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USA Undergraduate/Graduate Bulletin 2007-2008

COMPUTER SCIENCE (CSC)

All Pre-requisites must be passed with a minimum grade of “C”.

CSC 108 Introduction to Computer Science 3 cr
An introduction to the major areas of computer science, such as computing systems, the binary number system, data representation, hardware, programming languages, operating systems, applications, and communications. Historical societal, ethical, and current issues associated with computer science are discussed as students explore academic, research, and career opportunities in the field of computer science.
CSC 120 CS Introduction to Programming 4 cr
Introduction to the design of algorithms and their implementation in a high-level programming language. Topics include: algorithm design strategies, programming concepts, programming environment, data structures, searching and sorting methods, and internal representation of data types. Pre-requisites: MA 113, MA 115, MA 125 or Math-ACT score of 27 or higher or Math Placement Test score of 90 or higher.
CSC 121 CS Introduction to Programming II 4 cr
Continuation of CSC 120. Topics include: design concepts, abstract data types, use of object libraries, dynamic storage allocation, stacks, queues, link lists, random access files, testing and software engineering practices. Pre-requisites: CSC 120.
CSC 190 Computer Science Special Topics
1 cr
Selected topics in computer science. Pre-requisite: Permission of the CSC coordinator.

CSC 228 Digital Logic and Computer Architecture
3 cr
Topics include: Boolean algebra, minimization techniques, combinatorial and sequential circuit analysis, memory organization, microprocessor concepts, and system architecture. Pre-requisite or Co-requisite: CSC 121.

CSC 230 Data Structures 3 cr
Extension of elementary data structures as covered in CSC 121, techniques to organize and access collections of data. Definition, implementation, and use of Classes and Abstract Data Types (ADT). The use of ADTs and objects for solving CIS problems. Network, hierarchical, and relational data models leading to Database Management Systems. Topics include: recursion, search trees, algorithmic complexity, advanced searching and sorting algorithms, and graphs. Pre-requisite: CSC 108, and one of CSC 121 or CIS 211: Pre-requisite or Co-requisite MA 267.
CSC 311 Networking and Communications
3 cr
An introduction to computer networks. Topics include: data transmission, network architectures, communication devices and protocols, network routing and flow algorithms. Pre-requisite or Co-requisite: CSC 230.

CSC 320 Computer Organization and Architecture
3 cr
An introduction to computer organization using a top down approach from system component to the register level, internal representation of data, general assembly and linking concepts, addressing modes, and introduction to a specific processor, its architecture and operating system. Pre-requisite: CSC 230, CSC 228.

CSC 322 Operating Systems 3 cr
This course covers the development of operating systems that control computing systems. Topics include: file systems, process management, scheduling, memory management (real and virtual), security, and concurrency. Case studies of operating systems are examined. Pre-requisite: CSC 230.
CSC 324 Database Concepts
3 cr
Introduction to database design and implementation. Aspects of data modeling, database design theory, storage, indexing, and database application development. Entity-relationship model, relational data model, schema refinement, normal forms, file organizations, index structures, and embedded SQL application development. Pre-requisite: CSC 230.

CSC 331 Software Engineering Principles (W)
3 cr
Models, techniques, and tools used in project management. Topics include: software development process, task scheduling, estimation and progress measurement. Coordination of development teams. Standards, testing plans, configuration management, metrics and use of CASE tools, systems delivery and maintenance strategies. Pre-requisite: CA 275 and one of CSC 230 or ITE 285.

CSC 333 Programming Language Theory
3 cr
Formal examination of programming languages. Formal language concepts including syntax and basic grammars are studied. Language features such as data types and structures, control structures and data flow are examined. The run-time environment and the process of interpretation/compilation are covered. Interpreter and compilation techniques are introduced. Pre-requisite: CSC 230, CSC 331, and MA 267.
CSC 340 Secure Software Engineering 3 cr
This course will present sound security principles that should be incorporated into the software development process.  Students will learn a risk management framework for software engineering efforts as well as best practices for software security including code reviews, architectural risk analysis, penetration testing, risk-based security tests, abuse cases, security requirements, and security operations.  Students will also learn common flaws that lead to exploitation and be able to identify and mitigate such errors in practice.  Out of class labs and exercises reinforce concepts presented in class. Pre-requisite: CSC 331.

CSC 410 Compiler Design and Construction
3 cr
Lexical analysis, syntactic analysis, intermediate code generation, object code generation, optimization, memory use, generators for scanners and parsers. Pre-requisite: CSC 333.

