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+
Undergraduate Foundations of
Applied MathematicsApplied Mathematics
Jeffrey Humpherys
Brigham Young University
NSF Grant Nos.
DMS-CSUMS-0639328
CAREER-0847074
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+Concerns about Globalization and
American Competitiveness
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+As seen in Manufacturing and
Information Technology
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+Also in Retail and Financial
Markets
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+Innovation is Required for Long-
Term Economic Growth
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+Observation: Innovation Requires a
Strong STEM Workforce
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+Problem: Lack of Household
Participation in Math & Science
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+Proposed Solution: Government
Stimulating Growth in STEM Fields
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+Math is the Language of Science
� Odom Report
� Math sciences is the common language
in the pure and applied sciences.
� Allows for interdisciplinary interaction
US’s leadership position is fragile� US’s leadership position is fragile
� Greater investment is needed
� If you want to learn about nature…it is
necessary to understand the language
that she speaks in.
---Richard Feynman
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+Math is the Language of Science
� Odom Report
� Math sciences is the common language
in the pure and applied sciences.
� Allows for interdisciplinary interaction
US’s leadership position is fragile� US’s leadership position is fragile
� Greater investment is needed
� If you want to learn about nature…it is
necessary to understand the language
that she speaks in.
---Richard Feynman
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+Observation: Need New Models
for STEM Research and Education
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+Problem: Mathematicians usually
don’t play well with others.
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+Disconnected Disciplines
� When math sciences is disconnected from the scientific
community
� Disciplines develop their own specialized in-house expertise
� Jargon-laden communities form
� Reinvention of the wheel
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+Disconnected Disciplines
� When math sciences is disconnected from the scientific
community
� Disciplines develop their own specialized in-house expertise
� Jargon-laden communities form
� Reinvention of the wheel
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+Disconnected Disciplines
� When math sciences is disconnected from the scientific
community
� Disciplines develop their own specialized in-house expertise
� Jargon-laden communities form
� Reinvention of the wheel
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+Disconnected Disciplines
� When math sciences is disconnected from the scientific
community
� Disciplines develop their own specialized in-house expertise
� Jargon-laden communities form
� Reinvention of the wheel
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+Mathematics needs to assertits
leadership role in STEM.
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+NSF-CSUMS: Computational Science Training for
Undergraduates in the Mathematical Sciences
� Seeking new models for research and education in math
sciences with integrated strengths in computation.
� Cohort structure of 6 or more students
� Year long research experience
� Roughly 10k/student
� Cohort-level activities, seminars, etc.
� Strengthen research infrastructure, capacity
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+IMPACT: Interdisciplinary Mentoring
Program in Analysis, Computation, & Theory
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+Attract and Retain Students into the
Mathematical Sciences through:
� Interdisciplinary Research
� Attracts students with diverse interests into math
� Connects with faculty in different departments
� Modernized Curriculum
� Cuts through jargon, eliminates barriers, reduces redundancy� Cuts through jargon, eliminates barriers, reduces redundancy
� Makes mathematics, statistics, and computation the common core in pure and applied science
� Socialization and Team Building
� Vertically and horizontally integrated research groups
� Socialization provides a safety net, reduces attrition
� Industrial Cooperation
� Interesting problems, data, additional funding.
� Provides opportunities for internships, employment, entrepreneurship
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+Attract and Retain Students into the
Mathematical Sciences through:
� Interdisciplinary Research
� Attracts students with diverse interests into math
� Connects with faculty in different departments
� Modernized Curriculum
� Cuts through jargon, eliminates barriers, reduces redundancy� Cuts through jargon, eliminates barriers, reduces redundancy
� Makes mathematics, statistics, and computation the common core in pure and applied science
� Socialization and Team Building
� Vertically and horizontally integrated research groups
� Socialization provides a safety net, reduces attrition
� Industrial Cooperation
� Interesting problems, data, additional funding.
� Provides opportunities for internships, employment, entrepreneurship
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+Attract and Retain Students into the
Mathematical Sciences through:
� Interdisciplinary Research
� Attracts students with diverse interests into math
� Connects with faculty in different departments
� Modernized Curriculum
� Cuts through jargon, eliminates barriers, reduces redundancy� Cuts through jargon, eliminates barriers, reduces redundancy
� Makes mathematics, statistics, and computation the common core in pure and applied science
� Socialization and Team Building
� Vertically and horizontally integrated research groups
� Socialization provides a safety net, reduces attrition
� Industrial Cooperation
� Interesting problems, data, additional funding.
� Provides opportunities for internships, employment, entrepreneurship
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+Attract and Retain Students into the
Mathematical Sciences through:
� Interdisciplinary Research
� Attracts students with diverse interests into math
� Connects with faculty in different departments
� Modernized Curriculum
� Cuts through jargon, eliminates barriers, reduces redundancy� Cuts through jargon, eliminates barriers, reduces redundancy
� Makes mathematics, statistics, and computation the common core in pure and applied science
� Socialization and Team Building
� Vertically and horizontally integrated research groups
� Socialization provides a safety net, reduces attrition
� Industrial Cooperation
� Interesting problems, data, additional funding.
