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CSC 1. Introduction to Computer Science.
Fundamental concepts of computers, computation and programming; history and principles of computing; problem solving; input, output; data representation, storage, and file organization; computer hardware, networking and data communication; social, economic and ethical implications; computer security and privacy. Students will solve problems using a programming language. Lecture, two hours; technical activity and laboratory, two hours.
Prerequisite: Intermediate algebra. Graded: Graded Student.
Units:
3.0
CSC 1A. Introduction to Computer Science for Advanced Students. Same material as covered in CSC 1 but intended for students who already have significant knowledge of the fundamental concepts of computers and/or computer programming. Students must attend the orientation session during the first class meeting. Two placement tests, one on programming and one on concepts, will be scheduled and used to determine student's prior preparation. Note: May be taken by those wishing to obtain credit by examination. Please refer to examination credit guidelines in the University catalog. Not open to students who have received credit for CSC 1 or MIS 5. Graded: Credit / No Credit. Units: 3.0
CSC 5. Personal Computing. Introduction to the role and use of personal computers, emphasizing the use and relevancy of common software for word processing, database, spreadsheet analysis, graphics, and communications. Examination of the personal computing milieu and the applications environment. Lecture two hours, technical activity and laboratory two hours. Graded: Graded Student. Units: 3.0
CSC 8. Introduction to Internet Technologies. Internet applications such as email, instant messaging, file transfer, secure communications, the web, and related tools and protocols. Basics of the web-publishing process and methods used to locate authoritative information on the internet. Webpage design, internet security and emerging technologies on the internet. Prerequisite: Basic computer literacy recommended. Graded: Graded Student. Units: 3.0
CSC 8S. Self-Paced Introduction to Internet Technologies. Covers the same material as CSC 8, Introduction to Internet Technologies. Provided by electronic means in addition to meetings for orientation, laboratory demonstrations, and tests. Internet applications such as Email, instant messaging, file transfer, secure communications, the Web, and related tools and protocols. Basics of the Web-publishing process and methods used to locate authoritative information on the Internet. Webpage design, Internet security and emerging/declining technologies on the Internet. Prerequisite: Basic computer literacy recommended. Graded: Credit / No Credit. Units: 3.0
CSC 10. Introduction to Programming Logic. Introduction to computer science with an emphasis on programming concepts and methodology. Intended to assist students with little or no programming experience to understand the basic principles of programming logic. Topics include computer hardware and software, problem solving and algorithm development, flow of control, modular design using techniques that can be applied to common programming languages. Lecture two hours, technical activity and laboratory two hours. Prerequisite: Math 11 or equivalent Graded: Graded Student. Units: 3.0
CSC 10A. Accelerated Introduction to Programming Logic. Introduction to computer science with an emphasis on programming concepts, logic, and methodology: computer hardware and software, problem solving and algorithm development, flow of control, and modular design. Accelerated and more in-depth study of programming concepts than CSC 10. Intended for computer science and computer engineering majors who have little or no programming experience. Lecture two house, technical activity and laboratory, two hours. Not open to students who have received credit for CSC 10. Preqrequisite: Math 11 Graded: Graded Student. Units: 3.0
CSC 15. Programming Concepts and Methodology I. Programming concepts using an object-oriented programming language. Introduction to methodologies for program design, development, testing, and documentation. Topics include program design, algorithm design, number systems, classes and objects, methods (functions), control structures, arrays, and interactive input/output. Lecture two hours, technical activity and laboratory two hours. Prerequisite: CSC 10, or programming experience in a high-level programming language. Graded: Graded Student. Units: 3.0
CSC 15W. Programming Methodology I Workshop. Designed to assist students in developing a more thorough understanding of programming methodology and problem solving techniques. Activity two hours. Corequisite: CSC 15. Graded: Credit / No Credit. Units: 1.0
CSC 20. Programming Concepts and Methodology II. Application of object-oriented techniques for systematic problem analysis and specification, design, coding, testing, and documentation. Semester-long project approach emphasizing larger programs. Managing program complexity using abstraction. Introduction to algorithm analysis and Big-O notation. Advanced language features. Basic sorting and searching algorithms. Recursion. Lecture two hours, technical activity and laboratory two hours. Prerequisite: CSC 15. Graded: Graded Student. Units: 3.0
CSC 21. First Year Seminar: Becoming an Educated Person. Introduction to the nature and possible meanings of higher education, and the functions and resources of the University. Designed to help students develop and exercise fundamental academic success strategies and to improve their basic learning skills. Development of information competence and computer literacy. Students interact with fellow students and the seminar leader to build a community of academic and personal support. Graded: Graded Student. Units: 3.0
CSC 22. Visual Programming in BASIC. Computer Programming using Visual Basic. Topics include the Visual Basic Integrated Development Environment, visual user interface development, concepts of object-oriented programming, variables, control structures, arrays, functions, subroutines, strings, files, and database access. Applications will be created in areas such as business, games, and multimedia. Lecture two hours, technical activity and laboratory two hours. Prerequisite: Intermediate Algebra. Graded: Graded Student. Units: 3.0
CSC 25. Introduction to C Programming. Topics include: types, operators, control structures, input/output, arithmetic operations, the C library and preprocessor, functions and parameters, arrays, strings, pointers, and structures. Program design and style will be emphasized. Students will use a compiler. Note: Students with significant programming experience should take CSC 60 rather than CSC 25. Lecture two hours, technical activity and laboratory two hours. Graded: Graded Student. Units: 3.0
CSC 28. Discrete Structures for Computer Science. Introduction to the essential discrete structures used in Computer Science, with emphasis on their applications. Topics include: counting methods, elementary formal logic and set theory, recursive programming, digital logic and combinational circuits, real number representation, regular expressions, finite automata. Prerequisite: MATH 26A or MATH 29; and CSC 20; CSC 20 may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 35. Introduction to Computer Architecture. Internal representation of numeric and non-numeric data, assembly level machine architecture, addressing modes, subroutine linkage, polled input/output, interrupts, high-level language interfacing, macros and pseudo operations. Lecture two hours, technical activity and laboratory two hours. Prerequisite: CSC 15. Graded: Graded Student. Units: 3.0
CSC 60. Introduction to Systems Programming in UNIX. Features of the C language commonly used in systems programming, application to systems programming in a UNIX environment. Topics include C preprocessor macros, I/O, bit-manipulation facilities, timesharing system concepts, file permissions, shell script programming, make files and source code control, basic system calls like fork and exec, pointers and dynamic memory allocation, libraries and relocation and linking concepts including assembler handling of symbol tables. Prior knowledge of a C like programming language is presumed. Prerequisite: CSC 20, CSC 35. Graded: Graded Student. Units: 3.0
CSC 80. Web Development with HTML/XHTML and Tools. Hands-on course covering the processes and guidelines for creating and customizing interactive webpages. Emphasis on use of HTML/XHTML, CSS, and tools to create webpages. HTML/XHTML syntax to create, format, and link documents. Use of tables, graphics, styles, forms, multimedia, and other features in webpages. Effective webpage design and website organization. Lecture two hours and technical activity and laboratory two hours. Prerequisite: CSC 8 or equivalent computer and Internet experience. Graded: Graded Student. Units: 3.0
CSC 114. Digital Evidence and Computer Crime. Topics include technology and law, computer basics for digital investigations, network basics for digital investigations, investigation of computer crime, and the handling of digital evidence. Prerequisite: CSC 1 and CSC 8 or CSC 8S or CSC 80; or instructor permission. Graded: Graded Student. Units: 3.0
CSC 115. Internet Security. Internet security problems and discussion of potential solutions: network vulnerabilities and attacks, secure communication and use of cryptography, Internet security protocols and tools to defend against network attacks, network intrusion detection, and wireless network security. Survey and use of software tools for network security. Prerequisite: CSC 1 and CSC 8 or CSC 8S or CSC 80; or instructor permission. Graded: Graded Student. Units: 3.0
CSC 116. Cyber Forensics. Fundamentals of computer forensics and cyber-crime scene analysis including laws, regulations, and international standards; formal methodology for conducting security incident investigations; categories of electronic evidence. Projects involving digital forensic tools. Prerequisite: CSC 1 and CSC 8 or CSC 8S or CSC 80; or instructor permission. Graded: Graded Student. Units: 3.0
CSC 120. Web Server Administration. Managing and maintaining Web servers. Administering open source and commercial Web servers, Web hosting alternatives, professional standards and practices of website hosting, Web server installation, configuration, management, and security. Selecting and using technologies to support professional quality websites. Lecture two hours; technical activity and laboratory two hours. Prerequisite: CSC 80. Graded: Graded Student. Units: 3.0
CSC 121. Client-Side Web Programming. Client-side Web programming using JavaScript, DHTML, and client-side Web technologies. Event-driven programming, dynamic data types, control structures, and introduction to object-oriented programming and program design. Use of cookies and built-in objects. Validation and processing of forms. Basic features of the Document Object Model. Prerequisite: CSC 22, CSC 80 or equivalents; OR PCSC/CSC Major, CSC 60, CSC 130. Graded: Graded Student. Units: 3.0
CSC 122. Web Database Applications. Fundamentals of building effective database-driven web applications. Particular emphasis on database access via web interfaces. Introduction to database management systems, their structure and usage, SQL, integrating web applications with databases, design and implementation of dynamic web database applications. Prerequisite: CSC 10 or CSC 22; and CSC 80 or equivalent. Graded: Graded Student. Units: 3.0
CSC 123. Web Application Development. Developing multi-tiered enterprise-level Web applications. Standards of Web services and other current Web technologies, including XML, AJAX, and server-side programming such as Java EE, .NET, or PHP. Development of Web applications such as those used for e-commerce, e-business, and content management. Format consists of two 1.5 hour lecture/lab sessions per week. Prerequisite: CSC 22, CSC 121, CSC 122, or equivalent experience; OR PCSC/CSC Major, CSC 60, CSC 134. Graded: Graded Student. Units: 3.0
