PROGRAM COORDINATOR: DAVID S. BURRIS
FACULTY: Cagan, Johnny Carroll, Crouch, Hartness, Ji, Lu,McCoy
The Computing Science program offers major study plans for students wishing to pursue careers as a programmer/analyst or to prepare for advanced studies at the graduate level. In addition, minor study plans are offered which can be tailored to the needs of students majoring in almost any field. A plan leading to secondary teacher certification in Computer Science is also offered.
Sam Houston State University provides a comprehensive computing environment for students. The Computer Services Department operates several laboratories containing terminals, desktop computers, and work stations. A variety of operating systems, network protocols, programming languages and application packages are available. Students have full access to the Internet and E-mail facilities when on campus and through dial-up facilities from off-campus.
The department also operates a laboratory equipped with a small self-contained LAN server and Novell networks for network training and a multi-node transputer parallel processor.
Computing Science students are invited and encouraged to join the Sam Houston Association of Computer Scientists. The Club sponsors field trips, campus visits by guest speakers and occaisional student/faculty outings.
The Computing Science major requires a total of 39 hours of Computing Science course work disrtibuted as described below, ACC 231, MGT 380, MTH 379 and 3 additional hours of mathematics or Statistics. All general degree requirements including a minor in a non-Computing Science area must also be met.
The 39 hours of course work for the Computing Science major should be distributed as follows (Note: CS 133 and CS 138 cannot be used to meet this requirement):
Electives: Minimum 15 advanced hours 21 hrs.
At least one course from each of the following groups:
First Year | Credit | Second Year | Credit |
CS 164, 165 | 6 | CS 272, CS 3 hrs elective | 6 |
MTH 199, 299 or MTH 172, 173 | 6 | BIO, CHM, PHY or GEL (one field) | 8 |
ENG 164, 165 | 6 | ENG 265, 275, or 295 | 3 |
HIS 163, 164 | 6 | ENG (200 level or higher) or SCM | 3 |
ACC 231 | 3 | POL 261, POL elective | 6 |
ART, DNC, MUS, THR | 3 | Minor or electives | 6 |
KIN 215 , 1 hr KIN activity | 2 | 32 | |
32 |
Third Year | Credit | Fourth Year | Credit |
CS 364 | 3 | CS 431, 437 | 6 |
CS advanced elective | 9 | CS advanced electives | 9 |
MTH 379 | 3 | MGT 380 | 3 |
MTH/STA adv. elective | 3 | Minor or electives | 15 |
BIO, CHM, PHY or GEL (one field) | 8 | 33 | |
Criterion VI electives | 6 | ||
32 |
Students with extensive high school programming experience may elect to begin a major or minor program with CS 165 or CS 272. Students who have taken the advanced placement computer science examination may be eligible for credit for CS 164 and CS 165.
CS Minor with Information Systems Emphasis
COMPUTING SCIENCE COURSE DESCRIPTIONS
CS 133 INTRODUCTION TO COMPUTERS. This is a computer literacy course.
Basic computing concepts are presented. Assignments provide a hands-on
experience in using microcomputer applications. Multimedia and the Internet are
introduced. May not be taken for credit toward a CS major or minor. Credit 3.
CS 138 MULTIMEDIA AND NETWORK COMPUTING. This is an introduction to the
computing technology underlying multimedia and network computing. The emphasis
is on the use of this technology to improve communications. CD-Roms, audio and
video capture, electronic mail, groupware and other hardware and software
resources are used to prepare documents and visual aids and to make interactive
presentations. Students enrolled in this course should be seeking a teaching
certificate. Credit 3.
CS 143 INTRODUCTION TO COMPUTING FOR THE SOCIAL SCIENCES. This course
develops the student's skills in the effective use of computing technology in
the Social Sciences. Topics covered in depth include Windows, word processing,
spreadsheets, database, integrated applications, local networking, the Internet
and multimedia documents. Credit 4.
