| |
Communication
| (CTM) = |
Communication Theory and Methods |
| (CCSC) = |
Communication, Culture and Social Context |
| (MC) = |
Mass Communication |
|
| |
-
COMM 435 - Communication and Gender Units: 3
Introduction to a number of conceptual and theoretical problematics that have a bearing on the study of communication and its relevance to questions of gender. Explores differences between males and females with respect to communication styles, the cultural motivations for these differences, how they are reproduced in ongoing socialization experiences, their social and political implications, and the stratagems speakers deploy in the course of exploiting, bridging, negotiating, or overcoming such differences. (CCSC)
Satisfies GE area: DD
|
| |
-
COMM 437 - Interpersonal Communication Units: 3
Introduction to the theory and research focused on interpersonal communication. Emphasis is on experientially acquired insights into the initiation and maintenance of interpersonal relationships across a wide range of socialization institutions (e.g., family, peer group, and workplace). (CCSC)
|
| |
-
COMM 440 - Organizational Communication Units: 3
Examination of theoretical and research literature on the interaction within organizations and its bearing on individuals and groups in society at large. Some of the themes stressed are: the function of organizations within complex technological, market and sociopolitical environments; the communicative challenges of organizing; social responsibility and responsiveness; conflict mediation between organizational groups and actors; corporate wrongdoing; issues management; corporate political activity; institutional ethics; and whistle blowing. (CCSC)
|
| |
-
COMM 441 - Organizational Communication Ethics Units: 3
Examines ethical questions that impact how organizations communicate and what they choose to relay and omit to their various audiences. Considers personal ethical decision-making processes taking place in workers’ everday lives. Explores ethics theories as well as approaches that engage important questions of power, equality, and justice. Emphasizes the connections between communication, social justice, and ethics. May not be taken for credit by students who have received credit for COMM 350 -3.
|
| |
-
COMM 444 - Narratives in Organizations Units: 3
Develops understanding of the role of narratives in contemporary workplaces and cultivates narrative appreciation. Students gain familiarity with concepts from organizational narratology such as action, motivation and morality; sequence and locale; character and identity; interest and memory; complexity and control; point of view and verisimilitude, and aesthetics. Students construct their own narratives describing organizational experience, analyze narratives, improve storytelling ability, and apply their knowledge of narratives to improve communication in organizations. (CCSC)
|
| |
-
COMM 445 - Communication Portfolio Units: 3
Students will learn to craft professional documents: résumés, reports, and proposals. Students learn how, as colleagues, to evaluate, revise, and edit as well as how to give and respond to criticism of oral and written work. Informed by case studies, students also learn how to highlight and articulate their skills, abilities and interests as Communication majors as part of a job search or in preparation for graduate or professional study. (CTM) Enrollment restricted to Communication majors with senior standing.
|
| |
-
COMM 450 - Topics in Intercultural Communication Units: 3
Focused study of a specific aspect of intercultural communication. Topics vary by instructor. (CCSC) Students should check the Class Schedule for listing of actual topics. May be repeated for credit as topics change for a total of six 6 units.
|
| |
-
COMM 453 - Communication and Transnationalism Units: 3
Examines the communication practices that occur across transnational borders as well as the multiple ties and interactions linking peoples and/or institutions across the borders of nation states in the context of globalization. Explores experiences of transnational subjects, and particularly identity performances that emerge as people become transnational and locate themselves in new imagined and/or real communities. Investigates a variety of transnational issues in intercultural communication and the power dynamics emerging from these issues. (CCSC) May not be taken for credit by students who have received credit for COMM 450 -1.
Prerequisite(s): COMM 330 .
|
| |
-
COMM 454 - The Communication of Whiteness Units: 3
Introduction to basic theories, concepts, and principles regarding the idea of whiteness as a discursive (communicative) construct, and the key role that communication plays in the construction of whiteness. Particular attention will be given to the important role of communication (face-to-face, mediated, discursive), context (social, cultural, and historical), and power as they relate to whiteness. (CCSC) Enrollment Requirements: Enrollment Requirement: Completion of COMM 330 or other course dealing with race.
|
| |
-
COMM 455 - Television and Culture Units: 3
Analyzes television programs in the context of communication and other social science research in order to examine representations of race, ethnicity, social class, gender, and sexual preference. Examines how television contributes resources of interpretation, discussion, and social activities that affect the ways people view society and social groups. Subjects will include: types of representation; how representations have changed over time; multiple interpretations of television representations; how viewers use them; the production practices and conventions that shape them; the relationship between representations and structured inequality. (MC)
Prerequisite(s): COMM 330 or COMM 360 .
