You might, for example, be thinking of majoring in Business or Economics-BA, which require at least the Calculus course MATH 120, and perhaps MATH 121. (MATH 120-121 is a "terminal" sequence--you learn concepts of calculus, but you are not trained at a technical level, so these courses would not prepare you to follow up with a course such as Differential Equations (MATH 246), Linear Algebra (MATH 240 or 461) or a calculus-based probability and statistics (STAT 400).

For MATH 120, the math placement test becomes more ... interesting. A preprequisite course to MATH 120 is the course MATH 113 (College Algbebra with Applications), or a suitable score on the Math Placement Exam. The material of MATH 113 can be covered in high school, but MATH 113 does carry University credit; you can see how you fare on this material by looking at the course syllabus for MATH 113, and perhaps checking out some past MATH 113 exams on TESTBANK, our online archive of past exams.

The advice here would be the same as above, with some additions. First, if you can get a good preparation in the precalculus material in high school--do it!--so long as you still get a solid algebra preparation. Every course opportunity in college is precious (not to mention expensive), and it is better to do in high school what you can.

Second, be careful about your choice of calculus sequence. MATH 120 is the right choice for most business or econ majors, but it imposes limits. For example, it is unwise (perhaps suicidal) to attempt graduate school in Economics after advancing in math only through the level of first year calculus. (Former Math/Econ double majors tell us that the math classes most useful to them in Economics grad school were their junior level theory-and-proof courses, Math 410 and 411.)

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  • High order positivity-preserving entropy stable discontinuous Galerkin discretizations

    Speaker: Jesse Chan (Rice University) - https://profiles.rice.edu/faculty/jesse-chan

    When: Tue, September 12, 2023 - 3:30pm
    Where: Video https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=b2682da3-4e16-451e-93d2-b08501795c20&start=450
  • Fast and Accurate Boundary Integral Methods for Two-Phase Flow with Surfactant

    Speaker: Michael Siegel (New Jersey Institute of Technology) - https://people.njit.edu/faculty/misieg

    When: Tue, September 26, 2023 - 3:30pm
    Where: Video https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=94e6c1a5-c63b-494c-88ea-b089017d03d0
  • A Low Rank Tensor Approach for Nonlinear Vlasov Simulations

    Speaker: Jingmei Qiu (University of Delaware) - https://jingmeiqiu.github.io/

    When: Tue, October 3, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=eb06dce2-9eeb-4f6f-baf2-b0930115f592
  • Riemannian optimization and Riemannian Langevin Monte Carlo for PSD fixed rank constraints

    Speaker: Xiangxiong Zhang (Purdue University) - https://www.math.purdue.edu/~zhan1966/

    When: Tue, October 10, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ed687d23-01aa-43b9-99fa-b09b009076b6
  • Hydrodynamics of Liquid Crystals on Curved Thin Films: Modeling and Numerics

    Speaker: Lucas Bouck (Carnegie Mellon University) - https://lbouck.github.io/

    When: Tue, October 17, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=76bd642a-c58d-42aa-9a61-b0a601108db9
  • Dynamical low-rank methods for high-dimensional collisional kinetic equations

    Speaker: Jingwei Hu (University of Washington) - https://jingweihu-math.github.io/webpage/

    When: Tue, October 24, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=434a41d5-a296-4b51-a454-b0a601108db8
  • Numerical methods for hydrodynamics at small scales

    Speaker: Sean Carney (George Mason University ) - https://math.gmu.edu/~scarney6/

    When: Tue, October 31, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e4f592ef-ae46-4bb6-ad3c-b0c30155d802
  • Low-rank PINNs for model reduction of nonlinear hyperbolic conservation laws

    Speaker: Donsub Rim (Washington University in St. Louis) - https://dsrim.github.io/

    When: Tue, November 7, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1e3026f5-d13e-4e64-8aa5-b0c30155d807
  • Optimization on Matrix Manifolds, with Applications in Data Science

    Speaker: Pierre-Antoine Absil (University of Louvain) - https://sites.uclouvain.be/absil/

