EESC 5573 Geophysical Modeling

This course will teach the fundamental concepts of mathematical geophysical modeling. Specifically, we will discuss forward, physics-based models that describe the temporal and spatial evolution of geologic systems (e.g., heat transport, chemical advection/diffusion, sediment transport, fluid flow, precipitation/dissolution). Students will learn how to formulate mathematical descriptions of geologic variables and then solve these equations numerically. The class will focus on numerical solutions to box models and 1-D & 2-D problems utilizing finite-difference methods. However, students will also be exposed to other numerical approaches (e.g., finite-element and finite-volume), as well as how models can be extended to higher dimensions. An emphasis will be placed on practical problem-solving skills required for research in the earth and environmental sciences.

Course overview

Department
Earth and Environmental Sciences
School
MCAS
Credits
3
Level
Both
Offered
Periodically

Catalog details

Prerequisites
Prerequisites: Multivariable calculus; or the permission of the instructor. Suggested background: Linear Algebra and Differential Equations

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
5.00 / 5 · Excellent
7 responses
Instructor rating
5.00 / 5 · Excellent
7 responses
Terms evaluated
1
Most recent: Spring 2023

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2023Mark D Behn5.05.05.05.05.05.04.94.94–6 hrs/week7 of 9

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Mark D Behn
    Fall 2026, Spring 2023 · Official rating 5.00/5

Sections

  • Section 01
    Fall 2026 · Mark D Behn · Devlin Hall 307 MW 10:30AM-11:45AM · Offered