Mathematical modeling is about ...

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Other courses, including an Independent Research Project, might be offered depending on the academic background of the students admitted to the program.

The aim is to learn and master the mathematical and computational foundations necessary for students majoring in Math to deepen their knowledge and practical skills in areas related to modeling.

The  learning outcomes are:

• To master the core results needed to develop mathematical models for concrete problems.
• To gain experience utilizing the main software tools related to these fields and be able to solve relevant modeling problems.
• To participate in projects that solve or explore problems with modeling tools and in cocurricular activities that showcase how mathematicians are currently collaborating with multiple sectors to solve problems.
• To discover aspects of the Mexican culture by immersing themselves in one of its most vibrant historical cities in the heartland of Mexico.

Successful applicants will:

• Be currently enrolled in a higher education institution, pursuing a major that includes components involving Mathematics, Statistics, Data Science, or Computer Science.
• Have studied at least one linear algebra course and the standard calculus sequence ending with multivariate calculus.
  • In calculus, the applicant should be familiar with the notions of integration, derivatives, series, and limits.
  • In linear algebra, the student should be familiar with the concepts of vector spaces, bases, dimensions, matrices, linear transformations, determinants, and kernels.
  • In multivariate calculus, the student should be familiar with the concepts of derivative of a map from R^d to R^k for d and k up to three, chain rule, Hessian, maxima and minima, gradient, cross and dot products.
  • Have taken a course on, or have had prior experience with proof writing.