CSC 126. 3D Computer Modeling. Techniques and processes to create 3D computer models and environments. Exercises, assignments and projects designed to build skill levels with 3D computer modeling tools. Demonstrations and workshops in the use of 3D computer modeling software. Critiques, discussion and presentations to develop students' conceptual grasp of 3D computer modeling and virtual reality environments. Example applications in art/new media and computer gaming. Note: May be taken twice for credit. Prerequisite: CSC 10 or ART 97 or equivalent. Cross-listed as ART 142. Graded: Graded Student. Units: 3.0
CSC 127. 3D Computer Animation. Creative skills and techniques for animating 3D computer-modeled objects/environments. Topics include animation techniques; keyframing and interpolation; deformation and morphing; path control; skeletal animation; model rigging and skinning; forward and inverse kinematics, constraints and IK solvers; particle systems; fluid, cloth, hair, and fur simulation; shape keys; and soft body animation. Emphasis on both skill development and creative application of modeling and animation techniques. Includes demos, in class and homework excercises, and self directed projects. Prerequisite: ART 142 or CSC 126. Cross-listed: ART 143. Graded: Graded Student. Units: 3.0
CSC 130. Data Structures and Algorithm Analysis. Specification, implementation, and manipulation of complex data structures: linear/lists, stacks, queues, trees, sets, and graphs. Design and analysis of algorithms. Recursion and stack-based memory management. Advanced searching and sorting. NP-completeness. Prerequisite: CSC 20, CSC 28; CSC 28 may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 131. Computer Software Engineering. Principles of Software Engineering covering the software development life cycle, including software requirements engineering (elicitation, modeling, analysis and specification), software design, software implementation and testing. Main topics include various software development process models, method and techniques for specifying requirements, architectural and detailed design specification, prototyping, top-down and bottom-up software implementation and testing. Topics also include project management, project documentation and the development of communication skills through written documentation and oral presentation. Prerequisite: CSC 130; may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 132. Computing Theory. Introduction to computing theory with examples and applications. Automata and formal languages; language recognition and generation; language hierarchy; deterministic and non-deterministic automata; regular expressions; pushdown automata and context-free grammars; properties of regular and context-free languages; Turing machines; computable and noncomputable functions; decidability. Prerequisite: CSC 28, CSC 130; CSC 130 may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 133. Object-Oriented Computer Graphics Programming. Introduction to computer graphics and advanced topics in object-oriented (OO) programming. The OO paradigm is used throughout, utilizing computer graphics as the vehicle for solidifying basic OO concepts, studying the implementation of event-driven systems, and for developing a thorough understanding of advanced OO concepts such as inheritance and polymorphism. Topics include fundamental concepts of object-oriented programming, software design patterns, graphic devices, line and surface drawing, simple 2D and 3D representation, and use of User Interface components. Prerequisite: CSC 130, CSC 131. Graded: Graded Student. Units: 3.0
CSC 134. Database Management Systems. Entity-Relationship (ER) model; relational model; relational database design by ER-to-relational mapping; design of applications using database technology; SQL; schema definition, constraints, and queries; relational algebra; data normalization; access methods such as indexing and hash structures; introduction to transaction processing. Prerequisite: CSC 130. Graded: Graded Student. Units: 3.0
CSC 135. Computing Theory and Programming Languages. Introduction to computing theory with examples and applications. Automata and formal languages; regular expressions; deterministic and non-deterministic finite automata; pumping lemma for regular languages; push-down automata and context-free grammars; language recognition; parsing techniques including recursive descent; Turing machines; computable and non-computable functions. Design and implementation of selected features of programming languages. Functional and logic programming paradigms. Prerequisite: CSC 28, CSC 35, CSC 130. Graded: Graded Student. Units: 3.0
CSC 136. Programming Languages. Evolution and characteristics of programming languages. Scripting, procedural, object-oriented, functional and logic paradigms. Language specification; interpreters and compilers; virtual machines; parsing techniques. Design and implementation of selected features of programming languages. Programming languages used in the development of intelligent systems, with introduction to Artificial Intelligence. Trends in programming languages. Prerequisite: CSC 35, CSC 132. Graded: Graded Student. Units: 3.0
CSC 137. Computer Organization. Introduction to computer organization and architecture. Combinational devices, sequential and synchronized circuits, memory organization, CPU architecture and organization, bus structures, input/output, interrupts, DMA, memory hierarchy, introduction to instruction level parallelism, multithreading, and multiprocessing. Exposure to hardware security issues. Prerequisite: CSC 28, CSC 35, CSC 130 Graded: Graded Student. Units: 3.0
CSC 138. Computer Networks and Internets. Overview of the fundamentals of computer networks and connections between networks, from the physical layer up through peer-to-peer communications at the application level. Lower layer characteristics including serial vs. parallel, capacity issues, high-speed connections, LAN framing and error handling. LAN vs. WAN characteristics, network architecture and the ISO network model. Internetworking components including LANs, repeaters, routers, bridges, and gateways. Internet addresses, TCP/IP, and the Domain Name System. Common Internet client/server application protocols including SMTP and FTP. Client/Server programming involving sockets. World Wide Web characteristics including CGI and HTTP protocol, Web pages, Web browsers, Web servers, and Applets. Introduction to advanced Web issues such as Web security, search engine operations, and Web database operations. Prerequisite: CSC 35, CSC 60, CSC 130. Cross Listed: CPE 138; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 139. Operating System Principles. Contemporary operating system organization and structure. Topics include: process and thread, concurrency, scheduling, interprocess communication and synchronization, deadlock, real and virtual memory management, device management, file systems, network and distributed operating systems, security and protection. Prerequisite: CSC 60, CSC 137; or equivalents. Graded: Graded Student. Units: 3.0
CSC 140. Advanced Algorithm Design and Analysis. Algorithm design using dynamic programming, randomization and greedy methods. Analysis using recurrence relations and amortization. String and network-flow algorithms. NP-completeness, reductions, and approximation algorithms. Review of divide-and-conquer design and asymptotic notation. Prerequisite: CSC 130. Graded: Graded Student. Units: 3.0
CSC 142. Advanced Computer Organization. Design and performance issues of computers. Instruction set architecture, computer arithmetic, processor design, survey of contemporary architectures, interfacing I/O devices, hierarchal memory design and analysis, parallelism and multiprocessing, distributed systems, techniques for enhancing performance, and an introduction to EDA tools for design and verification of computers. Design and simulation of a microcomputer in an HDL. Note: Open to students with full CSC or CPE major standing only. Prerequisite: CSC 137 or CPE 166 and CPE 185. Cross Listed: CPE 142; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 148. Modeling and Experimental Design. Modeling and simulation techniques; Monte Carlo methods; queuing theory; model formulation, data collection and analysis, experimental design; model verification and validation. Prerequisite: MATH 26B or MATH 31, STAT 50 or ENGR 115, and proficiency in a programming language. Graded: Graded Student. Units: 3.0
CSC 151. Compiler Construction. Practical approach to compiler design and implementation. Organization of a compiler, algorithms for lexical, syntactic and semantic analysis, recursive descent and/or LALR parsing, organization of symbol tables, error detection and recovery, object code generation. Modular design will be emphasized. Prerequisite: CSC 135 Graded: Graded Student. Units: 3.0
CSC 152. Cryptography. Introduction to design and analysis of cryptographic systems. Symmetric cryptography: Block ciphers and secure hash functions. Asymmetric cryptography: Key exchange and public-key systems. Authentication and encryption in an adversarial model. Simple cryptanalysis. Protocol design and analysis. Prerequisite: CSC 60, CSC 130; and STAT 50 or ENGR 115 Graded: Graded Student. Units: 3.0
CSC 153. Computer Forensics Principles and Practices. Fundamentals of computer forensics, cyber-crime scene analysis and electronic discovery. Technical and formal methodology for conducting security incident investigations; file systems and storage analysis, data hiding techniques, network forensics; projects involving using, understanding, and designing digital forensics tools; anti-forensics; legal issues and standards. Prerequisite: CSC 138 or CPE 138. Graded: Graded Student. Units: 3.0
CSC 154. Computer System Attacks and Countermeasures. Introduction to network and computer security with a focus on how intruders gain access to systems, how they escalate privileges, and what steps can be taken to secure a system against such attacks. Topics include: Perimeter defenses, intrusion detection systems, social engineering, distributed denial of service attacks, buffer overflows, race conditions, trojans, and viruses. Prerequisite: CSC 138 or CPE 138. Graded: Graded Student. Units: 3.0
CSC 155. Advanced Computer Graphics. Modeling, viewing, and rendering techniques in 3D computer graphics systems. Topics include modeling systems and data structures; polygonal and parametric surface representation; transformations, windowing, clipping and projections in 3D; hidden surface removal algorithms; techniques for realism such as shading, shadows, highlights, and texture; fractals and procedural models; introduction to animation; hardware support for computer graphics; and the application of graphics principles to virtual reality systems and 3D games. Prerequisite: CSC 133. Graded: Graded Student. Units: 3.0
CSC 159. Operating System Pragmatics. Application of operating system principles to the design and implementation of a multitasking operating system. Students will write an operating system for a computer platform. Topics include: scheduling of processes, control and allocation of computer resources, and user interfacing. Prerequisite: CSC 139. Cross Listed: CPE 159; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 165. Computer Game Architecture and Implementation. Architecture and implementation of computer game systems. Topics include game engine architecture; screen management and rendering control; geometric models; algorithms and data structures for spatial partitioning, occlusion, and collision detection; real-time interactive 3D graphics and animation techniques; behavioral control for autonomous characters; simulation of physical phenomena; sound and music in games; optimization techniques; multi-player games and networking; game development tools and environments. Substantial programming and project work. Prerequisite: CSC 130; CSC 133; MATH 26A or MATH 30; PHYS 5A or PHYS 11A. Graded: Graded Student. Units: 3.0
CSC 170. Software Requirements and Specification. Analysis and specification of functional and non-functional requirements for real-time and non-real-time software systems in the context of a software development lifecycle. Determining customer and user software requirements and ensuring that specifications are correct, complete, and testable. Includes modeling techniques, methods for representing real-time requirements, and the use of Computer-Aided Software Engineering (CASE) tools to illustrate analysis concepts. Prerequisite: CSC 131. Graded: Graded Student. Units: 3.0