CS 162 INTRODUCTORY PROGRAMMING FOR ENGINEERS AND
SCIENTISTS. This is a
first course in programming using the FORTRAN programming language. Topics
covered include terminal and file I/O, data types, arrays, selection
statements, loops, sub-programs, parameter passing and string processing. The
emphasis is on programs to solve computational problems. Prerequisite:
MTH 170 or consent of instructor. Credit 3.
CS 164 INTRODUCTION TO ALGORITHMS AND
PROGRAMMING. This course is an
introduction to programming. A software engineering approach to developing
computer programs is stressed and object-oriented concepts are introduced. The
development of procedures and the writing and testing of programs to implement
them is emphasized. Prerequisite: Basic key-boarding and PC skills. Credit 3.
CS 165 PROGRAMMING ALGORITHMS AND DATA
STRUCTURES. This course is a
continuation of CS 164 and emphasizes the relationships between the data
objects in computer programs. The relationships and methods for manipulating
objects are more complex than those covered in CS 164. Re-usability is stressd
through the use of generic data abstractions such as the C++ Standard Template
Library. Prerequisite: CS 164 or consent of the
instructor. Credit
3.
CS 234 INTRODUCTION TO BUSINESS
INFORMATION SYSTEMS DESIGN AND
MANAGEMENT. This is a course in the development of computer-based
information systems for businesses. Macros, scripting, intelligent agents, and
drag and drop programming are used to integrate graphical user interfaces and
multimedia with common computer applications and networks to create individual,
distributed and workgroup based system. Prerequisite: CS
143 or
proficiency in DOS, Windows and basic networking skills. Credit 3.
CS 272 DIGITAL COMPUTER PROGRAMMING. This course
examines the functional
components of computer systems. Topics discussed include processors, memory
types and hierarchies, buses, I/O, interrupts, etc. with emphasis on how they
affect program execution, parameter passing and inter-program communications
between programs written in diverse languages. Prerequisite:CS 165. Credit 3.
CS 278 INFORMATION SYSTEMS PROGRAMMING. This is an in-depth study of
file-based information systems and languages used to implement them.
Stand-alone, centralized and distributed systems are studied. COBOL is used
extensively. Prerequisite: CS 164 or
234. Credit 3.
CS 333 DIGITAL COMPUTER STRUCTURE. This course
is a continuation of
Computing Science 272. It is a study of computer systems organization and
systems programming. Uni- and multi-processor, SMP, parallel and distributed
systems are studied. Prerequisite: CS 272. Credit 3.
*CS 334 DATA BASE MANAGEMENT SYSTEMS. This course
emphasizes the design
of information systems using database software and query language/programming
interfaces. Data warehouse concepts are introduced. Legacy systems, LAN and
distibuted systems based systems are used to give the student hands-on
experience in systems development. (Formerly CS 436.) Prerequisite: CS 234 or consent of instructor. Credit 3.
CS 336 INFORMATION SYSTEMS DESIGN AND MANAGEMENT. This is a course in
the design and implementation of large-scale file and persistent object-based
information systems. Client/server systems are covered. Prerequisite: CS 334 or consent of instructor. Credit 3.
CS 364 PROGRAMMING LANGUAGES. This course emphasizes programming
languages which support the Object-Oriented Programming (OOP) paradigm.
Programming assignments are used to illustrate the features and weaknesses of
the language and to develop the student's proficiency in the use of OOP
technology. Prerequisite: Proficiency in at least one language which supports
OOP. Credit 3.
CS 394 NUMERICAL METHODS. This course develops the concepts underlying
the use of the computer for interpolation, approximations, solutions of
equations and the solution of both linear and nonlinear systems equations.
Mathematical software and/or user written programs are utilized. Also offered
as Mathematics 394. Prerequisites: CS 162 and MTH 274 or consent of instructor. Credit 3.
CS 396 SWITCHING THEORY. This course is an introduction to Boolean
Algebra and graph theory with emphasis on their applications in the design of
digital computer software and hardware. Logic systems are designed and
analyzed. Prerequisite: CS 272 . Credit 3.
