Techniques of integration, applications of integration, improper integrals, sequences, Taylor’s formula, and infinite series, including power series. Lab. P-MTH 111 or prerequisite override required. (D, QR) First Session Course: Quantitative Reasoning
The calculus of vector functions, including geometry of Euclidean space, differentiation, extrema, line integrals, multiple integrals, and Green’s, Stokes’, and divergence theorems. Lab. P-MTH 112 or prerequisite override required. (D, QR) First Session Course: Quantitative Reasoning
Introduction to various topics in discrete mathematics applicable to computer science including sets, relations, Boolean algebra, propositional logic, functions, computability, proof techniques, graph theory, and elementary combinatorics. Lab. (D, QR) Second Session Course: Quantitative Reasoning
Specific topics covered include: vector algebra, solving linear systems of equations, rank, vector spaces, determinants, eigenvalues, linear transformations, first order differential equations, second order linear ordinary differential equations, and power series solutions to differential equations. Credit not allowed for both MTH 205 and MTH 251 or for […]
Functions of a real variable, trigonometric, exponential and logarithmic functions, limits, continuity, differentiation, applications of derivatives, indeterminate forms, introduction to integration, the fundamental theorem of calculus. Lab. (D, QR) First Session Course: Quantitative Reasoning
Introduction to chemistry for non-science majors. Laboratory covers experimental aspects of topics discussed in lecture. Does not count towards the major or minor in chemistry. C-CHM 108L. (D, QR) First Session Course: Quantitative Reasoning
Introduction to computer programming and algorithmic problem solving in an object-oriented programming language. Topics include basic control structures, methods, parameters, objects, classes, arrays, and program testing and debugging. Recommended as the first course for students considering a major or minor in computer science. (D) Second […]
Data collection and visualization, exploratory analysis, introductory probability, inference techniques for one variable, and statistical literacy. Lab. (D, QR, QDA) First Session Courses: Quantitative Reasoning