Course Directors:
Kasthuri Kannan (Kasthuri.Kannan@nyumc.org)
David Fenyö (David@FenyoLab.org)

Course Overview

This course provides an overview of foundational knowledge and essential methods relevant for all areas of biomedical informatics. Students will explore recurring themes and application domains most frequently used in the field. The course will be technical and rigorous, and it will include a number of computer science topics. The course content has been selected by the curriculum committee, and the topics will change over time. The majority of the coursework will be programming assignments and readings.

Learning objectives

The student will learn and understand the most commonly used methodologies in the field of biomedical informatics.

Programming Languages

Learning the following programming languages during the duration of the course is required:

• Python - Learning Python 5, Think Python, Python for Data Analysis, SciPy, How to Think Like a Computer Scientist: Learning with Python, Learn Python the Hard Way
• R - Learning R
• JavaScript, JQuery, D3: Tutorials
• Databases - Learning SQL, MySQL Reference Manual, MongoDB the Definitive Guide

• Programming Assignments (40%).
• Discussions (25%)
• Final Project (35%)