Dr. Stade studies automorphic forms, which lie at the intersection of number theory and harmonic analysis. In particular, he's interested in the interplay between the Fourier theory of automorphic forms and the classical study of generalized Barnes integrals and hypergeometric series. In addition, Dr. Stade is presently studying several issues in mathematics education.
number theory, automorphic forms, hypergeometric and other special functions, mathematics education
MATH 1310 - Calculus for Life Sciences
Spring 2018 / Fall 2018 / Spring 2019 / Fall 2020
Calculus concepts are developed through the analysis and modeling of complex systems, ranging from gene networks and cells to populations and ecosystems. Fundamental concepts of probability and statistics are also developed through the lens of calculus. MATH 1300 is similar, but a greater emphasis is placed on relevance and applications in biology and other life sciences. Students who have already earned college credit for calculus 1 are eligible to enroll in this course if they want to solidify their knowledge base in calculus 1. For more information about the math placement referred to in the "Enrollment Requirements", contact your academic advisor. Degree credit not granted for this course and APPM 1345 or APPM 1350 or ECON 1088 or MATH 1081 or MATH 1300 or MATH 1330.
MATH 2300 - Calculus 2
Continuation of MATH 1300. Topics include transcendental functions, methods of integration, polar coordinates, differential equations, improper integrals, infinite sequences and series, Taylor polynomials and Taylor series. Department enforced prerequisite: MATH 1300 or MATH 1310 or APPM 1345 or APPM 1350 (minimum grade C-). Degree credit not granted for this course and APPM 1360.
MATH 3001 - Analysis 1
Provides a rigorous treatment of the basic results from elementary Calculus. Topics include the topology of the real line, sequences of numbers, continuous functions, differentiable functions and the Riemann integral.
MATH 3850 - Seminar in Guided Mathematics Instruction
Spring 2018 / Fall 2018
Provides learning assistants with an opportunity to analyze assessment data for formative purposes and develop instructional plans as a result of these analyses. These formative assessment analyses will build on the literature in the learning sciences. Students gain direct experiences interacting with the tools of the trade, especially with actual assessment data and models of instruction. May be repeated up to 3 total credit hours. Restricted to learning assistants in Math.