Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything

Lecture, three hours; discussion, one hour. Requisites: courses 31A, 31B, 32A, 32B, 33A, one statistics course from Statistics 10, 12, 13, one programming course from Computer Science 31, Program in Computing 10A, Statistics 20. Introduction to data-driven mathematical modeling combing data analysis with mechanistic modeling of phenomena from various applications. Topics include model formulation, data visualization, nondimensionalization and order-of-magnitude physics, introduction to discrete and continuous dynamical systems, and introduction to discrete and continuous stochastic models. Examples drawn from many fields and practice problems from Mathematical Contest in Modeling. P/NP or letter grading.

Review Summary

Clarity
1.7 / 10
Organization
3.3 / 10
Time
10-15 hrs/week
Overall
0.0 / 10

Enrollment Progress

Mar 9, 3 PM PST
LEC 1: 33/38 seats taken (Open)
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Section List

  • LEC 1

    Open (2 seats)

    MWF 12pm-12:50pm

    Geology Building 3656

    Review

Reviews

    Quarter Taken: Spring 2024 In-Person
    Grade: A-

    The lectures and the teachers made the extremely simple coursework confusing. The actual material is at a AP Stats level but the grading is unexpectedly harsh. I learned effectively nothing from the class.

Course

Instructor
Johnson, C.L.
Previously taught
24S 23F

Grading Information

  • Has a group project

  • Attendance not required

  • 2 midterms

  • No final

  • 0% recommend the textbook

Previous Grades

Grade distributions not available.