CSC 171. Software Engineering Project Management. Fundamental issues in the management and economics of a software engineering project in the context of the software development lifecycle. Topics include: techniques for project planning (budgeting and scheduling), controlling (including quality assurance and configuration management), organizing, staffing, and directing a software project (leadership and motivation); and contemporary issues in management. Prerequisite: CSC 131. Graded: Graded Student. Units: 3.0
CSC 174. Advanced Database Management Systems. Enhanced Entity-Relationship (EER) modeling; relational database design based on EER; SQL views; integrity constraints and triggers; stored procedures and functions; database programming techniques; query processing and optimization; transactions concurrency and recovery techniques; relational decomposition and normalization algorithms; database schema and data security. Prerequisite: CSC 131, CSC 134. Graded: Graded Student. Units: 3.0
CSC 176. Database Architecture and Optimization. Advanced object-relational systems, advanced catalog systems, security mechanisms, distributed database processing, advanced schema design-partitioning, introduction to data warehousing and data mining, materialized views, Internet technologies, parallel query processing, system utilities, database tuning, DBA tools and techniques. Prerequisite: CSC 174. Graded: Graded Student. Units: 3.0
CSC 177. Data Warehousing and Data Mining. Data warehousing involves data preprocessing, data integration, and providing on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data, which facilitates effective data mining. Data mining is the automated extraction of hidden predictive information from databases. Data mining applies concepts and techniques from the fields of databases, machine learning, algorithms, information retrieval, and statistics. Topics include: data warehousing, association analysis, classification, clustering, numeric prediction, and selected advanced data mining topics. Prerequisite: CSC 134 and STAT 50 or ENGR 115. Graded: Graded Student. Units: 3.0
CSC 179. Software Testing and Quality Assurance. Testing, verification, validation, and control of real-time and non-real-time software systems in the context of a software development lifecycle. Topics include: unit, integration and system testing; verification and validation (V&V), quality assurance, metrics, and configuration management. Prerequisite: CSC 131. Graded: Graded Student. Units: 3.0
CSC 180. Intelligent Systems. Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and two-player game-tree search will be covered in depth. Knowledge representation, pattern recognition, hybrid approaches, and handling uncertainty will also be discussed. Prerequisite: MATH 26B or MATH 31; STAT 50 or ENGR 115; CSC 130 and CSC 135. Graded: Graded Student. Units: 3.0
CSC 190. Senior Project: Part I. First of a two-course sequence in which student teams undertake a project to develop and deliver a software product. Approved project sponsors must be from industry, government, a non-profit organization, or other area. Teams apply software engineering principles in the preparation of a software proposal, a project management plan and a software requirements specification. All technical work is published using guidelines modeled after IEEE documentation standards. Oral and written reports are required. Lecture one hour, laboratory three hours. Prerequisite: Senior status, completion of CSC 130, CSC 131 and four additional 3-unit CSC upper-division courses that fulfill the major requirements (excluding CSC 192-195, 198, 199), and (GWAR Certification before Fall 09, or WPJ score of 70+, or at least a C- in ENGL 109M/W). Graded: Graded Student. Units: 2.0
CSC 191. Senior Project-Part II. Continuation of the group project begun in CSC 190. Teams apply software engineering principles to the design, implementation and testing of their software product. All technical work is published using guidelines modeled after IEEE documentation standards along with an appropriate user manual. Oral and written reports are required. Senior project is completed with the successful delivery, installation and demonstration of the software along with all approved documentation. Lecture one hour, laboratory three hours. Prerequisite: CSC 190. Graded: Graded Student. Units: 2.0
CSC 192. Career Planning. Designed to help students learn more about the labor market and opportunities in the Computer Science field. Students will examine their interests, consider their goals, and learn how to conduct an effective proactive job search. Strategies for long term career growth will be identified. Prerequisite: CSC 130 and three additional upper-division courses that fulfill major requirements with a C- grade or better (excluding CSC 190-195, CSC 198, and CSC 199). Graded: Credit / No Credit. Units: 1.0
CSC 194. Computer Science Seminar. Series of weekly seminars on Computer Science topics. These topics cover subjects not normally taught in the course of a school year and they range from the very theoretical in Computer Science through applications to presentations by industry on working conditions, real world environment and job opportunities. Note: May be repeated for credit. Prerequisite: Upper division or graduate status in CSC. Graded: Graded Student. Units: 1.0
CSC 195. Fieldwork in Computer Science. Directed observations and work experience in computer science with firms in the industry or public agencies. Supervision is provided by the instructional staff and the cooperating agencies. Note: Faculty approval required. May be repeated for credit. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 4.0.
CSC 195A. Professional Practice. Supervised employment in a professional engineering or computer science environment. Placement arranged through the Career Center. Note: Requires satisfactory completion of the work assignment and a written report. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 12.0.
CSC 195B. Professional Practice. Supervised employment in a professional engineering or computer science environment. Placement arranged through the Career Center. Note: Requires satisfactory completion of the work assignment and a written report. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 12.0.
CSC 196U. Parallel Programming with GPUs. Parallel programming with emphasis on developing Graphics Processing Unit (GPU) computing applications. GPU architecture and programming model, mapping computations to parallel hardware, parallel computation patterns, parallel programming optimization techniques, application case studies. Prerequisite: CSC 60, CSC 130, CSC 137; and either MATH 30 or MATH 26A Graded: Graded Student. Units: 3.0
CSC 198. Co-Curricular Activities in Computer Science. Students will serve in leadership roles in computer science activities, provide tutoring or technical assistance in labs, assist instructors in grading coursework, or assist in other activities related to the subject matter and concerns of the department. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 199. Special Problems. Individual projects or directed reading in specified topics in computer science. Note: Open only to students who appear competent to carry on individual work; approval of faculty supervisor and advisor required. May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 201. Programming Language Principles. Notations for the specification of programming language syntax and semantics; attribute, translational, operational, axiomatic, algebraic, denotational, and action semantics. Applications of programming language syntax and programming language semantics. Use of meta languages to generate executable language definitions for language implementation, program transformation, program property analysis, and rapid software prototyping. Principles of logic, functional, and object-oriented programming languages. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 204. Data Models for Database Management Systems. Database management system (DBMS) architecture; database file organizations and access methods; the relational model and relational algebra; SQL query language; introduction to query optimization; concurrent transaction processing and backup and recovery; applications using embedded SQL, object types, and stored procedures; database analysis and design notations: EER, UML, and XML; web database environments; database security and administration throughout course. Note: Not intended for students who have completed CSC 174. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 205. Computer Systems Structure. Overview of computer systems organization and design. Concepts of instruction set architecture, interactions of hardware-software interface, principles of performance analysis, processor design, instruction level parallelism, survey of contemporary architectures, hierarchical memory design and analysis, interfacing I/O devices, parallel processing and multiprocessing, and introduction to EDA tools and methodologies for computer systems design and verification. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 206. Algorithms And Paradigms. Design and analysis of algorithms. Classical design paradigms including greedy, divide-and-conquer, dynamic programming, and backtracking algorithmic methods. Alternative paradigms of computing including parallel and numerical approaches. Theoretical limits of computation. Selected additional topics such as genetic, approximation, and probabilistic algorithms. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 209. Research Methodology. Research methodology, problem formulation, and problem solving. Orientation to the requirements for Master's Thesis or Project. Presentations on various research topics. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering, completion of at least 12 units of 200-level courses in Computer Science, and (GWAR Certification before Fall 09, or WPJ score of 70+, or at least a C- in ENGL 109M/W). Graded: Credit / No Credit. Units: 1.0
CSC 212. Bioinformatics: Data Integration and Algorithms. The application of information technology and computer science to biological problems, in particular to biomedical science issues involving genetic sequences. Algorithms and their applications to DNA sequencing and protein database search; tools and techniques for data integration to transform genetic sequencing data into comprehensible information to study biological processes. Prerequisite: CSC 130, STAT 50, and graduate status; BIO 10 recommended. Graded: Graded Student. Units: 3.0
CSC 214. Knowledge-Based Systems. Historical perspective of knowledge-based systems and their relationship to artificial intelligence. Concepts of knowledge representation and automated reasoning. Survey of expert systems in a variety of applications in engineering and other fields. Implementation of expert systems and expert system shells. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 215. Artificial Intelligence. Nature of intelligence and possibility of its realization on digital computers via algorithmic and heuristic programming methods. Knowledge representation. Search procedures. Problem-solving paradigms and simulation of cognitive processes. Machine learning. Natural language understanding, expert systems, and knowledge engineering. Image understanding. Future of artificial intelligence and limits of machine intelligence. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 219. Machine Learning. Introduction to major paradigms and methods of machine learning. Inductive learning, explanation-based learning, classifier systems and genetic algorithms, analogical reasoning, case-based learning, connectionist learning, data driven approaches to empirical discovery, and basis of learning theory. Focus is on representative systems that have been built. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 230. Software System Engineering. Integration of managerial and technical activities in system engineering that control the cost, schedule, and technical achievement of the developing software system. Application of the principles, activities, tasks and procedures of system engineering and software engineering to the development of a software system. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering; or Computer Engineering and CSC 131. Graded: Graded Student. Units: 3.0
