Fall 2017 Course Descriptions

COMP 150-01 Machine Learning for Ecology and Sustainability

L. Liu
MW 1:30-2:45, Collaborative Learning and Innovation Complex 204
G+ Block

This course will focus on machine learning methods for ecological and environmental study. We will cover three topics: data collection with learning system, data modeling in ecosystem, and policy making for sustainability. Data collection needs machine learning in tasks like noise reduction, sensor data processing, and effort allocation. Data modeling builds statistical/ML models to answer our ecological questions about the ecosystem. Policy making aims to optimize a policy of management through mathematical optimization with uncertainty. In this course, we will mainly read papers from related fields after a short tutorial of machine learning at the beginning. Basic statistics is necessary.

Prerequisite: Previous courses in machine learning or artificial intelligence are helpful but not required.

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