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| Statistics | Mathematics | Computer Science |
| STAT 5123 Probability | MATH 4143 Advanced Calculus I | COMSC 1113 Computer Science I or competence in a computer language |
| STAT 5223 Inference | MATH 4153 Advanced Calculus II | |
| STAT 5013 Statistics for Experimenters I | MATH 5143 Real Analysis I | |
| STAT 5023 Statistics for Experimenters II | ||
| STAT 5093 Statistical Computing | ||
| STAT 6113 Probability Theory | ||
| STAT 6203 Large Sample Inference | ||
| STAT 5213 Bayesian Decision Theory | ||
| STAT 5303 Experimental Design | ||
| STAT 5323 Linear Models I | ||
| STAT 5333 Linear Models II | ||
| STAT 5403 Theory of Sample Design | ||
| STAT 5513 Multivariate Analysis | ||
| STAT 6223 Advanced Statistical Inference | ||
| STAT 6910** (3) Special Problems |
* Students are encouraged to enroll in STAT 4091 (5910) SAS Programming to gain experience with SAS.
** This course is required of every doctoral student and is to consist of material relating to the student’s research interest. The course will be taught by the dissertation advisor and may be used to prepare the dissertation proposal. The prerequisite is permission of the instructor.
Two
three-hour 4000 level or higher graduate courses, excluding those with STAT or
MATH prefixes, are required.
Outside courses taken for a Masters degree may count toward this
requirement. The
following courses will NOT be allowed to count toward this outside course.
AGEC
5103 Mathematical Economics, BAE 5513 Experimental Engineering Analysis, ECON
4213 Econometric Methods, IEM 5003 Stochastic Processes, IEM 5133 Statistics and
Research Methods, PSYC 5303 & 5313 Quantitative Methods in Psychology I
& II, REMS 5013 Research Design and Methodology, REMS 5953 Elementary
Statistical Methods in Education, REMS 6003 Analyses of Variance, REMS 6013
Multiple Regression Analysis in Behavioral Studies.
With consent of a student’s graduate committee, a 3000-level course approved for graduate credit may be used for an outside course.
The plan of study is usually made with the help of the advisory committee prior to the re-enrollment date during the second full semester of enrollment. The Ph.D. Preliminary Examination must be passed before the appointment of an advisory committee. The selection of courses for an acceptable program is the responsibility of the student and the advisory committee. STAT 3013 Intermediate Statistical Analysis, STAT 4013 Statistical Methods I, STAT 4023 Statistical Methods II, STAT 4203 Mathematical Statistics I, STAT 4213 Mathematical Statistics II, STAT 5013 Statistics for Experimenters I are not allowed on the plan of study.
The examination consists of material from the courses STAT
5123 Probability,
STAT
5223 Inference, STAT 5303 Experimental Design, and
STAT 5323 Linear Models I.
Doctoral students are required to take the preliminary exam at the first opportunity after the completion of courses
STAT
5123 Probability, STAT
5223 Inference,
STAT 5303 Experimental Design, and STAT 5323 Linear Models I, or equivalent graduate level courses, as approved by the advisor. Failure to take the exam at the first opportunity will result in a failure of the exam on the first attempt.
The examination may be taken at most twice. Students will be evaluated based on the results of all subjects simultaneously.
This examination is required by the Graduate College and is to be administered by the student’s advisory committee. It is to consist of a written and oral presentation of the thesis proposal as well as written and oral questions submitted to the candidate by his/her advisory committee. The student must have passed the preliminary examination and must have secured the permission of his principal advisor.
Defense
Please see the Guide to Defense Presentations for information on the defense of the project or thesis.
Last update: 08/24/2006
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