CSC 231. Software Engineering Metrics. Software quality and quantity metrics in software engineering. Measurement theory and metrics. Metrics include management metrics, indirect and direct metrics and predictive metrics. Uses of metrics include software cost and schedule estimates, model calibration, and software productivity measurements. Metrics techniques include the Goal-Question-Metric approach, COCOMO, and function point analysis. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 232. Software Requirements Analysis and Design. Software engineering requirements including elicitation, analysis, specification, verification and management. Emphasizes IEEE software engineering requirements and standards and the concept of operations (ConOps) document. Techniques include structured analysis, use cases and object-oriented analysis. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 233. Advanced Software Engineering Project Management. Advanced methods and procedures for managing a software development project. Includes project planning, scheduling, and cost estimation, project organizational types, staffing and training considerations, leading and motivating computer personnel, and methods for measuring and controlling a project. Emphasizes IEEE software engineering management standards and keys to project success. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 234. Software Verification and Validation. Verification and validation (V & V) techniques to identify and resolve software problems and high-risk issues early in the software lifecycle. Application of V & V to all phases of the lifecycle process. Includes planning and reporting on the V & V effort. Topics also include software quality assurance and software testing. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering; or Computer Engineering and CSC 131. Graded: Graded Student. Units: 3.0
CSC 235. Software Architecture. Software architecture styles. Concepts and activities for software architecture design. Notations, models, and specification languages for software architecture design. Engineering discipline and guidance for software architecture design. Techniques, methods, tools for designing, building, analyzing, and evaluating software architecture. Object-oriented approach for software architecture design. Architecture-based software development. Management of software architecture design. Reuse of software architecture design. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 236. Formal Methods in Secure Software Engineering. Basic concepts of formal methods in secure software engineering; formal methods based software development models and methodologies; formal methods for software system specification, modeling, analysis, verification, information assurance and security; systems and tools for the application of formal methods in secure software engineering; advances of formal methods in secure software engineering. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 237. Microprocessor Systems Architecture. Microprocessor/microcomputer architecture and hardware/software interfacing design. RISC v. CISC architecture in-depth, case studies of several popular commercial advanced 32-bit microprocessors. Microcomputer firmware architecture is discussed and illustrated with detailed examples. Term project in which students specify, design and build the hardware and firmware of a computer system. Prerequisite: CSC 205. Graded: Graded Student. Units: 3.0
CSC 238. Human-Computer Interface Design. Issues involved in design of interaction between people and computers. Insight and experience in key issues of HCI design. Emphasis on identifying issues and tradeoffs in interaction design. Development and evaluation of alternative solutions to design problems. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 239. Advanced Operating Systems Principles and Design. Advanced concepts of concurrent processes, concurrent programming and operating systems. Virtual memory management systems, deadlock, file systems, operating system performance measurement and evaluation. Prerequisite: CSC 205. Graded: Graded Student. Units: 3.0
CSC 242. Computer-Aided Systems Design and Verification. Design and verification methodology using hardware description and verification languages (HDVLs). Advances in IC chip design; introduction to HDVLs such as System Verilog; HDVL language basics including data types, arrays, structures, unions, procedural blocks, tasks, functions, and interface concepts; design hierarchy; verification planning and productivity; verification infrastructure; guidelines for efficient verification of large designs; assertion-based verification; comprehensive computer-related design projects. Prerequisite: CSC 205 or CSC/EEE 273. Graded: Graded Student. Units: 3.0
CSC 244. Database System Design. Topics in the design and implementation of database management systems. Database system concepts and architectures; query compiler, query processing algorithms, logical and physical query plans, query optimization; recovery, concurrency control; transaction management in centralized database management systems and distributed database management systems. Also exploration of current research directions, issues, and results related to databases and data management. Prerequisite: CSC 174 or CSC 204. Graded: Graded Student. Units: 3.0
CSC 245. Performance Modeling and Evaluation. Performance and cost measures; software and hardware performance monitors; data reduction and evaluation; analytic and simulation models of hardware and program behavior; performance-cost trade-offs and resource allocation. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 250. Computer Security. Principles and technologies behind computer security. Introduction to encryption and decryption; security mechanisms in computer programs, operating systems, databases, and networks; administration of computer security, and legal and ethical issues. Prerequisite: Fully classified graduate standing in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 251. Principles of Compiler Design. Programming language translation, lexical analysis, syntax analysis including LR, LALR, and predictive techniques. Semantic analysis including semantic specification. Code generation and optimization including control and data flow analysis. Storage management. Error detection and recovery. Prerequisite: CSC 151 or CSC 201. Graded: Graded Student. Units: 3.0
CSC 252. Cryptography Theory and Practice. Introduction to design and analysis of cryptographic systems. Symmetric cryptography: block ciphers and secure hash functions. Asymmetric cryptography: key exchange and public-key systems. Authentication and encryption in an adversarial model. Simple cryptanalysis. Protocol design and analysis. Prerequisite: Fully classified graduate status in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 253. Computer Forensics. Structured security incident investigations internal and external; emphasis on analysis of electronic evidence and proper audit; utilization of scientific aids in obtaining information from computing devices; legal electronic evidence. Prerequisite: Fully classified graduate status in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 254. Network Security. In-depth study of network security problems and discussion of potential solutions. Topics include: network vulnerabilities and attacks, secure communication, Internet security protocols and tools to defend against network attacks, network intrusion detection, and wireless network security. Survey and demonstration of software tools used for network security. Prerequisite: Fully classified graduate status in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 255. Computer Networks. Computer networking fundamentals with emphasis on higher level protocols and functions. Network design considerations, software design and layering concepts, interface design, routing and congestion control algorithms, internetworking, transport protocol design, and end-to-end communication, session and application protocols. Specific examples of commercial and international standards. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering, or a Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 258. Distributed Systems. Distributed system architectures, distributed object model, component-based design, time and global states, coordination and agreement, distributed transactions and concurrency control, replication, security, distributed multimedia systems, message passing and distributed shared memory, Web services and Service-Oriented Architecture (SOA), Grid computing. Emphasis on scalability, manageability, security, and dependability of distributed systems. Prerequisite: CSC 204 and fully classified graduate status in Computer Science, Software Engineering, or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 273. Hierarchical Digital Design Methodology. Advanced logic modeling, simulation, and synthesis techniques. Topics include modeling, simulation, and synthesis techniques, using Hardware Description Language (HDL's), Register Transfer Level (RTL) representation, high-level functional partitioning, functional verification and testing, computer-aided logic synthesis, logical verification and testing, timing and delay analysis, automated place and route process, and design with Application Specific Integrated Circuits (ASICs) and programmable logic. Prerequisite: CSC 205, CPE 64, or equivalent. Cross Listed: EEE 273; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 275. Advanced Data Communication Systems. Fundamental concepts, principles and issues of data communication systems. The ISO/OSI reference model is used as a vehicle for discussion and emphasizes the lower layer of the model. Specific topics include: motivation and objectives, layered architectures, physical layer principles and protocols, data link and medium access control principles and protocols, circuit, packet and cell switching, local area network design principles and performance comparisons, high speed networking, introduction to wide area network architectures. Typical examples and standards are cited for point-to-point, satellite, packet radio and local area networks. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering, or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 280. Advanced Computer Architecture. Introduction to parallel architecture covering computer classification schemes, fine and coarse grain parallelism, processor interconnections, and performance issues of multiprocessor systems. Includes parallel and pipelined instruction execution, structure of multiprocessor systems, memory hierarchy and coherency in shared memory systems, programming issues of multiprocessor systems, arithmetic pipeline design, and design for testability. Prerequisite: CSC 205 and fully classified graduate status in Computer Science or Software Engineering. Cross Listed: EEE 280; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 288. Special Topics in Computer Science - Software Engineering. Contemporary topics in computer science will be offered as needed. Topics offered: Graded: Graded Student. Units: 3.0
CSC 295. Fieldwork. Directed observations and work experience in computer science with firms in the industry or public agencies. Supervision is provided by the instructional staff and the cooperating agencies. Note: Faculty approval required. May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 299. Special Problems. Any properly qualified student who wishes to pursue a problem of his own choice may do so if the proposed subject is acceptable to the member of the staff with whom he/she works and to his/her advisor. Note: May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 500. Master's Thesis. Completion of a thesis approved for the Master's degree. Note: May be repeated for credit. Prerequisite: CSC 209; advanced to candidacy. Graded: Thesis in Progress. Units: 1.0 - 5.0.
CSC 502. Master's Project. Completion of a project approved for the Master's degree. Prerequisite: CSC 209; advanced to candidacy. Graded: Thesis in Progress. Units: 1.0 - 2.0.
