Caroline Haddad
Professor and Chair of MathematicsCaroline Haddad has been a member of the Geneseo faculty since 1995.
For more information, visit Caroline Haddad's personal webpage.
Office Hours
 Monday, Tuesdays, Wednesday: 1:00pm2:00pm
 By appointment
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 Twoyear Visiting Position. I have been employed at SUNY Geneseo since then.
Affiliations
Member of MAA
Member of SIAM
Honorary Member of Golden Key National Honor Society
Member of ILAS
Member of OptNet
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, 99113, 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
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
 Applied Mathematics of all kinds
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. Prerequisites: MATH 222 or MATH 228 or permission of instructor. Offered every semester

MATH 333: Linear Algebra II
An advanced look at vector spaces and linear transformations, with emphasis on the analysis of the eigenvalues of a linear transformation and on the concept of orthogonality. Applications, such as the solutions of linear systems of ordinary differential equations, are included. Prerequisites: MATH 223, MATH 233, and MATH 239. Offered every fall