they had been working on for several years. The bill, which proposes the creation of a national library, was initially drafted under the provisional name of “recommendation”, but was eventually renamed the “Institut de recherche et de documentation du droit public français” (Institute for Research and Documentation on the French Public

The following data structures are presented: data structures for creating a variable number of threads, a queue, a skip list, a priority queue, and a stack, as well as a data structure for extending a skip list.

Data structure and algorith analysis are the two broad strands of computer science around which computational social scientists have built their subfields. Each strand can be traced back centuries, and each has had a profound transformative impact on the modern world.

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DATA Structure AND Algorithm

Course: Data structure and algorithms

3 Documents
Students shared 3 documents in this course

University: Rajiv Gandhi University of Health Sciences

Was this document helpful?
DATA STRUCTURE AND ALGORITHMS
Introduction Background - What is Data Structure and Algorithms?
What is Data Structure? What is Algorithm? Data Structure - Arrays,
Lists, Sets, Maps, Graphs Algorithms - Directed/Undirected Search,
Dynamic Programming, Greedy, Divide and Conquer, Recursion,
Complexity Analysis, Heuristics, Formulation, Backtracking, Branch &
Bound, etc.
Data Structures and Algorithms is a programming course taught at
Codecademy. It teaches students how to write algorithms and data
structures, which are a part of programming that help the computer
perform a task. The Data Structures and Algorithms course is made up
of four sections: Intro to Data Structures, Intro to Algorithms, Data
Structures, and Algorithms. Each section is taught using Codecademy's
unique 'Learn, Code, Repeat' format, in which students build and run
their own code, and then learn from the feedback that their code gives
them.
Introduction to Data Structures and Algorithms. Topic: How to store
data and how to process it. Why is it important: Data is the backbone of
the internet. Without data we wouldn't have anything.
Intro – background on data structures and algorithms, what they are,
how they were developed, what they’re used for, strengths and
weaknesses, etc. Body – the evolution of data structures and algorithms
(background, main topics, small sections on each one, etc.) Conclusion
– final thoughts, maybe a little more background on a couple of the
topics and their evolution, etc.

Students also viewed

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