This is an archived copy of the 2015-2016 catalog. To access the most recent version of the catalog, please visit http://catalog.valdosta.edu.

CS 1000. Introduction to Microcomputers and Applications. 3 Hours.

Computing technology and concepts; applications of personal computers. Topics include hardware and software terminology, word processing, spreadsheets, e-mail, the Internet, the microcomputer’s operating system and its use, ethics, and current trends in the use of computers. A hands on laboratory is integrated with the course.

CS 1010. Algorithmic Problem Solving. 3 Hours.

An introduction to algorithm design and programming as components of the software life cycle, with emphasis on the development of algorithms for solving problems; introduction to the development environment for a particular programming language.

CS 1301. Principles of Programming I. 4 Hours.

Prerequisite: MATH 1101 or MATH 1111 or MATH 1112 or MATH 1113 or MATH 1261 or MATH 1262 or MATH 2261 or MATH 2262, with a grade of "C" or better. Programming-language syntax and semantics; problem solving; algorithm design and implementation using modern programming paradigms and techniques; data types and elementary data structures. This course involves extensive programming activities. Students without strong math and programming background are encouraged to take CS 1010 first.

CS 1302. Principles of Programming II. 4 Hours.

Prerequisite: CS 1301 with a grade of “C” or better. A continuation of CS 1301 with emphasis on advanced programming structures and techniques. Theory and applications of stacks, queues, and lists; recursion; file processing; introduction to binary trees. This course involves extensive programming activities.

CS 1340. Computing for Scientists. 3 Hours.

Prerequisite or corequisite: MATH 2261. Foundations of computing, with an introduction to design and analysis of algorithms, including design and construction of programs for scientific and engineering applications.

CS 2620. Discrete Structures. 3 Hours.

Prerequisite: MATH 1112, or MATH 1113 or MATH 1261 or MATH 2261, with a grade of C or better. Propositional and predicate logic mathematical induction, and recursion. Sets, relations, functions. Graphs and trees. Boolean algebra and computer logic. Finite state machines and computability.

CS 3000. Tutoring in Computer Science I. 2 Hours.

Prerequisite or corequisite: CS 3410 or consent of instructor. Graded “Satisfactory” or “Unsatisfactory.” Fundamentals of one-on-one tutoring in computer science. Review of the principles in programming, including programming language syntax and semantics; problem solving; algorithm design and implementation using current paradigms; data types and data structures; theory and applications of stacks, queues, lists, and binary trees; recursion; and file processing. Introduction to techniques and guidelines for tutoring. Designed for the Tutoring Center tutors in computer science.

CS 3001. Tutoring in Computer Science II. 1 Hour.

Prerequisite: CS 3000. Graded “Satisfactory” or “Unsatisfactory.” Advanced techniques for one-on-one tutoring in computer science. Review of discrete structures, computer organization, and advanced programming principles. Identification and discussion of effective methods for correcting common problems and misconceptions encountered by beginning and intermediate programming students. Discussion of techniques with less experienced tutors. Designed for the Tutoring Center tutors in computer science.

CS 3101. Computer Organization. 3 Hours.

Prerequisite: CS 1302 with a grade of “C” or better. An overview of computer organization and design including Boolean algebra, combinational and sequential circuits, data representation, register transfer and microoperations, CPU organization, microprogrammed control, and machine language programming.

CS 3102. Assembly Language. 3 Hours.

Prerequisite: CS 3101 with a grade of “C” or better. A continuation of CS 3101 with emphasis on machine and assembly language instruction and programming techniques, addressing modes, data representations, I/O, and the assembly process.

CS 3200. Computer Ethics. 3 Hours.

Prerequisite: CS 1301 with a "C" or better. Introduction to social and ethical impacts of computing, and an overview of the ethical issues created, transformed, and worsened by computing technology. Topics include professional code of ethics, cybercrime, privacy and security, rights of intellectual property, and globalization.

CS 3300. UNIX Programming. 3 Hours.

Prerequisite: CS 1302 with a grade of “C” or better. An introduction to UNIX and shell programming. Various shell languages, including ksh and bash are discussed, in addition to basic UNIX commands. Web scripting languages such as Perl, HTML, and XML are also introduced in the UNIX environment.

CS 3335. The C Programming Language. 3 Hours.

Prerequisite: CS 1302 with a grade of “C” or better. Programming using the C programming language. Syntax and semantics of C; information representation; stylistic consideration; the C library. This course also discusses issues relating to the UNIX operating system.

CS 3340. Web Programming. 3 Hours.

Prerequisite: CS 1302 with a grade of “C” or better. Examination and implementation of the foundations of web-based computing. Topics include Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), client-side scripting, server-side programming, state management, data access, Extensible Markup Language (XML), web services, and component-based development.

CS 3410. Data Structures. 3 Hours.

Prerequisite: CS 1302 and CS 2620 with a grade of C or better. Trees, graphs, and other forms of data structures and their implementations. Emphasizing abstract data types; static memory allocation vs. dynamic storage allocation; searching, hashing, and sorting methods; algorithm analysis.

CS 3520. Algorithms. 3 Hours.

Prerequisite: CS 3410 with a grade of “C” or better. Sequential and parallel algorithms for solving a variety of different problems; paradigms for algorithms; algorithm analysis; NP-complete problems.

CS 3700. Introduction to E-Commerce. 3 Hours.

