See Mathematics introductory paragraph under the Spring half-term listing for information describing the elementary Mathematics courses.
A maximum total of 4 credits may be earned in Mathematics courses numbered 110 and below. A maximum total of 16 credits may be earned for calculus courses Math 112 through Math 296, and no credit can be earned for a prerequisite to a course taken after the course itself.
103. Intermediate Algebra. Only open to designated summer half-term Bridge students. (2). (Excl).
This course is an in-depth review of high school algebra. It covers linear, quadratic, and polynomial functions and their graphs.
105. Data, Functions, and Graphs. Students with credit for Math. 103 can elect Math. 105 for only 2 credits. (4). (Excl).
This is a course on analyzing data by means of functions and graphs. The emphasis is on mathematical modeling of real-world applications. The functions used are linear, quadratic, polynomial, logarithmic, exponential, and trigonometric. Algebra skills are assessed during the term by periodic testing. Students completing Math. 105 are fully prepared for Math. 115. Text: Contemporary Precalculus. Students will need graphing calculators and should check with the Math Department office to find out what is currently required.
115. Analytic Geometry and Calculus I. See Elementary Courses above. Credit usually is granted for only one course from among Math. 112, 115, 185, and 195. (4). (N.Excl).
See Math 115 (Spring Term).
116. Analytic Geometry and Calculus II. Math. 115. Credit is granted for only one course from among Math. 116, 186, and 196. (4). (N.Excl).
See Math 116 (Spring Term).
215. Analytic Geometry and Calculus III. Math. 116 or 186. (4). (Excl).
See Math 215 (Spring Term).
216. Introduction to Differential Equations. Math. 215. (4). (Excl).
See Math 216 (Spring Term).
417. Matrix Algebra I. Three courses beyond Math. 110. No credit granted to those who have completed or are enrolled in 217, 419, or 513. (3). (Excl).
See Math 417 (Spring Term).
419/EECS 400/CS 400. Linear Spaces and Matrix Theory. Four terms of college mathematics beyond Math 110. No credit granted to those who have completed or are enrolled in 217 or 513. One credit granted to those who have completed Math. 417. I and II. (3). (Excl).
Background and Goals. Math 419 covers much of the same ground as Math 417 but presents the material in a somewhat more abstract way in terms of vector spaces and linear transformations instead of matrices. There is a mix of proofs, calculations, and applications with the emphasis depending somewhat on the instructor. A previous proof-oriented course is helpful but by no means necessary. Content. Basic notions of vector spaces and linear transformations: spanning, linear independence, bases, dimension, matrix representation of linear transformations; determinants; eigenvalues, eigenvectors, Jordan canonical form, inner-product spaces; unitary, self-adjoint, and orthogonal operators and matrices, applications to differential and difference equations. This corresponds to Chapters 1, 2, 3, 5 and parts of 4, 6, and 7 of Friedberg et. al. Recent Text(s): Linear Algebra (Friedberg, Insel, and Spence, 2nd ed.); Matrix Algebra (Winter).
425/Stat. 425. Introduction to Probability. Math. 215. (3). (N.Excl).
See Math 425 (Spring Term).
450. Advanced Mathematics for Engineers I. Math. 216, 286, or 316. (4). (Excl).
Background and Goals. Although this course is designed principally to develop mathematics for application to problems of science and engineering, it also serves as an important bridge for students between the calculus courses and the more demanding advanced courses. Students are expected to learn to read and write mathematics at a more sophisticated level and to combine several techniques to solve problems. Some proofs are given and students are responsible for a thorough understanding of definitions and theorems. Students should have a good command of the material from Math 215, and 216 or 316, which is used throughout the course. A background in linear algebra, e.g.,321 Math 217, is highly desirable. Content. Topics include a review of curves and surfaces in implicit, parametric, and explicit forms; differentiability and affine approximations; implicit and inverse function theorems; chain rule for 3-space; multiple integrals; scalar and vector fields; line and surface integrals; computations of planetary motion, work, circulation, and flux over surfaces; Gauss' and Stokes' Theorems, derivation of continuity and heat equation. Some instructors include more material on higher dimensional spaces and an introduction to Fourier series. This corresponds to Chapters 2, 3, 5, 7, and 8 and sometimes 4 of Marsden and Tromba. Recent Text(s): Vector Calculus (Marsden and Tromba, 3rd ed.); Boundary Value Problems (Powers, 3rd ed.).
454. Boundary Value Problems for Partial Differential Equations. Math. 216, 286 or 316. Students with credit for Math. 354, 455 or 554 can elect Math. 454 for 1 credit. (3). (Excl).
See Math 454 (Spring Term).
471. Introduction to Numerical Methods. Math. 216, 286, or 316; and 217, 417, or 419; and a working knowledge of one high-level computer language. (3). (Excl).
Background and Goals. This is a survey of the basic numerical methods which are used to solve scientific problems. The emphasis is evenly divided between the analysis of the methods and their practical applications. Some convergence theorems and error bounds are proved. The course also provides an introduction to MATLAB, an interactive program for numerical linear algebra, as well as practice in computer programming. One goal of the course is to show how calculus and linear algebra are used in numerical analysis. Content. Topics include computer arithmetic, Newton's method for non-linear equations, polynomial interpolation, numerical integration, systems of linear equations, initial value problems for ordinary differential equations, quadrature, partial pivoting, spline approximations, partial differential equations, Monte Carlo methods, 2-point boundary value problems, Dirichlet problem for the Laplace equation. Recent Text(s): Elementary Numerical Analysis: an Algorithmic Approach (Conte and DeBoor); Numerical Analysis (Burden and Faires, 4th ed.); Numerical Methods (Dahlquist, Björck, and Anderson).
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