EAS 405 - Geoscience Data Analysis

★ 3 (fi 6)(EITHER, 0-0-3)

Quality control and manipulation of Geoscience datasets for analysis and interpretation. Computational theory, programming techniques, basic statistics, uncertainty, spatial data analysis, data visualization, data science techniques, and machine learning methods. Prerequisite: Any 300-level EAS course, EAS 221, and a 100-level MATH or STAT course, or permission of instructor. [Faculty of Science]

EAS 505 - Geoscience Data Analysis

★ 3 (fi 6)(EITHER, 0-0-3)

Quality control and manipulation of Geoscience datasets for analysis and interpretation. Computational theory, programming techniques, basic statistics, uncertainty, spatial data analysis, data visualization, data science techniques, and machine learning methods. Prerequisite: permission of instructor. [Faculty of Science]