|
| |
-
COMM 456 - Leadership and Social Change Units: 3
Introduction to leadership theories and practices from a communication perspective, with a particular emphasis on effectiveness in different cultures and contexts. Development of personal leadership skills through self-awareness exercises, and hands-on practice in class and in service learning. Explores emotional intelligence, examines exemplary leaders from different cultural contexts, and considers ethical questions for leaders in a multicultural society. Credit may not be counted toward a Business major. (CCSC)
|
| |
-
COMM 460 - Visual Communication and Rhetoric Units: 3
Introduction to theories of visual communication, practices of seeing and looking, and approaches to critically analyzing objects of visual culture that come from art, popular culture, and mass media images. Explores how representations and the visual play important roles in constructing images of groups, communities, cultures, nations, and identities. Focuses on the power of the visual in public discourse and intercultural relations. (CCSC; MC)
|
| |
-
COMM 461 - Scientific Communication in Biotechnology Units: 3
Study of the communication principles and rhetorical strategies employed to effectively communicate with intended audiences in the context of the biotechnology industry. Students will apply this knowledge to plan, prepare, construct, and evaluate communication situations in which they participate as both producers and consumers of communication in careers related to biotechnology. Also offered as BIOT 460 . Students may not receive credit for both. Enrollment restricted to students with Junior or Senior standing.
Prerequisite(s): BIOT 355 or BIOT 356 .
|
| |
-
COMM 465 - Communication and Popular Culture Units: 3
Popular culture is so much a part of our daily lives that it is all but invisible. To a great extent, popular culture defines the texture of our lives. Popular images not only mediate and define reality, but they also implicitly assert a set of values. Introduces students to a number of concepts and challenges that arise in the study of U.S. popular culture. Drawing on a variety of theories and perspectives, students will critically examine the role of popular culture within the context of current social, political, and economic realities in the United States. (MC)
|
| |
-
COMM 470 - Political Communication Units: 3
A survey of theories and research in the area of political communication which covers such issues and themes as political image, symbolic constructions of political reality, agenda setting, political and campaign rhetoric. Special emphasis is placed upon how such issues and themes are related to the modern mass media. (MC)
|
| |
-
COMM 480 - Topics in Mass Communication Units: 3
Focused study of a specific aspect of mass communication. Topics vary by instructor. (MC) Students should check the Class Schedule for listing of actual topics. May be repeated for credit as topics change for a total of six 6 units.
|
| |
-
COMM 485 - Chicana/os Latina/os in Film and T.V. Units: 3
Examines representations of Chicana/os and Latina/os in film and television. Students learn about the development of Chicana/o cinema as a means to communicate counter narratives of Chicana/os’ and Latina/os’ social experiences. Explores the ways that language, images, and symbols convey individual group, and social identity. Categories are examined using critical rhetorical, media, feminist approaches. Students analyze films or television shows with the purpose of demonstrating persuasive elements, identities communicated, and/or ideologies proffered. (MC) Enrollment restricted to students with Junior or Senior standing.
|
| |
-
COMM 495 - Communication Internship Units: 3
Provides students with opportunities to examine organizational, intercultural, mediated, and other modes of communication during routine work activities in private and public enterprises outside of the classroom setting. Students complement classroom and laboratory learning with that of the work world. Internships may be paid or unpaid. May be repeated for credit for a total of six (6) units toward the COMM major in any combination from 495 and 499. Students majoring in COMM strongly advised to enroll in COMM 495 (not MASS 495). Students may not receive credit for both. Also offered as MASS 495 . Students may not receive credit for both. Enrollment restricted to Communication or Media Studies majors, who have been placed in an internship. Recommended Preparation: COMM 330 or COMM 440 or COMM 441 or COMM 355 or COMM 456 .
Prerequisite(s): COMM 100 .
|
| |
-
COMM 499A - Independent Study Units: 1
May be used by students who desire to do special individualized projects with an instructor. Number of units to be decided between the student and the instructor. May be repeated for a total of six 6 units. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
COMM 499B - Independent Study Units: 2
May be used by students who desire to do special individualized projects with an instructor. Number of units to be decided between the student and the instructor. May be repeated for a total of six 6 units. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
COMM 499C - Independent Study Units: 3
May be used by students who desire to do special individualized projects with an instructor. Number of units to be decided between the student and the instructor. May be repeated for a total of six 6 units. Enrollment restricted to students who have obtained consent of instructor.
|
Computer Information Systems |
| |
-
CIS 300 - Computer Information Fluency Units: 3
Knowledge work productivity concepts; advanced software functionality to support personal and group productivity; organization and management of data via spreadsheets and database tools; accessing organizational and external data; information search strategies; algorithmic and critical thinking; Web page design and programming; effective presentation and delivery. Enrollment restricted to students who have completed the Entry-Level Mathematics (ELM) requirement.
|
| |
-
CIS 341 - Computer System Analysis and Design Units: 3
Covers the systems development life cycle, compares traditional methods of systems development to newer, emerging methods, process and data models for an information system, user interface for an information system, feasibility study and cost benefit analysis.
