Applications of Data Analysis, Visualization, and Machine Learning
Examine computational approaches to take advantage of complex data. Explore addressing real-world geoscience challenges using the Python programming language and Jupyter computational notebooks. Discuss techniques in data analysis, modeling, and machine learning for subsurface characterization applicable to resource assessment and geomorphology and stratigraphy applicable to hazard assessment. Geological Sciences 396D (Topic 2) and 398D (Topic 2) may not both be counted.
Prerequisites & course information
Examine computational approaches to take advantage of complex data. Explore addressing real-world geoscience challenges using the Python programming language and Jupyter computational notebooks. Discuss techniques in data analysis, modeling, and machine learning for subsurface characterization applicable to resource assessment and geomorphology and stratigraphy applicable to hazard assessment. Geological Sciences 396D (Topic 2) and 398D (Topic 2) may not both be counted.
Sources
- Course catalogue ↗2026-2027