CSC 411 Communications and Network Analysis
3 cr
Data communications and computer networks. An in-depth treatment of network architectures and protocols for both WANs and LANs. Topics include: network routing and flow algorithms, Internet working, and distributed systems. Pre-requisite: CSC 311 and CSC 322.

CSC 412 Real-Time Software Systems
3 cr
Design and implementation of software for real-time computer systems. Survey of typical real-time systems; techniques for code-conversation, error checking, and transmission monitoring. Pre-requisite: CSC 311 and CSC 322.

CSC 413 Computer Graphics
3 cr
An in-depth study of hardware and software techniques used in computer graphics. Study of display and entry devices including refresh, storage, and raster scan topics. Software techniques will include display files, windowing, clipping, two and three-dimensional transformations, and hidden-surface removal. Pre-requisite: CSC 230 and MA 126.

CSC 414 Modeling and Simulation
3 cr
Analytic and simulation models developed using deterministic and stochastic techniques. Topics include: event-driven simulations, queuing theory, Markov processes, and dynamic systems. ‘Real world’ project required. Pre-requisite: CSC 230 and MA 126, and one of ST 310, ST 315, or ST 320.

CSC 415 Numerical Analysis
3 cr
Mathematical preliminaries, solving linear systems, numerical solution of ordinary and partial differential equations. Pre-requisites: CSC 230 and MA 126.

CSC 416 Artificial Intelligence Theory and Programming
3 cr
Introduction to basic concepts, implementation techniques, and philosophies of artificial intelligence and intelligent systems. Introduction to expert systems, fuzzy logic systems, neural networks, and techniques for Artificial Intelligence Programming. The fundamentals of an AI programming language (LISP or PROLOG) will be presented. The language will then be used to solve problems in typical AI applications. Pre-requisite: CSC 230.
CSC 417 Game Development 3 cr
Introduction to computer game development, including a variety of related topics. The course will be driven by research/technical paper discussions, student presentations, and projects. The direction of the course will be guided to some extent by student interest. Pre-requisite: CSC 230 and MA 126.
CSC 432 Performance Evaluation of Algorithms
3 cr

Classification and analysis of algorithms including recursive, divide and conquer, greedy, etc. Data structures and algorithms design and performance. Run time and main storage complexity analysis. Performance evaluation measurements will be discussed and popular benchmarking techniques reviewed. P, NP, and NP complete complexities will be discussed. Pre-requisites: CSC 230 and MA 126 and one of ST 315 or 320.

CSC 434 Formal Language and Automata Theory
3 cr
Mathematical preliminaries, languages, context-free grammars, parsing, normal forms, finite automata, regular languages, pushdown automata, Turing machines. Pre-requisites: CSC 333.
CSC 457 Data Warehousing 3 cr
This course focuses on the design, development and usage of data warehouses. Course content includes dimensional modeling, ETL processes, physical design, and analytical processing. New research areas related to data warehousing technology will also be discussed.

CSC 490 Computer Science Special Topics
3 cr
Advanced selected topics in computer science. Pre-requisite: Permission of the CSC Coordinator.

CSC 510 Compiler Design and Construction
3 cr
Lexical analysis, syntactic analysis, intermediate code generation, object code generation, optimization, memory use, generators for scanners and parsers. Pre-requisite: CIS Graduate Professional Component.

CSC 511 Communications and Network Analysis
3 cr
Data communications and computer networks. An in-depth treatment of network architectures and protocols for both WANs and LANs. Topics include: network routing and flow algorithms, internet working, and distributed systems. Pre-requisite: CIS Graduate Professional Component.

CSC 512 Real-time Software Systems
3 cr
Design and implementation of software for real-time computer systems. Survey of typical real-time systems; techniques for code-conversion, error checking, and transmission monitoring. Pre-requisite: CIS Graduate Professional Component.

CSC 513 Computer Graphics
3 cr
An in-depth study of hardware and software techniques used in computer graphics. Study of display and entry devices including refresh, storage, and raster scan topics. Software techniques will include display files, windowing, clipping, two and three dimensional transformations, and hidden-surface removal. Pre-requisite: CIS Graduate Professional Component.

CSC 514 Modeling and Simulation
3 cr
Analytic and simulation models developed using deterministic and stochastic techniques. Topics include: event-driven simulations, queuing theory, Markov processes, and dynamic systems. ‘Real world’ project required. Pre-requisites: CIS Graduate Professional Component.

