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This course provides a comprehensive overview of the concepts of algorithm analysis and development. I attempted to make the course as straightforward as possible, to the point where no previous experience in algorithm analysis or formal computer science education is required.
In the lessons, I review popular algorithms such as:
Binary search trees
Tree traversal and management
Merge sort
Counting sort
Insertion sort
Radix sort
Huffman coding
And much more
Additionally, you’ll learn about the data structures that are utilized to implement these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts.
And based on course feedback, I’m now adding full Python based code implementations of the algorithms, so you can build and run the programs!
I developed this course while I was taking a graduate level Analysis of Algorithms and Data Structures course from Texas Tech University, and these are all the main topics that we discussed. So whether you are a university student looking to pass your algorithm and data structure class, or you are a developer looking to improve your computer science skills, this is the course for you.
Who this course is for:
Computer science students
Programmers
Mathematicians
Requirements
No previous experience is required
In the lessons, I review popular algorithms such as:
Binary search trees
Tree traversal and management
Merge sort
Counting sort
Insertion sort
Radix sort
Huffman coding
And much more
Additionally, you’ll learn about the data structures that are utilized to implement these algorithms, such as queues and stacks. I also review a number of graph algorithms and give introductions to additional advanced algorithm analysis concepts.
And based on course feedback, I’m now adding full Python based code implementations of the algorithms, so you can build and run the programs!
I developed this course while I was taking a graduate level Analysis of Algorithms and Data Structures course from Texas Tech University, and these are all the main topics that we discussed. So whether you are a university student looking to pass your algorithm and data structure class, or you are a developer looking to improve your computer science skills, this is the course for you.
Who this course is for:
Computer science students
Programmers
Mathematicians
Requirements
No previous experience is required
| 1 - Introduction to Algorithms | 2 - Sorting Algorithms | 3 - Abstract Data Structures |
| 4 - Binary Search Trees | 5 - Red Black Trees | 6 - Graph Algorithms |
| 7 - Advanced Algorithms | 8 - Supplementary Content |
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