Course Schedule and Catalog
Course Schedule - Spring Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
EEPS 440 001 (CRN: 26745)
GEOSPATIAL DATA SCIENCE
Long Title: GEOSPATIAL DATA SCIENCE
Department: Earth/Environmnt/Planetary Sci
Instructor: Vergopolan Da Rocha, Noemi
Meeting: 4:00PM - 5:15PM TR (13-JAN-2025 - 25-APR-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: MATH 211 OR MATH 220 OR MATH 354
Section Max Enrollment: 18
Section Enrolled: 4
Total Cross-list Max Enrollment: 36
Total Cross-list Enrolled: 16
Enrollment data as of: 26-DEC-2024 5:09AM
Final Exam: Scheduled Final Exam-OTR Room
Description: This course provides a comprehensive foundation in computational tools and machine learning techniques for exploring geospatial data-driven insights across disciplines. Students will develop key skills in Python programming, data analysis, and machine learning, applying these techniques to large and complex datasets in areas like climate, hydrology, and remote sensing. Through hands-on assignments and projects, students will learn to handle multi-dimensional data, visualize patterns, and perform statistical, spatial, and machine learning analyses to address real-world environmental challenges. Cross-list: EEPS 640. Recommended Prerequisite(s): STAT 280 Mutually Exclusive: Cannot register for EEPS 440 if student has credit for EEPS 640.