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  • Courseware 
    Mathematical Modeling Basics

    Mathematical Modeling Basics

    How do populations grow? How do viruses spread? What is the trajectory of a glider? Many real-life problems can be described and solved by mathematical models. In this course, you will form a team with another student and work in a project to solve a real-life problem. You will learn to analyze your chosen problem, formulate it as a mathematical model (containing ordinary differential equations), solve the equations in the model, and validate your results. You will learn how to implement Euler’s method in a Python program. If needed, you can refine or improve your model, based on your first results. Finally, you will learn how to report your findings in a scientific way. This course is mainly aimed at Bachelor students from Mathematics, Engineering and Science disciplines. However it will suit anyone who would like to learn how mathematical modeling can solve real-world problems.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Mathematical models
    Resource Type:
    Courseware
     
  • Courseware 
    Work

    Elliptic Curves

    This graduate-level course is a computationally focused introduction to elliptic curves, with applications to number theory and cryptography.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Curves Elliptic
    Resource Type:
    Courseware
     
  • Courseware 
    Work

    Number Theory I

    This is the first semester of a one year graduate course in number theory covering standard topics in algebraic and analytic number theory. At various points in the course, we will make reference to material from other branches of mathematics, including topology, complex analysis, representation theory, and algebraic geometry.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Number theory Algebraic number theory
    Resource Type:
    Courseware