CSC 1A. Introduction to Computer Science for Advanced Students. Same material as covered in CSC 1 but intended for students who already have significant knowledge of the fundamental concepts of computers and/or computer programming. Students must attend the orientation session during the first class meeting. Two placement tests, one on programming and one on concepts, will be scheduled and used to determine student's prior preparation. Note: May be taken by those wishing to obtain credit by examination. Please refer to examination credit guidelines in the University catalog. Not open to students who have received credit for CSC 1 or MIS 5. Graded: Credit / No Credit. Units: 3.0
CSC 5. Personal Computing. Introduction to the role and use of personal computers, emphasizing the use and relevancy of common software for word processing, database, spreadsheet analysis, graphics, and communications. Examination of the personal computing milieu and the applications environment. Lecture two hours, technical activity and laboratory two hours. Graded: Graded Student. Units: 3.0
CSC 8. Introduction to Internet Technologies. Internet applications such as email, instant messaging, file transfer, secure communications, the web, and related tools and protocols. Basics of the web-publishing process and methods used to locate authoritative information on the internet. Webpage design, internet security and emerging technologies on the internet. Prerequisite: Basic computer literacy recommended. Graded: Graded Student. Units: 3.0
CSC 8S. Self-Paced Introduction to Internet Technologies. Covers the same material as CSC 8, Introduction to Internet Technologies. Provided by electronic means in addition to meetings for orientation, laboratory demonstrations, and tests. Internet applications such as Email, instant messaging, file transfer, secure communications, the Web, and related tools and protocols. Basics of the Web-publishing process and methods used to locate authoritative information on the Internet. Webpage design, Internet security and emerging/declining technologies on the Internet. Prerequisite: Basic computer literacy recommended. Graded: Credit / No Credit. Units: 3.0
CSC 10. Introduction to Programming Logic. Introduction to computer science with an emphasis on programming concepts and methodology. Intended to assist students with little or no programming experience to understand the basic principles of programming logic. Topics include computer hardware and software, problem solving and algorithm development, flow of control, modular design using techniques that can be applied to common programming languages. Lecture two hours, technical activity and laboratory two hours. Prerequisite: Math 11 or equivalent Graded: Graded Student. Units: 3.0
CSC 10A. Accelerated Introduction to Programming Logic. Introduction to computer science with an emphasis on programming concepts, logic, and methodology: computer hardware and software, problem solving and algorithm development, flow of control, and modular design. Accelerated and more in-depth study of programming concepts than CSC 10. Intended for computer science and computer engineering majors who have little or no programming experience. Lecture two house, technical activity and laboratory, two hours. Not open to students who have received credit for CSC 10. Preqrequisite: Math 11 Graded: Graded Student. Units: 3.0
CSC 15. Programming Concepts and Methodology I. Programming concepts using an object-oriented programming language. Introduction to methodologies for program design, development, testing, and documentation. Topics include program design, algorithm design, number systems, classes and objects, methods (functions), control structures, arrays, and interactive input/output. Lecture two hours, technical activity and laboratory two hours. Prerequisite: CSC 10, or programming experience in a high-level programming language. Graded: Graded Student. Units: 3.0
CSC 15W. Programming Methodology I Workshop. Designed to assist students in developing a more thorough understanding of programming methodology and problem solving techniques. Activity two hours. Corequisite: CSC 15. Graded: Credit / No Credit. Units: 1.0
CSC 20. Programming Concepts and Methodology II. Application of object-oriented techniques for systematic problem analysis and specification, design, coding, testing, and documentation. Semester-long project approach emphasizing larger programs. Managing program complexity using abstraction. Introduction to algorithm analysis and Big-O notation. Advanced language features. Basic sorting and searching algorithms. Recursion. Lecture two hours, technical activity and laboratory two hours. Prerequisite: CSC 15. Graded: Graded Student. Units: 3.0
CSC 21. First Year Seminar: Becoming an Educated Person. Introduction to the nature and possible meanings of higher education, and the functions and resources of the University. Designed to help students develop and exercise fundamental academic success strategies and to improve their basic learning skills. Development of information competence and computer literacy. Students interact with fellow students and the seminar leader to build a community of academic and personal support. Graded: Graded Student. Units: 3.0
CSC 22. Visual Programming in BASIC. Computer Programming using Visual Basic. Topics include the Visual Basic Integrated Development Environment, visual user interface development, concepts of object-oriented programming, variables, control structures, arrays, functions, subroutines, strings, files, and database access. Applications will be created in areas such as business, games, and multimedia. Lecture two hours, technical activity and laboratory two hours. Prerequisite: Intermediate Algebra. Graded: Graded Student. Units: 3.0
CSC 25. Introduction to C Programming. Topics include: types, operators, control structures, input/output, arithmetic operations, the C library and preprocessor, functions and parameters, arrays, strings, pointers, and structures. Program design and style will be emphasized. Students will use a compiler. Note: Students with significant programming experience should take CSC 60 rather than CSC 25. Lecture two hours, technical activity and laboratory two hours. Graded: Graded Student. Units: 3.0
CSC 28. Discrete Structures for Computer Science. Introduction to the essential discrete structures used in Computer Science, with emphasis on their applications. Topics include: counting methods, elementary formal logic and set theory, recursive programming, digital logic and combinational circuits, real number representation, regular expressions, finite automata. Prerequisite: MATH 26A or MATH 29; and CSC 20; CSC 20 may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 35. Introduction to Computer Architecture. Internal representation of numeric and non-numeric data, assembly level machine architecture, addressing modes, subroutine linkage, polled input/output, interrupts, high-level language interfacing, macros and pseudo operations. Lecture two hours, technical activity and laboratory two hours. Prerequisite: CSC 15. Graded: Graded Student. Units: 3.0
CSC 60. Introduction to Systems Programming in UNIX. Features of the C language commonly used in systems programming, application to systems programming in a UNIX environment. Topics include C preprocessor macros, I/O, bit-manipulation facilities, timesharing system concepts, file permissions, shell script programming, make files and source code control, basic system calls like fork and exec, pointers and dynamic memory allocation, libraries and relocation and linking concepts including assembler handling of symbol tables. Prior knowledge of a C like programming language is presumed. Prerequisite: CSC 20, CSC 35. Graded: Graded Student. Units: 3.0
CSC 80. Web Development with HTML/XHTML and Tools. Hands-on course covering the processes and guidelines for creating and customizing interactive webpages. Emphasis on use of HTML/XHTML, CSS, and tools to create webpages. HTML/XHTML syntax to create, format, and link documents. Use of tables, graphics, styles, forms, multimedia, and other features in webpages. Effective webpage design and website organization. Lecture two hours and technical activity and laboratory two hours. Prerequisite: CSC 8 or equivalent computer and Internet experience. Graded: Graded Student. Units: 3.0
CSC 114. Digital Evidence and Computer Crime. Topics include technology and law, computer basics for digital investigations, network basics for digital investigations, investigation of computer crime, and the handling of digital evidence. Prerequisite: CSC 1 and CSC 8 or CSC 8S or CSC 80; or instructor permission. Graded: Graded Student. Units: 3.0
CSC 115. Internet Security. Internet security problems and discussion of potential solutions: network vulnerabilities and attacks, secure communication and use of cryptography, Internet security protocols and tools to defend against network attacks, network intrusion detection, and wireless network security. Survey and use of software tools for network security. Prerequisite: CSC 1 and CSC 8 or CSC 8S or CSC 80; or instructor permission. Graded: Graded Student. Units: 3.0
CSC 116. Cyber Forensics. Fundamentals of computer forensics and cyber-crime scene analysis including laws, regulations, and international standards; formal methodology for conducting security incident investigations; categories of electronic evidence. Projects involving digital forensic tools. Prerequisite: CSC 1 and CSC 8 or CSC 8S or CSC 80; or instructor permission. Graded: Graded Student. Units: 3.0
CSC 120. Web Server Administration. Managing and maintaining Web servers. Administering open source and commercial Web servers, Web hosting alternatives, professional standards and practices of website hosting, Web server installation, configuration, management, and security. Selecting and using technologies to support professional quality websites. Lecture two hours; technical activity and laboratory two hours. Prerequisite: CSC 80. Graded: Graded Student. Units: 3.0
CSC 121. Client-Side Web Programming. Client-side Web programming using JavaScript, DHTML, and client-side Web technologies. Event-driven programming, dynamic data types, control structures, and introduction to object-oriented programming and program design. Use of cookies and built-in objects. Validation and processing of forms. Basic features of the Document Object Model. Prerequisite: CSC 22, CSC 80 or equivalents; OR PCSC/CSC Major, CSC 60, CSC 130. Graded: Graded Student. Units: 3.0
CSC 122. Web Database Applications. Fundamentals of building effective database-driven web applications. Particular emphasis on database access via web interfaces. Introduction to database management systems, their structure and usage, SQL, integrating web applications with databases, design and implementation of dynamic web database applications. Prerequisite: CSC 10 or CSC 22; and CSC 80 or equivalent. Graded: Graded Student. Units: 3.0
CSC 123. Web Application Development. Developing multi-tiered enterprise-level Web applications. Standards of Web services and other current Web technologies, including XML, AJAX, and server-side programming such as Java EE, .NET, or PHP. Development of Web applications such as those used for e-commerce, e-business, and content management. Format consists of two 1.5 hour lecture/lab sessions per week. Prerequisite: CSC 22, CSC 121, CSC 122, or equivalent experience; OR PCSC/CSC Major, CSC 60, CSC 134. Graded: Graded Student. Units: 3.0
CSC 126. 3D Computer Modeling. Techniques and processes to create 3D computer models and environments. Exercises, assignments and projects designed to build skill levels with 3D computer modeling tools. Demonstrations and workshops in the use of 3D computer modeling software. Critiques, discussion and presentations to develop students' conceptual grasp of 3D computer modeling and virtual reality environments. Example applications in art/new media and computer gaming. Note: May be taken twice for credit. Prerequisite: CSC 10 or ART 97 or equivalent. Cross-listed as ART 142. Graded: Graded Student. Units: 3.0
