Information for Prospective Students Information for First-Year Students Information for Transfer Students Information for International Students Learning Communities, Study Abroad, Theme Semester Calendars Quick Reference Forms Listings Table of Contents SAA Search Feature Academic Advising, Concentration Advising, How-tos, and Degree Requirements Academic Standards Board, Academic Discipline, Petitions, and Appeals SAA Advisors and Support Staff

Spring/Summer 2001 Course Guide

Note: You must establish a session for the correct term (Spring, Summer, or Spring/Summer 2001) on wolverineaccess.umich.edu in order to use the link "Check Times, Location, and Availability". Once your session is established, the links will function.

Courses in Statistics

This page was created at 7:06 PM on Fri, Jul 27, 2001.


Calendars

Spring Half-Term, 2001 (May 1 June 22)
Spring/Summer Term, 2001 (May 1 August 17)
Summer Half-Term, 2001 (June 27 August 17)


Skip to a Specific Term's Descriptions:

Spring Half-Term

Spring/Summer Term

Summer Half-Term


Spring Half-Term Courses

Wolverine Access Subject listing for STATS

Spring Term '01 Time Schedule for Statistics


STATS 100. Introduction to Statistical Reasoning.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stat. 250, 350, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/class/stat100/spring

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).

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 350(250/402). Introduction to Statistics and Data Analysis.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/class/stat350/spring

In this course students are introduced to the concepts and applications of statistical methods and data analysis. Statistics 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 (l.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.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 412. Introduction to Probability and Statistics.

Section 101.

Instructor(s):

Prerequisites & Distribution: Prior or concurrent enrollment in Math. 215 and CS 183. No credit granted to those who have completed or are enrolled in Econ. 405, or Stat. 265, 311, 350, 400, or 405. One credit granted to those who have completed Stat. 250 or 402. (3). (MSA). (BS).

Credits: (3).

Course Homepage: No Homepage Submitted.

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.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 425/Math. 425. Introduction to Probability.

Section 101.

Instructor(s):

Prerequisites & Distribution: Math. 215, 255, or 285. (3). (MSA). (BS).

Credits: (3).

Course Homepage: No Homepage Submitted.

See Mathematics 425.101.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 425/Math. 425. Introduction to Probability.

Section 102.

Instructor(s):

Prerequisites & Distribution: Math. 215, 255, or 285. (3). (MSA). (BS).

Credits: (3).

Course Homepage: No Homepage Submitted.

See Mathematics 425.102.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 499. Honors Seminar.

Instructor(s):

Prerequisites & Distribution: Permission of departmental Honors advisor. (2-3). (Excl). (INDEPENDENT).

Credits: (2-3).

Course Homepage: No Homepage Submitted.

Advanced topics, reading and/or research in applied or theoretical statistics.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

Spring/Summer Term Courses

Wolverine Access Subject listing for STATS

Spring/Summer Term '01 Time Schedule for Statistics



Summer Half-Term Courses

Wolverine Access Subject listing for STATS

Summer Term '01 Time Schedule for Statistics


STATS 350(250/402). Introduction to Statistics and Data Analysis.

Section 201.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

In this course students are introduced to the concepts and applications of statistical methods and data analysis. Statistics 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 (6 hours per week) and a laboratory (3 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 a midterm exam, a final exam, in-class quizzes, weekly homework, and lab participation.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 350(250/402). Introduction to Statistics and Data Analysis.

Section 202.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

In this course students are introduced to the concepts and applications of statistical methods and data analysis. Statistics 402 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 (6 hours per week) and a laboratory (3 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.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 350(250/402). Introduction to Statistics and Data Analysis.

Section 203.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

In this course students are introduced to the concepts and applications of statistical methods and data analysis. Statistics 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 (6 hours per week) and a laboratory (3 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.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 350(250/402). Introduction to Statistics and Data Analysis.

Section 204.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

In this course students are introduced to the concepts and applications of statistical methods and data analysis. Statistics 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 (6 hours per week) and a laboratory (3 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.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

STATS 350(250/402). Introduction to Statistics and Data Analysis.

Section 205.

Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: No Homepage Submitted.

No Description Provided.

Check Times, Location, and Availability


STATS 425/Math. 425. Introduction to Probability.

Section 201.

Instructor(s):

Prerequisites & Distribution: Math. 215, 255, or 285. (3). (MSA). (BS).

Credits: (3).

Course Homepage: No Homepage Submitted.

No Description Provided.

Check Times, Location, and Availability


Graduate Course Listings for STATS.


Page


This page was created at 7:06 PM on Fri, Jul 27, 2001.


LSA logo

University of Michigan | College of LS&A | Student Academic Affairs | LS&A Bulletin Index | Department Homepage

This page maintained by LS&A Academic Information and Publications, 1228 Angell Hall

Copyright © 2001 The Regents of the University of Michigan,
Ann Arbor, MI 48109 USA +1 734 764-1817

Trademarks of the University of Michigan may not be electronically or otherwise altered or separated from this document or used for any non-University purpose.