Math

Course ID: MATH 1060. 3 hours.
Course Title: Mathematics of Decision Making
Course Description: Applications of modern mathematics to management and decision making including the solution of optimization problems using network theory, methods for optimal scheduling, voting methods, game theory, and related strategies. Applications include planning of postal delivery routes, placement of cable television lines, United States Congressional apportionment, and dispute resolution.


Course ID: MATH 1101. 3 hours.
Course Title: Introduction to Mathematical Modeling
Course Description: Mathematical modeling using graphical, numerical, symbolic, and verbal techniques to describe and explore real-world data and phenomena. The investigation and analysis of applied problems and questions, and of effective communication of quantitative concepts and results.


Course ID: MATH 1113. 3 hours.
Course Title: Precalculus
Course Description: Preparation for calculus, including an intensive study of algebraic, exponential, logarithmic, and trigonometric functions and their graphs. Applications include simple maximum/minimum problems, exponential growth and decay, and surveying problems.


Course ID: MATH 2110. 3 hours.
Course Title: Calculus for Economics
Course Description: Topics specifically chosen to meet the needs of the student of economics: the definite integral, functions of several variables, partial derivatives, Lagrange multipliers, and matrices.


Course ID: MATH 2200. 4 hours.
Course Title: Analytic Geometry and Calculus
Course Description: Introductory differential calculus and its applications. Topics include limits, continuity, differentiability, derivatives of trigonometric, exponential and logarithmic functions, optimization, curve sketching, Newton's method, antiderivatives, differential equations, and applications.


Course ID: MATH 2210. 3 hours.
Course Title: Integral Calculus
Course Description: Introductory integral calculus and its applications. Topics include Riemann sums, the Riemann integral, the Fundamental Theorem of calculus, techniques of integration, arc length, surface area, volumes, force, work, and an introduction to differential equations.


Course ID: MATH 2250. 4 hours.
Course Title: Calculus I for Science and Engineering
Course Description: Limits, derivatives, differentiation of algebraic and transcendental functions; linear approximation, curve sketching, optimization, indeterminate forms. The integral, Fundamental Theorem of Calculus, areas. Emphasis on science and engineering applications.


Course ID: MATH 2260. 4 hours.
Course Title: Calculus II for Science and Engineering
Course Description: Vector functions, velocity, acceleration, and physical applications. Techniques of integration and differential equations. Applications of integration: arclength, volumes, work, center of mass; polar coordinates and Kepler's laws. Polynomial approximation and Taylor series. Vectors in three-dimensional space, lines, planes, linear functions, and determinants.


Course ID: MATH 2300H. 4 hours.
Course Title: Differential Calculus (Honors)
Course Description: Honors differential calculus and applications, including optimization and related rate problems, L'Hôpital's rule. Introduction to the integral, area between curves, antidifferentiation, and the fundamental theorem of calculus.


Course ID: MATH 2310H. 4 hours.
Course Title: Integral Calculus (Honors)
Course Description: Integral calculus with techniques of integration, differential equations, applications to volumes and physics. Improper integrals, Taylor series, and applications. Introduction to vectors and applications.


Course ID: MATH 2400. 4 hours.
Course Title: Differential Calculus with Theory
Course Description: A rigorous and extensive treatment of differential calculus. Topics include the real numbers, the least upper bound property, limits, continuity, differentiability, and applications.


Course ID: MATH 2410. 4 hours.
Course Title: Integral Calculus with Theory
Course Description: A rigorous and extensive treatment of integral calculus. Topics include the Fundamental Theorem of calculus, applications of integration, logarithms and exponentials, Taylor polynomials, `sequences, series, and uniform convergence.


Course ID: MATH 2500. 3 hours.
Course Title: Multivariable Calculus
Course Description: Calculus of functions of two and three variables including vectors in two and three dimensions, parametric curves, continuity and differentiability of functions of several variables, directional derivatives, Lagrange multipliers, multiple integration, polar coordinates, Green's theorem, and Stokes' theorem.


Course ID: MATH 2600. 3 hours.
Course Title: Discrete Mathematics for Biology
Course Description: Discrete mathematics topics especially pertinent to applications in computational biology and genetics. Topics include basic set theory and logic, introductory linear algebra, difference equations and stability, counting and discrete probability and distributions, large data structures. Specific biological models are introduced to motivate topics.


Course ID: CSCI(MATH) 2610. 4 hours.
Course Title: Discrete Mathematics for Computer Science
Course Description: The fundamental mathematical tools used in computer science: sets, relations, and functions; propositional logic, predicate logic, and inductive proofs; summations, recurrences, and elementary asymptotics; counting and discrete probability; undirected and directed graphs; introductory linear algebra, with applications in computer science.


Course ID: MATH 2700. 3 hours.
Course Title: Elementary Differential Equations
Course Description: First and second order ordinary differential equations, including physical and biological applications, numerical solutions, and mathematical modeling.

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