CS 430 LANGUAGE TRANSLATORS. This course deals with the design and
implementation of assemblers, interpreters and compilers. Topics include symbol
tables, lexical scanning, syntactic analysis, object code generation and
storage allocation. Programming assignments will involve implementation of
functional components of a translator. Prerequisite: CS
474. Credit 3.
CS 431 COMPUTER OPERATING SYSTEMS. This course is concerned with
software organization of computer systems. It is intended to bring together the
concepts and techniques of programming languages, data structures and computer
organization by considering their role in the design of general computer
systems. The problems which arise in multiaccessing, multiprogramming, and
multiprocessing are emphasized. Prerequisites: CS
333 or consent of instructor. Credit 3.
CS 437 SOFTWARE ENGINEERING. This course is an introduction to formal
methods of specifying, designing, implementing and testing software for large
programming projects. Methods of estimating and predicting reliability are
discussed. Prerequisite: 6 hours of advanced CS. Credit 3.
CS 438 COMPUTER GRAPHICS. This course introduces graphical API's used in
developing graphical user interfaces and multimedia applications. Topics
covered are selected from the PHIGS, Windows, Presentation Manager, X Windows,
digital video and other appropriate technologies. Prerequisite: 6 advanced
hours of CS. Credit 3.
CS 463 NETWORKING. This course covers the architecture and protocols of
local and wide area networks. Peer to peer and client/server configurations
based upon DOS, OS/2 and Unix servers and clients are covered. Assignments
involve the set-up, configuration and monitoring of Novell and Lan Server
networks. Prerequisite: 6 advanced hours of CS. Credit 3.
CS 470 SPECIAL TOPICS IN COMPUTER SCIENCE. Topics of general interest
are offered on a timely basis. One such topic that will be offered is:
Cognitive Computing. This will be a course in constructing intelligent
systems. Inference and neural engines will be used to create knowledge-based
and adaptive learning applications. Fuzzy logic, genetic algorithms, DNA, and
neural networks will be covered.
Prerquisites: For all CS 470 topics -- CS 165 and 6
hrs. advanced CS or consent of instructor. Credit 1-3.
CS 474 DATA STRUCTURES. Introductory
treatments of such topics as
orthogonal lists, strings, arrays, linked lists, multilinked structures,
indexed and direct files, and generalized data management and database
management systems. Prerequisite: CS 272. Credit 3.
CS 477 SIMULATION. This is an introduction to simulation methodology
applicable to all disciplines. It covers the design of simulation experiments,
validation of models and their computer implementation. The use of a
generalized simulation language is introduced and applied in class projects.
Prerequisites: CS 162 or 165, 6
advanced hours CS and MTH 379, or consent of the
instructor. Credit 3.
*Subject to action by the Board of Regents, The Texas State University System,
and the Texas Higher Education Coordinating Board.
FACULTY: Carpenter, Coleman, Davis, Foley, Goad, Hallum, Hart, Hebert, Kirk,
Klespis, Konen, Luning, Mattingly, O'Brien, Ruch, So, Sanders, R. Stoltenberg,
Swarthout, Van Fleet
Curriculum outlines below are typical, although modifications may be made to
meet individual student needs. In particular, while study plans usually begin
with MTH 172, other courses such as MTH 163 or 170 may sometimes be more
suitable. Moreover, students who have completed extensive high school
mathematics may be eligible for advanced placement.
