EAS 405 - Geoscience Data Analysis

★ 3 (fi 6)(EITHER, 0-0-3)

Faculty of Science

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]

No past terms
No future terms
No syllabi

Winter Term 2025

Labs

Section Capacity Class times Instructor(s)
LAB X01
(78694)
14
2025-01-06 - 2025-04-09 (W)
18:00 - 21:00
CAB 345
Co-Instructor: Eric Timmer
Co-Instructor: Majid Zaremehrjardy
Co-Instructor: Christopher Mallon