Middlebury

MATH 0315

Mathematical Modeling

Mathematical modeling
An introduction into the process of developing and interpreting mathematical models within the framework of numerous applications. In this course, we will utilize discrete, continuous, and probabilistic approaches to explore applications such as population dynamics, epidemiology, and neuron activity. Time permitting, we may also introduce the derivation of spatiotemporal models. MATLAB will be used to implement and analyze several of these models. (MATH 0200 and MATH 0225 or MATH 0226, or by instructor approval) 3 hrs. lect./disc
Subject:
Mathematics
Department:
Mathematics
Division:
Natural Sciences
Requirements Fulfilled:
CW DED
Equivalent Courses:

Sections

Fall 2022

MATH0315A-F22 Lecture (Crodelle)

Spring 2021

MATH0315A-S21 Lecture (Crodelle)

Fall 2018

MATH0315A-F18 Lecture (Olinick)
MATH0315Y-F18 Lab (Olinick)
MATH0315Z-F18 Lab (Olinick)

Fall 2016

MATH0315A-F16 Lecture (Olinick)
MATH0315Y-F16 Lab (Olinick)
MATH0315Z-F16 Lab (Olinick)

Spring 2013

MATH0315A-S13 Lecture (Olinick)

Spring 2011

MATH0315A-S11 Lecture (Olinick)

Spring 2009

MATH0315A-S09 Lecture (Dorman)

Spring 2007

MATH0315A-S07 Lecture (Olinick)

Spring 2005

MATH0315A-S05 Lecture (Olinick)
MATH0315Y-S05 Lab (Olinick)
MATH0315Z-S05 Lab (Olinick)