All Courses
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EEE4773 - Fundamentals of Machine Learning
(3 credits) Overview of machine intelligence and the role of machine learning in a variety of real-world problems. Probability and statistics to handle uncertain data. Topics covered include learning models from data in both a supervised and unsupervised fashion, linear models and non-linear models for classification, and linear dimensionality reduction.
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EEL3850 - Data Science for ECE
(4 credits) Analysis, processing, simulation, and reasoning of data. Includes data conditioning and plotting, linear algebra, statistical methods, probability, simulation, and experimental design.
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BSC2862 - Global Change Ecology and Sustainability
This course provides an overview of evolutionary ecology, selected aspects of global change with emphasis on climate change. Tools for sustainability are referenced throughout the course. Exams will be short answer, short essay, and long essay. Students are required to read and understand selected papers from the scientific peer-reviewed literature.
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BSC3307C - Climate Change Biology
The course covers climate change and its impacts on biological communities, feedbacks from the biosphere to the climate system, and human impacts on the carbon cycle. Impacts of climate change on human health are reviewed. Readings and discussions will emphasize the response of vegetation to climate change and rising atmospheric CO2 concentrations and the role of terrestrial ecosystems in regulating climate via the carbon cycle.