Description
Algorithms, Part I is the first course in a two-part series on algorithms and data structures from Princeton University . This course covers the essential information about algorithms and data structures that every programmer should know. The focus of this course is on the application of these algorithms and the scientific analysis of the performance of their implementation in Java. The first part of this course covers basic data structures and sorting and searching algorithms. During this course, you will first learn about the data structure of discrete sets (Union-Find) and its various implementations, such as fast and weighted find and union, and apply this type of data to the problem of seepage from physical chemistry.
Then, you will learn to analyze algorithms in a completely scientific way by measuring execution time, developing assumptions about performance, building a mathematical model to explain the behavior of the algorithm, and finally measuring the memory used by the Java program. In the following sections, stack and queue structures and their implementation with linked lists and arrays and an introduction to two advanced Java features, namely generics and iterators, insertion and shell sorting algorithms, merge sort and its various versions, selection and Quicksort are covered. Priority queues and implementation with binary heap and sorting with heapsort, dictionaries and implementation with sorted array (binary search) and unordered list (sequential search) along with their applications, balanced search trees and their geometric applications, and hash tables are other topics of this course.
What skills will you acquire:
- Data structure
- Algorithms
- Programming with Java
Specifications of Algorithms, Part I:
- Publisher: Coursera
- Instructor: Kevin Wayne , Robert Sedgewick
- Language: English
- Education level: Intermediate
- Number: 13 lessons
- Course duration: Approximately 54 hours
Courses
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Sample video
Installation Guide
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Subtitles: English and….
Quality: 720p
Version 2025/4 has increased the number of text files by 52 compared to 2021/1.
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1.74 GB










