Course Catalog

Introduces curriculum, learning techniques, time management and career opportunities in Computer Science. Includes presentations from alumni and others with relevant educational and professional experience. This course was formerly offered as CSCI 2830 Special Topics in Computer Science: Computer Science as a Field of Work and Study.

Presents an introduction to various uses of computers, including text processing, communication, spreadsheets, and database systems as well as an introduction to computer programming.

Introduces the fundamental principles of computer science using an on-line virtual world called Second Life as the "laboratory" for the course. Students will learn how to program by creating objects of interest in Second Life. In-class and in-world discussions and readings will introduce the student to important ideas and concepts that shape the field of computer science. Same as ATLS 1220.

Introduces and explores the "computational style of thinking" and its influence in science, mathematics, engineering and the arts. The course does not focus on the nuts and bolts of any particular programming language, but rather on the way in which computing has affected human culture and thought in the past half century. Same as ATLS 1240.

Instructs students in analyzing problems and synthesizing programs for the solution, emphasizing good engineering practices for program construction, documentation, testing, and debugging. Uses C++ for programming projects.

Provides first-year engineering students with opportunity to apply mathematical and scientific skills in interdisciplinary engineering projects. Students work in teams to design and build engineering projects under guidance of engineering faculty. Prototype projects are exhibited at an end-of-semester design expo.

Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria for selecting data structures to fit their applications. Prerequisites: CSCI 1300 and one of APPM 1350 or MATH 1300.

Covers how programs are represented and executed by modern computers, including low-level machine representations of programs and data, an understanding of how computer components influence program performance and memory hierarchy. Prerequisites: CSCI 2270.

Covers foundational material for computer science that is often assumed in advanced courses. Topics include set theory, Boolean algebra, functions and relations, graphs, propositional and predicate calculus, proofs, mathematical induction, recurrence relations, combinatorics, discrete probability. Focuses on examples based on diverse applications of computer science. Prerequisites: CSCI 2270.

Covers topics of interest in computer science at the sophomore level. Content varies from semester to semester. Prerequisites: Consent of instructor.

Offers selected topics at the elementary level for students with little or no previous computing experience.

Introduces practice and research in human computer interaction, design of interactive systems, computer supported cooperative work, computer supported collaborative learning, educational technology, tools that support creativity, user-developed knowledge collections and gaming.

Studies advanced data structures, computational geometry, cryptography, dynamic programming, greedy algorithms, divide-and-conquer, graph algorithms (e.g., depth-first search), network algorithms (e.g., shortest paths), approximation algorithms. Prerequisites: CSCI 2270 and two semesters of calculus.

Supports students in developing professional skills and practices in human computer interaction, design of interactive systems, computer supported cooperative work, computer supported collaborative learning, educational technology, tools that support creativity, user-developed knowledge collections, and gaming. May be repeated up to 10 total credit hours. Same as ATLS 3112.

Studies fundamental concepts on which programming languages are based and execution models supporting them. Topics include values, variables, bindings, type systems, control structures, exceptions, concurrency, and modularity. Learn how to select a language and to adapt to a new language. Prerequisites: CSCI 2270 and one of CSCI 2400 or ECEN 2120.

Surveys artificial intelligence techniques of knowledge representation, search, learning, and natural language processing. Introduces artificial intelligence programming in Lisp. Prerequisites: CSCI 2270.

Surveys data management, including file systems, database management systems design, physical data organizations, data models, query languages, concurrency, and database protection. Prerequisites: CSCI 3104.

Focuses on software engineering methods and tools for application development, including design and system organization; using and creating reusable libraries; building, testing, and debugging; and performance evaluation. Two hours of lecture, three hours of lab per week. Prerequisites: CSCI 2270.

Introduces the foundations of formal language theory, computability, and complexity. Shows relationship between automata and various classes of languages. Addresses the issue of which problems can be solved by computational means, and studies complexity of solutions. Prerequisites: CSCI 3104 and CSCI 3155.