CSC 127. 3D Computer Animation. Creative skills and techniques for animating 3D computer-modeled objects/environments. Topics include animation techniques; keyframing and interpolation; deformation and morphing; path control; skeletal animation; model rigging and skinning; forward and inverse kinematics, constraints and IK solvers; particle systems; fluid, cloth, hair, and fur simulation; shape keys; and soft body animation. Emphasis on both skill development and creative application of modeling and animation techniques. Includes demos, in class and homework excercises, and self directed projects. Prerequisite: ART 142 or CSC 126. Cross-listed: ART 143. Graded: Graded Student. Units: 3.0
CSC 130. Data Structures and Algorithm Analysis. Specification, implementation, and manipulation of complex data structures: linear/lists, stacks, queues, trees, sets, and graphs. Design and analysis of algorithms. Recursion and stack-based memory management. Advanced searching and sorting. NP-completeness. Prerequisite: CSC 20, CSC 28; CSC 28 may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 131. Computer Software Engineering. Principles of Software Engineering covering the software development life cycle, including software requirements engineering (elicitation, modeling, analysis and specification), software design, software implementation and testing. Main topics include various software development process models, method and techniques for specifying requirements, architectural and detailed design specification, prototyping, top-down and bottom-up software implementation and testing. Topics also include project management, project documentation and the development of communication skills through written documentation and oral presentation. Prerequisite: CSC 130; may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 132. Computing Theory. Introduction to computing theory with examples and applications. Automata and formal languages; language recognition and generation; language hierarchy; deterministic and non-deterministic automata; regular expressions; pushdown automata and context-free grammars; properties of regular and context-free languages; Turing machines; computable and noncomputable functions; decidability. Prerequisite: CSC 28, CSC 130; CSC 130 may be taken concurrently. Graded: Graded Student. Units: 3.0
CSC 133. Object-Oriented Computer Graphics Programming. Introduction to computer graphics and advanced topics in object-oriented (OO) programming. The OO paradigm is used throughout, utilizing computer graphics as the vehicle for solidifying basic OO concepts, studying the implementation of event-driven systems, and for developing a thorough understanding of advanced OO concepts such as inheritance and polymorphism. Topics include fundamental concepts of object-oriented programming, software design patterns, graphic devices, line and surface drawing, simple 2D and 3D representation, and use of User Interface components. Prerequisite: CSC 130, CSC 131. Graded: Graded Student. Units: 3.0
CSC 134. Database Management Systems. Entity-Relationship (ER) model; relational model; relational database design by ER-to-relational mapping; design of applications using database technology; SQL; schema definition, constraints, and queries; relational algebra; data normalization; access methods such as indexing and hash structures; introduction to transaction processing. Prerequisite: CSC 130. Graded: Graded Student. Units: 3.0
CSC 135. Computing Theory and Programming Languages. Introduction to computing theory with examples and applications. Automata and formal languages; regular expressions; deterministic and non-deterministic finite automata; pumping lemma for regular languages; push-down automata and context-free grammars; language recognition; parsing techniques including recursive descent; Turing machines; computable and non-computable functions. Design and implementation of selected features of programming languages. Functional and logic programming paradigms. Prerequisite: CSC 28, CSC 35, CSC 130. Graded: Graded Student. Units: 3.0
CSC 136. Programming Languages. Evolution and characteristics of programming languages. Scripting, procedural, object-oriented, functional and logic paradigms. Language specification; interpreters and compilers; virtual machines; parsing techniques. Design and implementation of selected features of programming languages. Programming languages used in the development of intelligent systems, with introduction to Artificial Intelligence. Trends in programming languages. Prerequisite: CSC 35, CSC 132. Graded: Graded Student. Units: 3.0
CSC 137. Computer Organization. Introduction to computer organization and architecture. Combinational devices, sequential and synchronized circuits, memory organization, CPU architecture and organization, bus structures, input/output, interrupts, DMA, memory hierarchy, introduction to instruction level parallelism, multithreading, and multiprocessing. Exposure to hardware security issues. Prerequisite: CSC 28, CSC 35, CSC 130 Graded: Graded Student. Units: 3.0
CSC 138. Computer Networks and Internets. Overview of the fundamentals of computer networks and connections between networks, from the physical layer up through peer-to-peer communications at the application level. Lower layer characteristics including serial vs. parallel, capacity issues, high-speed connections, LAN framing and error handling. LAN vs. WAN characteristics, network architecture and the ISO network model. Internetworking components including LANs, repeaters, routers, bridges, and gateways. Internet addresses, TCP/IP, and the Domain Name System. Common Internet client/server application protocols including SMTP and FTP. Client/Server programming involving sockets. World Wide Web characteristics including CGI and HTTP protocol, Web pages, Web browsers, Web servers, and Applets. Introduction to advanced Web issues such as Web security, search engine operations, and Web database operations. Prerequisite: CSC 35, CSC 60, CSC 130. Cross Listed: CPE 138; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 139. Operating System Principles. Contemporary operating system organization and structure. Topics include: process and thread, concurrency, scheduling, interprocess communication and synchronization, deadlock, real and virtual memory management, device management, file systems, network and distributed operating systems, security and protection. Prerequisite: CSC 60, CSC 137; or equivalents. Graded: Graded Student. Units: 3.0
CSC 140. Advanced Algorithm Design and Analysis. Algorithm design using dynamic programming, randomization and greedy methods. Analysis using recurrence relations and amortization. String and network-flow algorithms. NP-completeness, reductions, and approximation algorithms. Review of divide-and-conquer design and asymptotic notation. Prerequisite: CSC 130. Graded: Graded Student. Units: 3.0
CSC 142. Advanced Computer Organization. Design and performance issues of computers. Instruction set architecture, computer arithmetic, processor design, survey of contemporary architectures, interfacing I/O devices, hierarchal memory design and analysis, parallelism and multiprocessing, distributed systems, techniques for enhancing performance, and an introduction to EDA tools for design and verification of computers. Design and simulation of a microcomputer in an HDL. Note: Open to students with full CSC or CPE major standing only. Prerequisite: CSC 137 or CPE 166 and CPE 185. Cross Listed: CPE 142; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 148. Modeling and Experimental Design. Modeling and simulation techniques; Monte Carlo methods; queuing theory; model formulation, data collection and analysis, experimental design; model verification and validation. Prerequisite: MATH 26B or MATH 31, STAT 50 or ENGR 115, and proficiency in a programming language. Graded: Graded Student. Units: 3.0
CSC 151. Compiler Construction. Practical approach to compiler design and implementation. Organization of a compiler, algorithms for lexical, syntactic and semantic analysis, recursive descent and/or LALR parsing, organization of symbol tables, error detection and recovery, object code generation. Modular design will be emphasized. Prerequisite: CSC 135 Graded: Graded Student. Units: 3.0
CSC 152. Cryptography. Introduction to design and analysis of cryptographic systems. Symmetric cryptography: Block ciphers and secure hash functions. Asymmetric cryptography: Key exchange and public-key systems. Authentication and encryption in an adversarial model. Simple cryptanalysis. Protocol design and analysis. Prerequisite: CSC 60, CSC 130; and STAT 50 or ENGR 115 Graded: Graded Student. Units: 3.0
CSC 153. Computer Forensics Principles and Practices. Fundamentals of computer forensics, cyber-crime scene analysis and electronic discovery. Technical and formal methodology for conducting security incident investigations; file systems and storage analysis, data hiding techniques, network forensics; projects involving using, understanding, and designing digital forensics tools; anti-forensics; legal issues and standards. Prerequisite: CSC 138 or CPE 138. Graded: Graded Student. Units: 3.0
CSC 154. Computer System Attacks and Countermeasures. Introduction to network and computer security with a focus on how intruders gain access to systems, how they escalate privileges, and what steps can be taken to secure a system against such attacks. Topics include: Perimeter defenses, intrusion detection systems, social engineering, distributed denial of service attacks, buffer overflows, race conditions, trojans, and viruses. Prerequisite: CSC 138 or CPE 138. Graded: Graded Student. Units: 3.0
CSC 155. Advanced Computer Graphics. Modeling, viewing, and rendering techniques in 3D computer graphics systems. Topics include modeling systems and data structures; polygonal and parametric surface representation; transformations, windowing, clipping and projections in 3D; hidden surface removal algorithms; techniques for realism such as shading, shadows, highlights, and texture; fractals and procedural models; introduction to animation; hardware support for computer graphics; and the application of graphics principles to virtual reality systems and 3D games. Prerequisite: CSC 133. Graded: Graded Student. Units: 3.0
CSC 159. Operating System Pragmatics. Application of operating system principles to the design and implementation of a multitasking operating system. Students will write an operating system for a computer platform. Topics include: scheduling of processes, control and allocation of computer resources, and user interfacing. Prerequisite: CSC 139. Cross Listed: CPE 159; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 165. Computer Game Architecture and Implementation. Architecture and implementation of computer game systems. Topics include game engine architecture; screen management and rendering control; geometric models; algorithms and data structures for spatial partitioning, occlusion, and collision detection; real-time interactive 3D graphics and animation techniques; behavioral control for autonomous characters; simulation of physical phenomena; sound and music in games; optimization techniques; multi-player games and networking; game development tools and environments. Substantial programming and project work. Prerequisite: CSC 130; CSC 133; MATH 26A or MATH 30; PHYS 5A or PHYS 11A. Graded: Graded Student. Units: 3.0
CSC 170. Software Requirements and Specification. Analysis and specification of functional and non-functional requirements for real-time and non-real-time software systems in the context of a software development lifecycle. Determining customer and user software requirements and ensuring that specifications are correct, complete, and testable. Includes modeling techniques, methods for representing real-time requirements, and the use of Computer-Aided Software Engineering (CASE) tools to illustrate analysis concepts. Prerequisite: CSC 131. Graded: Graded Student. Units: 3.0
CSC 171. Software Engineering Project Management. Fundamental issues in the management and economics of a software engineering project in the context of the software development lifecycle. Topics include: techniques for project planning (budgeting and scheduling), controlling (including quality assurance and configuration management), organizing, staffing, and directing a software project (leadership and motivation); and contemporary issues in management. Prerequisite: CSC 131. Graded: Graded Student. Units: 3.0