Prerequisite(s): CS 211 .
|
| |
-
CIS 444 - Web Programming Units: 3
Methods, software architecture, and standards for Internet-scale software infrastructure (services and applications). Includes foundations of the Web; distributed systems; client server architectures from 2-tier to n-tier and through Web Applications Design; and distributed object-based systems and associated technologies.
Prerequisite(s): CS 443 .
|
| |
-
CIS 490 - Project Management and Practice Units: 3
Advanced CIS majors operating as a high-performance team will engage in and complete the design and implementation of a significant information system. Project management, management of the CIS function, and systems integration will be components of the project experience.
Prerequisite(s): CIS 444 .
|
Computer Science |
| |
-
CS 100 - Computer Basics Units: 1
Serves as an introduction to the potential of microcomputers, social, historical perspectives, word processing, spreadsheets, communications, operating systems, editors, and networking. Grading Basis: Graded Credit/No Credit. Credit may not be counted toward the computer science major.
|
| |
-
CS 105 - Media-Propelled Computational Thinking Units: 3
A media-propelled introduction to computation. Programming languages such as Alice, Java, Python, or Jython are studied and programming techniques are used to examine first the basic functions that draw objects, including lines and curves, and later to explore familiar physical, biological, or other scientific processes. Mathematical competence necessary for academic success will be enhanced. May not be taken for credit by students who have received credit for CS 200 -2. Enrollment Requirements: Enrollment Requirement: Completion of the Entry-Level Mathematics (ELM) requirement.
Satisfies GE area: B4
|
| |
-
CS 111 - Computer Science I Units: 4
Emphasizes programming methodology and problem-solving. A high-level language such as C++ will be used for the specification and implementation of algorithms. Includes principles and applications of software engineering, numerical computing, artificial intelligence, databases and user interface. Students lacking basic computer literacy skills are encouraged to take CS 105 first prior to CS 111. Three hours lecture
Prerequisite(s)/Corequisite(s): MATH 160 .
Satisfies GE area: B4
|
| |
-
CS 200 - Selected Topics in Computing Units: 1-3
Selected topics in computing and information technology. Credit may not be counted toward the Computer Science major. May be repeated for a total of twelve (12) units as topics change. Students should check the Class Schedule for listing of actual topics. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 211 - Computer Science II Units: 4
A continuation of program design and development. Introduction to data structures: stacks, queues, linear lists, trees, and sets. Includes pointers recursion, and implementation and analysis of sorting and searching algorithms. Extensive programming is required. Includes introduction to parallel models and algorithms, problem state space, relational database, and numerical approximation methods. Three hours of lecture
Prerequisite(s): CS 111 .
|
| |
-
CS 231 - Assembly Language and Digital Circuits Units: 4
The structure of computers, number and character representation, word and instruction formats, and flowcharting. Machine and assembly language programming, address modification, indexing, indirect addressing, subroutines, and mnemonic interpreting systems. Includes digital logic, analysis and synthesis of circuits, and circuits of commonly used computer components. Three hours of lecture
Prerequisite(s): CS 111 .
|
| |
-
CS 301 - Computer Mastery Units: 3
An introduction to the applications of computers, such as word processing, spreadsheet, database management, networking communications, operating systems, editors, societal issues, and historical perspectives of computer usage; algorithmic and critical thinking and computer programming in: A. ASP (recommended to future teachers) C. C++ B. PERL for Biological Sciences and Chemistry majors J. Java May not be repeated. CS 301 (A) May not be taken for credit by students who have received credit for EDUC 422A and EDUC 422C . A grade of C+ or above in CS 301(A) can be used to fulfill EDUC 422A and EDUC 422C . Credit may not be counted toward the Computer Science Major. Enrollment restricted to students who have completed the Entry-Level Mathematics (ELM) requirement.
Satisfies GE area: BB
|
| |
-
CS 305 - Problem Solving with Java Programming Units: 3
An introduction to algorithmic and critical thinking through problem solving and Java programming. Various problems are solved through many case studies and computer solutions are produced to solve these problems through the platform of web programming on the Internet. Enrollment restricted to students who have completed the Entry-Level Mathematics (ELM) requirement.
Satisfies GE area: BB
|
| |
-
CS 306 - Introduction to Computer Animation Units: 3
Introduction to the design and implementation of computer animation. The technical and creative aspects of both linear and interactive animation are investigated. Special attention is paid to the design of and production of 2-D and 3-D animations for the Internet. Enrollment restricted to students who have completed the Entry-Level Mathematics (ELM) requirement.
