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S P R I N G 2 0 1 3 - USS at Tufts - Tufts University

S P R I N G 2 0 1 3 - USS at Tufts - Tufts University

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Course ListingsFall 2012M<strong>at</strong>hem<strong>at</strong>icsMATH0039HONORS CALCULUS I-II(Formerly MATH 17). The first course of the two-semester sequence ofhonors calculus. Intended for students who have had <strong>at</strong> least the ABsyllabus of advanced placement m<strong>at</strong>hem<strong>at</strong>ics in secondary school.Stresses the theoretical aspects of the subject, including proofs ofbasic results. Topics include: convergence of sequences and series;continuous functions, Intermedi<strong>at</strong>e Value and Extreme ValueTheorems; definition of the deriv<strong>at</strong>ive, formal differenti<strong>at</strong>ion, findingextrema, curve-sketching, Mean Value Theorems; basic theory of theRiemann integral, Fundamental Theorem of Calculus and formalintegr<strong>at</strong>ion, improper integrals; Taylor series, power series and analyticfunctions.Prerequisites: AB syllabus of advanced placement m<strong>at</strong>hem<strong>at</strong>ics.Students who receive credit for MATH 39 (formerly MATH 17) cannotreceive credit for MATH 30, 32, or 34 (formerly MATH 5, 11, or 12).Upon successful completion of MATH 39, all students receive twocredits: one course credit (with grade) and one m<strong>at</strong>hem<strong>at</strong>icsacceler<strong>at</strong>ion credit (without grade). At th<strong>at</strong> time any AP or foreigndiploma credit equivalent to MATH 32 (formerly MATH 11) will bereplaced by this m<strong>at</strong>hem<strong>at</strong>ics acceler<strong>at</strong>ion credit. A student who hastaken MATH 30 or 32 (formerly MATH 5 or 11), or has a transfer creditequivalent to one of these, will receive only one course credit uponcompletion of MATH 39. A student who has taken MATH 34 (formerlyMATH 12), or has a transfer credit equivalent to MATH 34 (formerlyMATH 12), will not be allowed to take MATH 39 for credit.Sections03472 MATH003901 E+ Nitecki, Zbigni 1.0 10 Cap SpacesForAdvisees;highSchool ApCourseMATH0042CALCULUS III(Formerly MATH 13). Vectors in two and three dimensions,applic<strong>at</strong>ions of the deriv<strong>at</strong>ive of vector-valued functions of a singlevariable. Functions of several variables, continuity, partial deriv<strong>at</strong>ives,the gradient, directional deriv<strong>at</strong>ives. Multiple integrals and theirapplic<strong>at</strong>ions. Line integrals, Green's theorem and rel<strong>at</strong>ed results.Prerequisites: MATH 34 OR 39 (Formerly MATH 12 or 17).Sections034660346703468034690347003471MATH004201 C Gutierrez, Maur 1.0 M<strong>at</strong>h 34 Or 39(formerly 12 Or17) All SectionsMATH004202 C Nitecki, Zbigni 1.0MATH004203 D Hao, Ning 1.0MATH004204 E Christensen, Je 1.0MATH004205 F Teixidor I Biga 1.0MATH004206 H Tu, Loring W 1.0MATH0051DIFFERENTIAL EQUATIONS(Formerly MATH 38). An introduction to linear differential equ<strong>at</strong>ionswith constant coefficients, linear algebra, and Laplace transforms.Prerequisites: MATH 42 or 44 (formerly MATH 13 or 18).Sections034750347603477MATH005101 B Hasselbl<strong>at</strong>t, Bo 1.0 M<strong>at</strong>h 42 Or 44(formerly 13 Or18) All SectionsMATH005102 C Adler, James 1.0MATH005103 D Barthelme, Thom 1.0MATH0061DISCRETE MATHEMATICS(Formerly MATH 22). (Cross-listed as COMP 61.) Sets, rel<strong>at</strong>ions andfunctions, logic and methods of proof, combin<strong>at</strong>orics, graphs anddigraphs.Prerequisites: MATH 32 (formely MATH 11) or COMP 11 or permissionof instructor.Sections03473 MATH006101 H Mcninch, George 1.0 M<strong>at</strong>h 32 (old11) Or Comp 11Or Consent;C-lst Comp 61<strong>Tufts</strong> <strong>University</strong> Course Listings, Fall 201203474MATH006102 E+MW Cowen, Lenore J 1.0 C-list Comp61-02MATH0063NUMBER THEORY(Formerly m<strong>at</strong>h 41). An introduction to number theory, including theEuclidean algorithm, congruences, primitive roots, and the law ofquadr<strong>at</strong>ic reciprocity.Prerequisites: MATH 32 (formerly MATH 11) or permission ofinstructor.Sections03741 MATH006301 K+ Martin, Alberto 1.0 M<strong>at</strong>h32(formerlyM<strong>at</strong>h 11) OrConsentMATH0070LINEAR ALGEBRA(Formerly MATH 46). An introduction to the theory of vector spacesand linear transform<strong>at</strong>ions over the real or complex numbers, includinglinear independence, dimension, m<strong>at</strong>rix multiplic<strong>at</strong>ion, similarity andchange of basis, and some applic<strong>at</strong>ions. Topics such as eigenvaluesand eigenvectors, the Cayley-Hamilton theorem, and inner productspaces may be included.Prerequisites: MATH 34 or 39 (formerly MATH 12 or 17) or permissionof instructor. Students may count only one of MATH 70 (formerlyMATH 46) and MATH 72 (formerly MATH 54) for credit.Sections03478 MATH007001 D+ Glaser, Mary E 1.0 M<strong>at</strong>h 34 Or39(former 12 Or17)/consent;allSections03479 MATH007002 G+ Martin, Alberto 1.003742 MATH007003 G+ Mcgr<strong>at</strong>h, Joseph 1.0MATH0072ABSTRACT LINEAR ALGEBRA(Formerly MATH 54). An introduction to the theory of linear algebrastarting with vector spaces. Subspaces, bases, dimension. Lineartransform<strong>at</strong>ions, invariant subspaces, eigenvalues, eigenspaces, anddiagonalizing linear oper<strong>at</strong>ors. Inner product spaces and orthogonalprojections. The emphasis will, in general, be on proofs r<strong>at</strong>her thancomput<strong>at</strong>ion. Additional topics may include normal forms, minimalpolynomials, determinant of an oper<strong>at</strong>or, normal oper<strong>at</strong>ors overcomplex vector spaces as well as applic<strong>at</strong>ions of linear algebra.Prerequisites: MATH 34 or 39 (formerly MATH 12 or 17) or permissionof instructor. Students may count only one of MATH 70 (formerlyMATH 46) and MATH 72 (formerly MATH 54) for credit.Sections03481 MATH007201 G+ Walsh, Geneviev 1.0 M<strong>at</strong>h 34 Or 39(formerly M<strong>at</strong>h12 Or 17) OrConsentMATH0087MATHEMATICAL MODELINGA survey of major techniques in the use of m<strong>at</strong>hem<strong>at</strong>ics to modelphysical, biological, economic, and other systems; topics may includederiv<strong>at</strong>ive-based optimiz<strong>at</strong>ion and sensitivity analysis, linearprogramming, graph algorithms, probabilistic modeling, Monte-Carlomethods, difference equ<strong>at</strong>ions, and st<strong>at</strong>istical d<strong>at</strong>a fitting. This courseincludes an introduction to computing using a high-level programminglanguage, and studies the transform<strong>at</strong>ion of m<strong>at</strong>hem<strong>at</strong>ical objects intocomput<strong>at</strong>ional algorithms.Prerequisites: MATH 34 (formerly MATH 12), MATH 36 or MATH 39(formerly MATH 17), or consent.Sections03743 MATH008701 H+ Maclachlan, Sco 1.0 M<strong>at</strong>h34(old12),m<strong>at</strong>h36(old50-01)orM<strong>at</strong>h39(old17);or PermPage 118

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