Covers development, computer implementation, and analysis of numerical methods for applied mathematical problems. Topics include floating point arithmetic, numerical solution of linear systems of equations, root finding, numerical interpolation, differentiation, and integration. Prerequisites: Two semesters of calculus, linear algebra, and one of CSCI 1200 or CSCI 1300.

Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving, and judgment. Emphasizes the nature, implications, and limitations of the computational model of mind. Same as LING 3005, PHIL 3310, and PSYC 3005. Prerequisites: Two of the following four courses: CSCI 1300, LING 2000, PHIL 2440, PSYC 2145.

Examines software comprising computing systems as it builds upon hardware to provide a programming environment. Looks at structure and function of editors, compilers/assemblers, linkers, etc. Basic operating systems concepts and systems programming in high-level languages. Prerequisites: CSCI 2270 and one of CSCI 2400 or ECEN 2120.

Examines the development of new venture creation from the entrepreneur's perspective. Provides an understanding of the entire process including opportunity identification, feasibility study, fundraising, organization, team creation, and exit strategies through case studies, oral and written presentations, and outside speakers. Taught by an experienced entrepreneur. Prerequisites: CSCI 2270 and junior standing.

Introduces the internals of UNIX, trouble shooting system and network problems, hardware and software configuration and installation, and security aspects of hosts on the Internet. Offers students hands-on experience on dedicated laboratory workstations. Prerequisites: CSCI 2270 or consent of instructor. Recommended: CSCI 3308.

Develops enterprise level design and configuration skills on local area networking via switching and routing, as well as the provisioning of remote data communications across diverse WAN technologies, using the latest available transport and security services. Same as TLEN 5460. Prerequisites: CSCI 4273.

Allows students to gain practical experience with network security in a simulated network environment. Topics to be covered include System Hardening, Firewalls, Intrusion Detection, Vulnerability Assessment, and Investigation. Same as TLEN 5540. Prerequisites: CSCI 4273.

Provides a series of weekly lectures with questions and discussion. Many of the speakers are nationally known experts in telecommunications. Attendance is required. Same as TLEN 5600.

Second course in artificial intelligence. Topics may vary, but typically cover neural networks, natural language processing, and artificial life. Prerequisites: CSCI 3202 or consent of instructor.

Studies design, analysis, and implementation of computer graphics techniques. Topics include interactive techniques, 2D and 3D viewing, clipping, segmentation, translation, rotation, and projection. Also involves removal of hidden edges, shading, and color. Prerequisites: Knowledge of basic linear algebra and CSCI 2270.

Focuses on design and implementation of network programs and systems, including topics in network protocols, file transfer, client-server computing, remote procedure call, and other contemporary network system design and programming techniques. Prerequisites: CSCI 3753 and familiarity with C and UNIX.

Advanced practicum in which students design, implement, document and test software systems for use in industry, non-profits, government and research institutions. Offers practical experience by working closely with project sponsors. Also offers extensive experience in oral and written communication throughout the software lifecycle. Students must take CSCI 4308-CSCI 4318 contiguously, as the project spans the entire academic year. Prerequisites: Successful completion of a minimum of 36 credit hours of Computer Science Foundation, Track Foundation, Track Core and Computer Science Electives and completion of WRTG 3030. Open only to seniors. See Senior Project Prerequisites. See Senior Project for more information.

Teaches students essential skills necessary for developing usable assistive and performance support systems, which include consideration of the academic and professional interdisciplinary issues that govern the work. An overview of ongoing and emerging topics in medical informatics will be presented. Prerequisites: CSCI 2270. Recommended: CSCI 3002.

Surveys combinatorial algorithms used to understand DNA, RNA, and proteins. Introduces students to methods used to process genomic data. Topics covered include a review of algorithms and molecular biology, sequence analysis, RNA and protein structure analysis, and comparative genomics. Students will get hands-on experience processing recent genomic data. Prerequisites: CSCI 2270 and one of CSCI 3104, CHEM 4711, IPHY 4200 or MCDB 3500.

