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.
This page was created at 7:06 PM on Fri, Jul 27, 2001.
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Spring HalfTerm 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).
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).
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).
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 analysiscomputer 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.
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.
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.
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.
STATS 499. Honors Seminar.
Instructor(s):
Prerequisites & Distribution: Permission of departmental Honors advisor. (23). (Excl). (INDEPENDENT).
Credits: (23).
Course Homepage: No Homepage Submitted.
Advanced topics, reading and/or research in applied or theoretical statistics.
Spring/Summer Term Courses
Wolverine Access Subject listing for STATS
Spring/Summer Term '01 Time Schedule for Statistics
Summer HalfTerm 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).
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 analysiscomputer package. Course evaluation is based on a combination of a midterm exam, a final exam, inclass quizzes, weekly homework, and lab participation.
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).
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 analysiscomputer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, and lab participation.
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).
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 analysiscomputer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, and lab participation.
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).
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 analysiscomputer package. Course evaluation is based on a combination of two examinations, a final examination, weekly homework, and lab participation.
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).
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
This page was created at 7:06 PM on Fri, Jul 27, 2001.
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