ACADEMIC CATALOG - Purdue University Calumet

Course Descriptions
SRCT - Serbo-Croatian
SRCT 101 SERBO-CROATIAN LEVEL I
(Class 3, Lab. 1, Cr. 3)
This course stands as an elective for students in other University
departments. The course is a contribution to intellectual growth
and development as well as a service to the community.
SRCT 102 SERBO-CROATIAN LEVEL II
(Class 3, Lab. 1, Cr. 3)
Prerequisite: SRCT 101
This course stands as an elective for students in other University
departments. The course is a contribution to intellectual growth
and development as well as a service to the community.
STAT - Statistics
STAT 130 STATISTICS AND CONTEMPORARY LIFE
(Class 3, Cr. 3)
Introduction to statistical ideas and their impact on various
aspects of modern life. Topics will include the organization,
manipulation, and understanding of numerical data, the art of
data presentation, interpretation of statistical information as
presented in the media, the concept of randomness in gambling
and lotteries, and some discussion of statistical fallacies.
STAT 301 ELEMENTARY STATISTICAL METHODS I
(Class 3, Cr. 3)
Prerequisite: MA 147
A basic introductory statistics course with applications shown
to various fields and emphasis placed on assumptions, applicability,
and interpretations, or various statistical techniques.
Subject matter includes frequency distributions, descriptive
statistics, elementary probability, normal distribution applications,
sampling distribution, estimation, hypothesis testing
and linear regression.
STAT 315 INTRODUCTION TO
PROBABILITY AND STATISTICS
(Class 3, Cr. 3)
Probability theory with a short-introduction to statistics.
Not enough statistics to serve as a preparation for a
second course in statistics.
STAT 330 BIOSTATISTICS
(Class 3, Cr. 3)
Prerequisite: MA 153 and BIOL 101 and BIOL 102
or BIOL 108 and BIOL 109
This course will explore fundamental concepts of statistical
methods and their application in biological research. The following
topics will be included: experimental and sampling designs;
descriptive statistics; basic probability and probability distribution;
tests of hypothesis; one-way analysis of variance; linear
regression. Emphasis will be placed on the collection, organization,
analysis and interpretation of data from biological experiments
and observations. (Not open to students with credit in
BIOL 330.)
STAT 345 STATISTICS
(Class 3, Cr. 3)
Prerequisite: MA 164
Topics from exploratory data analysis and inferential statistics
will be covered, along with a necessary introduction to
probability. Statistical and probabilistic simulations will be
used to enhance students' understanding of randomness and
variation. Extensive use of a statistical computer package
will be required.
STAT 490 TOPICS IN STATISTICS FOR
UNDERGRADUATES
(Class 0 to 5, Cr. 1 to 5)
Supervised reading and reports in various fields. Open only
to students with the consent of the department.
STAT 501 EXPERIMENTAL STATISTICS I
(Class 3, Cr. 3)
Prerequisite: MA 153 or MA 151 or MA 159
Primarily intended for students who have not had calculus.
Not open to students in mathematics, statistics or computer
science. Credit should not be allowed in more than one STAT
301 501,or 511.) Fundamental concepts and methods of statistics
for students interested in the analysis of experimental
data. Subjects include descriptive statistics, basic probability
theory, normal distribution, tests of hypotheses and confidence
intervals for normal and Bernoulli populations,
contingency tables, tests of goodness-of-fit, linear
regression and nonparametric test.
STAT 502 EXPERIMENTAL STATISTICS II
(Class 3, Cr. 3)
Prerequisite: STAT 501
Continuation of STAT 501. Subject matter includes multiple
regression and analysis of variance, with emphasis on statistical
inference and applications to various fields.
STAT 511 STATISTICAL METHODS
(Class 3, Cr. 3)
Prerequisite: MA 261
Descriptive statistics; elementary probability; sampling
distributions; inference, testing hypotheses, and estimation;
normal, binomial, poison, hypergeometric distributions; one
way analysis of variance; contingency tables; regression.
STAT 512 APPLIED REGRESSION ANALYSIS
(Class 3, Cr. 3)
Prerequisite: STAT 511 or STAT 517
Inference in simple and multiple linear regression, residual
analysis, transformations, polynomial regression, model
building with real data, nonlinear regression. One-way and
two-way analysis of variance, multiple comparisons, fixed
and random factors, analysis of covariance. Use of existing
statistical computer programs.
STAT 513 STATISTICAL QUALITY CONTROL
(Class 3, Cr. 3)
Prerequisite: STAT 516 or STAT 511
A strong background in control charts including adaptations,
acceptance plans, sequential analysis, statistics of combinations,
moments and probability distributions, applications.
STAT 514 DESIGN OF EXPERIMENTS
(Class 3, Cr. 3)
Prerequisite: STAT 511 or STAT 512
Fundamentals, completely randomized design; randomized
complete blocks; latin square; multi-classification; nested
factorial; incomplete block and fractional replications for 2n
3n 2m x 3n; confounding; lattice designs; general minded
factorials; split plot; analysis of variance in regression models;
optimum design. Use of existing statistical programs.
STAT 516 BASIC PROBABILITY AND APPLICATIONS
(Class 3, Cr. 3)
Pre or Co-requisite: MA 164 or MA 224 and MA 172 and MA 261
A first course in probability intended to serve as a background
for statistics and other applications. Sample spaces
and axioms of probability, discrete and continuous random
variables, conditional probability and Bayes' theorem, joint
and conditional probability distributions, expectations,
moments and moment generating functions, law of large
numbers and central limit theorem. (The probability material
in Course 1 of the Society of Actuaries and the Casualty
Actuarial Society is covered in this course.)
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Course Descriptions