Satisfies GE area: BB
|
| |
-
CS 311 - Data Structures Units: 3
A thorough understanding of several advanced methods for implementing the abstract data types and the time used by each method. Includes abstract data types such as dictionary, priority queues, matrices, and relations, foundation of recursive algorithms, complexity analysis, complexity classes, sorting and searching, computability and undecidability, problem-solving strategies, heuristic search, modeling and components of database systems, and graphics software systems.
Prerequisite(s): CS 211 .
Prerequisite(s)/Corequisite(s): MATH 270 or 370.
|
| |
-
CS 331 - Computer Architecture Units: 3
A study of the functional organization and sequential operation of digital computers. The major components of a computer will be discussed. Introduction to machine instruction architecture and design. The study of the internal operations during program execution. Several computer architectures will be studied.
Prerequisite(s): CS 231 .
|
| |
-
CS 351 - Programming Languages Units: 3
Important features and concerns of implementation design on programming languages in common use today will be studied and analyzed. Includes data and control structures, run-time storage management, context-free grammars, language translation systems, programming paradigms, and distributed and parallel programming constructs.
Prerequisite(s)/Corequisite(s): CS 311 , and MATH 270 or 370.
|
| |
-
CS 403 - Social and Organizational Impacts of Computing Units: 3
Analyzes the social opportunities and problems raised by new information technologies. Emphasizes the dangers of incorrectly implemented software and hardware systems and relates them to the responsibilities of computing professionals. Effects of personal safety, quality of life, education, employment, personal privacy, organizational productivity, organizational structure, ethical values and regulations will be discussed. May not be taken for credit by students who have received credit for CS 303.
Prerequisite(s): CS 311 .
|
| |
-
CS 421 - Theory of Computing Units: 3
Regular and context-free languages, and other formal languages, push down and finite-state automata, and other finite machines. Turning machine computability, halting problems. May not be taken for credit by students who have received credit for CS 521.
Prerequisite(s): CS 351 .
|
| |
-
CS 433 - Operating Systems Units: 3
Operating system design and implementation, process coordination and scheduling, deadlocks, interface devices, memory and device management, networks and security, distributed and real-time systems. May not be taken for credit by students who have received credit for CS 533.
Prerequisite(s): CS 231 and CS 311 .
|
| |
-
CS 435 - Real-Time Concepts for Embedded Systems Units: 3
Introduction to the high-level abstract modeling concepts and the lower-level fundamental programming aspects of real-time embedded systems development. The primary focus is in the design, development and validation of microprocessor-based real-time embedded systems. Course topics will include real-time operating system design, real-time scheduling theory, general-purpose microprocessors, common bus architectures, memory management, device driver development, interrupts, general purpose peripherals: such as timers and counters, I/O subsystems along with some embedded system design problems and engineering issues.
Prerequisite(s): CS 231 and CS 311 .
|
| |
-
CS 436 - Introduction to Networking Units: 3
Covers the fundamentals of networking concept and technology, which includes data communication, OSI 7-layer model, TCP/IP protocol stacks and the Internet, the features of LAN, MAN and WAN, network security, and basic CGI programming and web applications.
Prerequisite(s): CS 311 .
|
| |
-
CS 441 - Software Engineering Units: 3
Principles, techniques, and tools used to effect the orderly production of medium- and large-scale computer software will be studied. Includes review of problem-solving concepts, software development process, software requirements and specifications, verification, and validation. These techniques will be applied to programming projects with students working in teams and managing all phases of a programming project. Social, professional, and ethical issues will be discussed. May not be taken for credit by students who have received credit for CS 541.
Prerequisite(s): CS 311
|
| |
-
CS 443 - Database Management Systems Units: 3
Study of the concepts and structures necessary to design and implement database management systems. File organization, index organization, security, data integrity and reliability, data description and query languages will be studied within hierarchical, network, and relational models. A commercially available relational database management system will be used. May not be taken for credit by students who have received credit for CS 543.
Prerequisite(s): CS 311 .
|
| |
-
CS 445 - Reconfigurable Embedded Systems Units: 3
Concepts, technologies, and programming languages used in modern digital embedded systems. Includes general-purpose computing, reconfigurable computing, and application-specific computing in digital system design. Technologies of reconfigurable computing systems such as Field Programmable Gate Arrays, design flow and implementation in reconfigurable systems, Hardware Description Languages, such as VHDL (Very high speed integrated circuits Hardware Description Language) programming, techniques to reconfigure systems over time including partitioning and placement, and on-chip communication solutions in dynamically reconfigurable systems. May not be taken for credit by students who have received credit for CS 497 -5.
