Teaching

Spring:

Algorithms for Computational & Predictive Biomedicine
3 credit, TTh 10-1130, VALE M-184

This course teaches widely-used computational approaches from disparate fields, specificially, machine learning, signal and image processing, natural language processing and graph theory. Each algorithm will be presented with application to a specific problem in the area of computational biomedicine or predictive medicine. By presenting the most fundamental concepts or algorithms from each of these fields, this course provides the students with the ability to identify the best algorithm or the field of approach to solve a biomedical question at their hand. 

Prerequisites: Working knowledge of Calculus, Probability Theory and Linear Algebra
Course goals:

• Gain working knowledge of computational algorithms from multidisciplinary fields
• Uncover the analogy between different areas so as to apply algorithms of one field to another