Develops essential skills for performing genomic analyses, with focus on developing practical research tools. Introduces human genome and microbiome projects, Python/SQL scripting, accessing and understanding genomic data, sequence alignment and search, evolutionary models, expression data, biological networks, and macromolecular structure. Same as CHEM 4621 and MCDB 4621. Prerequisites: CSCI 3104, CHEM 4711 or MCDB 3500.

Second semester of an advanced practicum in computer science. Students must take CSCI 4308 and CSCI 4318 contiguously as the project spans the entire academic year. Prerequisites: CSCI 4308. See Senior Project for more information.

Introduces techniques of designing, constructing, and documenting computationally-enhanced physical artifacts. Students will work in teams and use state-of-the-art fabrication tools, microprocessors, and software systems to build working prototypes of objects that can be controlled and customized through embedded computation. This course was formerly offered as CSCI 4830 Special Topics in Computer Science: Things That Think.

This is a proposed new course. Prerequisites: CSCI 2270. This course was formerly offered as CSCI 4830 Special Topics in Computer Science: Game Programming.

Supports students in developing professional skills and knowledge concerning the use of computer technologies to support collaborative activities. Also covers the impact of digital collaboration technologies on users, groups, organizations and society. Students will gain practical experience with Business Process Management and the use of Workflow Management Systems.

Explores the design of new media and technologies to support design and creativity. Analyzes design and creativity as human activities of fundamental importance in the networked information culture and economy. Provides theoretical and practical analysis of new media. Prerequisites: Consent of instructor.

Explores chaotic dynamics theoretically and through computer simulations. Covers the standard computational and analytical tools used in nonlinear dynamics and concludes with an overview of leading-edge chaos research. Topics include time and phase-space dynamics, surfaces of section, bifurcation diagrams, fractal dimension, and Lyapunov exponents. Prerequisites: Two semesters of calculus, CSCI 1200 or equivalent, and PHYS 1110. Recommended: PHYS 1120, CSCI 3656 and MATH 3130.

An applied analysis and design class addressing the use of object-oriented techniques. Topics include domain modeling, use cases, architectural design, and modeling notations. Students apply the techniques in analysis and design projects. Prerequisites: CSCI 3155 or expertise in one or more object-oriented programming languages, such as C++ or Java.

Explores cryptographic methods applied to computer networks. Investigates existing security protocols and their underlying principles. Prerequisites: CSCI 3104. Recommended: CSCI 4273.

Introduces the basic techniques used in translating programming languages: scanning, parsing, definition table management, operator identification and coercion, code selection and register allocation, error recovery. Students build a complete compiler for a simple language. Same as ECEN 4553. Prerequisites: ECEN 2120.

Introduces computing systems, software, and methods used to solve large-scale problems in science and engineering. Students use high-performance workstations and a supercomputer. First course in a two-semester sequence. Prerequisites: CSCI 3656 or equivalent.

Introduces computing systems, software, and methods to solve large-scale problems in science and engineering. Students use high-performance workstations and a supercomputer. Second course in a two-semester sequence. Prerequisites: CSCI 4576.

Studies computer design at the gate level. Discusses microprogrammed and hardwired control units, memory design, arithmetic and logic unit, I/O, and peripheral devices. Briefly covers aspects of modern computer architecture, such as parallel processing and reduced instruction set computers. Same as ECEN 4593. Prerequisites: ECEN 2120 and ECEN 3100.

Presents a broad range of system measurement and modeling techniques, emphasizing applications to computer systems. Topics include system measurement, work load characterization, and analysis of data; design of experiments; simulation; and queuing theory and queuing network models. Same as ECEN 4753. Prerequisites: CSCI 3753 or equivalent, and second-semester calculus. Recommended: a course in statistics.

Develops a firm understanding of the general principles of computer animation and provides rigorous, hands-on training in the application of animation principles. Includes the creation of models, materials, textures, surfaces, and lighting. Introduces path and keyframe animation, particle dynamics, and rendering. This course was formerly offered as CSCI 4830 Special Topics in Computer Science: Animation for Everyone.