Prerequisite(s): CS 331 .
|
| |
-
CS 455 - Logic Programming Units: 3
Declarative programming techniques: formal specification of the problem itself rather than of a solution algorithm. Survey of logic programming languages such as Prolog, applications, theoretical foundations propositional logic, predicate calculus, resolution, theorem proving, non-determinism, meta-programming. May not be taken for credit by students who have received credit for CS 555 .
Prerequisite(s): CS 351 .
|
| |
-
CS 464 - Numerical Analysis and Computing Units: 3
Computer arithmetic, solution of a single algebraic equation, solution of systems of equations interpolating polynomials, numerical integration, numerical solution of ordinary differential equations; error analysis and computational effort of numerical algorithms. Combines theoretical ideas with hands-on laboratory experience. Also offered as MATH 464 . Students may not receive credit for both.
Prerequisite(s): CS 111 and MATH 162 .
|
| |
-
CS 471 - Introduction to Artificial Intelligence Units: 3
An introduction to the objectives and techniques used by practitioners and researchers in artificial intelligence. Explores a number of aspects of computational models of intelligence including problem solving (uninformed and informed strategies), game playing, knowledge representation, reasoning, planning, natural language processing (text and speech), and learning. There will be a number of hands-on assignments that will allow the students to become familiar with the practice of building intelligence systems. May not be taken by students who have received credit for CS 571 .
Prerequisite(s): CS 311 .
|
| |
-
CS 473 - Artificial Neural Networks Units: 3
Theory, algorithms and applications of artificial neural networks, their applications including pattern and speech recognition, system identification, signal processing, time series prediction, financial analysis and trading. May not be taken for credit by students who have received credit for CS 573.
Prerequisite(s): CS 311 .
|
| |
-
CS 480 - Introduction to Optimization Units: 3
Study of Linear Programming, Goal Programming and Integer Programming. Programming methods include the simplex method and the Big M method. Theoretical aspects include optimality conditions, sensitivity analysis and duality. Also offered as MATH 480 . Students may not receive credit for both. Enrollment Requirements: Enrollment Requirement: CS 211 .
Prerequisite(s): MATH 374 .
|
| |
-
CS 481 - Introduction to Mobile Programming Units: 3
Introduces students to the fundamentals of developing applications for mobile devices including smart phones and tablets. Common issues and special consideration for programming on mobile devices will be discussed. Software engineering principles in project design and human-computer interaction will be applied. Students will also learn about the development cross-platform mobile Web applications. May not be taken for credit by students who have received credit for CS 497 -2.
Prerequisite(s): CS 351 or CIS 444 .
|
| |
-
CS 485 - Game Programming Units: 3
Introduction to the concepts of game development and game modeling and programming through developing playable 2D/3D games using a modern game engine. Includes the framework and roles in a team for game development, programming skills of using a game engine and modeling skills of creating 3D models with animation tools.
Prerequisite(s): CS 311 .
|
| |
-
CS 495 - Internship in Computer Science Units: 3
Faculty-sponsored academic internship in business, industrial, government, or research firm. Enrollment restricted to students who have obtained consent of faculty sponsor.
|
| |
-
CS 497 - Topics in Computer Science Units: 3
Introductory or advanced topics in Computer Science for undergraduate students. May be repeated as topics change for a total of six 6 units. Students should check the Class Schedule for listing of actual topics. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 498A - Individual Study in Computer Science Units: 1
Individually directed reading and study in Computer Science literature. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
|
| |
-
CS 498B - Individual Study in Computer Science Units: 2
Individually directed reading and study in Computer Science literature. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
|
| |
-
CS 498C - Individual Study in Computer Science Units: 3
Individually directed reading and study in Computer Science literature. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
|
| |
-
CS 499A - Independent Research in Computer Science Units: 1
Designed for students capable of independent and original research. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
|
| |
-
CS 499B - Independent Research in Computer Science Units: 2
Designed for students capable of independent and original research. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
|
| |
-
CS 499C - Independent Research in Computer Science Units: 3
Designed for students capable of independent and original research. May be repeated for a maximum of three (3) units. Enrollment restricted to students with Senior standing in Computer Science. Enrollment restricted to students who have obtained consent of supervising instructor.
|
| |
-
CS 511 - Introduction to Bioinformatics Units: 3
Application of computer technology to the management of biological information. Introduces computer algorithms that are used to gather, store, analyze and integrate biological and genetic information which can then be applied to gene-based drug discovery and development. Enrollment Requirements: Enrollment Requirement for graduate students and prerequisite for undergraduate students: CS 311 .
