• MATH 5570: Actuarial Math I

  3.00 Credits

  Utah State University

  
  Introduction to theory of risk and its application to construction and analysis of models for insurance systems. Prerequisite/Restriction: C- or better in MATH 5710, STAT 3000, and permission of instructor. Semester(s) Traditionally Offered: Taught as needed
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• MATH 5580: Actuarial Math II

  3.00 Credits

  Utah State University

  
  Continuation of MATH 5570. Prerequisite/Restriction: C- or better in MATH 5570.
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  General Education Course

  This course is a general education course.

• MATH 5610: Computational Linear Algebra

  2.00 Credits

  Utah State University

  
  Students learn numerical solutions of systems of linear and nonlinear equations, methods for eigensystems, least squares problems, finding roots of functions and nonlinear systems, and constrained and unconstrained optimization. Prerequisite/Restriction: MATH 4610 or equivalent
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• MATH 5620: Numerical Algorithms for Approximate Solutions of DE

  2.00 Credits

  Utah State University

  
  Students solve initial value problems (IVP) and boundary value problems (BVP) in one dimension using standard methods. Topics include implicit and explicit methods, local and global error, stability, consistency and convergence, predictor-corrector methods and Runge-Kutta schemes, multi-step methods, and finite-difference methods for BVP. Prerequisite/Restriction: MATH 4610 MATH 2250 or 2280 with a C- or better
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• MATH 5645: Mathematical Methods for Data Science

  3.00 Credits

  Utah State University

  
  This course provides an in-depth overview of important mathematical principles and methods that underlie state-of-the art data science, statistical, and machine learning methods with a focus on linear algebra and multivariate calculus and their data science applications. Additional coursework is required for those enrolled in the graduate-level course. Prerequisites/Restrictions: Graduate standing or: MATH 1210 STAT 3000 or MATH 5710 MATH 1220 and MATH 2270 are recommended Experience programming in Python, R, or Matlab is essential for success in the course Cross/Dual listed as: MATH 6645, STAT 5645, STAT 6645
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• MATH 5710: Introduction to Probability

  3.00 Credits

  Utah State University

  
  Students study discrete and continuous probability, random variables, the distribution and density function, joint distributions, conditional probabilities and expectations, Bayes' theorem, moments, moment generating functions, inequalities, convergence in probability and distribution, and central limit theorem. Prerequisite(s): MATH 1220 (with a C- or better), or AP Calculus score of 5 on the BC exam Repeatable for credit: No Grade Mode: Standard
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• MATH 5720: Introduction to Mathematical Statistics

  3.00 Credits

  Utah State University

  
  Basic theory of point and interval estimation and hypothesis testing. Topics include: sufficiency and completeness; method-of-moments, best unbiased, maximum likelihood, Bayes', and empirical Bayes' estimators; Neyman-Pearson lemma; and likelihood ratio tests. Prerequisite/Restriction: C- or better in MATH 5710.
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• MATH 5760: Applied Stochastic Processes

  2.00 Credits

  Utah State University

  
  This course introduces students to the basics of stochastic processes without using the machinery of measure theory. Topics include discrete and continuous time Markov processes and an introduction to stochastic differential equations. Prerequisite/Restriction: MATH 5710 with a C- or better
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• MATH 5810: Topics in Mathematics

  1.00 - 3.00 Credits

  Utah State University

  
  This course explores a particular topic in greater depth and with narrower focus than a conventional course. Prerequisite/Restriction: Instructor permission. Repeatable for credit.
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• MATH 5820: Topics in Mathematics

  1.00 - 3.00 Credits

  Utah State University

  
  This course explores a particular topic in greater depth and with narrower focus than a conventional course. Prerequisite/Restriction: Instructor permission. Repeatable for credit.
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