BACHELOR OF ARTS
First Year | Credit | Second Year | Credit |
MTH 172, 173 | 6 | MTH 274, 375 | 6 |
ENG 164, 165 | 6 | ENG 265, 275, or 295 | 3 |
BIO, CHM, GEL/GEO 141, or PHY (from two different departments) | 8 | ENG (200 level or higher) or SCM | 3 |
POL 261, POL elective | 6 | ||
HIS 163, 164 | 6 | FL (one field) | 8-10 |
ART, DNC, MUS, or THR | 3 | PHL elective | 3 |
KIN 215 or accepted substitute | 1 | Elective | 3 |
KIN activity or accepted substitute | 1-3 | 32-34 | |
Elective | 3 | ||
34-36 |
Third and Fourth Years | Credit |
MTH 364, 377, 461, 471, 477, 6 hrs. advanced MTH | 21 |
Minor | 18 |
ART, DNC, MUS, THR, or PHL 366 | 3 |
Criterion VI electives | 9 |
FL (one field) | 6 |
Electives | 5 |
62 |
First Year | Credit | Second Year | Credit |
MTH 172, 173 | 6 | MTH 274, 375 | 6 |
ENG 164, 165 | 6 | ENG 265, 275, or 295 | 3 |
BIO, CHM, GEL, or PHY (one field)* | 8 | ENG (200 level or higher) or SCM | 3 |
HIS 163, 164 | 6 | BIO, CHM, GEL, or PHY (one field)* | 8 |
ART, DNC, MUS, or THR | 3 | POL 261, POL elective | 6 |
KIN 215 or accepted substitute | 1 | CS 164 | 3 |
KIN activity or accepted substitute | 1-3 | Elective | 3 |
Elective | 3 | 32 | |
34-36 |
Third and Fourth Years | Credit |
MTH 364, 376, 377, 461, 466, 471, 477, 6 hrs. advanced MTH | 27 |
Minor | 18 |
Criterion VI electives | 9 |
Electives | 7 |
61 |
Curricula: Minor in Mathematics
Minors in mathematics must include MTH 172, 173, 274 and 9 semester hours of advanced mathematics. Prerequisites should be carefully noted.
A student's major program of study may also impose requirements on a minor in mathematics. Thus, the selection of courses for a mathematics minor should be made with the counsel of both the major advisor and a mathematics advisor.
TEACHING SPECIALTIES FOR TEACHING
CERTIFICATES IN MATHEMATICS
For Elementary/Middle School Level Certificates
Plans must include MTH 184, 185, 186, 284, 285, 383, 384, 385 and 386 or approved substitutes. This program is accepted as a minor in mathematics.
For Secondary Level Certificates
Plans must include MTH 172, 173, 363, 364, 377, 379, 467 or 471, 484, 485 and CS 164 or approved substitutes. MTH 274 is recommended to complete a minor in mathematics.
MATHEMATICS REQUIREMENT FOR THE BACCALAUREATE CORE
The appropriate course to satisfy the standard for the first course in mathematics as described in Criterion II of the Baccalaureate Core is usually MTH 164. Other acceptable courses include MTH 163, 170, 172, and 199. MTH 166 does not meet this standard, but it may be elected for the second course described in Criterion II.
Mathematics 031D, 032D, 184, 185 and 186 may not be applied to meet either course requirement described in Criterion II. However, students obtaining elementary teacher certification may satisfy the first core curriculum course requirement in Criterion II by completing both MTH 184 and MTH 185.
MATHEMATICS COURSE DESCRIPTIONS
MTH 031D DEVELOPMENTAL MATHEMATICS I. This course deals with fundamental
operations involving whole numbers, fractions, decimals and percents, ratio and
proportion, interpretation of graphs, geometry, and introductory algebra
including axioms and properties of the real number system, fundamental
operations involving algebraic expressions, first degree equations and
inequalities in one unknown. Credit in this course may not be applied toward
graduation, computation of grade point averages or classification of students
by hours completed.
MTH 032D DEVELOPMENTAL MATHEMATICS II. This course covers products and
factoring of polynomials, algebraic fractions, exponents and radicals,
quadratic equations, functions and graphs, applications and systems of
equations. Credit in this course may not be applied toward graduation,
computation of grade point averages or classification of students by hours
completed.
MTH 163 PLANE TRIGONOMETRY. [MATH 1316] Topics
include coordinate
systems, circular functions, solutions of triangles, identities, trigonometric
equations, and inverse functions. Prerequisites: Two years of high school
algebra and high school geometry. Credit 3.