Prerequisite: CS 1302 with a grade of “C” or better. An introduction to e-commerce trends, technologies, and strategies. Topics include the importance and impact of e-commerce, business-to-consumer, business-to-business, wireless networks, mobile commerce, online marketing, web services, supply chains, electronic payment, security, and legal issues.

CS 4121. Data Communications and Networks I. 3 Hours.

Prerequisites: CS 3101 and CS 3410, each with a grade of “C” or better. Basic concepts of data communications and computer networks architectures: including OSI and TCP/IP models, packet switching, local area and high speed networks. Error control, routing, and transmission media.

CS 4122. Data Communications and Networks II. 3 Hours.

Prerequisite: CS 4121 with a grade of “C” or better. A continuation of CS 4121 in which advanced topics in data communication and networking are studied.

CS 4321. Software Engineering I. 3 Hours.

Prerequisite: CS 3410 with a grade of “C” or better. Concepts and techniques used in all aspects of the software life-cycle relevant to the production of large object-oriented software systems. Students will work in teams on a project.

CS 4322. Software Engineering II. 3 Hours.

Prerequisite: CS 4321 with a grade of “C” or better. Advanced topics in software engineering, such as analysis, design, architecture, testing, and maintenance.

CS 4330. Theory of Programming Languages. 3 Hours.

Prerequisite: CS 3410 with a grade of C or better. Formal description of programming languages, standard and advanced features of modern programming languages, complexity.

CS 4340. Systems Programming. 3 Hours.

Prerequisites: CS 3335 and CS 3410, each with a grade of “C” or better. Implementation of concepts pertaining to the UNIX environment: process control and interprocess communication, job control, file and directory structures, and client/server processes.

CS 4345. Operating Systems. 3 Hours.

Prerequisites: CS 3101 and CS 3410, each with a grade of “C” or better. A survey of operating systems structures and services including batch systems, multiprogramming, time-sharing, process scheduling and synchronization, deadlocks, memory management, file-system interfaces and implementations, and secondary storage management.

CS 4500. Formal Languages and Automata Theory. 3 Hours.

Prerequisites: CS 3410 with a grade of C or better. Concepts pertaining to regular expressions, finite state machines, regular languages, regualr grammars, non regular languages, decidability, context-free grammars, and Turing machines.

CS 4700. E-Commerce Design. 3 Hours.

Prerequisite: CS 3410 with a grade of “C” or better. An in-depth study of e-commerce implementation. Through programming projects, students will learn e-commerce design principles, tools, and techniques.

CS 4721. Database Design I. 3 Hours.

Prerequisite: CS 3410 with a grade of “C” or better. The logical organization of databases: the entity-relationship model; the hierarchical model, network, and relational models. Hardware characteristics; file organization and evaluation. Functional dependencies and normal forms. Query optimization, concurrency control, and distributed database systems.

CS 4722. Database Design II. 3 Hours.

Prerequisite: CS 4721 with a grade of “C” or better. An in-depth study of advanced database design and implementation concepts including transaction processing, concurrency, control techniques, recovery techniques, distributed databases and client/server architecture, and security and authorization.

CS 4800. Internship in Computer Science. 3-6 Hours.

Prerequisites: Junior or senior standing, a minimum 2.5 GPA, and permission of the internship coordinator and Department Head. Graded “Satisfactory” or “Unsatisfactory.” Active participation in research or development in computer science or in a closely allied field. A daily log of activities, a report on the work done, and a report on the internship experience or a research paper relating the work done to the field of computer science are required.

CS 4820. Artificial Intelligence. 3 Hours.

Prerequisites CS 3410 With a grade of C or better. Definition of artificial intelligence, Common Lisp, logic programming, search techniques, knowledge representation including schemas and scripts, ART-enterprise as an expert systems, and principles expert systems.

CS 4825. Neural Networks. 3 Hours.

Prerequisites: MATH 2150 and MATH 2262, each with a grade of “C” or better. Concepts pertaining to neural networks including: definition of neural intelligence, basic neural computational models, learning: supervised and unsupervised, knowledge bases neural networks, back-propagation neural networks, radial basis neural networks.

CS 4830. Computer Graphics. 3 Hours.

Prerequisites: CS 3335, CS 3410, and MATH 2150, each with a grade of “C” or better. A survey of graphics systems and graphics programming. Topics include output primitives, transformations and viewing, modeling, user interfaces, and interactive methods. Both 2-D and 3-D concepts are discussed.

CS 4835. Parallel Programming. 3 Hours.

Prerequisite: CS 3335 with a grade of "C" or better. Intoduction to data parallel architectures, models, and programming environments. Students will design, develop, and optimize software for parallel computing resoruces.

CS 4900. Senior Seminar. 3 Hours.

Prerequisites: CS 1301 and 3410, each with a grade of "C" or better, and senior standing. A capstone experience intended primarily for computer science majors that involves group development and management of a substantial software project using current technologies and culminating in an oral presentation, product demonstration, and formal report. Advanced programming skills are used in this course.

CS 4950. Directed Study in Computer Science. 1-3 Hours.

Prerequisite: Consent of instructor. The student will undertake at least one major computer-science project under the supervision of the instructor. Credit will be assigned on the basis of the effort required by the project. May be taken more than once if topics are different.

CS 4990. Topics in Computer Science. 1-3 Hours.

Prerequisite: Consent of instructor. Topics to be assigned. May be taken more than once if topics are different.