Provides an overview of current research topics in computational biology and health informatics, with a focus on research conducted on campus. Each week, students will attend an on-campus seminar or a presentation by an on-campus research group. Prepares students to participate in a research project. Prerequisites: CSCI 4312, CSCI 4314 or CSCI 4317.

Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. Prerequisites: Consent of instructor.

Develops the skills and practices necessary to apply user-centered approaches to software requirements analysis and the design and evaluation of computer applications. Prerequisites: CSCI 2270. This course was formerly offered as CSCI 4830 Special Topics in Computer Science: User Interface Design.

Provides opportunities for independent study at the upper-division undergraduate level. Students work on a small research problem or tutor lower-division computer science students. Prerequisites: CSCI 1200 or CSCI 1300.

Provides an opportunity for senior computer science majors to conduct exploratory research in computer science. Prerequisites: Successful completion of a minimum of 36 credit hours of Computer Science Foundation, Track Foundation, Track Core and Computer Science Electives and completion of WRTG 3030. Open only to seniors. May be repeated up to 8 total credit hours. See Senior Thesis for more information.

Studies design, analysis, and implementation of computer graphics techniques. Topics include interactive techniques, 2D and 3D viewing, clipping, segmentation, translation, rotation, and projection. Also involves removal of hidden edges, shading, and color. Prerequisites: Knowledge of basic linear algebra and CSCI 2270 or equivalent.

An applied programming course focusing on design and implementation of network programs and systems, including topics in network protocols, file transfer, client-server computing, remote procedure call, and other contemporary network system design and programming techniques. Prerequisites: CSCI 3753 or equivalent and familiarity with C and UNIX.

Teaches students essential skills necessary for developing usable assistive and performance support systems, which includes consideration of the academic and professional interdisciplinary issues that govern the work. An overview of ongoing and emerging topics in medical informatics will be presented. Prerequisites: CSCI 2270. Recommended: CSCI 3002.

Surveys combinatorial algorithms used to understand DNA, RNA, and proteins. Introduces students to methods used to process genomic data. Topics covered include a review of algorithms and molecular biology, sequence analysis, RNA and protein structure analysis, and comparative genomics. Students will get hands-on experience processing recent genomic data. Prerequisites: CSCI 2270 and one of CSCI 3104, CHEM 4711, IPHY 4200 or MCDB 3500.

Develops essential skills for performing genomic analyses, with focus on developing practical research tools. Introduces human genome and microbiome projects, Python/SQL scripting, accessing and understanding genomic data, sequence alignment and search, evolutionary models, expression data, biological networks, and macromolecular structure. Same as CHEM 5621 and MCDB 5621. Prerequisites: CSCI 3104, CHEM 4711 or MCDB 3500.

Introduces techniques of designing, constructing, and documenting computationally-enhanced physical artifacts. Students will work in teams and use state-of-the-art fabrication tools, microprocessors, and software systems to build working prototypes of objects that can be controlled and customized through embedded computation. This course was formerly offered as CSCI 7000 Current Topics in Computer Science: Things That Think.

This is a proposed new course. Prerequisites: CSCI 2270. This course was formerly offered as CSCI 7000 Current Topics in Computer Science: Game Programming.

Supports students in developing professional skills and knowledge concerning the use of computer technologies to support collaborative activities. Also covers the impact of digital collaboration technologies on users, groups, organizations and society. Students will gain practical experience with Business Process Management and the use of Workflow Management Systems. This course was formerly offered as CSCI 7000 Current Topics in Computer Science: Groupware and Workflow.

Explores the design of new media and technologies to support design and creativity. Analyzes design and creativity as human activities of fundamental importance in the networked information culture and economy. Provides theoretical and practical analysis of new media. Prerequisites: Consent of instructor.

Reviews regular expressions and finite automata. Studies Turing machines and equivalent models of computation, the Chomsky hierarchy, context-free grammars, push-down automata, and computability. Prerequisites: Graduate standing or instructor consent.