MTH 164 COLLEGE MATHEMATICS. [MATH 1332] This course is designed to meet
the objectives of Criterion II for non-business and non-science related majors.
Topics may include sets, counting principles, probability, logic, linear
algebra, linear programming, and mathematics of finance. Applications are
emphasized. Prerequisites: Two years of high school algebra and high school
geometry. Credit 3.
MTH 166 ELEMENTARY MATHEMATICS OF FINANCE. [MATH 1321] Mathematical
principles and techniques are applied to problems which arise in finance.
Topics include simple interest, compound interest, installment buying,
annuities, and perpetuities. Prerequisites: Two years of high school algebra,
high school geometry. Credit 3.
*MTH 170 PRE CALCULUS ALGEBRA. [MATH 2312]
Topics include a brief review
of introductory algebra, variation, elementary theory of equations, functions
(including exponential and logarithmic), inequalities, systems of equations,
and other related topics. Prerequisites: Two years of high school algebra and
high school geometry. (Formerly MTH 162.) Credit 3.
MTH 172:173:274:375 This sequence of courses is a unified introduction
to the fundamental concepts, skills, and applications of calculus and analytic
geometry.
MTH 172 CALCULUS I. [MATH 2313] Topics include
analytic geometry of the
straight line, limits and continuity, the derivative, techniques for
differentiation of algebraic and trigonometric functions, applications of the
derivative, and anti-differentiation. Prerequisite: MTH
163 or high school equivalent. Credit 3.
MTH 173 CALCULUS II. [MATH 2314] Topics include
the definite integral
and its applications, the derivative and antiderivatives of logarithmic,
exponential and trigonometric functions, and techniques of integration.
Prerequisite: MTH 172. Credit 3.
MTH 184:185:186 INTRODUCTION TO THE FOUNDATIONS OF MATHEMATICS I, II &
III These courses satisfy certification requirements for elementary
education. Credit in these courses is applicable only toward elementary teacher
certification.
MTH 184 INTRODUCTION TO THE FOUNDATIONS OF MATHEMATICS I. [MATH 1335]
Topics include a study of sets, systems of numeration, natural numbers,
integers, number theory and rational numbers. Prerequisites: Two years of high
school algebra and high school geometry. Credit 3.
MTH 185 INTRODUCTION TO THE FOUNDATIONS OF MATHEMATICS II. [MATH 1336]
Topics include ratio and proportion, percent, real numbers, geometry,
measurement, and probability and statistics. Prerequisite: MTH 184 with a grade of C or better. Credit 3.
*MTH 186 INTRODUCTION TO THE FOUNDATIONS OF MATHEMATICS III. Topics
include basic notions of Euclidian Geometry in 2 and 3 dimensions, concepts of
congruence and similarity, transformational geometry and measurement.
Prerequisites: MTH 184 with a "C" or better. Credit
3.
MTH 199:299 This sequence of courses consists of a study of special
concepts and techniques of mathematics which are of particular importance in
the fields of business and economics.
MTH 199 MATHEMATICS FOR MANAGERIAL DECISION MAKING I. [MATH 1324] Topics
include a review of introductory algebra, equations, relations, functions,
graphs, linear programming, systems of equations and matrices, and mathematics
of finance. Prerequisites: Two years of high school algebra and high school
geometry. Credit 3.
MTH 274 CALCULUS III. [MATH 2315] This course
includes an introduction
to indeterminate forms, improper integrals, Taylor's formula, infinite series,
conic sections and other plane curves, polar coordinates, vectors, and solid
analytic geometry. Prerequisite: MTH 173. Credit 3.
MTH 284 FUNCTIONS AND GRAPHS. The emphasis of
this course is on
functions and their graphs. Topics include linear, polynomial, logarithmic, and
exponential functions. Prerequisite: MTH 185 with grade of C or better. This
course may be applied only toward elementary school teacher certification.
Credit 3.