� Provides opportunities for internships, employment, entrepreneurship
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+Program Outline
� Summer Bootcamp (8 weeks)
� Learn advanced linear algebra, optimization, signal processing, dynamical systems, control theory, statistics…
� Long days, ask students to put in a minimum of 60 hours/week
� Computer labs integrate with instruction.� Computer labs integrate with instruction.
� School Year
� Break out into research groups
� Weekly meetings
� Local MAA conference in March
� Spring Wrap-up
� Work on finished product
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+Progress To Date
� 50 student participants (roughly 40 CSUMS, 10
other)
� 17 from under-represented groups (roughly 1/3)
� Several papers, conference talks, and posters
� Excellent graduate school placements
� Increase in Math-Science majors (math department
up 50% in 5 years, hard to assign credit)
� 2 marriages, 1 serious relationship…
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+Lessons Learned
� Investigators are tired…comes at a high cost
� Large-scale undergraduate research is financially
unsustainable
� Need a model that integrates research and � Need a model that integrates research and
mentoring into the curriculum
� Need a tightly coordinated curriculum so that we
can teach more efficiently
� Need to completely rethink our approach to how
we teach computation
� Need more courses in application areas
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+Lessons Learned
� Investigators are tired…comes at a high cost
� Large-scale undergraduate research is financially
unsustainable
� Need a model that integrates research and � Need a model that integrates research and
mentoring into the curriculum
� Need a tightly coordinated curriculum so that we
can teach more efficiently
� Need to completely rethink our approach to how
we teach computation
� Need more courses in application areas
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+Lessons Learned
� Investigators are tired…comes at a high cost
� Large-scale undergraduate research is financially
unsustainable
� Need a model that integrates research and � Need a model that integrates research and
mentoring into the curriculum
� Need a tightly coordinated curriculum so that we
can teach more efficiently
� Need to completely rethink our approach to how
we teach computation
� Need more courses in application areas
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+Lessons Learned
� Investigators are tired…comes at a high cost
� Large-scale undergraduate research is financially
unsustainable
� Need a model that integrates research and � Need a model that integrates research and
mentoring into the curriculum
� Need a tightly coordinated curriculum so that we
can teach more efficiently
� Need to completely rethink our approach to how
we teach computation
� Need more courses in application areas
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+Lessons Learned
� Investigators are tired…comes at a high cost
� Large-scale undergraduate research is financially
unsustainable
� Need a model that integrates research and � Need a model that integrates research and
mentoring into the curriculum
� Need a tightly coordinated curriculum so that we
can teach more efficiently
� Need to completely rethink our approach to how
we teach computation
� Need more courses in application areas
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+Lessons Learned
� Investigators are tired…comes at a high cost
� Large-scale undergraduate research is financially
unsustainable
� Need a model that integrates research and � Need a model that integrates research and
mentoring into the curriculum
� Need a tightly coordinated curriculum so that we
can teach more efficiently
� Need to completely rethink our approach to how
we teach computation
� Need more courses in application areas
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+
Let’s Design an Applied and
Computational Mathematics Computational Mathematics
Major
Possibly an integrated MS program
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+A Few Big Ideas: Accessible to
Undergrads
�Orthonormal Sets
�Spectral Theory
�Matrix Decompositions and Special Matrices�Matrix Decompositions and Special Matrices
�Fixed-Point Theorems
�Convexity
�Central Limit Theorem
�Other?
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+Orthonormal Sets
� Orthogonal Projections, Least Squares
� Regression, Curve Fitting, Estimation (BLUE)
� Fourier Coefficients
� Fourier Series
� Fourier Transforms
� Gram Schmidt, QR
� Orthogonal Polynomials
� Wavelets
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+Spectral Theory
� Decomposition of Matrices & Operators
� Spectral Theorem for Self-Adjoint& Normal Matrices
� Jordan Form
� Cayley Hamilton Theorem
� Peron Frobenius Theorem
� Differential Equations
� Linear Theory
� Quantum Mechanics
� Sturm-Liouville,
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+Matrix Decompositions and
Special Matrices
�SVD
� Polar
Decompositions
Generalized Inverse
�QR, LU, QZ
�Hessenberg
Toeplitz� Generalized Inverse
� PCA and friends
� Low rank
approximations
�Toeplitz
�Hankel
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+Fixed-Point Theorems
� Contraction Mapping Principle
� Newton’s Method(s)
� Inverse and Implicit Function Theorems
� Optimization: BFGS, Interior-Point, etc.
� Continuation Methods
� Kalman Filtering, State Estimation
� Algorithms to Solve Many/Most Inverse Problems
� Successive Approximations: Existence and Uniqueness of Solutions to Myriad Problems.
� Small Gain Theorem
� Brower’s Fixed Point Theorem
� Perron’s Theorem
� Hartman-Grobman
� Equilibrium proofs in Game Theory, Economics.
