Learning outcomes common to the Major in Mathematics and all Minors
Students will develop knowledge and skills in the following categories:
Formulate general principles from examples.
Understand the role and limitations of axioms and assumptions.
Interpret and draw inferences from mathematical models and results.
Assess the accuracy and implications of mathematical results.
Have a breadth of general knowledge as well as depth in at least one area.
Make vague ideas precise by representing them in mathematical notation.
Apply a range of mathematical and computational tools and techniques.
Formulate a precise mathematical statement from ideas.
Be able to present a mathematical argument to the targeted audience.
Write logically correct proofs in an abstract mathematical setting.
Learning outcomes for the Major in Mathematical Data Science
Develop proficiency with mathematical, statistical, and computational models and algorithms, along with programming languages and computing environments, to formulate and execute advanced data analyses.
Obtain, process, clean, and organize data effectively.
Plan and execute data intensive investigations to find solutions to problems or help make decisions.
Interpret and effectively communicate data analysis findings in various formats.
For our minors (applied math, mathematical finance, mathematical
physics, mathematical biology, etc.) and our Math modified with
Philosophy major, we have two additional learning outcomes:
Have a breadth of knowledge in the associated field.
Understand the interactions between mathematics and
the associated field and demonstrate the ability to apply mathematical
concepts and techniques to problems in that field.
Last modified on January 16, 2024
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