Algorithmic Design and Techniques
About
This project contains notes and work from the edx class "Algorithmic Design & Techniques" from UC SanDiego on edx.
Resources
MOOC Books:
- Learning Algorithms through Programming and Puzzle Solving
- by Alexander Kulikov and Pavel Pevzner.
- Covers all programming challenges that you will face in the Algorithmic Design and Techniques and discusses good software practices for solving them.
- It also describes online puzzles that illustrate various algorithmic ideas in this series of courses.
- Bioinformatics Algorithms: An Active Learning Approach
- by Phillip Compeau and Pavel Pevzner.
- covers various algorithmic techniques and their applications in modern genomics, including the genome assembly problem from our capstone project.
- It has been adopted as a textbook in offline classes in over 60 universities around the world.
Course Outline
- Week 1: Programming Challenges (DONE)
- Week 2: Algorithmic Warm-up (DONE)
- Week 3: Greedy Algorithms (DONE)
- Week 4: Divide-and-Conquer
- Weeks 5-6: Dynamic Programming