Boot Camp in Quantitative Methods

August 2020

What you need to do before class

  1. Get a laptop. If you can't get one please email Jennie_Epp.
  2. Download and Install MATLAB. MATLAB can be downloaded for free in one of two ways: 1) If you have an email address of the type [email protected] and an eCommons account, use the HMS Wiki. 2) If you have an email address of the type [email protected], use this link. Be sure to download MATLAB R2018a or later. If your are currently running an older version please update it.
  3. Sign up for a student account on the learning catalytics website using this code: HSSLCS-SMALL-NOMEN-TASTE-CABBY-MINES.
  4. After logging in, enter the following session number to get the “assignment”: 44477768.
  5. Complete the pre-course assignment on Learning Catalytics.
  6. Download the course materials for Day 1.
  7. Join the course Slack channel. You should receive an invitation via your Harvard email.
  8. Sign up for an account at codeshare. We will use this for in-class coding exercises.

Neurobiology 306qc: Quantitative Methods for Biologists

August 2021

The goals of this course are to introduce students to programming in the MATLAB environment and to begin using this tool for analyzing data and for gaining intuition about the behavior of complex systems through the use of numerical simulations.

Note: More details can be found by going to the Division of Medical Sciences website, then clicking Current Students and selecting Quarter Courses.


Mike Springer and Rick Born

Dates and Location

The first week will cover introductory programming interspersed with some stats and image analysis. If you know how to program, come and do the exercise, but you will probably leave early. Full days of instruction are usually followed by half-days for review and practise. Attendance at half-day sessions is optional. There will be short breaks throughout and a longer lunch break.

Pre-Course (asynchronous)
Tuesday, August 2nd Begin Quantitative Methods for Biology MOOC
Course (all times are EDT)
Monday, 8/9 9:30-4:00pm Introduction part 1 Zoom link
Tuesday, 8/10 1pm-3pm Open Office Hours (optional) Zoom link
Wednesday, 8/11 9:30-4:00pm Introduction part 2 Zoom link
Thursday, 8/12 1pm-3pm Open Office Hours (optional) Zoom link
Friday, 8/13 9:30-4:00pm Introduction part 3 Zoom link
Monday, 8/16 9:30-4:00pm Statistics Zoom link
Tuesday, 8/17 1pm-3pm Open Office Hours (optional) Zoom link
Wednesday, 8/18 9:30-4:00pm Image analysis Zoom link
Thursday, 8/19 1pm-3pm Open Office Hours (optional) Zoom link
Friday 8/20 9:30-4:00pm Special topics Zoom link


Email Mike Springer if you haven't registered but want to.


You can find more information about course content, passing requirements and prerequisites here

Teaching fellows