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Department of Computer Science and Mathematics<br />

MTH102 Calculus II [3-0, 3 cr.]<br />

This course covers mainly integration. Topics<br />

include indefinite integrals, integral rules,<br />

integration by substitution, estimating with<br />

finite sums, Riemann sums and definite<br />

integrals, the fundamental theorem of Calculus,<br />

substitution in definite integrals, applications of<br />

integrals (areas between curves and volumes<br />

by slicing, volumes by cylindrical shells, and<br />

lengths of plane curves), transcendental<br />

functions (logarithms, exponential functions,<br />

inverse trigonometric functions), and some<br />

basic techniques of integration (integration by<br />

parts, and trigonometric integrals). In addition,<br />

the course covers differential equations and<br />

modeling (first order separable differential<br />

equations, linear first order differential<br />

equations), vectors in the plane and in space,<br />

as well as dot and cross products, lines and<br />

planes in space, and a brief introduction to<br />

conics (ellipse, hyperbola, parabola).<br />

Prerequisite: MTH101 Calculus I.<br />

MTH111 Basic Mathematics [3-0, 3 cr.]<br />

This is a survey course that covers a variety<br />

of basic mathematical topics. The course<br />

provides a background in numeration systems,<br />

logic, set theory, relations and functions, linear<br />

programming, quantitative reasoning, and<br />

probability.<br />

MTH200 Mathematics for Life Sciences<br />

[3-0, 3 cr.]<br />

This course is intended for students majoring<br />

in life sciences, and covers the following topics:<br />

linear, exponential, and logarithmic functions,<br />

systems of equations and matrices, methods of<br />

integration, Maclaurin series, maximization and<br />

minimization, introduction to linear programming,<br />

and introduction to differential equations.<br />

Prerequisite: Sophomore Standing.<br />

MTH201 Calculus III [3-0, 3 cr.]<br />

This course covers hyperbolic functions,<br />

integration techniques and improper integrals.<br />

The course covers also infinite sequences and<br />

series: limits of sequences of numbers, bounded<br />

sequences, integral test for series, comparison<br />

tests, ratio and root tests, alternating series,<br />

absolute and conditional convergence, power<br />

series, Taylor and MacLaurin series, and<br />

applications of power series. Polar functions,<br />

polar coordinates, and graphing of polar curves<br />

are also covered. In addition, topics from<br />

multivariable calculus are introduced: functions<br />

of several variables, partial derivatives, double<br />

integrals, applications to double integrals, and<br />

double integrals in polar form.<br />

Prerequisite: MTH102 Calculus II.<br />

MTH206 Calculus IV [3-0, 3 cr.]<br />

This course covers the Fourier series, cylinders<br />

and quadric surfaces, vector-valued functions,<br />

arc length and the unit tangent vector,<br />

curvature and the unit normal vector, torsion<br />

and the binormal vector, partial derivatives<br />

and applications, the chain rule, directional<br />

derivatives, gradient vectors, tangent planes,<br />

linearization and differentials, extreme values<br />

and saddle points, Lagrange multipliers, triple<br />

integrals, triple integrals in cylindrical and<br />

spherical coordinates, integration in vector<br />

fields, line integrals, circulation and flux,<br />

potential functions and conservative fields,<br />

the Fundamental Theorem of Line Integrals,<br />

Green’s theorem, surface integrals, parametric<br />

surfaces, Stokes and divergence theorems.<br />

Prerequisite: MTH201 Calculus III.<br />

MTH207 Discrete Structures I [3-0, 3 cr.]<br />

This course covers the foundations of discrete<br />

mathematics as they apply to computer science.<br />

The course is an introduction to propositional logic,<br />

logical connectives, truth tables, normal forms,<br />

validity, predicate logic, universal and existential<br />

quantification, and the limitations of predicate<br />

logic. Also, the following topics are covered: the<br />

number system, the Euclidean algorithm, proof<br />

techniques, mathematical induction, counting<br />

arguments, permutations and combinations,<br />

binomial coefficients, sets, functions, relations,<br />

matrices, and Boolean Algebra.<br />

MTH301 Linear Algebra [3-0, 3 cr.]<br />

This is an introductory course in linear algebra<br />

where students are exposed for the first time to a<br />

balance of computation, theory, and applications.<br />

Topics include the systems of linear equations,<br />

vector spaces, linear dependence, bases,<br />

linear transformations, matrices, determinants,<br />

eigenvalues, and eigenvectors.<br />

Prerequisite: MTH201 Calculus III.<br />

MTH302 Geometry [3-0, 3 cr.]<br />

This course presents an investigation of the<br />

axiomatic foundations of modern geometry. More<br />

specifically, Euclidean geometry is discussed<br />

in detail. Less emphasis will also be placed on<br />

spherical, and/or hyperbolic geometries.<br />

Prerequisite: Junior Standing.<br />

MTH303 Numerical Methods [3-0, 3 cr.]<br />

This course compares and contrasts various<br />

numerical analysis techniques, in addition to<br />

error definition, stability, the machine precision<br />

concepts, inexactness of computational<br />

approximations, the design, code, test, and<br />

debug programs that implement numerical<br />

methods, floating-point arithmetic, convergence,<br />

<strong>Lebanese</strong> <strong>American</strong> University | page 120

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