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دوراتنا
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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Course by
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Self Paced
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الإنجليزية
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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Course by
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Self Paced
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10 ساعات
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الإنجليزية
Sort students marks using bubble and insertion algorithms
The learner will create two sorting algorithms in Java programming language. The learner will create an optimised bubble sort function that sorts students' marks in ascending order by repeatedly swapping adjacent elements within an array if they are in the wrong order. The learner will also create an insertion sort function that sorts students' marks in ascending order by building a sorted array, one element at a time.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
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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Course by
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Self Paced
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15 ساعات
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الإنجليزية
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. We will learn how to process a real life data set, and see the difference between various sorting algorithms in memory and time usage. In addition, we will learn how to analyze a sorting algorithm and how to design a readable implementation. Finally, we will cover what circumstance are ideal for each type of sorting algorithm.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Testing and Debugging Python
If you have seen any of the news lately, it is not hard to imagine why software bugs cost the economy billions of dollars per year as well as costing lives. The ability to test your code (and other’s code) is probably one of the most important skills to know as a developer. Knowing how to track down and fix bugs is also critical.
Testing can mean adding print statements to output data at certain points in a program to visually check it. Testing can also involve developing separate programs to test the functionality of the code itself.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية