Office Hours

  • Monday, Wednesday:  1:00pm-2:00pm

  • Tuesday, Thursday: 1:30-2:20

  • By appointment
 

interests

 

  •  Linear Algebra and Applications
  •  Wavelets
  •  Linear Complementarity
  •  Projections Onto Convex Sets (POCS)
  • Numerical Linear Algebra and Analysis
  • Linear Programming and Operations Research
  • Compressive Sensing
 

 

Caroline Haddad

Professor of

Mathematics

South 330D
1 College Circle
Geneseo, NY 14454
585-245-5475
haddad@geneseo.edu

Haddad

Caroline Haddad has been a member of the Geneseo faculty since 1995.

 

Faculty Information

Education

  • Ph.D., Mathematics, Rensselaer Polytechnic Instititute
  • M.S., Applied Mathematics, Rensselaer Polytechnic Instititute
  • B.S., Mathematical Physics, Binghamton University

Employment

  • I previously taught at Middlebury College on a Two-year Visiting Position. I have been employed at SUNY Geneseo since then.

Publications and Professional Activities

  • Haddad, C., Cholesky Factorization, Encyclopedia of Optimization, 2nd edition, Kluwer Academic Press, 2008
  • Haddad, C.N., Habetler, G.J. , Projective Algorithms for Solving Complementarity Problems, Int'l. J. Math. & Math. Sci., Vol 29, 2, 99-113, 2002.
  • COURSES TAUGHT AT SUNY GENESEO

    SERVICE COURSES and LOWER LEVEL MAJORS COURSES
    • MATH 113 Finite Mathematics
    • MATH 140 Math for Elementary Education I
    • MATH 141 Math for Elementary Education II
    • MATH 213 Applied Calculus (for Business)
    • MATH 221 Calculus I
    • MATH 222, Calculus II
    • MATH 230 Programming and Problem Solving
    • MATH 233 Elementary Linear Algebra
    • MATH 288 Enriched Linear Algebra
    UPPER LEVEL MAJORS COURSES
    • MATH 326 Differential Equations
    • MATH 332 Linear Programming and Operations Research
    • MATH 333 Linear Algebra
    • MATH 345 Numerical Analysis
    • MATH 371 Complex Analysis
    • MATH 382 Intro to Wavelets and Their Applications
    GRADUATE COURSES for MATH ED
    • MATH 421 Foundations of Calculus
    • MATH 433 Applied Matrix Techniques
    • MATH 475 Applied and Computational Mathematics

Affiliations

  • Member of MAA
  • Member of SIAM
  • Honorary Member of Golden Key National Honor Society
  • Member of ILAS
  • Member of Opt-Net
Spring 2016 Classes

MATH 233:
Linear Algebra I

    Study of matrices, matrix operations, and systems of linear equations, with an introduction to vector spaces and linear transformations. Elementary applications of linear algebra are included. Prerequ
    isites: MATH 213 or MATH 221 or permission of instructor. Offered every semester
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MATH 332:
Linear Programming &Oper Resch

    The course introduces the student to the techniques for the formulation and solution of linear programming problems and their corresponding dual problems. It is intended to be a broad overview of dete
    rministric linear programming and operations research. Topics to be covered include the Simplex Method, the Dual Simplex Method, Sensitivity Analysis, Network Optimization Methods, (Deterministic) Dynamic Programming, Game Theory and Branch and Bound Methods for Integer Programming. Additional topics may be selected from the Cutting Plane Methods for Integer Programming, the Transportation Problem, the Assignment Problem, Graphs and Networks, the Network Simplex Method, the Ellipsoid Algorithm and the Critical Path Method when time permits. Prerequisites: MATH 222, MATH 233, one of MATH 237 or MATH 239, and MATH 230 or permission of instructor. Offered spring, even years
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MATH 346:
Numerical Analysis II

    This course provides an investigation of advanced topics in numerical analysis. Topics include the numerical solution of ordinary differential equations, boundary value problems, curve fitting, and ei
    genvalue analysis. Prerequisites: MATH 345. Offered spring, even years
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