Techniques for algorithm design, analysis of correctness and efficiency; divide and conquer, dynamic programming, etc. Advanced data structures, algorithms in graph theory, geometry, VLSI, linear algebra, etc. Lower bounds, NP-completeness, intractability. Prerequisites: CSCI 2270 or equivalent.

Examines design and implementation of contemporary operating systems. Significant laboratory component applies practice with OS use, analysis, and internal design. Topics include OS organization and structure, process and thread management, memory management, file management, device management, network and distributed systems, and modern runtime systems. Prerequisites: Two years programming and instructor consent.

Offers practical experience using state-of-the-art CAD tools on high-performance workstations. Provides skills needed to rapidly create little languages for specific problem domains and familiarizes students with automated software development. Same as ECEN 5523.

Considers concepts common to a variety of programming languages -- how they are described (both formally and informally) and how they are implemented. Provides a firm basis for comprehending new languages and gives insight into the relationship between languages and machines. Same as ECEN 5533. Prerequisites: CSCI 3155 or consent of instructor.

Applies engineering principles to phases of software product development, project planning, requirements definition, design, implementation, validation, and maintenance. Emphasizes practical methods for communicating and verifying definitions and designs -- prototyping, inspections, and modeling. Includes relation to RTS and object-oriented programming. Same as ECEN 5543. Prerequisites: CSCI 1300, CSCI 2270 or consent of instructor. This course was previously titled Software System Engineering.

Examines a range of topics involved in using parallel operations to improve computational performance. Discusses parallel architectures, parallel algorithms and parallel programming languages. Architectures covered include vector computers, multiprocessors, network computers, and data flow machines. Same as ECEN 5553. Prerequisites: Background in computer organization, introduction to programming languages, elementary numerical analysis, ECEN 4593 and CSCI 3656, or instructor consent.

Intended to create a foundation for operating systems research or advanced professional practice. Examines the design and implementation of a number of research and commercial operating systems and their components, system organization and structure, threads, communication and synchronization, virtual memory, distribution, file systems, security and authentication, availability, and Internet services. Same as ECEN 5573. Prerequisites: CSCI 3753, CSCI 4593, equivalent undergraduate coursework in operating systems and computer architecture, or consent of instructor.

Introduces computing systems, software, and methods used to solve large-scale problems in science and engineering. Students use high-performance workstations and a supercomputer. Prerequisites: Recommended: CSCI 3656.

Surveys artificial intelligence methods, theories, and applications. Studies the relationship between artificial intelligence and psychology, linguistics, and philosophy. Introduces artificial intelligence programming. Same as ECEN 5583. Prerequisites: CSCI 3155 or equivalent.

Provides a broad-scope treatment of important concepts in the design and implementation of high-performance computer systems. Discusses important issues in the pipelining of a machine and the design of cache memory systems. Also studies current and historically important computer architectures. Same as ECEN 5593. Prerequisites: CSCI 4593 or consent of instructor.

Highlights computer arithmetic, solution of linear systems, least-squares approximations, nonlinear algebraic equations, interpolation, and quadrature. Prerequisites: CSCI 3656 and three semesters of calculus or equivalent.

Presents topics and techniques critical to the management of software product development, including estimating, planning, quality, tracking, reporting, team organization, people management, and legal issues. Gives special attention to problems unique to software projects. Same as ECEN 5603. Prerequisites: ECEN 4583, CSCI 5548, and CSCI 4318, or equivalent industrial experience.

Trains students to build computer systems that learn from experience. Includes the three main subfields: supervised learning, reinforcement learning and unsupervised learning. Emphasizes practical and theoretical understanding of the most widely used algorithms (neural networks, decision trees, support vector machines, Q-learning). Covers connections to data mining and statistical modeling. A strong foundation in probability, statistics, multivariate calculus, and linear algebra is highly recommended. Prerequisites: Graduate standing or consent of instructor.

Focuses on finite difference solution for partial differential equations, methods of SOR, ADI, conjugate gradients, finite element method, nonlinear problems, and applications. Prerequisites: CSCI 5606.

