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Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms with simple iterative sorts, followed by Divide and Conquer algorithms. Use the course visualizations to understand the performance.

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  • English
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I/O-efficient algorithms

I/O-efficient algorithms

I/O-efficient algorithms, also known as external memory algorithms or cache-oblivious algorithms, are a class of algorithms designed to efficiently process data that is too large to fit entirely in the main memory (RAM) of a computer. These algorithms are particularly useful when dealing with massive datasets, such as those found in large-scale data processing, database management, and file systems. Operations on data become more expensive when the data item is located higher in the memory hierarchy.

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  • 10 hours
  • English
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Sort students marks using bubble and insertion algorithms

Sort students marks using bubble and insertion algorithms

The learner will create two sorting algorithms in Java programming language.

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  • 2 hours
  • English
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Approximation Algorithms

Approximation Algorithms

Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example, because the problems are NP-hard. The goal of the Approximation Algorithms course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the optimal solution to certain problems, but an approximation that is close to the optimal solution. We will see how to efficiently find such approximations.

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  • 15 hours
  • English
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Using Efficient Sorting Algorithms in Java to Arrange Tax Data

Using Efficient Sorting Algorithms in Java to Arrange Tax Data

By the end of this project, you will learn how to create an application that sorts Missouri Tax Data into ascending order using a variety of critical sorting algorithms.

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  • 3 hours
  • English
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