Approved Courses
The following list includes undergraduate courses that have been approved as of June 2010. Courses added after that date do not appear in this list. Courses eliminated after that date may still appear. Not every course is offered regularly. Students should consult the Schedule of Classes at www.testudo.umd.edu to ascertain which courses are actually offered during a given semester.
COURSE NUMBERING SYSTEM
| Number |
|
Eligibility |
| 000-099 |
|
Non-credit course |
| 100-199 |
|
Primarily freshman course |
| 200-299 |
|
Primarily sophomore course |
| 300-399 |
|
Junior, senior course not acceptable for credit toward graduate degrees |
| 386-387 |
|
Campus-wide internship courses; refer to information describing Experiential Learning |
| 400-499 |
|
Junior, senior course acceptable for credit toward some graduate degree |
| 500-599 |
|
Professional School course (Dentistry, Architecture, Law, Medicine) or post-baccalaureate course |
| 600-899 |
|
Course restricted to graduate students |
| 799 |
|
Master Thesis credit |
| 899 |
|
Doctoral Dissertation credit |
Use the search box below to view the approved courses.
Courses in "STAT-Statistics and Probability"
STAT - Statistics and Probability
STAT 100 Elementary Statistics and Probability (3)
Prerequisite: MATH112, MATH110, MATH113, or MATH115; or permission of
CMNS-Mathematics department. Restriction: Must not have completed
MATH111; or Must not have completed any MATH or STAT course with a
prerequisite of MATH141. Credit only granted for: STAT100 or MATH111.
Simplest tests of statistical hypotheses; applications to
before-and-after and matched pair studies. Events, probability,
combinations, independence. Binomial probabilities, confidence limits.
Random variables, expected values, median, variance. Tests based on
ranks. Law of large numbers, normal approximation. Estimates of mean and
variance.
STAT 386 Experiential Learning (3-6)
Prerequisite: Must have Learning Proposal approved by the Office of
Experiential Learning Programs, faculty sponsor, and student's
internship sponsor. Restriction: Junior standing or higher.
STAT 400 Applied Probability and Statistics I (3)
Prerequisite: Minimum grade of C- in MATH131; or MATH141; or students
who have taken courses with similar or comparable course content may
contact the department. Credit only granted for: BMGT231, ENEE324, or
STAT400. Additional information: Not acceptable toward graduate degrees
in MATH/STAT/AMSC.
Random variables, standard distributions, moments, law of large numbers
and central limit theorem. Sampling methods, estimation of parameters,
testing of hypotheses.
STAT 401 Applied Probability and Statistics II (3)
Prerequisite: STAT400. Additional information: Not acceptable toward
graduate degrees in MATH/STAT/AMSC.
Point estimation - unbiased and consistent estimators. Interval
estimation. Minimum variance and maximum likelihood estimators. Testing
of hypotheses. Regression, correlation and analysis of variance.
Sampling distributions. Elements of non-parametric methods.
STAT 410 Introduction to Probability Theory (3)
Prerequisite: MATH240 and MATH241. Also offered as: SURV410. Credit only
granted for: STAT410 or SURV410.
Probability and its properties. Random variables and distribution
functions in one and several dimensions. Moments. Characteristic
functions. Limit theorems.
STAT 420 Introduction to Statistics (3)
Prerequisite: SURV410 or STAT410. Also offered as: SURV420. Credit only
granted for: STAT420 or SURV420.
Point estimation, sufficiency, completeness, Cramer-Rao inequality,
maximum likelihood. Confidence intervals for parameters of normal
distribution. Hypothesis testing, most powerful tests, likelihood ratio
tests. Chi-square tests, analysis of variance, regression,
correlation. Nonparametric methods.
STAT 430 Introduction to Statistical Computing with SAS (3)
Prerequisite: STAT400; or permission of instructor.
Descriptive and inferential statistics. SAS software: numerical and
graphical data summaries; merging, sorting and splitting data sets.
Least squares, regression, graphics and informal diagnostics,
interpreting results. Categorical data, lifetime data, time series.
Applications to engineering, life science, business and social science.
STAT 440 Sampling Theory (3)
Prerequisite: STAT401 or STAT420. Also offered as: SURV440. Credit only
granted for: STAT440 or SURV440.
Simple random sampling. Sampling for proportions. Estimation of sample
size. Sampling with varying probabilities. Sampling: stratified,
systematic, cluster, double, sequential, incomplete.
STAT 464 Introduction to Biostatistics (3)
Prerequisite: Must have completed one semester of calculus. Restriction:
Junior standing or higher. Additional information: Not acceptable toward
degrees in MATH/STAT.
Probabilistic models. Sampling. Some applications of probability in
genetics. Experimental designs. Estimation of effects of treatments.
Comparative experiments. Fisher-Irwin test. Wilcoxon tests for paired
comparisons.
STAT 470 Actuarial Mathematics (3)
Prerequisite: MATH240 and MATH241. Recommended: STAT400.
Major mathematical ideas involved in calculation of life insurance
premiums, including compound interest and present valuation of future
income streams; probability distribution and expected values derived
from life tables; the interpolation of probability distributions from
values estimated at one-year multiples; the 'Law of Large Numbers'
describing the regular probabilistic behavior of large populations of
independent individuals; and the detailed calculation of expected
present values arising in insurance problems.
STAT 498 Selected Topics in Statistics (1-6)
Restriction: Permission of CMNS-Mathematics department. Repeatable to 16
credits.
Topics of special interest to advanced undergraduate students will be
offered occasionally under the general guidance of the MATH/STAT major
committee. Students register for reading in statistics under this
number.
Return to top