|
| |
-
CS 512 - Introduction to Data Mining Units: 3
Illustrates the process of analyzing data from different perspectives and summarizing it into useful information so as to increase revenue, or cut costs. Introduces Data Mining software analytical tools that are used for analyzing data. Tools allow users to analyze data from many different dimensions or angles, categorize the data, and summarize the relationships identified. Enrollment Requirements: Enrollment Requirement for graduate students and prerequisite for undergraduate students: CS 443 .
|
| |
-
CS 513 - Analysis and Intractability of Algorithms Units: 3
Study of algorithms; efficient, optimal algorithms and analysis for best, worst, and average performance; computational complexity theory; algorithmic time and space bounds; levels of intractability including polynomial-time reducibility, NP-complete and NP-hard problems, and Co-NP; applications. A core course in the Computer Science M.S. program. Undergraduates must obtain consent of instructor to enroll.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 311 .
|
| |
-
CS 531 - Advanced Computer Architectures Units: 3
Comparative studies of computer system components: CPU, memory, and I/O devices; analytical modeling techniques to allow comparative evaluation of different computer architectures; multiprocessors, and array processors, vector processes multiprocessors, pipeline and super-pipeline processors, supercomputers, dataflow machines; parallelism, scalability, and programmability.
Prerequisite(s): For undergraduates and enrollment requirement for graduate students: CS 331 .
|
| |
-
CS 535 - Introduction to Computer Graphics Units: 3
Introduces basic theory and programming in computer graphics. Includes graphics pipeline, rasterization, windowing and clipping, OpenGL programming, theory of domain transformations, mathematics of three-dimensional graphics involving rotation, scaling, translation and perspective projection, curve and surface modeling, lighting and shading, texture mapping, visibility algorithms, shading languages, and ray-tracing. May not be taken for credit by students who have received credit for CS 435 . Enrollment Requirements: Enrollment Requirement: MATH 264 or MATH 374 .
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 311 .
|
| |
-
CS 536 - Introduction to 3D Game Graphics Units: 3
Introduction to graphics algorithms and skills related to 3D game programming. The emphasis is on developing 3D graphics engines. Subjects covered include graphics hardware, rendering pipeline, OpenGL programming, geometric transformations, lighting and shading, texture mapping, shadowing, collision detection, animation, and other interactive computer graphics techniques. Enrollment Requirements: Enrollment Requirement: MATH 264 or MATH 374 .
Prerequisite(s): For undergraduates and enrollment requirement for graduate students: CS 311 .
|
| |
-
CS 537 - Data Communication and Computer Networks Units: 3
Introduces TCP/IP network architecture with emphasis on upper-layer protocols and a detailed investigation into TCP and IP. It also covers local area networks, internetworking, and network programming. A core course in the Computer Science M.S. program. Undergraduates must obtain consent of instructor to enroll.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 436 .
|
| |
-
CS 538 - Cryptography and Network Security Units: 3
Basic number theory, computational complexity, and network architecture, in depth discussion on cryptography and its network applications; security threats, requirements, protocols, applications for secure networks, and legal and ethical issues.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 433 .
|
| |
-
CS 539 - Client/Server Computing Units: 3
State-of-the-practice on client/server computing, the key enabling technologies and their inter-relationships, development and implementation of client/server/ applications, emerging technologies that may affect the future practice within the client/server environment.
Prerequisite(s)/Corequisite(s): For undergraduates and enrollment requirement for graduate students: CS 441 .
|
| |
-
CS 542 - Design Patterns and Object-Oriented Analysis Units: 3
Studies object-oriented analysis and design and their roles in software development. Many documented patterns in program designs will be introduced and analyzed. Advanced topics in software engineering such as software metrics, software architecture and software reuse are also discussed. A core course in the Computer Science M.S. program. Undergraduates must obtain consent of instructor to enroll.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 441 .
|
| |
-
CS 551 - Advanced Programming Languages Units: 3
Formal syntax of programming languages such as Backus-Naur form and its variations, attribute grammars, two-level grammars, formal semantics of programming languages, including operational semantics, denotational semantics, and axiomatic semantics. A core course in the Computer Science M.S. program. Undergraduates must obtain consent of instructor to enroll.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 351 and CS 421 .
Prerequisite(s)/Corequisite(s): CS 421 .
|
| |
-
CS 553 - Compilers Units: 3
Study of lexical scanning, parsing methods, intermediate code generation, error detection, and recovery. Included will be the design and implementation of a simple compiler or components of an actual compiler. May not be taken for credit by students who have received credit for CS 453.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 351 and CS 421 .
|
| |
-
CS 555 - Logic Programming Units: 3
Declarative programming techniques: formal specification of the problem itself rather than of a solution algorithm. Survey of logic programming languages such as Prolog, applications, theoretical foundations propositional logic, predicate calculus, resolution, theorem proving, non-determinism, meta-programming.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 351 and MATH 270 or 370.
|
| |
-
CS 571 - Artificial Intelligence Units: 3
A comprehensive study of basic concepts techniques and a number of detailed algorithms used by researchers and practitioners of artificial intelligence. Subjects covered include problem-solving, knowledge representation and reasoning, planning, uncertainty reasoning and decision-making, machine-learning, and natural language processing. A core course in the Computer Science M.S. program. Enrollment restricted to graduate students and to undergraduates who have obtained consent of instructor.
