Recent Funding

Studie Entwicklungsstand Quantencomputer
Study development of quantum computer

PI: Rainer Steinwandt

Funding Agency: Saarland University (GER)
German Federal Office for Information Security


Linking Within-Host and Between-Host
Infectious Disease Dynamics

PI: Necibe Tuncer

Funding Agency: National Science Foundation


Emerging Side-Channel Resistant and
Resource-Friendly Elliptic Curve
Algorithms and Architectures 

PI: Reza Azarderakhsh/Co-PI: Koray Karabina

Funding Agency: US Army


Recent Publications

Dr. Tim Ford, has written a new 
textbook entitles, Separable Algebra.
Due to be published on October 20, 2017,
this book presents a comprehensive
introduction to the theory of separable
algebras over commutative rings.
Azumaya algebras, the henselization of
local rings, and Galois theory are
rigorously introduced and treated.
Essential connections are drawn
between the theory of separable
algebras and Morita theory, the theory
of faithfully flat descent, cohomology,
derivations, differentials, reflexive lattices,
maximal orders, and class groups. 

http://bookstore.ams.org/gsm-183/


 

Subject-wise empirical likelihood

inference in partial linear models
for longitudinal data

Lianfen Qian, Suojin Wang

Computational Statistics & Data Analysis


On the Tucker Circles

Sandor Nagydobai Kiss, Paul Yiu

Forum Geometricorum


Connecting Orbits for Compact Infinite 

Dimensional Maps: Computer Assisted 
Proofs of Existence

R. de la Llave, J.D. Mireles James

SIAM Journal on Applied Dynamical Systems


 

See our Calendar

 

 

 

 

 

 

 

 

 

 

 

 

 

Minor in Statistics

The minor enables students to pursue knowledge in statistics while pursuing a major in other disciplines, including mathematics.

The required curriculum provides necessary statistical foundations of the field and practical applications relevant to their chosen area of specialization.

Each course must be completed with a grade of at least a C. To complete the minor in statistics, one has to complete the following required courses:

Prerequisites
Title Course Credits
Calculus 1 or Calculus for Engineers 1 MAC 2311 or MAC 2281 4
Calculus 2 or Calculus for Engineers 2 MAC 2312 or MAC 2282 4
Matrix Theory MAS 2103 3
Core Required Courses
Applied Statistics Lab STA 4202L 1
Applied Statistics 1 STA 4234 2
Probability and Statistics 1 STA 4442 3
Probability and Statistics 2 or Probability and Statistics for Engineers STA 4443 or STA 4032 3
To complete the program, students must select two electives from the following:
Intermediate Econometrics ECO 4422 3
Introduction to Queuing Theory MAP 4260 3
Statistical Mechanics PHY 4523 3
Computational Statistics 1 STA 4102 3
Computational Statistics 2 STA 4103 3
Applied Statistics 2 STA 4702 3
Applied Time Series and Forecasting STA 4853 3
Mathematics and Statistics Total   26

 

* As with all degree programs, the authoritative source for the degree requirements is the University Catalog that was in effect for the academic year in which the student entered the University. The information on this page does not supersede the Catalog.

For information about the Certificate Program or Minor in Statistics contact:
Prof. L. Qian, Statistics Advisor
Department of Mathematical Sciences
Science Bldg., Room 244
Boca Raton Campus
Office Phone: 561-297-2486
Email: lqian@fau.edu