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This page was created at 8:51 PM on Mon, Jul 14, 2003.
Spring HalfTerm Courses
STATS 412. Introduction to Probability and Statistics.
Prerequisites & Distribution: Prior or concurrent enrollment in MATH 215 and EECS 183. No credit granted to those who have completed or are enrolled in ECON 405, STATS 265, 400, or 405, or IOE 265. One credit granted to those who have completed or are enrolled in STATS 350. (3). May not be repeated for credit.
Credits: (3).
Course Homepage: http://www.stat.lsa.umich.edu/courses/
The objectives of this course are to introduce students to the basic ideas of probability and statistical inference and to acquaint students with some important data analytic techniques, such as regression and the analysis of variance. Examples will emphasize applications to the natural sciences and engineering. There will be regular homework, two midterms, and a final exam.
STATS 425 / MATH 425. Introduction to Probability.
Instructor(s):
Prerequisites & Distribution: MATH 215, 255, or 285. (3). May not be repeated for credit.
Credits: (3).
Course Homepage: No homepage submitted.
In this course students are introduced to the basic concepts of probability; expectation, variance, and covariance; distribution functions; and bivariate, marginal, and conditional distributions.
STATS 425 / MATH 425. Introduction to Probability.
Instructor(s):
Prerequisites & Distribution: MATH 215, 255, or 285. (3). May not be repeated for credit.
Credits: (3).
Course Homepage: No homepage submitted.
See Mathematics 425.
STATS 750(700). Directed Reading.
Instructor(s):
Prerequisites & Distribution: Graduate standing and permission of instructor. (16). (INDEPENDENT). May be elected for a maximum of 5 credits. May be elected more than once in the same term.
Credits: (16).
Course Homepage: No homepage submitted.
Designed for individual
students who have an interest in a specific topic (usually that has
stemmed from a previous course). An individual instructor must agree to
direct such a reading, and the requirements are specified when approval is
granted.
STATS 990. Dissertation/Precandidate.
Instructor(s):
Prerequisites & Distribution: Election for dissertation work by doctoral student not yet admitted as a Candidate. Graduate standing. (14). (INDEPENDENT). May be repeated for credit.
Credits: (14).
Course Homepage: No homepage submitted.
Election for dissertation work by doctoral student not yet admitted as a candidate.
STATS 995. Dissertation/Candidate.
Instructor(s):
Prerequisites & Distribution: Graduate School authorization for admission as a doctoral Candidate. Graduate standing. (4). (INDEPENDENT). May be repeated for credit.
Credits: (4).
Course Homepage: No homepage submitted.
Graduate school authorization for admission as a doctoral candidate. N.B. The defense of the dissertation (the final oral examination) must be held under a full term candidacy enrollment period.
Spring/Summer Term Courses
STATS 750(700). Directed Reading.
Instructor(s):
Prerequisites & Distribution: Graduate standing and permission of instructor. (16). (INDEPENDENT). May be elected for a maximum of 5 credits. May be elected more than once in the same term.
Credits: (16).
Course Homepage: No homepage submitted.
Designed for individual
students who have an interest in a specific topic (usually that has
stemmed from a previous course). An individual instructor must agree to
direct such a reading, and the requirements are specified when approval is
granted.
STATS 990. Dissertation/Precandidate.
Instructor(s):
Prerequisites & Distribution: Election for dissertation work by doctoral student not yet admitted as a Candidate. Graduate standing. (18). (INDEPENDENT). May be repeated for credit.
Credits: (18; 14 in the halfterm).
Course Homepage: No homepage submitted.
Election for dissertation work by doctoral student not yet admitted as a candidate.
STATS 995. Dissertation/Candidate.
Instructor(s):
Prerequisites & Distribution: Graduate School authorization for admission as a doctoral Candidate. Graduate standing. (8). (INDEPENDENT). May be repeated for credit.
Credits: (8; 4 in the halfterm).
Course Homepage: No homepage submitted.
Graduate school authorization for admission as a doctoral candidate. N.B. The defense of the dissertation (the final oral examination) must be held under a full term candidacy enrollment period.
Summer HalfTerm Courses
STATS 425 / MATH 425. Introduction to Probability.
Instructor(s):
Prerequisites & Distribution: MATH 215, 255, or 285. (3). May not be repeated for credit.
Credits: (3).
Course Homepage: No homepage submitted.
This course introduces students to useful and interesting ideas of the mathematical theory of probability and to a number of applications of probability to a variety of fields including genetics, economics, geology, business, and engineering. The theory developed together with other mathematical tools such as combinatorics and calculus are applied to everyday problems. Concepts, calculations, and derivations are emphasized. The course will make essential use of the material of Math 116 and 215. Topics include the basic results and methods of both discrete and continuous probability theory: conditional probability, independent events, random variables, jointly distributed random variables, expectations, variances, and covariances. Different instructors will vary the emphasis. Math 525 is a similar course for students with stronger mathematical background and ability. Stat 426 is a natural sequel for students interested in statistics. Math 523 includes many applications of probability theory.
STATS 466 / IOE 466 / MFG 466. Statistical Quality Control.
Section 881.
Instructor(s):
Jianjun Shi
Prerequisites & Distribution: STATS 265 and 401 or IOE 366. (4). CAEN lab access fee required for nonEngineering students. May not be repeated for credit.
Credits: (4).
Lab Fee: CAEN lab access fee required for nonEngineering students.
Course Homepage: No homepage submitted.
Design and analysis of procedures for forecasting and control of production processes. Topics include: attribute and variables sampling plans; sequential sampling plans; rectifying control procedures; and charting, smoothing, forecasting, and prediction of discrete time series.
STATS 750(700). Directed Reading.
Instructor(s):
Prerequisites & Distribution: Graduate standing and permission of instructor. (16). (INDEPENDENT). May be elected for a maximum of 5 credits. May be elected more than once in the same term.
Credits: (16).
Course Homepage: No homepage submitted.
Designed for individual
students who have an interest in a specific topic (usually that has
stemmed from a previous course). An individual instructor must agree to
direct such a reading, and the requirements are specified when approval is
granted.
STATS 990. Dissertation/Precandidate.
Instructor(s):
Prerequisites & Distribution: Election for dissertation work by doctoral student not yet admitted as a Candidate. Graduate standing. (14). (INDEPENDENT). May be repeated for credit.
Credits: (18; 14 in the halfterm).
Course Homepage: No homepage submitted.
Election for dissertation work by doctoral student not yet admitted as a candidate.
STATS 995. Dissertation/Candidate.
Instructor(s):
Prerequisites & Distribution: Graduate School authorization for admission as a doctoral Candidate. Graduate standing. (4). (INDEPENDENT). May be repeated for credit.
Credits: (8; 4 in the halfterm).
Course Homepage: No homepage submitted.
Graduate school authorization for admission as a doctoral candidate. N.B. The defense of the dissertation (the final oral examination) must be held under a full term candidacy enrollment period.
This page was created at 8:51 PM on Mon, Jul 14, 2003.
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