Sorting Algorithms: From Basics to Pro

Sorting Algorithms: From Basics to Pro, available at Free, with 19 lectures, and has 519 subscribers.

You will learn about Learn fundamental sorting algorithms including Bubble Sort, Insertion Sort, and Selection Sort. Acquire expertise in advanced comparison-based sorting techniques like Quick Sort, Heap Sort, and Merge Sort. Proof of the lower bound of time complexity for comparison-based sorting algorithms. Proof of the average-case time complexity for the Quick Sort algorithm. The course includes a lesson on understanding external sorting. This course is ideal for individuals who are Computer Science Students: Grasping sorting algorithms is vital for their studies. or Software Developers: Optimize code with sorting techniques. or Algorithm Enthusiasts: Gain in-depth sorting technique insights. or IT Professionals: Apply sorting for data efficiency. It is particularly useful for Computer Science Students: Grasping sorting algorithms is vital for their studies. or Software Developers: Optimize code with sorting techniques. or Algorithm Enthusiasts: Gain in-depth sorting technique insights. or IT Professionals: Apply sorting for data efficiency.

Enroll now: Sorting Algorithms: From Basics to Pro

Summary

Title: Sorting Algorithms: From Basics to Pro

Price: Free

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learn fundamental sorting algorithms including Bubble Sort, Insertion Sort, and Selection Sort.
Acquire expertise in advanced comparison-based sorting techniques like Quick Sort, Heap Sort, and Merge Sort.
Proof of the lower bound of time complexity for comparison-based sorting algorithms.
Proof of the average-case time complexity for the Quick Sort algorithm.
The course includes a lesson on understanding external sorting.

Who Should Attend

Computer Science Students: Grasping sorting algorithms is vital for their studies.
Software Developers: Optimize code with sorting techniques.
Algorithm Enthusiasts: Gain in-depth sorting technique insights.
IT Professionals: Apply sorting for data efficiency.

Target Audiences

Computer Science Students: Grasping sorting algorithms is vital for their studies.
Software Developers: Optimize code with sorting techniques.
Algorithm Enthusiasts: Gain in-depth sorting technique insights.
IT Professionals: Apply sorting for data efficiency.

Welcome to “Sorting Algorithms: From Basics to Pro,” a streamlined course crafted for those passionate about mastering sorting algorithms. Ideal for computer science students, software developers, and professionals, this course offers a thorough understanding of sorting from basic methods to advanced techniques and their theoretical underpinnings.

The journey begins with an introduction to the importance of sorting, setting the stage for the in-depth study to come. You’ll start with the Fundamental Sorting Algorithms, learning the mechanics of Bubble Sort, Insertion Sort, and Selection Sort through theory and animated examples.

As you progress, the High-Performance Sorting section delves into Quick Sort, Heap Sort, and Merge Sort. These powerful algorithms handle large datasets with ease, and you’ll explore their advanced concepts and applications.

The course also covers Disk-Based Sorting Strategies for managing large datasets outside of main memory, teaching you external sorting techniques. In the Non-Comparative Sorting segment, you’ll discover Counting Sort, Bucket Sort, and Radix Sort, which provide alternative approaches based on data characteristics.

Finally, the Theoretical Foundations section equips you with a deeper understanding of sorting algorithms’ performance through the study of QuickSort’s average case and the lower bound of time complexity.

By the end of this course, you’ll have a solid grasp of various sorting algorithms, ready to apply and optimize them in real-world scenarios. Embark on this educational path and become proficient in sorting algorithms, transforming into an informed practitioner in the field.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Fundamental Sorting Algorithms

Lecture 1: Bubble Sort Algorithm

Lecture 2: Animation – Bubble Sort Algorithm

Lecture 3: Insert Sort Algorithm

Lecture 4: Animation – Insert Sort Algorithm

Lecture 5: Selection Sort Algorithm

Lecture 6: Animation – Selection Sort Algorithm

Chapter 3: High-Performance Sorting: Quick Sort, Heap Sort & Merge Sort

Lecture 1: Merge Sort Algorithm

Lecture 2: Animation – Merge Sort Algorithm

Lecture 3: Quick Sort Algorithm

Lecture 4: Animation – Quick Sort Algorithm

Lecture 5: Heap Sort Algorithm

Lecture 6: Animation – Heap Sort Algorithm

Chapter 4: Disk-Based Sorting Strategies: External Techniques

Lecture 1: External Sorting: Handling Massive Data

Chapter 5: Counting Sort, Bucket Sort & Radix Sort: Non-Comparative Sorting

Lecture 1: Counting Sort Algorithm

Lecture 2: Bucket Sort Algorithm

Lecture 3: Radix Sort Algorithm

Chapter 6: Theoretical Foundations: QuickSort & Lower Bound of Time Complexity

Lecture 1: Proving QuickSort's Efficiency in Average-Case Scenarios.

Lecture 2: Establishing Minimum Time Complexity for Comparison Sort Algorithms

Instructors

Jakub Melka
Professional in coding & computer science, ready to teach!

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