This course provides a comprehensive exploration of sorting algorithms, focusing on their implementation, efficiency, and stability. Participants will gain a deep understanding of various sorting techniques, their best, worst, and average case complexities, and their applicability to different data structures such as arrays and linked lists.
Key Topics Covered:
-
Sorting Algorithms Overview:
- Introduction to sorting algorithms and their importance in computer science.
- Detailed analysis of common sorting algorithms, including:
- Merge Sort
- Quicksort
- Heapsort
- Insertion Sort and Selection Sort
- Bubble Sort
-
Stability in Sorting Algorithms
-
Data Structures
-
Advanced Topics:
- Introduction to Radix Sort and its linear time complexity under certain constraints.
- Exploration of randomization techniques in sorting.
-
Practical Implementations
-
Video Lectures and Resources
By the end of this course, participants will be equipped with the knowledge and skills to implement and analyze sorting algorithms effectively, making informed decisions on the best sorting techniques for various applications. This course is ideal for computer science students, software developers, and anyone interested in enhancing their understanding of algorithmic efficiency.
- Teacher: Zaien Aji Trahutomo