BIOM 109. Introductory Biometrics (4). Descriptive statistics, probability, random variables, discrete and continuous distributions, confidence intervals, tests of hypothesis, contingency tests, regression and correlation, analysis of variance. Emphasis: methods and applications used in the biological and natural resource sciences. Prereq: MATH 115 (with IA, may be concurrent) or HSU math code 50 or IC.
BIOM 199. Supplemental Instruction in Applied Statistics (1). Intensive review of basic statistical methods used in the biosciences. Prereq: A basic statistics or biometrics class.
BIOM 333 / STAT 333. Intermediate Statistics (4). Topics from beginning statistics covered in more depth. More sophisticated concepts related to scientific applications, including probability distributions, methods of estimation, properties of estimators, sampling theory, linear regression, and analysis of variance. Prereqs: math code 50 or MATH 115 or MPT3 15; either BIOM 109 or STAT 108. Weekly: 3 hrs lect, 2 hrs lab.
BIOM 406. Introduction to Sampling Theory (4) S. Introduction to and survey of applied sampling theory.Equal and unequal probability selection methods; simple and complex survey designs. Prereq: BIOM 109 or equivalent. Weekly: 3 hrs lect, 2 hrs activ.
BIOM 408. Experimental Design & ANOVA (4). Analysis of variance and nonparametric alternatives. Designs: nested, randomized complete block, factorial, and fractional factorial. Covariance designs. Prereq: BIOM 109 or STAT 108 or equivalent. Weekly: 3 hrs lect, 2 hrs activ.
BIOM 480. Special Topics in Biometrics (1-3). Detailed and/or timely exploration of topics on statistical methods in natural resources and sciences. Rep. Prereq: BIOM 109 or equivalent; some topics require additional preparation and/or IA. Lect/lab as appropriate.
BIOM 499. Directed Study (1-4). Individual study for upper division students. Directed readings, conferences, or research. Rep. Prereq: BIOM 109 or equivalent.
BIOM 506. Introduction to Sampling Theory (4) S. Meets jointly with BIOM 406. Students in 506 expected to carry out additional independent sampling project and report findings in class. Prereq: BIOM 109 or equivalent. Weekly: 3 hrs lect, 2 hrs lab.
BIOM 508. Multivariate Biometry (4). Explore and model multivariate systems. Matrix algebra, correlation matrices, principal components, common factors, canonical correlation. Use and interpret computer-assisted analyses. Prereq: BIOM 109 or equivalent; matrix algebra highly recommended. Weekly: 3 hrs lect, 2 hrs activ.
BIOM 510. Model Selection & Inference (4). New approaches. Emphasis: research, management application. Resource selection modeling; parsimonious model selection with Akaike's information criterion; Bayesian interpretation; goodness-of-fit, including bootstrapping; collaborative project. Prereq: BIOM 109 (or equivalent) and 333 (C). Weekly: 3 hrs lect, 2 hrs activ.
BIOM 580. Special Topics in Biometrics (1-3). Graduate-level studies. Detailed and/or timely exploration of topics on statistical methods in natural resources and sciences. Rep. Prereq: BIOM 109 or equivalent; some topics require additional preparation and/or IA. Lect/lab as appropriate.
BIOM 608. Experimental Design & ANOVA (5). Analysis of variance and nonparametric alternatives. Designs: nested, randomized complete block, factorial, and fractional factorial. Covariance designs. Prereq: BIOM 109. Weekly: 3 hrs lect, 2 hrs activ.
activ = activity section
(C) = may be concurrent
CAN = California articulation number (for a more complete explanation, see section 3 under Transfer Requirements).
coreq = corequisite(s)
CR/NC = credit/no credit grading
DA = department approval
DCG = diversity & common ground elective course
disc = discussion section
F, S, Su = fall, spring, summer. To help in long-range academic planning, these letters signify that a course is regularly offered in a fall, spring, or summer term.
GE = general education elective course
IA = instructor approval
lect = lecture section
prereq = prerequisite(s)
rep = may be repeated