MTH 285 FUNDAMENTALS OF CALCULUS. This course
provides an introduction
to the concepts and applications of calculus. This course may be applied only
toward elementary school teacher certification. Prerequisite: MTH 284. Credit 3.
MTH 299 MATHEMATICS FOR MANAGERIAL DECISION MAKING II. [MATH 1325]
Topics include differential and integral calculus with applications in business
and economics. Prerequisite: MTH 170 or 199. Credit 3.
MTH 363 EUCLIDEAN GEOMETRY. This course consists of a modern development
of Euclidean geometry and a limited introduction to non-Euclidean geometry.
Prerequisite: MTH 173. Normally offered in the Fall
Semester and in Summer Session II. Credit 3.
MTH 364 INTRODUCTION TO MATHEMATICAL THOUGHT. This
course
includes an introduction to sets, logic, the axiomatic method and proof.
Prerequisite: MTH
173. Normally offered in the Spring Semester and Summer Session I.
Credit 3.
MTH 375 CALCULUS IV. This course includes the
study of the calculus of
functions of several variables and topics in vector calculus including line and
surface integrals, Green's Theorem, Divergence Theorem, and Stoke's Theorem.
Prerequisite: MTH 274. Credit 3.
MTH 376 DIFFERENTIAL EQUATIONS. This course, in
conjunction with MTH
476, is intended to develop a basic competence in areas of mathematics that are
used in solving problems from the physical sciences. This first course
emphasizes the general solution of ordinary differential equations, including
the Laplace transform and infinite series methods. Prerequisite: MTH 375 or
consent of the instructor. Normally offered in the Fall Semester. Credit 3.
MTH 377 INTRODUCTION TO LINEAR ALGEBRA AND MATRICES. Topics include
systems of linear equations, vector spaces, matrix operations, and linear
transformations and their matrices. Prerequisite: MTH
173. Normally
offered in the Spring Semester and in Summer Session II. Credit 3.
MTH 379 STATISTICAL METHODS IN PRACTICE. Topics
include organization and
presentation of data, measures of central tendency, dispersion, and position,
probability distributions for discrete and continuous random variables,
sampling techniques, parameter estimation, and hypothesis testing. Emphasis
will be given to the use of the MINITAB statistics package. Also offered as STA
379. Prerequisites: 3 semester hours of mathematics and consent of instructor.
Credit 3.
MTH 383 GEOMETRIC MEASURE AND TRANSFORMATIONS. Topics included in this
course are measurement in one, two, and three dimensions, the metric system,
transformation geometry, congruencies, similarities, geometric constructions,
and coordinate systems. This course may be applied only toward elementary
school teacher certification. Prerequisite: MTH 285.
Normally offered in the
Spring Semester and either in the Fall Semester or in the Summer. Credit 3.
MTH 384 FOUNDATIONS OF MATHEMATICS. This course includes the study of
the development of the real number system, algebraic concepts and structures,
elementary number theory, and an introduction to logic. It may be applied only
toward elementary school teacher certification. Prerequisite: MTH 285. Normally
offered in the Fall Semester and in Summer Session I. Credit 3.
MTH 385 USING TECHNOLOGY IN MATHEMATICS. The basic fundamental model of
a computer is introduced and used as a basis for explaining the terminology
associated with using computer systems. Binary and machine representation of
information are discussed and elementary programming concepts are introduced.
Software applicable to teaching elementary school mathematics is examined.
Various microcomputers are used to provide hands-on experience. This course may
be applied only toward elementary school certification. Prerequisites:
MTH 285. Credit 3.
MTH 386 FUNDAMENTALS OF PROBABILITY AND STATISTICS. This course provides
an introduction to probability and descriptive statistics, including the
construction and interpretation of tables, graphs, and charts. Calculator
techniques related to the above topics will be incorporated into the course.
This course may be applied only toward elementary school teacher certification.
Prerequisite: MTH 265. Normally offered in the Spring
Semester and either in the Fall Semester or in the Summer. Credit 3.