Prerequisite(s): Prerequisite for undergraduates and enrollment requirement for graduate students: CS 421 .
|
| |
-
CS 572 - Artificial Intelligence and Games Units: 3
A comprehensive study of artificial intelligence techniques and their application to computer games. Analysis of the algorithms that work on a character-by-character basis. Analysis and study of an artificial intelligence-based game model split into three components: strategy, decision-making, and movement. Additionally, this course will provide the background for students interested in graphics applied to computer games development.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 351 .
|
| |
-
CS 574 - Intelligent Information Retrieval Units: 3
In-depth discussion of recent approaches in the field of the indexing, processing, retrieval, and ranking of textual data. Study of classic and current retrieval models, algorithms, and information retrieval system implementations. Practical applications using existing information retrieval systems. Advanced topics will address “intelligent” IR, including Natural Language Processing techniques, “smart” Web agents, and cross-linguistic information retrieval.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 311 .
|
| |
-
CS 575 - Machine Learning Systems Units: 3
Discusses important machine learning algorithms, systems, theory and practices including decision-tree learning, artificial neural networks, Bayesian approaches, genetic algorithms and programs, reinforcement learning, computational learning theory, etc. May not be taken for credit by students who have received credit for CS 475. Enrollment Requirements: Enrollment Requirement for graduate students and prerequisite for undergraduate students: CS 311 .
|
| |
-
CS 577 - Intelligent Tutoring Systems Units: 3
Study of concepts and structures necessary to design and implement intelligent tutoring systems. Comparison with non-intelligent systems. Includes knowledge representation techniques for the pedagogical model, domain model, and student model. Interface issues will be discussed. A small tutoring system will be implemented.
Prerequisite(s): For undergraduates and enrollment requirement For graduate students: CS 421 .
|
| |
-
CS 578 - Introduction to Text Mining Units: 3
An introduction to the study of classical and current approaches in the field of the processing, extraction and classification of textual data. The approaches include natural language processing, statistical models of language, algorithms in machine learning use applied in text mining. Analysis of current applications in static data collections and dynamic data collections such as the web will be carried out. Enrollment Requirements: Enrollment Requirement for graduate students and prerequisite for undergraduate students: CS 311 .
|
| |
-
CS 590 - Introduction to Research and Publishing in Computer Science Units: 3
Introduces research techniques and technical writing styles in Computer Science. Designed to help graduate students prepare for their CS 698 and CS 699 course in which independent research abilities and technical writing skills are required. By passing this course, the Graduate Writing Requirement is satisfied. Enrollment restricted to graduate students.
|
| |
-
CS 597 - Advanced Topics in Computer Science Units: 3
Advanced topics in computer science for graduate students or advanced undergraduate students. May be repeated for credit as topics change for a total of six 6 units. Students should check the Class Schedule for listing of actual topics. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 612 - Data Mining in Bioinformatics Units: 3
Introduces the Data Mining approaches suited for Bioinformatics. Shows that mining biological data helps to extract useful knowledge from massive datasets gathered in biology, and in other related life sciences areas such as medicine and neuroscience.
Prerequisite(s): CS 513 .
|
| |
-
CS 613 - Advanced Computational Complexity Units: 3
In-depth discussion of computational complexity theory including models of computation, polynomially bounded, NP-completeness, reducibility, and beyond NP-completeness, and intractable problems. NP-complete problems in various areas will be discussed.
Prerequisite(s): CS 513 .
|
| |
-
CS 614 - Algorithms in Bioinformatics Units: 3
Covers the computational models and algorithms in bioinformatics research. The topics include sequence assembly, sequence alignment, motif searching, pattern matching, DNA microarray analysis, clustering and evolutionary trees, and Hidden Markov Models. Enrollment Requirements: Enrollment Requirement: CS 311 and MATH 242 .
Prerequisite(s): CS 513 .
|
| |
-
CS 633 - Advanced Operating Systems Units: 3
Current research and methodology in operating systems for operating system designers. Advance study includes topics of synchronization, deadlock, virtual memory, security, distributed systems and control, and modeling and analysis. Enrollment Requirements: Enrollment Requirement: CS 433 .
|
| |
-
CS 635 - Advanced Computer Graphics Units: 3
Covers advanced concepts and methods of three-dimensional computer graphics. Studies the recent developments in rendering, modeling, animation, and visualization. Provides students with sufficient background to write advanced computer graphics applications.