Offers direct and iterative solutions of linear systems. Also covers eigen value and eigenvector calculations, error analysis, and reduction by orthogonal transformation. Prerequisites: CSCI 5606.

Presents algorithms, simplex, and modifications. Examines theory -- duality and complementary slackness. Involves network flow algorithms. Introduces integer programming Prerequisites: Linear algebra.

Examines systems that span multiple autonomous computers. Topics include system structuring techniques, scalability, heterogeneity, fault tolerance, load sharing, distributed file and information systems, naming, directory services, resource discovery, resource and network management, security, privacy, ethics, and social issues. Same as ECEN 5673. Prerequisites: CSCI 5573 or a course in computer networks.

Explores context-free languages: pumping lemma and variants, closure properties, and decision properties. Involves parsing algorithms, including general and special languages, e.g., LR. Additional topics chosen by instructor. Prerequisites: CSCI 5444 or consent of instructor.

Explores algorithms that can extract information about the world from images or sequences of images. Topics covered include: imaging models and camera calibration, early vision (filters, edges, texture, stereo, optical flow), mid-level vision (segmentation, tracking), vision-based control, and object recognition. Prerequisites: Recommended: probability, multivariate calculus, and linear algebra.

Presents a broad range of system measurement and modeling techniques, emphasizing applications to computer systems. Topics include system measurement, work load characterization, and analysis of data; design of experiments; simulation; and queuing theory and queuing network models. Same as ECEN 5753. Prerequisites: CSCI 3753 or equivalent, and second-semester calculus. Recommended: a course in statistics.

Class led by a different faculty member of the Institute of Cognitive Science each week. Introduces graduate students to research in cognitive science currently underway within the institute. Prerequisites: Graduate standing or consent of instructor.

Develops a firm understanding of the general principles of computer animation and provides rigorous, hands-on training in the application of animation principles. Includes the creation of models, materials, textures, surfaces, and lighting. Introduces path and keyframe animation, particle dynamics, and rendering. This course was formerly offered as CSCI 7000 Current Topics in Computer Science: Animation for Everyone.

Provides an advanced treatment of basic database concepts. Prerequisites: CSCI 2270. Recommended: CSCI 3287 and CSCI 3753.

Explores techniques, languages, and tools for development and maintenance of software systems. Topics include specification languages, configuration modeling, testing techniques, process modeling, program annotations, and program proofs.

Explores the field of natural language processing as it is concerned with the theoretical and practical issues that arise in getting computers to perform useful and interesting tasks with natural language. Covers the problems of understanding complex language phenomena and building practical programs. Same as LING 5832. Prerequisites: Graduate standing or consent of instructor.

Provides opportunities for independent study at the master's level.

Addresses practical issues in implementation, modeling, and measurement of database systems. Centers around a significant software project. Prerequisites: CSCI 5817 and significant software experience, or consent of instructor.

Instructs new PhD students in Computer Science in how to obtain a PhD and how to become an effective member of the computer science research community. Makes students aware of formal requirements, educational objectives, and research themes. Provides evaluative criteria and guidelines for all objectives to be achieved. Prerequisites: Open only to new PhD students.

Studies methods to protect information, and the ability to process and move information, from theft, misuse, tampering, destruction, and unauthorized access. Introduces foundational topics of computer and network security, including security models, cryptography, and authentication protocols. Prerequisites: CSCI 5273.

Introduction to automatic speech recognition and understanding, conversational agents, dialogue systems, and speech synthesis/text-to-speech. Topics include the noisy channel model, Hidden Markov Models, A* and Viterbi decoding, language modeling (N-grams, entropy), concatenative synthesis, text normalization, dialogue and conversation modeling. Prerequisites: CSCI 5582, CSCI 5832, or LING 5200, and graduate standing or instructor consent.

Interdisciplinary introduction to cognitive science, examining ideas from cognitive psychology, philosophy, education, and linguistics via computational modeling and psychological experimentation. Includes philosophy of mind; learning; categorization; vision and mental imagery; consciousness; problem solving; decision making, and game-theory; language processing; connectionism. Same as EDUC 6504, LING 6200, PHIL 6310, and PSYC 6200. Prerequisites: Graduate standing, or at least one course at the 3000-level or higher in computer science, linguistics, philosophy, or psychology. No background in computer science will be presumed.