MTH 387 FOUNDATIONS OF MIDDLE SCHOOL MATHEMATICS. Topics and projects in
mathematics appropriate for the middle or junior high school mathematics
specialist designed to meet individual student needs and interests. The course
may be applied only toward elementary or secondary certification. Prerequisite:
6 hrs. advanced mathematics. Credit 3.
MTH 394 NUMERICAL METHODS. Topics include interpolation, approximations,
solutions of equations, and the solution of both linear and nonlinear systems
of equations. Also offered as CS 394. Prerequisites: CS
164 and MTH 274 or
consent of the instructor. Normally offered in the Spring Semester only. Credit
3.
MTH 396 OPERATIONS RESEARCH I. Techniques for the application of the
scientific method to decision making in business and government are presented
through the formulation and interpretation of mathematical models for various
specific real life problems. Prerequisite: MTH 299 or
173. Credit 3.
MTH 461 INTRODUCTORY ANALYSIS. This course
consists of a more thorough
treatment of the material traditionally considered in elementary calculus.
Topics include sets, functions, properties of the real number system and
sequences. Prerequisite: MTH 364 or consent of the
instructor. Normally offered in the Fall Semester only. Credit 3.
MTH 466 ELEMENTARY ANALYSIS. Topics include limits, continuity,
differentiation, Riemann integration, infinite series and sequences and series
of functions. Prerequisite: MTH 461 or consent of
instructor. Normally offered in the Spring Semester only. Credit 3.
MTH 467 THE EVOLUTION OF MATHEMATICS. An introduction to the historical
development of fundamental mathematical ideas from antiquity to the present.
Prerequisite: consent of instructor. Normally offered in Spring and Summer
Session II. Credit 3.
MTH 470 SPECIAL TOPICS IN MATHEMATICS. Normally, this course consists of
readings and individual research appropriate for the undergraduate level with
subject matter for study selected by mutual agreement of student and
supervisor. However, special classes may be organized when there is sufficient
student interest in a particular project. Prerequisites: 6 semester hours of
advanced Mathematics. This course may be taken for Academic Distinction credit.
See Academic Distinction Program in this catalogue. Credit 3.
MTH 471 THEORY AND APPLICATIONS OF PROBABILITY AND STATISTICS I. Topics
include basic concepts and properties of probabilities, random variables,
statistical distributions, measures of central tendency, variance, covariance,
correlation, functions of random variables, sampling distributions, and the
Central Limit Theorem. Also offered as STA 471. Prerequisite: MTH 173 (Calculus II). Credit 3.
MTH 476 TOPICS IN APPLIED MATHEMATICS I. This course, in conjunction
with MTH 376, is intended to develop a basic competence in areas of mathematics
that are used in solving problems from the physical sciences. Topics will be
selected from partial differential equations, multivariable and vector
calculus, and complex analysis. Prerequisite: MTH
376 or consent of the
instructor. Normally offered in the Spring Semester only. Credit 3.
MTH 477 ALGEBRAIC STRUCTURES. Topics include groups, rings, fields,
finite groups and abelian groups. Prerequisite: MTH
364 or consent of the
instructor. Normally offered in the Fall Semester only. Credit 3.
MTH 484 A SURVEY OF MATHEMATICAL IDEAS. This course is designed to bring
together and supplement the technical material of other mathematics courses in
the mathematics teacher-education program and relate it to the mathematics
curriculum of the secondary school. This course may be applied only toward
teacher certification. Prerequisite: Consent of instructor. Normally offered in
the Fall Semester only. Credit 3.
MTH 485 MATHEMATICAL PROBLEM SOLVING. This is an introduction to
elementary techniques for obtaining numerical solutions to mathematical
problems. Topics will include problems from number theory, consumer
mathematics, geometry, algebra and probability and statistics. This course may
be applied only toward teacher certification. Prerequisite: Advanced standing
in mathematics. Normally offered in the Spring Semester only. Credit 3.
*Subject to action by the Board of Regents, The Texas State University System,
and the Texas Higher Education Coordinating Board.
