ACO Program Description
Organization
The ACO program is a joint venture of the
College of Computing,
the School of Industrial and
Systems Engineering, and the School
of Mathematics, with additional participation by the faculty of the
School of Electrical and Computer Engineering.
The program is led by a director, who relies on the advice of a
Coordinating Committee drawn from the
participating faculty and representing all of the participating units. The
program does not constitute an independent academic unit.
Each student in the program has a home department chosen from
among the three sponsoring units.
Academic Requirements
The requirements listed below are in force as of Fall 2011. Students
who matriculated prior to August 15, 2011 may elect to satisfy the
previous requirements.
Students must satisfy the Institute's requirements as described in the
general
catalog. However, specific requirements for the ACO program may vary
significantly from those of other programs in the participating departments.
Regardless of the home department, each ACO student must complete the
ACO core courses. At least 15 hours of course
work beyond the program core must also be completed; some of these
additional courses are specified by
the student's home department.
All required courses must be passed with a grade of B or better.
Here is a list of past and current
ACO-related courses.
Other requirements include the
minor field of study, passing the
comprehensive examination,
defending a research proposal, and
successful defense of the dissertation.
Currently enrolled ACO students should consult the
FAQ page
for more information.
Graduate level courses taken at other institutions
may be used to satisfy ACO course requirements with the approval of the
Coordinating Committee. However, the Committee may request passing an
examination in the subject before granting this approval.
Core Courses
The ACO core curriculum consists of the following one-semester courses:
Computing
- CS 6505 - Computability and Algorithms or CS 6520 Complexity
(CoC students must select the latter)
- CS 6550 - Design and Analysis of Algorithms
Industrial and Systems Engineering
- ISyE 7661 - Theory of Linear Inequalities
- ISyE 7686 - Advanced Combinatorial Optimization
Mathematics
- Math 6014 - Graph Theory
- Math 6121 - Algebra I (Students in ISyE may
substitute Math 6112 Advanced Linear Algebra)
- Math 7018 - Probabilistic Methods in Combinatorics
Additional Course Requirements
Each student must complete at least 15 semester hours of course work at
the 6000 or higher level in addition to the courses that constitute the
program core. The following courses are required, depending on the student's
home department:
Computing
- Two theory courses at the level of 7000 or above
Industrial and Systems Engineering
- ISyE/Math 6761 - Stochastics I
- ISyE 6663 - Nonlinear Optimization
Mathematics
- Math 6337 - Real Analysis I
- Math 6338 - Real Analysis II is not required but is strongly encouraged
- Two of the following three:
Math 6112 - Advanced Linear Algebra
Math 6321 - Complex Analysis
A 6000 level or above topology/geometry course
Comprehensive Examination
ACO students are strongly encouraged to pass the written Comprehensive
Examination by the end of their third academic semester in residence (that
is, not counting the summer semester), and must take it before the end of
their fourth academic semester.
This examination will be based on the content of the courses in the
program core.
Based on the results of this test as well as other measures of the student's
performance, the Coordinating Committee may pass the candidate, fail the
candidate with a recommendation that the test be re-administered in part or
in whole after allowing at most one year for remediation of the student's
deficiencies, or fail the student unconditionally. Upon passing the
examination, students will be advised that they will be admitted to
candidacy for the Ph.D. upon satisfactory completion of all requirements
and filing a statement naming the dissertation advisor and research
topic.
Examination Syllabi
Samples of past Comprehensive Examinations
can be downloaded in PDF format here.
Note that only those from Spring 2001 on reflect the semester system. Others
are from the quarter system, in which ACO requirements were slightly
different:
Research Proposal
By the end of their third calendar year in residence, each ACO student must
defend a Research Proposal. The purpose of this exercise is to demonstrate that
the student has adequate knowledge of a research area that would allow a thesis
of the quality expected by ACO students, that the student is aware of an
adequate supply of research problems, that he or she has a plan to pursue those
problems, and that he or she
is capable to carrying out his or her plan. Detailed
guidelines are available
here.
Minor Field of Study
Each student must satisfy the
Institute's requirement of a minor program
of study of at least 9 hours of course work chosen to the satisfaction of
the Coordinating Committee and the student's home department. Courses in the
ACO core curriculum may not be used as part of a minor program.
The Dissertation and Final Doctoral
Examination
A student's thesis research may be carried out under the direction of any
member of the program faculty. Research topics may therefore be chosen from
a wide range of subjects in combinatorics, complexity and the analysis of
algorithms, and combinatorial optimization.
The dissertation and final doctoral examination must meet the usual criteria
of the Institute, and the additional requirements listed below.
Dissertation advisory committees and doctoral examination
committees must represent the student's home department and at least one other
unit participating in the program.
Each ACO thesis must be available for public viewing at least one
month prior to the scheduled defense. For each ACO thesis a recognized
expert in the field (other than the advisor or coadvisors, if any) must
be designated as "reader". The reader may or may not be from Georgia
Tech, and may or may not be a member of the thesis committee. A report
from the reader must be available to the thesis committee and the ACO
Director prior to the defense.
The reader's report should comment on the main research contributions,
readability and publishability of the results.
An ACO thesis should include results that in the judgment of the dissertation
committee are publishable in top specialized journals in the corresponding
field.
Expected Progress Toward the Ph.D.
in ACO
Most items in this section are not a strict requirement, but a guideline as to
how ACO students should progress.
ACO students should strive for a cumulative GPA of 4.0. All required
coursework must be passed with a grade of B or better.
Year 1: Classes, searching for prospective research advisement.
Year 2: Sit for and pass the comprehensive examination in the
first semester. At the end of the second year, each student should have
a formal dissertation advisor
Year 3: Independent research; defense of the research proposal.
By the completion of the third year, students should have produced at
least one result satisfying the following specification based upon
their field of study:
- CS: Accepted to a top tier conference/symposia.
- ISyE: IPCO quality work; accepted by IPCO if same is held that year.
- Math: Draft of a paper publishable in a top tier specialized journal.
In subsequent years students are expected to devote their efforts toward
completing the dissertation. The expectation is that ACO students should
complete their work in approximately five years. The quality of the
dissertation is expected to meet the following specifications based on
the respective field of study:
- CS: One or two papers accepted by top conferences and the
corresponding articles submitted to top journals.
- ISyE: At least one paper accepted by Mathematical Programming
or a journal of similar quality.
- Math: At least one paper accepted by a top specialized journal,
other papers submitted.
. . . . . . . . . . . . . . |
This page is maintained by the
ACO Webmaster,
at the
School of Mathematics,
Georgia Institute of Technology.
Last modified: March 23, 2012
Georgia Tech Disclaimer:
Notwithstanding any language to the contrary, nothing contained
herein constitutes nor is intended to constitute an offer, inducement,
promise, or contract of any kind. The data contained herein is for
informational purposes only and is not represented to be error free.
Any links to non-Georgia Tech information are provided as a courtesy.
They are not intended to nor do they constitute an endorsement by the
Georgia Institute of Technology of the linked materials.
|
|