Notation in Computational Finance

The notation in Computational Finance will comprise three courses (with an optional fourth course) that can be completed over a period of four semesters. Learning outcomes include the following:

  • Proficiency in manipulating financial datasets.

  • The application of analytical models and machine learning algorithms to challenging financial problems.

  • A capstone project with academic and industry mentors that will include significant modeling and analysis against a real world financial dataset.

BUFN400 Introduction to Financial Markets and Financial Datasets is the first course in the notation.

It will be taught in Fall 2022 by Professor Pete Kyle, Distinguished University Professor and Charles E. Smith Chair in Finance.

Fall meeting time is Monday and Wednesday 2:00 to 3:15 p.m.

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