CSC 174. Advanced Database Management Systems. Enhanced Entity-Relationship (EER) modeling; relational database design based on EER; SQL views; integrity constraints and triggers; stored procedures and functions; database programming techniques; query processing and optimization; transactions concurrency and recovery techniques; relational decomposition and normalization algorithms; database schema and data security. Prerequisite: CSC 131, CSC 134. Graded: Graded Student. Units: 3.0
CSC 176. Database Architecture and Optimization. Advanced object-relational systems, advanced catalog systems, security mechanisms, distributed database processing, advanced schema design-partitioning, introduction to data warehousing and data mining, materialized views, Internet technologies, parallel query processing, system utilities, database tuning, DBA tools and techniques. Prerequisite: CSC 174. Graded: Graded Student. Units: 3.0
CSC 177. Data Warehousing and Data Mining. Data warehousing involves data preprocessing, data integration, and providing on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data, which facilitates effective data mining. Data mining is the automated extraction of hidden predictive information from databases. Data mining applies concepts and techniques from the fields of databases, machine learning, algorithms, information retrieval, and statistics. Topics include: data warehousing, association analysis, classification, clustering, numeric prediction, and selected advanced data mining topics. Prerequisite: CSC 134 and STAT 50 or ENGR 115. Graded: Graded Student. Units: 3.0
CSC 179. Software Testing and Quality Assurance. Testing, verification, validation, and control of real-time and non-real-time software systems in the context of a software development lifecycle. Topics include: unit, integration and system testing; verification and validation (V&V), quality assurance, metrics, and configuration management. Prerequisite: CSC 131. Graded: Graded Student. Units: 3.0
CSC 180. Intelligent Systems. Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and two-player game-tree search will be covered in depth. Knowledge representation, pattern recognition, hybrid approaches, and handling uncertainty will also be discussed. Prerequisite: MATH 26B or MATH 31; STAT 50 or ENGR 115; CSC 130 and CSC 135. Graded: Graded Student. Units: 3.0
CSC 190. Senior Project: Part I. First of a two-course sequence in which student teams undertake a project to develop and deliver a software product. Approved project sponsors must be from industry, government, a non-profit organization, or other area. Teams apply software engineering principles in the preparation of a software proposal, a project management plan and a software requirements specification. All technical work is published using guidelines modeled after IEEE documentation standards. Oral and written reports are required. Lecture one hour, laboratory three hours. Prerequisite: Senior status, completion of CSC 130, CSC 131 and four additional 3-unit CSC upper-division courses that fulfill the major requirements (excluding CSC 192-195, 198, 199), and (GWAR Certification before Fall 09, or WPJ score of 70+, or at least a C- in ENGL 109M/W). Graded: Graded Student. Units: 2.0
CSC 191. Senior Project-Part II. Continuation of the group project begun in CSC 190. Teams apply software engineering principles to the design, implementation and testing of their software product. All technical work is published using guidelines modeled after IEEE documentation standards along with an appropriate user manual. Oral and written reports are required. Senior project is completed with the successful delivery, installation and demonstration of the software along with all approved documentation. Lecture one hour, laboratory three hours. Prerequisite: CSC 190. Graded: Graded Student. Units: 2.0
CSC 192. Career Planning. Designed to help students learn more about the labor market and opportunities in the Computer Science field. Students will examine their interests, consider their goals, and learn how to conduct an effective proactive job search. Strategies for long term career growth will be identified. Prerequisite: CSC 130 and three additional upper-division courses that fulfill major requirements with a C- grade or better (excluding CSC 190-195, CSC 198, and CSC 199). Graded: Credit / No Credit. Units: 1.0
CSC 194. Computer Science Seminar. Series of weekly seminars on Computer Science topics. These topics cover subjects not normally taught in the course of a school year and they range from the very theoretical in Computer Science through applications to presentations by industry on working conditions, real world environment and job opportunities. Note: May be repeated for credit. Prerequisite: Upper division or graduate status in CSC. Graded: Graded Student. Units: 1.0
CSC 195. Fieldwork in Computer Science. Directed observations and work experience in computer science with firms in the industry or public agencies. Supervision is provided by the instructional staff and the cooperating agencies. Note: Faculty approval required. May be repeated for credit. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 4.0.
CSC 195A. Professional Practice. Supervised employment in a professional engineering or computer science environment. Placement arranged through the Career Center. Note: Requires satisfactory completion of the work assignment and a written report. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 12.0.
CSC 195B. Professional Practice. Supervised employment in a professional engineering or computer science environment. Placement arranged through the Career Center. Note: Requires satisfactory completion of the work assignment and a written report. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 12.0.
CSC 196U. Parallel Programming with GPUs. Parallel programming with emphasis on developing Graphics Processing Unit (GPU) computing applications. GPU architecture and programming model, mapping computations to parallel hardware, parallel computation patterns, parallel programming optimization techniques, application case studies. Prerequisite: CSC 60, CSC 130, CSC 137; and either MATH 30 or MATH 26A Graded: Graded Student. Units: 3.0
CSC 198. Co-Curricular Activities in Computer Science. Students will serve in leadership roles in computer science activities, provide tutoring or technical assistance in labs, assist instructors in grading coursework, or assist in other activities related to the subject matter and concerns of the department. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 199. Special Problems. Individual projects or directed reading in specified topics in computer science. Note: Open only to students who appear competent to carry on individual work; approval of faculty supervisor and advisor required. May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 201. Programming Language Principles. Notations for the specification of programming language syntax and semantics; attribute, translational, operational, axiomatic, algebraic, denotational, and action semantics. Applications of programming language syntax and programming language semantics. Use of meta languages to generate executable language definitions for language implementation, program transformation, program property analysis, and rapid software prototyping. Principles of logic, functional, and object-oriented programming languages. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 204. Data Models for Database Management Systems. Database management system (DBMS) architecture; database file organizations and access methods; the relational model and relational algebra; SQL query language; introduction to query optimization; concurrent transaction processing and backup and recovery; applications using embedded SQL, object types, and stored procedures; database analysis and design notations: EER, UML, and XML; web database environments; database security and administration throughout course. Note: Not intended for students who have completed CSC 174. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 205. Computer Systems Structure. Overview of computer systems organization and design. Concepts of instruction set architecture, interactions of hardware-software interface, principles of performance analysis, processor design, instruction level parallelism, survey of contemporary architectures, hierarchical memory design and analysis, interfacing I/O devices, parallel processing and multiprocessing, and introduction to EDA tools and methodologies for computer systems design and verification. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 206. Algorithms And Paradigms. Design and analysis of algorithms. Classical design paradigms including greedy, divide-and-conquer, dynamic programming, and backtracking algorithmic methods. Alternative paradigms of computing including parallel and numerical approaches. Theoretical limits of computation. Selected additional topics such as genetic, approximation, and probabilistic algorithms. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 209. Research Methodology. Research methodology, problem formulation, and problem solving. Orientation to the requirements for Master's Thesis or Project. Presentations on various research topics. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering, completion of at least 12 units of 200-level courses in Computer Science, and (GWAR Certification before Fall 09, or WPJ score of 70+, or at least a C- in ENGL 109M/W). Graded: Credit / No Credit. Units: 1.0
CSC 212. Bioinformatics: Data Integration and Algorithms. The application of information technology and computer science to biological problems, in particular to biomedical science issues involving genetic sequences. Algorithms and their applications to DNA sequencing and protein database search; tools and techniques for data integration to transform genetic sequencing data into comprehensible information to study biological processes. Prerequisite: CSC 130, STAT 50, and graduate status; BIO 10 recommended. Graded: Graded Student. Units: 3.0
CSC 214. Knowledge-Based Systems. Historical perspective of knowledge-based systems and their relationship to artificial intelligence. Concepts of knowledge representation and automated reasoning. Survey of expert systems in a variety of applications in engineering and other fields. Implementation of expert systems and expert system shells. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 215. Artificial Intelligence. Nature of intelligence and possibility of its realization on digital computers via algorithmic and heuristic programming methods. Knowledge representation. Search procedures. Problem-solving paradigms and simulation of cognitive processes. Machine learning. Natural language understanding, expert systems, and knowledge engineering. Image understanding. Future of artificial intelligence and limits of machine intelligence. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 219. Machine Learning. Introduction to major paradigms and methods of machine learning. Inductive learning, explanation-based learning, classifier systems and genetic algorithms, analogical reasoning, case-based learning, connectionist learning, data driven approaches to empirical discovery, and basis of learning theory. Focus is on representative systems that have been built. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 230. Software System Engineering. Integration of managerial and technical activities in system engineering that control the cost, schedule, and technical achievement of the developing software system. Application of the principles, activities, tasks and procedures of system engineering and software engineering to the development of a software system. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering; or Computer Engineering and CSC 131. Graded: Graded Student. Units: 3.0