CSC 515 Numerical Analysis
3 cr
Mathematical preliminaries, solving linear systems, numerical solution of ordinary and partial differential equations. Pre-requisites: MA 238.
CSC 516 Artificial Intelligence Theory and Programming 3 cr
Introduction to basic concepts, implementation techniques, and philosophies of artificial intelligence and intelligent systems. Introduction to expert systems, fuzzy logic systems, neural networks, and techniques for Artificial Intelligence Programming. The fundamentals of an AI programming language (LISP or PROLOG) will be presented. The language will then be used to solve problems in typical AI applications. Pre-requisite: Professional Component Standing.
CSC 517 Game Development 3 cr
Introduction to computer game development, including a variety of related topics. The course will be driven by research/technical paper discussions, student presentations, and projects. The direction of the course will be guided to some extent by student interest. Pre-requisite: Graduate Professional Component.
CSC 520 Computer Architecture
3 cr
Instruction set design, pipelining, instruction-level parallelism, memory hierarchy design, and multiprocessors. Pre-requisite: CIS Graduate Professional Component.

CSC 522 Performance Evaluation of Algorithms
3 cr
Mathematical foundations, analytic, empirical, and qualitative evaluation techniques; dynamic programming, greedy algorithms, graph algorithms; and selected advanced topics. Pre-requisite: CIS Graduate Professional Component.

CSC 524 Computer Language Design
3 cr
A study of programming language design and specification, including the compiling process, parsing, BNF grammars, and models of semantics. Differences between interpreters, assemblers, and compilers will be studied. Pre-requisite: CIS Graduate Professional Component.

CSC 525 Complexity Theory
3 cr
Mathematical preliminaries, languages, finite automata, Turing machines, decidability, recursive function theory, computational complexity, tractability and NP-complete problems. Pre-requisite: CIS Graduate Professional Component.

CSC 526 Data Mining
3 cr
This course provides an in-depth study of data mining. Course content includes data preparation, feature selection, pattern mining, classification, clustering, and sequence mining. New research areas in data mining will also be discussed. Laboratory assignments will provide students with opportunities to interact with and develop data mining technologies.

CSC 527 Software Engineering Principles
3 cr
Advanced concepts of software engineering will be discussed. Program testing techniques including: structured design and walk-throughs, proving program correctness and verifiability, and system coding standardization and integration will be covered in depth. Software team formulation and management techniques will be discussed. Pre-requisite: CIS Graduate Professional Component.

CSC 532 Distributed Systems
3 cr
This course will further enhance the student's understanding of the details of how an operating system functions. It will focus on the advanced concepts associated with distributed operating systems. The student will learn the underlying concepts of such systems and the algorithms needed to provide the required synchronization and communication.

CSC 533 Artificial Intelligence and Heuristic Programming
3 cr
Methods of heuristic programming, the production of intelligent algorithms, and simulation of human cognitive processes will be studied. AI languages, such as LISP and PROLOG, will be discussed. Attention placed on the relationship between man-made machines (robots) and biological organisms with natural intelligence. Expert Systems and neural network research will be studied. Pre-requisite: CIS Graduate Professional Component.
CSC 557 Data Warehousing 3 cr
This course focuses on the design, development and usage of data warehouses. Course content includes dimensional modeling, ETL processes, physical design, and analytical processing. New research areas related to data warehousing technology will also be discussed.

CSC 580 Data Security 3 cr
The objective of this course is to introduce the inherent strengths and limitations of cryptography in data security applications, focusing on the basic principles of message privacy, key negotiation, and key management. The course covers various aspects of symmetric and asymmetric ciphers and provides a broad coverage of the core areas for engineering cryptographic systems. Sh1dents will be expected to implement and analyze simple cryptographic schemes and read supporting articles and papers for presentation. Pre-requisite: CIS Graduate Professional Component.
CSC 582 Network Security 3 cr
The objective of this course is to provide students with the knowledge and skills to begin supporting network security within an organization. Students will gain an understanding of fundamental netvvork security concepts and mechanisms, be able to identify security threats and vulnerabilities, and help respond to and recover from security incidents. Pre-requisite: CSC 580.
CSC 590 Computer Science Special Topics
3 cr
Advanced selected topics in computer science. Pre-requisite: Permission of the CSC Coordinator.

CSC 595 Computer Science Project Proposal Development
1-3 cr
Development of the project proposal for the CSC master’s project. Pre-requisites: Permission of the Director of CIS Graduate Studies.

CSC 598 Computer Science Project
1-3 cr

This course may be repeated for a maximum of six (6) credits. A CIS project committee will provide direction during the project. Pre-requisite: CSC 595, approval of project proposal by the student’s project committee, and permission by the Director of CIS Graduate Studies.

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