An introduction to career opportunities for computer scientists and strategies to improve academic preformance in the discipline. Course topics include lectures by computer science professionals and seminars on active coping, collaborative learning, pair programming, and the developent of inclusive relationships.

An introductory course that exposes students to the academic discipline of Information Technology (IT). Pervasive IT themes; IT history, organizational, social, and ethical issues, and relationship of IT to other computing disciplines will be covered.

This is an introductory course in the social impacts of computing technology. The course provides a brief introduction to digital literacy, The Internet, Computer ethics, and computer applications. It will focus on a number of areas in which computers and information technology are having an impact on society.

Formerly Basic Programming (Visual Basic) An introductory course in problem analysis and Visual Basic Programming. Emphasis is placed on the orderly analysis of a problem and the programming and testing of that problem.

An introductory course emphasizing the fundamental concepts of computer science. Topics include information representation, algorithms and problem solving, computer hardware and software and data manipulation.

A first course in computer programming that introduces the basic C++ programming constructs and object-oriented programming techniques. The focus of this course is learning C++ programming language syntax, semantics and developing students’ abilities to apply the knowledge in transforming algorithms into C++ code. Additional topics include program designing skill enhancing, program debugging, and good programming styles promotion.

A first course in computer programming that introduces the basic C++ programming constructs and object-oriented programming techniques. The focus of this course is learning C++ programming language syntax, semantics and developing students’ abilities to apply the knowledge in transforming algorithms into C++ code. Additional topics include program designing skill enhancing, program debugging, and good programming styles promotion.

Supplementary course to CSC-170 structured as a closed computer laboratory to complete specific programming tasks within a fixed time

An introduction to high level Internet programming techniques and Java with emphasis on internet programming basics for creating static Web pages and dynamic Web pages in HTML and XML through the addition of scripts. Utilize the latest Java Development Kit to create Java applets and stand alone Java applications for the Internet deployment.

This is an advance computer course that prepares students to develop critical thinking, information literacy and problem solving skills. Primary emphasis will be on working with email, wireless networking, search engines, creating web pages, and presentation tools. These extensive computer hands-on exercises are mandatory and developed to allow learning by doing. A presentation project is required.

An advanced course in electronic research and presentations, utilizing the Internet and the World Wide Web. Primary emphasis will be on E-Mail, Search Engines, News Groups, and presentation tools. Extensive laboratory assignments and hands-on exercises using the microcomputer laboratory are mandatory. A formal talk using presentation tools is required.

An introduction to the basics of computer operating systems including file systems, configuration, interprocess communication, security, administration, interfacing, multitasking, and performance analysis.

Introduction to data structures, algorithms and building objects. Topics include linked lists, stacks and queues, recursion and binary trees.

Supplementary course to CSC-260 structured as a closed computer laboratory to complete specific programming tasks within a fixed time

Fundamentals of the architecture and operation of modern computers. Computer arithmetic: binary, hexadecimal and decimal number conversions, binary number arithmetic and IEEE binary floating point number standard. Basic computer logic: gates, combinational circuits, sequential circuits, adders, ALU, SRAM and DRAM. Basic assembly language programming, basic Instruction Set Architecture (ISA), and the design of single cycle CPU. The MIPS based computers are used as example architecture, and alternative architectures are also discussed.

An introduction to the areas of discrete mathematics that are important for computer science. Topics include logic, sets, functions, relations, algorithms, counting methods, and graph theory.

An introduction to C programming in a UNIX environment. Course content includes the UNIX command interpreter Shell; the use of Shell scripts to create powerful tools and applications; and the development of application and systems programs using C.

An introduction to the core Java language with emphasis on application development using the latest Java class libraries such as Swing, JavaBeans, Java 2D, and Java 3D. This course is designed for students who are familiar with object-oriented programming in C++ and the fundamentals of the World Wide Web.

This is an introductory course that covers the basics of how networks work, including the topics of OSI model, Internet model, network components, LANs, WANs, routers, switches, wireless communication, network security, TCP/IP Internet protocols, and network applications such as web and email. It also covers the fundamental aspects of configuring and troubleshooting network features on a Windows or UNIX workstation.

This is an intermediate-level course for students who are interested in Networking. This course is designed to provide students with essential knowledge and skills that an effective network administrator must possess. It provides an overview of the essential TCP/IP protocols, and discusses how to properly configure and manage the network services based on these protocols (including DNS, DHCP, AD/LDAP directory services, print and file servers, NFS/NIS, and routing services). It also has a hands-on lab component for students to learn how to setup, configure, troubleshoot, and administer these network services in both Windows and Linux/Solaris environments.

