AMTH - Bachelor of Arts in Applied Mathematics ~ Applied Mathematics Concentration
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1. Proficiency with conceptual, analytical, and computational methods in calculus and calculus-based modeling.
2. General capability with programming syntax and structures that are relevant in computational mathematics and data science.
3. Build a thorough foundation in probability theory.
4. With a deep understanding of the connection between algebraic and graphical representations, be able to curate and prepare visual representations of both theoretical objects/relationships and empirical data for the purposes of intuition building, visual analysis, and communication of results.
5. Gain extensive practice applying, combining, and innovating with problem solving strategies for both pure and applied problems, including problems for which specifically similar examples have not been provided.
6. Develop and refine confident fluency in matrix algebra with theoretical rigor and familiarity with applications to scientific and economic modeling, statistical and data analysis applications, and vectorized coding.
7. Build a toolbox of relevant statistical inference methods that is well-integrated into the foundation of probability theory.
8. With capstone coursework or undergraduate research, focus foundational studies around a concrete area of career or academic aspiration in contemporary applied mathematics.