Title: Algorithmic Design and Techniques
Location: US
Company: The University of California, San Diego
About this course:
In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn basic algorithmic techniques and ideas for computational problems, which arise in practical applications such as sorting and searching, divide and conquer, greedy algorithms and dynamic programming.
This course will cover theories, including:
how to sort data and how it helps for searching;
how to break a large problem into pieces and solve them recursively;
when it makes sense to proceed greedily;
how dynamic programming is used in genomic studies.
You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
Essential algorithmic techniques - greedy algorithms, divide and conquer, binary search, sorting, dynamic programming
Best practices of implementing algorithms efficiently
Ways of testing and debugging programs
Learn how to design algorithms, solve computational problems and implement solutions efficiently.
Duration: 6 weeks
Skills:
- Algorithm Design
- Algorithms
- Data Structures
- Divide And Conquer
- Dynamic Programming
- Greedy Algorithm
- Sorting
Curriculum:
- Module 1: Welcome
- Module 2: Introduction
- Module 3: Greedy Algorithms
- Module 4: Divide-and-Conquer
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