Majid Zaremehrjardy

EAS 405 - Geoscience Data Analysis

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 429 - Practical Study in Earth and Atmospheric Science

Intensive field or practical study in EAS, typically as part of a team working off-campus. Details and areas of study may vary from year to year; consult the department about current offerings, fees and timing. Prerequisite: Any 300-level EAS course and permission of the department. [Faculty of Science] Requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.

EAS 505 - Geoscience Data Analysis

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]

EAS 520 - Reading and Seminar Course

[Faculty of Science]

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