Dynamic Programming: Applications In Machine Learning and Genomics

Description

In this course, you will learn:

• The application of dynamic programming to simple string comparison methods.
• Alignment of sequences, as well as how to generalise dynamic programming methods to handle a variety of situations.
• Models with hidden markov chains.
• How to determine the most likely sequence of events given a set of outcomes and a limited amount of information.
• In sequence alignment, machine learning is used.

Syllabus:

1. Pairwise Sequence Alignment
2. Advanced Sequence Alignment
3. Introduction to Hidden Markov Models
4. Machine Learning in Sequence Alignment