This is an intermediate-level course for students who are interested in Networking. This course is designed to provide students with essential knowledge and skills that an effective network administrator must possess. It provides an overview of the essential TCP/IP protocols, and discusses how to properly configure and manage the network services based on these protocols (including DNS, DHCP, AD/LDAP directory services, print and file servers, NFS/NIS, and routing services). It also has a hands-on lab component for students to learn how to setup, configure, troubleshoot, and administer these network services in both Windows and Linux/Solaris environments.

A second Internet programming course concentrating on advanced Internet application development. Creation of relatively sophisticated web pages and application that allow interactions between web page users and the web page as well as network programming, JSP, JDBC, XML processing are the main focus of the course. Different Internet programming language and tools will also be included.

An introduction to the techniques used for designing, implementing, and testing human-computer interfaces. Topics include design methods for creating user centered interfaces, interface implementation, techniques and tools for event driven programming, and interface testing and evaluation.

Survey of programming languages such as FORTRAN, PL/1, AGOL, Pascal, APL, SNOBOL, Ada, Prolog, C, and LISP with emphasis on data structures and storage, control structures, execution environment, input/output, and the syntax and semantics of the languages.

An introductory course in computing theory. Topics include sequential machines, formal languages and Turing machines, computable and non-computable functions, and finite state automata.

An analysis of data structures and algorithms using C++ as the implementation language. Detailed examination of lists, heaps, trees, graphs, file structures, and the use of formal methods with emphasis on the development and analysis of efficient algorithms.

An introduction to the design of software projects with the analysis, design, implementation, testing and maintenance of the software life cycle with emphasis on significant and varied writing components, including group projects paralleling realistic software development projects.

An introductory course providing individuals with the core skills needed to meet the demands of the Web development and Internet community. The three key skill areas focused in this course are Web management, content management, and technical management.

An introductory course emphasizing the basic concepts and principles of database systems. Topics include introduction to database systems and databases, different database system models, basic systems and language support for database systems; relational modes, realtional algebra and introduction to relational database design as well as overview of common database system issues.

A second database course for computer science majors with information system emphasis. Topics include database design methodology and tools, data organizations concepts, database applications design and implementation, database application programming using embedded SQL, and database administrations. Project(s) of more significant size and complexity will be completed during the semester.

Study of principles of computer communication as well as hardware and software designs, including transmission media, data encoding, transmission techniques, protocols, switching networks, broadcast networks, and local area networks.

An introduction to various wireless data network standards at a technical level. Emphasis will be on learning wireless network architectures for wireless LANs wireless PANs, broadband wireless access (BWA) and cellular data networks (3G and beyond).

This course is designed for seniors and IT professionals to learn computer and network security theories and practices that can be used to significantly reduce the security vulnerability of computers on internal networks or the Internet. The course assumes some familiarity with various operating systems and computer networks. Topics include cryptography, program security, operating systems security, database security, network security, security administration, computer ethics and legal issues.

A one-semester, undergraduate-level course focuses on computer network defense and countermeasures. It is designed to give students a solid foundation in network security fundamentals. The course covers both the conceptual and practical aspects of network security. It first reviews the threats to network security, the defense-in-depth strategy and technologies, and network security policy design and implementation. The course then explores the three key network defense technologies in depth: firewalls, intrusion detection and prevention systems, and virtual private network. An emphasis on labs and projects will provide students hands-on learning experiences in using popular open- source and “industry-standard” tools and solutions to implement a wide spectrum of defense measures to protect computer networks, and to detect, respond to, and recover from intrusion.

An introduction to the history and evolution of operating systems, the concepts behind and structure of various operating systems, process scheduling, interprocess communication, input and output, multiptogramming, memory management and file systems. Concepts of distributed operating systems are also introduced.

Elective course for Computer Science.

A semester course that covers advanced topics in computer science that are not generally covered in the curriculum.

Study of computer organization and architecture that deals with processors, their architectures, memory, input, output, the micro architectural level, instruction set architectural level and the operating system machine level.

In-depth study of concepts and problem solving techniques of artificial intelligence, including knowledge representation, functional and logic programming, machine learning, natural language understanding, computer vision, robotics, and societal impact.