Prerequisite(s): CS 535 or CS 536 .
|
| |
-
CS 637 - Advanced Computer Networks Units: 3
Broadband integrated services digital networks, high-speed networks, radio and satellite networks, lightwave networks; multimedia communications, wireless communications, high-speed communications; network design, network architectures, traffic and admission control, routing and flow control, performance issues, traffic characteristics. Enrollment Requirements: Enrollment Requirement: CS 433 .
Prerequisite(s): CS 537 .
|
| |
-
CS 643 - Advanced Database Management Systems Units: 3
Advanced data models such as object-oriented databases, distributed databases, deductive databases, and multimedia databases, abstractions, dependencies, normalizations, query optimizations, implementations, languages, database machines, and other advanced topics.
Prerequisite(s): CS 443 .
|
| |
-
CS 671 - Advanced Artificial Intelligence Units: 3
In-depth discussion on selected subdisciplines of Artificial Intelligence. Use of formal techniques and well-known systems for these subdisciplines. Discussion of current research and programming in Lisp, Prolog or an expert system shell to develop or modify certain systems in these areas.
Prerequisite(s): CS 571 .
|
| |
-
CS 673 - Artificial Neural Networks and Forecasting Units: 3
Includes forecasting using statistical methods such as Box-Jenkins ARIMA models for time series analysis and forecasting with artificial neural networks. Applications include financial forecasting for stock prices, commodity trading volumes, or currency exchange rates, and other forecasting such as electric load, ocean temperature, river flow volume, and traffic flow. Current state-of-art forecasting methodologies from journals, conference proceedings, and books will be discussed.
Prerequisite(s): CS 571 .
|
| |
-
CS 677 - Development of Intelligent Tutoring Systems Units: 3
Study of issues related to design, implementation and evaluation of intelligent tutoring systems. Students will work in teams to develop tutoring systems and produce plans to evaluate these systems.
Prerequisite(s): CS 571 .
|
| |
-
CS 678 - Text Mining Units: 3
In-depth discussion of selected subjects in Text Mining with emphasis on the design, implementation and testing of approaches and algorithms in the field. Approaches and algorithms included are the following: Finite-state Automata, Hidden Markov Models, Support Vector Machines, and Conditional Random Fields.
Prerequisite(s): CS 571 .
|
| |
-
CS 696A - Graduate Individual Study in Computer Science Units: 1
Individually directed reading and study in Computer Science literature for graduate students, focusing on advanced topics. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 696B - Graduate Individual Study in Computer Science Units: 2
Individually directed reading and study in Computer Science literature for graduate students, focusing on advanced topics. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 696C - Graduate Individual Study in Computer Science Units: 3
Individually directed reading and study in Computer Science literature for graduate students, focusing on advanced topics. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 697 - Graduate Topics in Computer Science Units: 3
Advanced topics of current interest in computer science for graduate students. Students should check the Class Schedule for listing of actual topics. May be repeated for credit as topics change for a total of six 6 units. Enrollment restricted to students who have obtained consent of instructor.
|
| |
-
CS 698 - Master’s Research Project Units: 3
Faculty-supervised investigation, to culminate in a written report for the master’s degree. It may be repeated, but only three (3) units count toward the master’s degree. Grading Basis: Graded Credit/No Credit. Enrollment Requirements: Enrollment Requirement: An officially appointed advisory committee with a project advisor and advancement to candidacy.
|
| |
-
CS 699A - Master’s Thesis Units: 1
Preparation of a thesis for the master’s degree. May be repeated but only six 6 units count toward the master’s degree. Grading Basis: Credit/No Credit. Enrollment Requirements: Enrollment Requirement: An officially appointed thesis committee with a thesis advisor as the chair of the committee and advancement to candidacy.
|
| |
-
CS 699B - Master’s Thesis Units: 2
Preparation of a thesis for the master’s degree. May be repeated but only six 6 units count toward the master’s degree. Grading Basis: Credit/No Credit. Enrollment Requirements: Enrollment Requirement: An officially appointed thesis committee with a thesis advisor as the chair of the committee and advancement to candidacy.
|
| |
-
CS 699C - Master’s Thesis Units: 3
Preparation of a thesis for the master’s degree. May be repeated but only six 6 units count toward the master’s degree. Grading Basis: Credit/No Credit. Enrollment Requirements: Enrollment Requirement: An officially appointed thesis committee with a thesis advisor as the chair of the committee and advancement to candidacy.
|
| |
Page: 1
| 2
| 3
| 4
| 5
| 6
| 7
| 8
| 9
| 10
| 11
… Forward 10 -> 27 |
Print this Page