    When: Tue, November 14, 2023 - 3:30pm
    Where: Kirwan Hall 3206
  • Jaywalking at the Intersection of Machine Learning and Interesting Math

    Speaker: Michael Puthawala (South Dakota State University) - https://www.sdstate.edu/directory/michael-puthawala

    When: Tue, November 21, 2023 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c3071a68-22fa-4e5c-b86d-b0c30155d802
  • Towards efficient deep operator learning for forward and inverse PDEs: theory and algorithms

    Speaker: Ke Chen (University of Maryland College Park) - https://math.umd.edu/~kechen/

    When: Tue, November 28, 2023 - 4:30pm
    Where: Brin Math Center Colloquium Room
  • The Obstacle Problem: Pointwise Adaptive Finite Element Method and Optimal Control

    Speaker: Rohit Khandelwal (George Mason University) - https://rohitedu.github.io/

    When: Tue, December 5, 2023 - 3:30pm
    Where: Kirwan Hall 3206
  • Waveform Inversion via Reduced Order Modeling

    Speaker: Liliana Borcea (University of Michigan) - https://websites.umich.edu/~borcea/

    When: Tue, January 30, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d13c17ba-7eaf-42a5-80ac-b12a013c35ee
  • Error control in a diffusion map-based PDE solver

    Speaker: Maria Cameron (University of Maryland) - https://www.math.umd.edu/~mariakc/

    When: Tue, February 6, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=47566412-eba1-4592-9459-b12a013c35d5
  • Coarsening and mean field control of volatile droplets

    Speaker: Hangjie Ji (North Carolina State University) - https://hji5.math.ncsu.edu/

    When: Tue, February 13, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Nonlinear scientific computing in machine learning and applications

    Speaker: Wenrui Hao (Pennsylvania State University) - https://sites.psu.edu/whao/

    When: Tue, February 20, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a2bf1a52-28f2-4724-8579-b12a013c35d5
  • Quantum algorithms for linear differential equations

    Speaker: Dong An (University of Maryland College Park) - https://dong-an.github.io/

    When: Tue, February 27, 2024 - 3:30pm
    Where: Video: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5597b928-6293-43f2-b864-b12a013c35f0
  • Data-adaptive RKHS regularization for learning kernels in operators

    Speaker: Fei Lu (Johns Hopkins University) - https://math.jhu.edu/~feilu/

    When: Tue, March 5, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Approximation of differential operators on unknown manifolds and applications

    Speaker: John Harlim (Pennsylvania State University) - https://jharlim.github.io/myhomepage/

    When: Tue, March 12, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Numerically stable methods for electromagnetic scattering in layered media

    Speaker: Mike O'Neil (New York University) - https://cims.nyu.edu/~oneil/

    When: Tue, March 26, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Differentiable physics for turbulence closure modeling from data

    Speaker: Romit Maulik (Pennsylvania State University) - https://romit-maulik.github.io/

    When: Tue, April 2, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • An effective discretization scheme for singular integral operators on surfaces

    Speaker: James Bremer (University of Toronto) - https://www.math.ucdavis.edu/~bremer/

    When: Tue, April 9, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • A Domain Decomposition Method for Solution of a PDE-Constrained Generalized Nash Equilibrium Model of Biofilm Community Metabolism

    Speaker: Daniel B. Szyld (Temple University) - https://www.math.temple.edu/~szyld/

    When: Tue, April 16, 2024 - 3:30pm
    Where: AVW 1146 (ISR)
  • Solution of Forward and Inverse Problems for Extreme-Scale 1-km-Resolution Earth Mantle Models

    Speaker: Johann Rudi (Virginia Tech) - https://math.vt.edu/people/faculty/rudi-johann.html

    When: Tue, April 23, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • An exact and efficient algorithm for Basis Pursuit Denoising via differential inclusions

    Speaker: Gabriel Provencher Langlois (Courant Institute of Mathematical Sciences, NYU) - https://gabrielpl.com/

    When: Tue, April 30, 2024 - 3:30pm
    Where: Kirwan Hall 3206