Advanced computer topics not generally covered in the curriculum. Designed as a Computer Science elective--not as a replacement for any specific required course.

Advanced computer topics not generally covered in the curriculum. Designed as a Computer Science elective--not as a replacement for any specific required course.

Study of interactive computer graphics hardware and software: display devices, 2D and 3D geometric transformations, raster algorithms, representation of curves and surfaces, hidden line removal and surfaces, shading algorithms, and color graphics.

Supervised independent project designed to explore a single topic in a one-to-one learning relationship with a faculty member.

Fundamentals of system and network programming methodology, techniques, system calls and library calls.

Culminating course that allows students the opportunity to synthesize computer science knowledge and experiences through participation in a research project of the student's choice. Results of the research are presented to peers and other interested members of the computer science community.

Culminating course that allows students the opportunity to synthesize computer science knowledge and experiences through participation in a research project of the student's choice. Results of the research are presented to peers and other interested members of the computer science community.

An Introductory course emphasizing the basic concepts and principles of database systems. Topics include relation, hierarchical, and network approaches to data organization

(Does not count towards MS.CSC degree). This is a one semester course that extensively covers programming concepts and techniques at an accelerated pace. Students learn how to develop, test and debug programs on both Unix and Microsoft platforms. Topics covered include control structures, files, arrays, strings, classes and data abstractions, pointers, virtual functions, object oriented concepts, linked lists, stacks and queues.

Study of principles of computer communication as well as hardware and software designs, including transmission media, data encoding, transmission techniques, protocols, switching networks, broadcast networks, and local area networks.

This course is designed for seniors and IT professionals to learn computer and network security theories and practices that can be used to significantly reduce the security vulnerability of computers on internal networks or the Internet. The course assumes some familiarity with various operating systems and computer networks. Topics include cryptography, program security, operating systems security, database security, network security, security administration, computer ethics and legal issues.

Topics include the history and evolution of operating systems, the concepts behind and structure of various operating systems, process scheduling, interprocess communication, input and output, multliprogramming, memory management and file systems. Concepts of distributed operating systems are also introduced.

Advanced computer topics not generally covered in the curriculum. Designed as a Computer Science elective -- not as a replacement for any specific required course.

Advanced computer topics not generally covered in the curriculum. Designed as a Computer Science elective -- not as a replacement for any specific required course.

In depth study of concepts and problem solving techniques of artificial intelligence. Topics include knowledge representation, functional and logic programming, machine learning, natural language understanding, computer vision, robotics, and societal impact.

Advanced computer topics not generally covered in the curriculum. Designed as a Computer Science elective -- not as a replacement for any specific required course.

Advanced computer topics not generally covered in the curriculum. Designed as a Computer Science elective -- not as a replacement for any specific required course.

Designed to focus on interactive computer graphics hardware and software: display devices, 2D and 3D geometric transformations, raster algorithms, representation of curves and surfaces, hidden line removal and surfaces, shading algorithms, and color graphics.

Fundamentals of system and network programming methodology, techniques, system calls and library calls.

Computational Science is an emerging field of study focusing on collaborative research conversing a wide variety of science disciplines. This is a one-semester course to provide students with an overview of applications of computational skills to solve scientific research problems. The computational skills in review include: Programming Languages, Algorithms, Database Implementation, Internet technologies, Data Visualization, Statistics, Modeling and simulation, and Operations Research. The course will be team-taught by a group of scientists from Mathematics, Chemistry, Physics, Biology and Engineering departments and Center for Material Research, SciViz Laboratory and The B.E.S.T. Laboratory, and other applied science laboratories to cover a wide-range of expertise.

Computational Science is a rapidly emerging field to foster collaborative research by teams of mathematicians, computer scientists, and scientists, to cover a wide variety of science disciplines. This is a one-semester course to provide students with an overview of applications of computational skills to solve scientific research problems. The computational skills in review include: Programming Languages, Algorithms, Database Implementation, Internet technologies, Data Visualization, Statistics, Modeling and simulation, and Operations Research. The course will be team-taught by a group of scientists from Mathematics, Chemistry, Physics, Biology and Engineering departments and Center for Material Research, SciViz Laboratory and The B.E.S.T. Laboratory, and other applied science laboratories to cover a wide-range of expertise.

Design and analysis of algorithms. Turing machines, NP-Complete theory, best, average, and worst case analysis, divide-and-conquer, greedy method, dynamic programming, graph traversal, backtracking, and branch-and bound techniques. Sorting, searching, graph algorithms, and optimization.

