Science Course Descriptions
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133 Introduction to Computers. [COSC 1300] 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. This course may be taken as a
classroom based course or as an Independent Study/Internet course.
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.
May not be taken for credit toward a CS major or minor. This course
may be taken as a classroom based course or as an Independent Study/Internet
course. Credit 3.
143 Introduction to Computing for the Social Sciences.
[COSC 1401] 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. May not be taken for credit toward a CS
major. Credit 4. *Subject to action by the Board of Regents, The
Texas State University System, and the Texas Higher Education Coordinating
146** 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. This course
includes a 2-hour lab-based component. Prerequisites: eligibility
for MTH 199, MTH 170, or MTH 142, basic keyboarding and PC skills.
147** Programming Algorithms and Data Structures. This
course is a continuation of CS 146 and emphasizes the relationships
between the data objects in computer programs. Re-usability is stressed
through the use of generic data abstractions such as the C++ Standard
Template Library. This course includes a 2-hour lab-based component.
Prerequisites: CS 146, MTH 199 or 170 or 142. Credit 4.
160 Visual Programming. This course is an introduction
to programming using the visual paradigm, aimed at students with
little or no background in programming. The core notions of problem
solving through programming are introduced, following an object-oriented
approach to visual programming.
234 Networks I. Installation, usage, and management of
computer hardware ad operating systems for business. Topics include
scripting, macros, intelligent agents. Installation and management
of networks, the Internet, and communications software is covered.
Prerequisite: CS 146. Credit 3.
272 Computer Organization I. 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 146, CS 147 (may be taken concurrently).
278 Special Topics/Programming. In-depth study of a programming
language used to implement information systems. Real time components,
visual techniques, and artificial intelligence will be utilized
as appropriate. This course may be repeated for credit with the
approval of the undergraduate advisor. A different language must
be covered to receive approval for repeat credit. Prerequisite:
CS 147. Credit 3.
333 Computer Organization II. This course is a continuation
of Computer 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
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 distributed systems based systems are used
to give the student hands-on experience in systems development.
Writing Enhanced. Prerequisite: CS 147. Credit 3.
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 278(COBOL). Credit 3.
362 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. Prerequisites: CS 147, MTH 299
or MTH 143. Credit 3.
373 Human-Computer Interaction. This course presents a
comprehensive introduction to the principles and techniques of human-computer
interaction. The course examines the event-driven model through
the development of applications utilizing graphical design environments
and the use of rapid application prototyping to explore a variety
of techniques for HCI, particularly in relation to mobile and other
non-traditional devices. Prerequisites: CS 147 or CS 165 or CS 160.
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
147 and MTH 143 or consent of instructor. Credit 3.
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.
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.
Prerequisites: CS 272 and CS 362. Credit 3.
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 multi-accessing, multiprogramming, and multiprocessing are emphasized.
Prerequisites: CS 333 and CS 362. Credit 3.
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. Writing Enhanced. Prerequisite:
3 hours of advanced CS and CS 334. Credit 3.
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.
463 Networks II. 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. Writing Enhanced. Prerequisite:
6 advanced hours of CS. Credit 3.
470 Special Topics in Computer Science. Topics of general
interest are offered on a timely basis. Previous topics include
Cognitive Computing, Embedded Linux Systems, Visual Graphics/Component
Systems. Prerequisites: For all CS 470 topics — 6 hrs. advanced
CS. Credit 1-3.
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: 6 advanced hours CS and MTH 379.
482 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: CS 147. Credit 3.
*Subject to action by
the Board of Regents, The Texas State University System, and the
Texas Higher Education Coordinating Board.
**Change in course number is subject to action
by the Board of Regents, The Texas State University System, and
the Texas Higher Education Coordinating Board.
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