SWS 6722 Soil-Landscape Modeling — Integrative Ecosystem Modeling

(offered < 2024)

On-campus course 

Course Objectives: The goal of this class is to explore various concepts, qualitative and quantitative methods to model and understand soil-landscape systems considering its biological and chemical composition, physical environment, social dimension, as well as values, needs, beliefs, and perceptions of people and stakeholders. Understanding the totality of an ecosystem facilitates to better infer on environmental consequences (e.g., carbon dynamics, fate of nutrients, environmental induced trauma of people, environmental justice and gentrification, degradation of ecosystems and well-being of people). The specific course objectives are to:

1. Analyze and understand relationships between various dimensions of the soil-landscape system as an integrated whole.

2. Explore model approaches (specifically AI: machine learning and deep learning) to assess, predict, simulate, and understand behaviors and responses to changes from an integrative ecosystem perspective.

3. Synthesize understanding of the totality of soil-landscapes into complex models.

Format: Lectures and projects 
Credits: 3
Time: Spring semester odd years​