Course Schedule - Spring Semester 2022

     

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.

CEVE 543 001 (CRN: 25763)

ENVIRONMENTAL DATA SCIENCE

Long Title: ENVIRONMENTAL DATA SCIENCE
Department: Civil & Environmental Engr
Instructor: Doss-Gollin, James W.
Meeting: 2:30PM - 3:45PM TR (10-JAN-2022 - 22-APR-2022) 
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):
Graduate
Section Max Enrollment: 20
Section Enrolled: 9
Enrollment data as of: 27-MAY-2024 1:24AM
 
Additional Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
Description: Introduction to the modeling and analysis of environmental data with a rigorous grounding in probability, optimization, and understanding of underlying physical mechanisms. This course will place a particular focus on the iterative process of building, computing, and critiquing predictive models of environmental processes. Assignments will use the Julia programming language, which will be introduced in the course. Recommended Prerequisite(s): A first course in statistical modeling (STAT 312, STAT 315, CEVE 313, or equivalent) and linear algebra (CAAM 335, MATH 355, or equivalent) is strongly recommended. Additional experience with statistics, optimization, programming, and/or machine learning will prove helpful.