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Academic Catalog 2025-26

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Your search for courses · during 26WI · tagged with MATH Applied Mathematics · returned 3 results

  • MATH 240 Probability 6 credits

    Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

    • Winter 2026
    • FSR, Formal or Statistical Reasoning
    • Student has completed any of the following course(s): MATH 120 or MATH 211 or greater with a grade of C- or better or received a Carleton MATH 211 or better Requisite Equivalency or equivalent.

    • CL: 200 level ENTS Quantitative Methods MATH Electives SDSC Math Stats Elective STAT Core MATH Applied Mathematics
    • MATH  240.01 Winter 2026

    • Faculty:Andy Poppick 🏫 👤
    • Size:30
    • M, WCMC 306 12:30pm-1:40pm
    • FCMC 306 1:10pm-2:10pm
    • Two seats held until the day after Junior Priority registration.

  • MATH 241 Ordinary Differential Equations 6 credits

    Ordinary differential equations are a fundamental language used by mathematicians, scientists, and engineers to describe processes involving continuous change. In this course we develop ordinary differential equations as models of real world phenomena and explore the mathematical ideas that arise within these models. Topics include separation of variables; phase portraits; equilibria and their stability; non-dimensionalization; bifurcation analysis; and modeling of physical, biological, chemical, and social processes.

    • Winter 2026
    • FSR, Formal or Statistical Reasoning
    • Student must have completed any of the following course(s): MATH 134 or MATH 232 AND MATH 120 or MATH 211 with a grade of C- or better or equivalents.

    • CL: 200 level MATH Electives PHYS Addl Recommended MATH Applied Mathematics
    • MATH  241.01 Winter 2026

    • Faculty:Rob Thompson 🏫 👤
    • Size:30
    • M, WCMC 206 1:50pm-3:00pm
    • FCMC 206 2:20pm-3:20pm
  • STAT 250 Introduction to Statistical Inference 6 credits

    Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.

    • Winter 2026
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • Student has completed any of the following course(s): MATH 240 with a grade of C- or better.

    • CL: 200 level DGAH Skill Building ENTS Quantitative Methods MATH Electives SDSC Math Stats Elective STAT Core MATH Applied Mathematics
    • STAT  250.01 Winter 2026

    • Faculty:Adam Loy 🏫 👤
    • Size:28
    • M, WCMC 306 1:50pm-3:00pm
    • FCMC 306 2:20pm-3:20pm

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 28 January 2026
Carleton

One North College StNorthfield, MN 55057USA

507-222-4000

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