Course Syllabus

The new 2020 course has many modules and has updated course content to optimize online learning.

General Information

Beaver Works Summer Institute Remote Sensing program will offer students the opportunity to explore the exciting intersection of data science and disaster response. The program consists of two components: (1) online course from January to May 2020, open to all interested and committed students; and (2) a four-week virtual summer program. During the course, the students will learn to understand the basics of Python, Git, GIS, machine learning, and image processing through a series of online teaching modules. Students will explore real world datasets featuring disaster imagery from both satellites and aerial platforms. Students in this course will develop experience in an area of data science that is poised to play a critical role in understanding our world.

Lead Instructor

Jeffrey Liu, Ph.D.

Co-Instructor

Rene Andres Garcia-Franceschini

Teaching Assistants

Omkar Bhalerao
Pratyush Das
Andrew Mascillaro
Anne Marie Stupinski

Syllabus

Week Day Topic
Week 1 July 6 Welcome to Beaver Works Summer Institute; Remote Sensing Course Overview
July 7 Introduction to Python and Pandas
July 8 Guest Seminar Day: Humanitarian Assistance and Disaster Relief Group at MIT Lincoln Lab
July 9 Intro to Geospatial Information Systems in Python Guest: Chad Council, MIT LL
July 10 GIS and Networks in Python
Week 2 July 13 Advanced GIS: Raster and Vector Data Sources
July 14 Advanced GIS: Intro to Imagery
July 15 FEMA Guest Lecture Day
July 16 Image Processing continued, intro to satellite imagery Guest: Sean Anklam, MIT LL
July 17 Satellite Imagery Continued
Week 3 July 20 Civil Air Patrol and Aerial Imagery Guests: Dave Strohschein, MIT LL, Andrew Weinert, MIT LL
July 21 Introduction to Convolutional Neural Networks
July 22 Convolutional Neural Networks (Continued)
July 23 Structure from Motion and Georeferencing imagery
July 24 Additional Deep Learning for Image Processing Guest: TBD
Week 4 July 27 Decision Making for HADR Applications Guest: Mischa Shattuck, MIT LL
July 28 Optimization, graphs, and networks
July 29 Final Event Day 1 (Preparation)
July 30 Final Event Day 2 (Simulation Day 1)
July 31 Final Event Day 3 (Simulation Day 2)