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Quantitative Methods for Biologists
NEUROBIO 306QC

Course Information

Description

The goal of this camp is to introduce you to programming in the PYTHON environment and to show you the power this provides for analyzing data and for gaining intuition about the behavior of complex systems through the use of numerical simulations. Some of you, upon encountering in the previous sentence words like “programming” and “numerical simulations,” will feel the cold hand of fear grip your stomach, because you have never done any programming and, in fact, have tried to avoid math as much as possible. If so, YOU ARE PRECISELY THE PERSON WE HAD IN MIND as we were planning the course. We are aiming to help you break through this barrier of darkness and fear into the radiant sunshine of quantitative enlightenment. The true beauty of PYTHON, as we will personally demonstrate, is that it allows people who are not mathematically adept (e.g. some of the instructors of this course) to use powerful numerical methods and visualization tools to gain an understanding of concepts that are very difficult to grasp analytically.

Course Notes

The camp is primarily designed for those of you with no prior programming experience. If you fit this description, you should definitely plan to take the course. It is critical to be familiar with a scientific programming language with which to improve your quantitative literacy throughout graduate school.

Class Notes

M/W/F, 10:00am-4:00pm EST (one-hour break from 2pm-3pm)
T/Th, 2:00pm-4:00pm EST (drop-in/homework)
Meeting Dates: January 11 – January 22

Meeting Locations:
M/W/F: Cambridge campus - TBD

T/TH: Longwood - instructor to provide location 

School Faculty of Arts & Sciences
Credits 2
Cross Reg

Available for Harvard Cross Registration

Department Neuroscience
Course Component Reading and Research
Grading Basis FAS Satisfactory/Unsatisfactory
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution None
Course Level Graduate Course