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+Convexity
� Jensen’s Inequality
� Most inequalities (Young, AGM, Holder, etc.)
� Information Theory (Gibbs inequality)
� Probability (Transforms, Expectation)
� Statistics (Rao-Blackwell)� Statistics (Rao-Blackwell)
� Separation Theorems
� Hahn-Banach Theorem
� Important in Finance, Economics, etc.
� Convex Optimization
� Important class of problems
� Curve fitting, regression, estimation, etc.
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+Central Limit Theorem
� Obvious Importance in Probability & Statistics
� The basis of sampling, inference
� The core of filtering, noise canceling
� Brownian motion, stochastic processes
� High-Dimensional Algorithms
� Monte Carlo Methods
� High-Dimensional Integration
� Johnson Lindenstrauss Theorem
� Compressed Sensing
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+Other Important Ideas
� Bayes Theorem
� Chinese Remainder Theorem
� Interpolation &Splines
� Stability
� Conditioning
� Variation of Constants Formula
� Cauchy Integral Formula
� Maximum Modulus Theorem
� Lie Groups & Algebras
� Fundamental Theorem of
Algebra, Liouville’s Theorem
� Euler-Lagrange Equation
� Numerical Range (Field of
Values)
� Sylvester and Riccati
Equations
� Euler Characteristic
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+Proposed New Major: Applied and
Computational Mathematics
� Pre-Requisites
� Math Minor
� Calculus I & II
� Multivariable Calculus
� Introduction to Proof
� Pick an Area of Specialty (Double Majors or Minors)
� Actuarial Science
� Biology/Bioinformatics
� Business Analytics
� Linear Algebra
� Ordinary Differential Equations
� First Semester Analysis
� Math Sciences Core
� Linear & Nonlinear Analysis
� Computation & Optimization
� Probability & Statistics
� Differential & Integral Equations
� Chemistry
� Computer Science, Computer Graphics, Animation
� Economics
� Engineering (ME, EE, CiE, ChE)
� Geo-science
� Finance
� Operations Research
� Physics/Astronomy
� Statistics/Bio-Statistics
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+Math Science Core:
The Foundations of Applied
Mathematics
�Linear&Nonlinear Analysis
�Computation & Optimization
Probability & Statistics�Probability & Statistics
�Differential & Integral Equations
Each core course has a computer
lab where students learn
computation and applications
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+Junior Core: Fall Term
� Abstract Vector Spaces
� Linear Transformations
� Inner Product Spaces
� Combinatorics& Graphs
� Complexity & Data
Analysis I Computation& Optimization I
� Inner Product Spaces
� Spectral Theory
� Metric Space Topology
� Differentiation
� Contraction Mappings & Applications
� Convex Analysis
� Approximation Theory
� Analysis of Algorithms
� Introduction to Optimization
� Linear Optimization
� Unconstrained Optimization
� Constrained Optimization
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+Junior Core: Winter Term
� Riemann-Darboux Integration
� Line & Surface Integration
� Complex Integration
� Dyn Opt (Finite Horizon)
� Dyn Opt (Infinite Horizion)
Dyn Opt (Uncertain Stopping)
Analysis II Computation& Optimization II
� Complex Integration
� Exterior Algebra & Differential Forms
� Advanced Spectral Theory
� Generalized Inverses
� Perturbation of Linear Operators
� Matrix Groups and Permutations
� Dyn Opt (Uncertain Stopping)
� Dyn Opt (Overlapping Generations)
� Discrete Transforms
� Advanced Algorithms
� Advanced Complexity
� Conditioning & Stability
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+Senior Core: Fall Term
� Random Spaces and Variables
� Distributions
� Linear Dynamical Systems
� Nonlinear Dynamical Systems
Probability & Statistics IDifferential and Integral
Equations I
� Expectation
� Limit Theorems
� Markov Processes
� Poisson, Queuing, Renewal
� Information Theory
� Martingales, Diffusion
� Bifurcation Theory
� Control Theory
� Modeling PDE
� Hyperbolic PDE
� Parabolic PDE
� Elliptic PDE
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+Senior Core: Winter Term
� Estimation
� Likelihood
� Regression
� Integral Equations
� Calculus of Variations
Optimal Control I
Course BProbability& Statistics II
Differential and Integral
Equations II
� Regression
� Hypothesis Testing
� Multivariate Statistics
� Bayesian Statistics
� State Estimation
� Time Series Analysis & System Identification
� Optimal Control I
� Optimal Control II
� Stochastic Calculus
� Stochastic Differential Equations
� Stochastic Optimal Control
� Applications
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+Final Talking Points
� Lock-step approach is efficient
� Cohort approach—students in all the same classes.
� Students apply to the program (e.g., Junior core, Senior core).
� Classes would be full as a result.
� Comes at a cost of 2 FTES (8 courses/year),could graduate 40
majors/year.
� More opportunities for funding
� More opportunities for collaboration