Introduction to Algorithms
In this video, I provide an overview to the Introduction to Algorithms course. This is the first course in a two-part series. The second course is Advanced Algorithms.
This course will provide a solid introduction to design and analysis of algorithms. In particular, upon successful completion of this course, students will be able to understand, explain and apply key algorithmic concepts and principles including the following ones:
• Sorting algorithms (Selection Sort, Bubble Sort, and Insertion Sort)
• Time and space complexity analysis (Big-Oh, Omega, and Theta notations)
• Recursive algorithms and Master Theorem
• Divide and conquer algorithms (Merge Sort, Quick Sort, and Matrix Multiplication)
• Trees (Binary Search Trees, AVL Trees, and Red-black Trees)
If you want to obtain a certification and a Introduction to Algorithms Foundations badge from the State University of New York Binghamton based on the videos in this channel, please visit the link. For obtaining the certification, you will need to pass a multiple choice final exam based on these videos. The course also contains self-assessment quizzes to help you prepare for the finals and for obtaining the certificate.
https://www.binghamton.edu/watson/con...
We believe that everyone has the right to good education, and geographical and political boundaries should not be a barrier to obtaining knowledge and information. Therefore the videos for the course have been made publicly available via CSEdu4All, an educational initiative started by Prof. Anand Seetharam and Prof. Arti Ramesh as part of their educational outreach.
We hope that you will join and support us in this endeavor!
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