CSC 231. Software Engineering Metrics. Software quality and quantity metrics in software engineering. Measurement theory and metrics. Metrics include management metrics, indirect and direct metrics and predictive metrics. Uses of metrics include software cost and schedule estimates, model calibration, and software productivity measurements. Metrics techniques include the Goal-Question-Metric approach, COCOMO, and function point analysis. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 232. Software Requirements Analysis and Design. Software engineering requirements including elicitation, analysis, specification, verification and management. Emphasizes IEEE software engineering requirements and standards and the concept of operations (ConOps) document. Techniques include structured analysis, use cases and object-oriented analysis. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 233. Advanced Software Engineering Project Management. Advanced methods and procedures for managing a software development project. Includes project planning, scheduling, and cost estimation, project organizational types, staffing and training considerations, leading and motivating computer personnel, and methods for measuring and controlling a project. Emphasizes IEEE software engineering management standards and keys to project success. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 234. Software Verification and Validation. Verification and validation (V & V) techniques to identify and resolve software problems and high-risk issues early in the software lifecycle. Application of V & V to all phases of the lifecycle process. Includes planning and reporting on the V & V effort. Topics also include software quality assurance and software testing. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering; or Computer Engineering and CSC 131. Graded: Graded Student. Units: 3.0
CSC 235. Software Architecture. Software architecture styles. Concepts and activities for software architecture design. Notations, models, and specification languages for software architecture design. Engineering discipline and guidance for software architecture design. Techniques, methods, tools for designing, building, analyzing, and evaluating software architecture. Object-oriented approach for software architecture design. Architecture-based software development. Management of software architecture design. Reuse of software architecture design. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 236. Formal Methods in Secure Software Engineering. Basic concepts of formal methods in secure software engineering; formal methods based software development models and methodologies; formal methods for software system specification, modeling, analysis, verification, information assurance and security; systems and tools for the application of formal methods in secure software engineering; advances of formal methods in secure software engineering. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 237. Microprocessor Systems Architecture. Microprocessor/microcomputer architecture and hardware/software interfacing design. RISC v. CISC architecture in-depth, case studies of several popular commercial advanced 32-bit microprocessors. Microcomputer firmware architecture is discussed and illustrated with detailed examples. Term project in which students specify, design and build the hardware and firmware of a computer system. Prerequisite: CSC 205. Graded: Graded Student. Units: 3.0
CSC 238. Human-Computer Interface Design. Issues involved in design of interaction between people and computers. Insight and experience in key issues of HCI design. Emphasis on identifying issues and tradeoffs in interaction design. Development and evaluation of alternative solutions to design problems. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 239. Advanced Operating Systems Principles and Design. Advanced concepts of concurrent processes, concurrent programming and operating systems. Virtual memory management systems, deadlock, file systems, operating system performance measurement and evaluation. Prerequisite: CSC 205. Graded: Graded Student. Units: 3.0
CSC 242. Computer-Aided Systems Design and Verification. Design and verification methodology using hardware description and verification languages (HDVLs). Advances in IC chip design; introduction to HDVLs such as System Verilog; HDVL language basics including data types, arrays, structures, unions, procedural blocks, tasks, functions, and interface concepts; design hierarchy; verification planning and productivity; verification infrastructure; guidelines for efficient verification of large designs; assertion-based verification; comprehensive computer-related design projects. Prerequisite: CSC 205 or CSC/EEE 273. Graded: Graded Student. Units: 3.0
CSC 244. Database System Design. Topics in the design and implementation of database management systems. Database system concepts and architectures; query compiler, query processing algorithms, logical and physical query plans, query optimization; recovery, concurrency control; transaction management in centralized database management systems and distributed database management systems. Also exploration of current research directions, issues, and results related to databases and data management. Prerequisite: CSC 174 or CSC 204. Graded: Graded Student. Units: 3.0
CSC 245. Performance Modeling and Evaluation. Performance and cost measures; software and hardware performance monitors; data reduction and evaluation; analytic and simulation models of hardware and program behavior; performance-cost trade-offs and resource allocation. Prerequisite: Fully classified graduate status in Computer Science or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 250. Computer Security. Principles and technologies behind computer security. Introduction to encryption and decryption; security mechanisms in computer programs, operating systems, databases, and networks; administration of computer security, and legal and ethical issues. Prerequisite: Fully classified graduate standing in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 251. Principles of Compiler Design. Programming language translation, lexical analysis, syntax analysis including LR, LALR, and predictive techniques. Semantic analysis including semantic specification. Code generation and optimization including control and data flow analysis. Storage management. Error detection and recovery. Prerequisite: CSC 151 or CSC 201. Graded: Graded Student. Units: 3.0
CSC 252. Cryptography Theory and Practice. Introduction to design and analysis of cryptographic systems. Symmetric cryptography: block ciphers and secure hash functions. Asymmetric cryptography: key exchange and public-key systems. Authentication and encryption in an adversarial model. Simple cryptanalysis. Protocol design and analysis. Prerequisite: Fully classified graduate status in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 253. Computer Forensics. Structured security incident investigations internal and external; emphasis on analysis of electronic evidence and proper audit; utilization of scientific aids in obtaining information from computing devices; legal electronic evidence. Prerequisite: Fully classified graduate status in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 254. Network Security. In-depth study of network security problems and discussion of potential solutions. Topics include: network vulnerabilities and attacks, secure communication, Internet security protocols and tools to defend against network attacks, network intrusion detection, and wireless network security. Survey and demonstration of software tools used for network security. Prerequisite: Fully classified graduate status in Computer Science, Computer Engineering, or Software Engineering. Graded: Graded Student. Units: 3.0
CSC 255. Computer Networks. Computer networking fundamentals with emphasis on higher level protocols and functions. Network design considerations, software design and layering concepts, interface design, routing and congestion control algorithms, internetworking, transport protocol design, and end-to-end communication, session and application protocols. Specific examples of commercial and international standards. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering, or a Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 258. Distributed Systems. Distributed system architectures, distributed object model, component-based design, time and global states, coordination and agreement, distributed transactions and concurrency control, replication, security, distributed multimedia systems, message passing and distributed shared memory, Web services and Service-Oriented Architecture (SOA), Grid computing. Emphasis on scalability, manageability, security, and dependability of distributed systems. Prerequisite: CSC 204 and fully classified graduate status in Computer Science, Software Engineering, or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 273. Hierarchical Digital Design Methodology. Advanced logic modeling, simulation, and synthesis techniques. Topics include modeling, simulation, and synthesis techniques, using Hardware Description Language (HDL's), Register Transfer Level (RTL) representation, high-level functional partitioning, functional verification and testing, computer-aided logic synthesis, logical verification and testing, timing and delay analysis, automated place and route process, and design with Application Specific Integrated Circuits (ASICs) and programmable logic. Prerequisite: CSC 205, CPE 64, or equivalent. Cross Listed: EEE 273; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 275. Advanced Data Communication Systems. Fundamental concepts, principles and issues of data communication systems. The ISO/OSI reference model is used as a vehicle for discussion and emphasizes the lower layer of the model. Specific topics include: motivation and objectives, layered architectures, physical layer principles and protocols, data link and medium access control principles and protocols, circuit, packet and cell switching, local area network design principles and performance comparisons, high speed networking, introduction to wide area network architectures. Typical examples and standards are cited for point-to-point, satellite, packet radio and local area networks. Prerequisite: Fully classified graduate status in Computer Science, Software Engineering, or Computer Engineering. Graded: Graded Student. Units: 3.0
CSC 280. Advanced Computer Architecture. Introduction to parallel architecture covering computer classification schemes, fine and coarse grain parallelism, processor interconnections, and performance issues of multiprocessor systems. Includes parallel and pipelined instruction execution, structure of multiprocessor systems, memory hierarchy and coherency in shared memory systems, programming issues of multiprocessor systems, arithmetic pipeline design, and design for testability. Prerequisite: CSC 205 and fully classified graduate status in Computer Science or Software Engineering. Cross Listed: EEE 280; only one may be counted for credit. Graded: Graded Student. Units: 3.0
CSC 288. Special Topics in Computer Science - Software Engineering. Contemporary topics in computer science will be offered as needed. Topics offered: Graded: Graded Student. Units: 3.0
CSC 295. Fieldwork. Directed observations and work experience in computer science with firms in the industry or public agencies. Supervision is provided by the instructional staff and the cooperating agencies. Note: Faculty approval required. May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 299. Special Problems. Any properly qualified student who wishes to pursue a problem of his own choice may do so if the proposed subject is acceptable to the member of the staff with whom he/she works and to his/her advisor. Note: May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
CSC 500. Master's Thesis. Completion of a thesis approved for the Master's degree. Note: May be repeated for credit. Prerequisite: CSC 209; advanced to candidacy. Graded: Thesis in Progress. Units: 1.0 - 5.0.
CSC 502. Master's Project. Completion of a project approved for the Master's degree. Prerequisite: CSC 209; advanced to candidacy. Graded: Thesis in Progress. Units: 1.0 - 2.0.