Explores chaotic dynamics theoretically and through computer simulations. Covers the standard computational and analytical tools used in nonlinear dynamics and concludes with an overview of leading-edge chaos research. Topics include time and phase-space dynamics, surfaces of section, bifurcation diagrams, fractal dimension, and Lyapunov exponents. Prerequisites: Two semesters of calculus, CSCI 1200 or equivalent, and PHYS 1110. Recommended: PHYS 1120, CSCI 3656 and MATH 3130.

Applied analysis and design class addressing the use of object-oriented techniques. Topics include domain modeling, use cases, architectural design, and modeling notations. Students apply the techniques in analysis and design projects. Prerequisites: Expertise in one or more object-oriented programming languages, such as C++ or Java.

Topics include matching and network flows, matroids, computational geometry, parallel computation (PRAM, hypercube, mesh). Also includes VLSI, database theory, distributed computation, cryptography, robotics, scheduling, probabilistic algorithms, approximation algorithms, average case, and amortized analysis, time permitting. Prerequisites: CSCI 5454.

Covers advanced theoretical and practical topics in machine learning and latest developments in the field. Students conduct original research, either applied or theoretical, and present their results. Prerequisites: CSCI 5622 or consent of instructor.

Looks at modern computational methods for solution of unconstrained optimization problems, nonlinear least squares, and systems of nonlinear equations. Techniques for building algorithms to solve problems with special structure. Prerequisites: CSCI 5606.

Covers computational methods for constrained optimization. Topics include basic theory, methods for quadratic programming, active set strategies for linear constraints, and penalty and successive quadratic programming methods for nonlinearly constrained problems. Prerequisites: CSCI 5606.

Students seeking the master of engineering degree must complete a creative investigation project, including a written report, supervised by a member of the graduate faculty. Prerequisites: Completion of 21 hours towards the ME degree.

Complements CSCI 5817. Introduces graduate students to classic research results and current trends in the database systems area. Prerequisites: CSCI 5817.

Covers techniques for creating and evaluating effective user interfaces for computing systems. Introduces relevant findings and theory from psychology and human factors, as well as implementation methods. Prerequisites: Graduate standing or consent of instructor.

For students who need to be registered for the purpose of taking the master's comprehensive exam and who are not otherwise registered. Credit does not count toward degree requirements. Graded on a pass/fail basis.

Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours. Prerequisites: Consent of instructor.

Content varies, but subjects include parallel machine architecture, parallel algorithms, languages for parallel computation, and applications. Takes subject matter from current research. Prerequisites: Consent of instructor.

Topics selected by instructor. Possible topics are system design, measurement and evaluation, simulation, mathematical modeling, and parallelism. Prerequisites: CSCI 5573.

Topics selected by instructor. Possible topics are syntax, semantics, metacompilers, compiler design, and translator writing systems. Prerequisites: Consent of instructor.

Topics selected by instructor. Possible topics are online systems, multiprocessing, microprogramming, architecture, data communications, and computing networks. May be repeated up to 6 total credit hours. Prerequisites: Consent of instructor.

Selected topics of current interest in theory of computation. Prerequisites: Consent of instructor.

Topics selected by instructor. Possible topics are numerical linear algebra, solution of differential equations, nonlinear algebra and optimization, data fitting, linear and nonlinear programming, and solution of large problems. Prerequisites: Consent of instructor.

Topics vary from year to year. Possible topics include search; knowledge representation and natural language understanding; deduction, planning, problem solving, and automatic programming; instruction and cognitive models; vision and speech; and learning, induction, and concept formation. Prerequisites: CSCI 5582 or consent of instructor.

Topics vary from year to year. Possible topics include human and machine vision, signal and speech processing, artificial life, mathematical foundations of connectionism, and computational learning theory. Prerequisites: CSCI 5622 or consent of instructor.