Note: You must establish a session for the correct term (Spring, Summer, or Spring/Summer Academic Term 2003) on wolverineaccess.umich.edu in order to use the link "Check Times, Location, and Availability". Once your session is established, the links will function.
This page was created at 8:25 PM on Mon, Jul 14, 2003.
Spring HalfTerm Courses
STATS 100. Introduction to Statistical Reasoning.
Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in SOC 210, STATS 265, 350, 400, 405, or 412, IOE 265, or ECON 404 or 405. (4). (MSA). (BS). (QR/1). May not be repeated for credit.
Credits: (4).
Course Homepage: http://www.stat.lsa.umich.edu/courses/
Provides an overview of the field of statistics, including methods of summarizing and analyzing data, statistical reasoning for learning from observations (experimental or sample), and techniques for dealing with uncertainties in drawing conclusions from collected data. Emphasis is on presenting underlying concepts rather than covering a variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, and GSI input. The course format includes lectures and a discussion section (1 hour per week).
STATS 350(250/402). Introduction to Statistics and Data Analysis.
Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in ECON 404 or 405, or IOE 265 or STATS 265, 400, 405, or 412. (4). (NS). (BS). (QR/1). May not be repeated for credit.
Credits: (4).
Course Homepage: http://www.stat.lsa.umich.edu/courses/
In this course students are introduced to the concepts and applications of statistical methods and data analysis. STATS 350 has no prerequisite and has been elected by students whose mathematics background includes only high school algebra. Examples of applications are drawn from virtually all academic areas and some attention is given to statistical process control methods. The course format includes lectures (3 hours per week) and a laboratory (1.5 hours per week). The laboratory section deals with the computational aspects of the course and provides a forum for review of lecture material. For this purpose, students are introduced to the use of a statistical analysis computer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, and lab participation.
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). (Excl). (BS). 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). (Excl). (BS). 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). (Excl). (BS). May not be repeated for credit.
Credits: (3).
Course Homepage: No homepage submitted.
See Mathematics 425.
STATS 499. Honors Seminar.
Instructor(s):
Prerequisites & Distribution: Permission of departmental Honors advisor. (23). (Excl). (INDEPENDENT). May not be repeated for credit.
Credits: (23).
Course Homepage: No homepage submitted.
Advanced topics, reading and/or research in applied or theoretical statistics.
Spring/Summer Term Courses
Summer HalfTerm Courses
STATS 350(250/402). Introduction to Statistics and Data Analysis.
Section 201.
Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in ECON 404 or 405, or IOE 265 or STATS 265, 400, 405, or 412. (4). (NS). (BS). (QR/1). May not be repeated for credit.
Credits: (4).
Course Homepage: http://www.stat.lsa.umich.edu/courses/
In this course students are introduced to the concepts and applications of statistical methods and data analysis. STATS 350 has no prerequisite and has been elected by students whose mathematics background includes only high school algebra. Examples of applications are drawn from virtually all academic areas and some attention is given to statistical process control methods. The course format includes lectures (3 hours per week) and a laboratory (1.5 hours per week). The laboratory section deals with the computational aspects of the course and provides a forum for review of lecture material. For this purpose, students are introduced to the use of a statistical analysis computer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, and lab participation.
STATS 425 / MATH 425. Introduction to Probability.
Instructor(s):
Prerequisites & Distribution: MATH 215, 255, or 285. (3). (Excl). (BS). 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). (Excl). (BS). 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.
This page was created at 8:26 PM on Mon, Jul 14, 2003.
University of Michigan  College of LS&A  Student Academic Affairs  LS&A Bulletin Index  Department Homepage
This page maintained by LS&A Advising Technology (webmaster_saa@umich.edu), 1228 Angell Hall
Copyright © 2003 The Regents of the University of Michigan,
Ann Arbor, MI 48109 USA +1 734 7641817
Trademarks of the University of Michigan may not be electronically or otherwise altered or separated from this document or used for any nonUniversity purpose.
