UM Testudo | Schedule Of Classes

Schedule Of Classes

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Colleges Departments Core Courses

BIOM Biometrics ( Agriculture and Natural Resources)

BIOM301 Introduction to Biometrics; (3 credits) Grade Method: REG/P-F/AUD.
Prerequisite: MATH113 or MATH115. Descriptive statistics, introduction to probability, sampling, confidence interval estimation, hypothesis testing, simple regression and correlation. Emphasis on simple applications of statistical techniques and interpretation of statistical results.

0101(06795) Hakenkamp, C. (FULL: Seats=28, Open=0, Waitlist=0) Books
TuTh...... 2:00pm- 2:50pm (JMZ 0220)

M......... 1:00pm- 1:50pm (ANS 0473) Dis

0102(06796) Hakenkamp, C. (FULL: Seats=28, Open=0, Waitlist=0) Books
TuTh...... 2:00pm- 2:50pm (JMZ 0220)

M......... 2:00pm- 2:50pm (ANS 0473) Dis

0103(06797) Hakenkamp, C. (FULL: Seats=28, Open=0, Waitlist=0) Books
TuTh...... 2:00pm- 2:50pm (JMZ 0220)

M......... 3:00pm- 3:50pm (ANS 0473) Dis

0104(06798) Hakenkamp, C. (FULL: Seats=28, Open=0, Waitlist=0) Books
TuTh...... 2:00pm- 2:50pm (JMZ 0220)

Tu........ 9:30am-10:20am (ANS 0473) Dis

0105(06799) Hakenkamp, C. (FULL: Seats=28, Open=0, Waitlist=0) Books
TuTh...... 2:00pm- 2:50pm (JMZ 0220)

Tu........11:00am-11:50am (ANS 0473) Dis

0106(06800) Hakenkamp, C. (FULL: Seats=28, Open=0, Waitlist=0) Books
TuTh...... 2:00pm- 2:50pm (JMZ 0220)

Tu........12:30pm- 1:20pm (ANS 0473) Dis

BIOM405 (PermReq) Computer Applications in Biometrics; (1 credit) Grade Method: REG/P-F/AUD.
Prerequisite: BIOM402 or equivalent. An introduction to computer applications for data analysis. This is equivalent to the computer lab of 601 and is required for students that have taken BIOM 301 and BIOM402 and wish to go directly into BIOM602.

0101(06810) Siewerdt, F. (Seats=5, Open=3, Waitlist=0) Books
Time and room to be arranged

BIOM601 Biostatistics I; (4 credits) Grade Method: REG/AUD.
Prerequisite: BIOM 301, STAT 464 or equivalent. Not open to students who have completed BIOM 402. Credit will be granted for only one of the following: BIOM 401 or BIOM 601. Estimation and hypothesis testing, t tests, one and two way analysis of variance, regression, analysis of frequency data. Lecture will emphasize uses and limitations of these methods in biology, while the laboratory will emphasize the use of statistical analysis software for the analysis of biological data.

0101(06820) Siewerdt, F. (Seats=27, Open=3, Waitlist=0) Books
TuTh......12:30pm- 1:45pm (ANS 0408)

Tu........ 2:00pm- 4:00pm (ANS 0473) Lab

0102(06821) Siewerdt, F. (Seats=27, Open=6, Waitlist=0) Books
TuTh......12:30pm- 1:45pm (ANS 0408)

W......... 9:00am-11:00am (ANS 0473) Lab

0104(06822) Siewerdt, F. (Seats=27, Open=1, Waitlist=0) Books
TuTh......12:30pm- 1:45pm (ANS 0408)

Th........ 2:00pm- 4:00pm (ANS 0473) Lab

BIOM603 Biostatistics III; (4 credits) Grade Method: REG/AUD.
Prerequisite: BIOM 602; or equivalent. Applications and implementation of linear model analysis to biological data, including logistic and Poisson regression models for correlated data.

0101(06832) Song, J. (Seats=25, Open=25, Waitlist=0) Books
Th........ 2:00pm- 3:15pm (ANS 0402)

Tu........ 2:00pm- 3:15pm (ANS 0402)

Th........ 9:30am-11:30am (ANS 0473) Lab

BIOM621 Applied Multivariate Statistics; (3 credits) Grade Method: REG/AUD.
Prerequisite: BIOM 602. Recommended: BIOM 603. Not open to students who have completed BIOM 688B. Brief review of matrix algebra, means, covariance matrices, multivariate normal, multivariate confidence ellipses, MANOVA, Discriminant Methods, Principal Component Analysis, Factor Analysis, Multidimensional Scaling, Cluster Analyses, and other topics, depending on student interest.

0101(06842) Momen, B. (Seats=20, Open=10, Waitlist=0) Books
TuTh...... 3:30pm- 4:45pm (PLS 1162)

BIOM688A Topics in Biometrics: Consulting Experience in Biometrics; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number.

BIOM698 Special Problems in Biometrics; (1-3 credits) Grade Method: REG/AUD. Individual Instruction course: contact department or instructor to obtain section number.

Course:	Section:
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