A one-semester, advanced graduate-level course focusing on the concept of internetworking in general and the TCP/IP internet technology in particular. The course reviews both the architecture of network interconnections and the principles underlying protocols that make interconnected networks function as a single, unified communication system. It also covers how an Internet communication system can be used for distributed computation and communication.

This course is designed for Security System Administrators and Managers who are responsible for the design, planning and management of security installations in Business and Government Institutions. Topics include Management of Information Security, security planning, security protection (technical and procedural), best practices, risk management, Operations Security, legal issues and certification and accreditation. The course assumes some familiarity with various topics taught in an Introduction to Information Assurance course.

Study of historical and modern cryptographic techniques and algorithms. Topics include symmetric and asymmetric key cryptography, one-way functions, secure hash functions, digital signatures, key exchange, authentication, key management, PKI, DES, AES (Rijndael), current topics.

Study of high performance computing techniques. Includes the study of parallel computer architecture, memory, and I/O. Also, parallel computer algorithms to include shared and distributed memory, parallel computation models, graph algorithms, numerical algorithms, divide-and-conquer.

Principles and advanced topics of the instruction set architecture for uni-processor, embedded system processor, and multi-processor.

Fundamental concepts of the algorithms and design principles underlying modern 3D computer graphics, data and scientific visualization.

Supervised independent project designed to give computer science graduate students the opportunity to explore a single topic in a one-to-one learning relationship with a faculty member.

(Does not count towards MS.CSC degree credits). A one credit hour course that allows students to maintain continuous registration status.

(Does not count towards MS.CSC degree credits) A one credit-hour course that allows students to apply their skills in a work setting. The credit earned through this course will not be counted towards MS.CSC degree credit. A student can take this course, and repeat it for up to three times, when he/she is away from campus on outside employment for internship or practical training in a related technical field. This is a Pass/Fail course

Wireless sensor networks are a sensing, computing and communication infrastructure that allows us to monitor and manipulate our environment. They are a new frontier in communications. Their computation and communication infrastructure are radically different from traditional networks, and have become a popularly studied field within both industry and academic institutions, because they can potentially introduce revolutionary effect to the economy and our life, from environment monitoring, to manufacturing management, to automation in transportation and health-care industries.

This course includes the major fields in optical networks, dynamic spectrum access in wireless networks, cognitive radio networks, network coding, and other newly emerged networking technologies. For optical networks, the topics include WDM network elements, routing and wavelength assignment algorithms, blocking probability analysis, virtual/physical topology design, survivability, and IP over WDM. For dynamic spectrum access or cognitive radio networks, the topics include enabling technologies for cognitive radio, channel assignment/selection, routing, security, and spectrum management. This course will also cover network coding and other new ideas.

A graduate course in the Information Assurance Track. It introduces basic concepts and latest research trends and results in developing secure software. Topics include the best practices in developing secure software within Software Development Lifecycle (SDLC).

Survey of current topics in Information Assurance.

A one-semester, graduate-level course focuses on computer network defense and countermeasures. It is designed to give students a solid foundation in advanced network security fundamentals. The course covers both the conceptual and practical aspects of network security. It first reviews the threats to network security, the defense-in-depth strategy and technologies, and network security policy design and implementation. The course then explores the three key network defense technologies in depth: firewalls, intrusion detection and prevention systems, and virtual private network. An emphasis on labs and projects will provide students hands-on learning experiences in using popular open-source and “industry-standard” tools and solutions to design and implement a wide spectrum of defense measures to protect computer networks, and to detect, respond to, and recover from intrusion.

Advanced computer topics not generally covered in graduate 600/700 level curriculum. Designed as a Computer Science graduate elective--not as a replacement for any core courses.

Supervised independant project designed to give Computer Science graduate students the opportunity to explore a single topic in a one-on-one learning relationship with a faculty member.

Guided Master's degree project under the supervision of the course instructor. Requires extensive expository and other tasks and a formal 45 minute public presentation of the project's work. Projects must be approved by the Computer Science Graduate Committee.

First semester of the Master's Thesis sequence. Under the supervision of the thesis advisor, students prepare a thesis proposal and work toward the goal of completing all background material needed for their research. Minimally, a satisfactory thesis draft will be used to satisfy completion of the course. The graduate committee must approve the thesis topic.

The culmination of the two semester Master's Thesis sequence. Students must complete the thesis and defend it to a committee.