Requirements are adjusted to accommodate program emphases.
Emphasis on Statistical Theory
A concentration of twelve semester hours is appropriate for students who need
an understanding of statistics to augment study in another field but who do not
require a minor in statistics. A typical concentration might consist of STA 379
and 380 with two additional courses selected from STA 381, 470, 471, 472, and
473.
STATISTICS COURSE DESCRIPTIONS
STA 169 ELEMENTARY STATISTICS. [MATH 1342] This is a survey course in
elementary statistics designed to acquaint students with the role of statistics
in society. Coverage includes graphical descriptive methods, measures of
central tendency and variation, the basic concepts of statistical inference,
the notion of estimators, confidence intervals, and tests of hypotheses.
Prerequisite: Two years of high school algebra. Credit 3.
STA 379 STATISTICAL METHODS IN PRACTICE. Topics
include organization and
presentation of data; measures of central tendency, dispersion, and position;
probability distributions for discrete and continuous random variables,
sampling techniques, parameter estimation, and hypothesis testing. Emphasis
will be given to the use of the MINITAB statistics package. Also offered as MTH
379. Prerequisites: Three semester hours of mathematics and consent of
instructor. Credit 3.
STA 380 STATISTICAL DESIGN AND ANALYSIS OF EXPERIMENTS. Topics include
sampling designs and hypothesis testing in analysis of variance, analysis of
covariance, and regression analysis. Design characteristics, model diagnostics,
and hypothesis testing will be emphasized and work will be required on real
data. The MINITAB and SAS statistics packages will be applied. Prerequisite:
STA 379 or equivalent. Credit 3.
STA 381 SAMPLE SURVEY METHODS. The course treats principles needed in
planning and conducting sample surveys. Topics include random, stratified,
systematic, and cluster sampling methods as well as subsampling techniques.
Prerequisite: STA 379 or equivalent. Credit 3.
STA 470 SPECIAL TOPICS IN STATISTICS. This course is designed to
accommodate independent study and research with content determined by mutual
agreement of student and supervisor. However, it may also be taught as a
special organized class when there is sufficient student interest in a
particular project. Such topics as statistical quality control, modeling and
analysis, time series analysis, Monte-Carlo techniques and bootstrapping may be
included. This course may be taken for Academic Distinction credit. (See
Academic Distinction Program in this catalogue.) May be repeated for credit.
Prerequisites: Six semester hours of advanced statistics and consent of
instructor. Credit 3.
STA 471 THEORY AND APPLICATIONS OF PROBABILITY AND
STATISTICS I. Topics
include basic concepts and properties of probabilities, random variables,
statistical distributions, measures of central tendency, variance, covariance,
correlation, functions of random variables, sampling distributions, and the
Central Limit Theorem. Also offered as MTH 471. Prerequisite: MTH 173 (Calculus II). Credit 3.
STA 472 THEORY AND APPLICATIONS OF PROBABILITY AND STATISTICS II. Topics
include multivariate, conditional and marginal distributions, point and
interval estimation, theory of estimation, maximum likelihood estimates,
hypothesis testing, likelihood ratio tests, contingency analysis, and
nonparametric statistics. Prerequisites: MTH 375 and
STA 471. Credit
3.
STA 473 NONPARAMETRIC STATISTICS. Topics include Chi-square
goodness-of-fit testing and inferences concerning location and scale. Specific
tests include the sign test, Wilcoxon signed-rank test, the Kruskal-Wallis
test, tests for randomness and trends, and contingency analyses. Prerequisites:
STA 379 and consent of instructor. Credit 3.
Return to the Arts and Sciences Undergraduate
Catalogue
Return to the Undergraduate Catalogue
STA 379, 380, 471, 472, and two courses elected from STA 381, 470, and
473.
Emphasis on Statistical MethodSTA 379, 380, 381, 470, 473, and one course elected from CS 477, MTH
394, and MTH 396.
� 1996 by
Sam Houston State University
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