School Research Statistics Report
徐芳依 0811
School(s)
Courses
Credits
&
UCSD
GaTech
UCLA
Department of Mathematics
The School of Mathematics (Math) & The
School of Industrial and Systems Engineering
(ISyE)
Department of Statistics
48 units of course credit subject to adviser
approval are needed. Up to 8 of them can be
from upper-division Mathematics. Up to 8
of them can be graduate courses in other
departments. Mathematics 295 and 500
generally don't count toward those 48 units,
and neither do seminar courses, unless the
student's participation is substantial.
Fulltime students are generally required to
register for at least 12 units per quarter.
Core: 12 hrs
Advanced: 6 hrs
Methods: 6 hrs
Statistics Electives: 3 hrs
Free Electives: 3 hrs
Total: 30 hrs
Details see:
http://www.registrar.ucla.edu/catalog/catalog0910-787.htm#832964632_pgfId-237947
The M.S. in Statistics is designed to provide
recipients with a strong mathematical
background and experience in statistical
computing with various applications. Out of
the 48 units of credit needed, required core
courses comprise 28 units, including:
Mathematics
281A-B-C
(Mathematical
All below are 3 hour courses.
Core Courses
Math 4261 Mathematical Statistics I
Math 4262 Mathematical Statistics II
ISyE 6401 Statistical Modeling and Design of
Experiments (or ISyE 6414)
ISyE 7400 Advanced Design of Experiments or
ISyE 7401 Advanced Statistical Modeling
Advanced Courses
ISyE 7441 Theory of Linear Models or
MATH 6266 Linear Statistical Models
Lower Division Courses:
10. Introduction to Statistical Reasoning. (5)
10H. Introduction to Statistical Reasoning
(Honors). (4)
11. Introduction to Statistical Methods for
Business and Economics. (5)
12. Introduction to Statistical Methods for
Geography and Environmental Studies. (5)
13. Introduction to Statistical Methods for Life
and Health Sciences. (5)
14. Introduction to Statistical Methods in
Physical Sciences and Engineering. (5)
35A. Interactive and Computational Probability.
(4)
Statistics)
Mathematics 282A-B (Applied Statistics)
and any two topics comprising eight (8)
units chosen freely from Mathematics
287A-B-C-D and 289A-B-C (see course
descriptions for topics).
MATH 6262 Statistical Estimation
MATH 6263 Testing Statistical Hypotheses
MATH 6267 Multivariate Statistical Analysis
Math/ISyE 6761 Stochastic Processes I
Math/ISyE 6762 Stochastic Processes II
Math/ISyE 6781 Reliability Theory
The following guidelines should
followed when selecting courses
complete the remaining 20 units:
Methods Courses
ISyE 6402 Time Series
ISyE 6404 Nonparametric Data Analysis
ISyE 6405 Response Surfaces
ISyE 7400 Advanced Design of Experiments
ISyE 7401 Advanced Statistical Modeling
ISyE 7405 Multivariate Data Analysis (see also
ISyE 6413 and 6805)
be
to
For a theoretical emphasis, Mathematics
280A-B-C
(Probability
Theory)
is
recommended.
For an applied orientation, Mathematics
270A-B-C (Numerical Mathematics) is
recommended.
Upon special approval of the faculty
adviser, the rule above, limiting graduate
units from other departments to 8, may be
relaxed in making up these 20 non-core
units.
Faculties
Ian Abramson
Professor
Undergraduate Vice Chair Ph.D., University
35B. Introduction to Probability
Applications to Poker. (4)
35C. Applied Sampling. (4)
88. Sophomore Seminars: Statistics. (2)
with
Electives (A non-comprehensive and brief list )
ISyE 6650 Probabilistic Models and their
Applications
ISyE 6644 Simulation
ISyE 6656 Queueing Theory
Details see:
http://www.math.gatech.edu/people/faculty
The Faculty Roster page cannot be found, I can
check it some days later.
Berk, Richard — Professor Emeritus,
of California, Berkeley
Ery Arias-Castro
Assistant Professor
Applied Probability, Statistics, Machine
Learning
Ph.D., Stanford University
Dimitris Politis
Professor
Time Series Analysis, Bootstrap Methods,
Nonparametrics
Ph.D., Stanford University
Institute of Mathematical Statistics Fellow
Probability and Statistics

mathematical physics




Ronghui Xu
Associate Professor
Associate Professor of Family and
Preventive Medicine High Dimensional
Data Analysis, Random Effects Models,
Survival Analysis, Clinical Trials
Ph.D., University of California, San Diego
David P. Byar Young Investigator Award,
American Statistical Association
Yuri Bakhtin - probabilistic models of
Leonid Bunimovich
evaluation of complex computer models
Ioudina, Vera — Lecturer, 310-794-4004
Applied Statistics, Regression, Statistics
Education.
Port, Sidney — Professor Emeritus,
310-825-2207
Probability theory, Limit theorems,
Markov processes, Potential theory,
Eric Carlen
Ted Hill
Christian Houdré - Mathematical
Finance

Applied statistics, statistical learning,
Robert Kertz

Vladimir Koltchinskii

Michael Lacey
Applied Statistics, Applications of
Mathematics to Medicine
Ylvisaker, Donald — Professor Emeritus,
310-825-4819
Design theory, Applied statistics
Details see:
http://directory.stat.ucla.edu/
As a supplement, I found:
Center for the Teaching of Statistics
Faculty

Mahtash Esfandiari

Heinrich Matzinger

Susan D. Cochran

Liang Peng

Jan de Leeuw

Ionel Popescu

Vivian Lew

Ron Shonkwiler

Juana Sanchez

Carl Spruill

Nicolas Christou

Ivo Dinov

Gretchen G. Davis
Etc.
Alumni
http://math.ucsd.edu/alumni/
http://directory.stat.ucla.edu/alumni.php
Financial Aid
Offers several kinds of financial assistance
to entering graduate students.
The School of Mathematics support virtually all
doctoral students, but only a very few MS
students.
Typically, stipends are paid for work as
Graduate Teaching Assistants (TAs).
Advantages
Any Master's student can submit for
consideration a written request to transfer
into the Ph.D. program when the qualifying
exam requirements for the Ph.D. program
A strong group of faculties. (Including Chinese.)
1. A stronger group of faculties. (Including more
Chinese.)  The best of the 3.
2. Various courses.
3. Location. Business center, metropolis.
have been met and a dissertation adviser is
found (refer to "Ph.D. in Mathematics" for
complete description of the departmental
examinations). Approval by the Qualifying
Exam and Appeals Committee (QEAC) is
not automatic, however.
Disadvantages
1. Ranking low. (Univ & Department)
2. Lack of faculties. (There are only 4
teachers focusing on statistics area, in
which there are only 2 professors.)
3. Location. Not in financial center. Mexico
Culture…
1. Ranking low
2. In midtown Atlanta
首选 UCLA，环境好，就业方便，理论联系实践，师资强，课程设置强。
次选 GaTech，再次 UCSD。这两所学校排名差不多，前者师资好一些，但是比较学术，后者嘛，毕竟是在加州，比亚特兰大强吧，可是老师少得可怜。