15 courses with the subject MATH, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MATH 080Elementary Algebra
3 class hours, 3 credits. Arithmetic review; scientific notation; algebraic operations; factoring; solving linear and quadratic relations; absolute value; Pythagorean theorem; coordinate geometry; graphing lines and parabolas; relevant word problems. Course offered on a pass/fail basis. This course may not be used to satisfy any degree requirement. [Fall and Spring]
4 class hours, 4 credits. A second course in the calculus of one-variable functions with emphasis on preparing students for bachelor of engineering majors. Topics include: Antiderivatives; the definite integral; Fundamental Theorem of Calculus; techniques of integration; l’Hôpital’s rule; improper integrals; geometric applications of integration; numerical sequences and series; power series; Taylor polynomials and Taylor series. 101. SUNY-GER: Mathematics. [Fall and Spring]
4 class hours, 4 credits. A first course in the calculus of one-variable functions with applications to business and science. Topics include: The limit of a function; continuity and differentiability; average and instantaneous rates of change; differentiation of algebraic, exponential, and logarithmic functions; algebraic and geometric interpretation of a function and its derivatives; optimization; related rate applications; and an introduction to antidifferentiation including the definite integral. Credit will not be given for both this course and MATH 101. 090. SUNY-GER:
3 class hours, 3 credits. A survey of calculus topics beyond the differentiation of one-variable functions, with emphasis on applications of interest to Marine Environmental Science and Marine Operations majors. Topics include: Integration and the Fundamental Theorem of Calculus; multidimensional structures, including vectors, complex numbers, and matrices; differentiation, and integration of functions of several variables; introduction to ordinary differential equations. 111. SUNY-GER: Mathematics. [Spring]
3 class hours, 3 credits. This course lays the groundwork for further courses in discrete mathematics and theoretical computer science. Topics include sets, functions, relations, formal logic (propositional and predicate calculus); elementary number theory. [Fall]
3 class hours, 3 credits. An introductory course in statistical methods. Topics include: frequency distributions; measures of central tendency, variability, and relative standing; normal and binomial probability distributions; confidence intervals and hypothesis testing for mean and proportion; one-way analysis of variance and contingency tables; bivariate and multiple regression analysis; with use of calculators and Excel to describe and analyze data. Credit will not be given for both this course and ENGR 345.
MATH 090. SUNY-GER: Mathematics. [Fall and Spring]
MATH 301Advanced Calculus
3 class hours, 3 credits. Functions of several variables; vectors; differentials; Implicit Function Theorem; Inverse Function Theorem; extrema; line and surface integrals; Fourier series; partial differential equations. Placed in Courses in Reserve 3/27/13.
3 class hours, 3 credits. Complex numbers, analytic functions; contour integration; Taylor and Laurent series; poles and residues; conformal mapping; applications. Placed in Courses in Reserve 3/27/13.
3 class hours, 3 credits. A first course in linear algebra. Topics include: linear systems; echelon forms; matrix algebra; spaces of vectors, linear independence and bases; linear transformations; orthogonality; determinants; eigenvalues and eigenvectors; diagonalization; and an introduction to abstract vector spaces. Applications to engineering will appear throughout the course.
3 class hours, 3 credits. Quantitative methods for business-oriented decision and optimization problems. Topics chosen from among: linear programming and related sensitivity analysis; transportation problem; network and project- scheduling algorithms; queues; simulation; Markov processes; decision analysis. Use of software packages. [Fall and Spring]