Caroline Haddad

Professor of Mathematics
South Hall 325C
585-245-5475
haddad@geneseo.edu

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

I begin my 30th year this fall!

For more information, visit Caroline Haddad's personal webpage.

Image

Office Hours

Office Hours: 

M 10:30-11:20 (tentative), 

T, TH 10:30-11:20, 

W 10:00-11:00am, 

or by appointment. 

I hope that you will come to me for help with homework.  I would recommend making (and keeping) appointments.  Please remember to cancel if you cannot make it. Online is an option. 

 


Curriculum Vitae

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.

Affiliations

  • Member of Mathematical Association of America (MAA)

  • (Former) Member of Society for Industrial and Applied Math (SIAM)

  • Honorary Member of Golden Key National Honor Society

  • Member of International Linear Algebra Society (ILAS)

  • Member of Opt-Net

  • Member of Association of Women in Math (AWM)

  • Member of National Association of Mathematicians (NAM)

  • Member of Wavelets in Undergraduate Education (WUE)

Publications

  • 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 1
    • MATH 345 Numerical Analysis 2
    • MATH 371 Complex Analysis
    • MATH 380 Applied and Computational Linear Algebra
    • 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

Interests

  •  Linear Algebra and Applications
  •  Wavelets
  •  Linear Complementarity
  •  Projections Onto Convex Sets (POCS)
  •  Numerical Linear Algebra and Numerical Analysis
  •  Linear Programming and Operations Research
  •  Compressive Sensing
  •  Mathematics of Data Science, Data Analytics, and Machine Learning
  •  Applied Mathematics of all kinds

Classes

  • MATH 222: Calculus II

    Topics studied are methods of integration, applications of definite integrals, sequences, improper integrals, and series, parametric equations and polar coordinates.

  • MATH 326: Differential Equations

    A study of the methods of solving ordinary differential equations, and some of the applications of these equations in the physical sciences and geometry.

  • MATH 382: Discrete Wavelets&Application

    This course is an introduction to the basics of digital images, Fourier analysis, wavelets, and computing in an applications first approach. Digitized photographs (or sound files) are stored as very large matrices and manipulated initially using basic linear algebra. Basic programming in Matlab, Maple, or Mathematica will be introduced as a means of performing the manipulations and a discovery tool. Wavelet transforms are used to aid in compressing or enhancing digital photographs, de-noising sound files, and compression using the JPEG2000 standard. Each student in the course will work on a final project that will involve coding, writing up the results in a paper, and presenting the results at the end of the semester.