ECBM E3060x. Introduction To Genomic Information Science and Technology. Lect: 3 pts

Introduction to the information system paradigm of molecular biology. Representation, organization, structure, function and manipulation of the biomolecular sequences of nucleic acids and proteins. The role of enzymes and gene regulatory elements in natural biological functions as well as in biotechnology and genetic engineering. Recombination and other macromolecular processes viewed as mathematical operations with simulation and visualization using simple computer programming. This course shares lectures with ECBM E4060, but the work requirements differ somewhat.

COMS W4101x or y. Topics in Computer Science Technology. 1.5 pts. Not offered in 2009-2010. Prerequisites: Fluency in at least one programming language and familiarity with computer systems.

Introduction to current topics in computer science technology. Each section will be devoted to a specific technology. Sections may meet for 1.5 hours per week for the whole term or 3 hours per week for a half term. May be repeated for credit if different technologies are involved.

COMS W4111x and y. Introduction to Databases. Lect: 3. 3 pts. Prerequisites:COMS W3137 or W3134, fluency in Java; or permission of the instructor.

The fundamentals of database design and application development using databases: entity-relationship modeling, logical design of relational databases, relational data definition and manipulation languages, SQL, XML, query processing, physical database tuning, transaction processing, security. Programming projects are required.

COMS W4112y. Database System Implementation. 3 pts. Prerequisites:COMS W4111; fluency in Java or C++. COMS W3827 is recommended.

The principles and practice of building large-scale database management systems. Storage methods and indexing, query processing and optimization, materialized views, transaction processing and recovery, object-relational databases, parallel and distributed databases, performance considerations. Programming projects are required.

COMS W4115x and y. Programming Languages and Translators. Lect: 3. 3 pts. Prerequisites:COMS W3137 or equivalent, W3261, and CSEE W3827, or the instructor's permission.

Modern programming languages and compiler design. Imperative, object-oriented, declarative, functional, and scripting languages. Language syntax, control structures, data types, procedures and parameters, binding, scope, run-time organization, and exception handling. Implementation of language translation tools including compilers and interpreters. Lexical, syntactic and semantic analysis; code generation; introduction to code optimization. Teams implement a language and its compiler.

COMS W4117x or y. Compilers and Interpreters. Lect: 3. 3 pts. Prerequisites:COMS W4115 or the instructor's permission.

Continuation of COMS W4115, with broader and deeper investigation into the design and implementation of contemporary language translators, be they compilers or interpreters. Topics include: parsing, semantic analysis, code generation and optimization, run-time environments, and compiler-compilers. A programming project is required.

COMS W4118x and y. Operating Systems, I. Lect: 3. 3 pts. Prerequisites:CSEE W3827 and knowledge of C and programming tools as covered in W3157 or W3101, or the instructor's permission.

Design and implementation of operating systems. Topics include process management, process synchronization and interprocess communication, memory management, virtual memory, interrupt handling, processor scheduling, device management, I/O, and file systems. Case study of the UNIX operating system. A programming project is required.

CSEE W4119x and y. Computer Networks. 3 pts. Lect. 3 Corequisites:SIEO W3658 or E3600 or equivalent Introduction to computer networks and the technical foundations of the Internet, including applications, protocols, local area networks, algorithms for routing and congestion control, security, elementary performance evaluation. Several written and programming assignments required.

COMS W4121. Multimedia Information Systems. 3 pts. Prerequisites:COMS W3139 Theory and practice of multimedia information systems design, with emphasis on system architectures for multimedia storage servers. Topics include media, applications, and their requirements; current storage device, interconnect, and compression technologies; and technology trends and their impact on application areas, multimedia storage systems, video-on-demand servers, fault tolerance, real-time scheduling, and resource management. A programming project is required.

CSEE W4140x or y. Networking Laboratory. 4 pts. Lect 3 Prerequisites: CSEE 4119 or equivalent In this course, students will learn how to put "principles into practice," in a hands-on-networking lab course. The course will cover the technologies and proctocols of the internet using equipment currently available to large internet service providers such as CISCO routers and end-systems. A set of laboratory experiments will provide hands-on experience with engineering wide-area networks and will familiarize students with the Internet Protocol (IP), Address Resolution Protocal (ARP), Internet Control Message Protocol (ICMP), User Datagram Protocol (UDP) and Transmission Control Protocol (TCP), the Domain Name System (DNS), routing protocols (RIP, OSPF, BGP), network management protocols (SNMP, and application-level protocols (FTP, TELNET, SMTP).

COMS W4156x or y. Advanced Software Engineering. Lect: 3. 3 pts. Prerequisites: Any one or more of COMS W4111, COMS W4115, COMS W4118, or COMS W4444.

Assumes substantial prior software development experience in one or more of C++, Java or C#, as well as basic familiarity with using SQL. Focuses primarily on component model frameworks (EJB, .NET/COM+, Web Services) and quality assurance (code inspection, unit and integration testing, stress testing). Introduction to UML. Surveys other software lifecycle topics as time permits. Centers on an intense semester-long multi-iteration team project building an N-tier application.

COMS W4160y. Computer Graphics. Lect: 3. 3 pts. Prerequisites: COMS 3137 or 3139, 4156 is recommended. Strong programming background and some mathematical familiarity including linear algebra is required.

Introduction to computer graphics. Topics include 3D viewing and projections, geometric modeling using spline curves, graphics systems such as OpenGL, lighting and shading, and global illumination. Significant implementation is required: the final project involves writing an interactive 3D video game in OpenGL.

COMS W4162x or y. Advanced Computer Graphics. Lect: 3. 3pts Prerequisites: COMS 4160 or equivalent, or instructor's permission.

A second course in computer graphics covering more advanced topics including image and signal processing, geometric modeling with meshes, advanced image synthesis including ray tracing and global illumination, and other topics as time permits. Emphasis will be placed both on implementation of systems and important mathematical and geometric concepts such as Fourier analysis, mesh algorithms and subdivision, and Monte Carlo sampling for rendering. Note: Course will be taught every two years.

COMS W4165x. Computational Techniques In Pixel Processing. Lect: 3. 3 pts. Not offered in 2009-2010. Prerequisites:COMS W3137, W3251 (recommended), and a good working knowledge of UNIX and C.

Intended for graduates and advanced undergraduates. An intensive introduction to image processing--digital filtering theory, image enhancement, image reconstruction, antialiasing, warping, and the state-of-the-art in special effects. Topics form the basis of high-quality rendering in computer graphics and of low-level processing for computer vision, remote sensing, and medical imaging. Emphasizes computational techniques for implementing useful image-processing functions.

COMS W4167x or y. Computer Animation. Lect: 3.3pts. Prerequisites:COMS W3137 and W4156 is recommended.

Previous familiarity with C is recommended. Intensive introduction to computer animation, including: fundamental theory and algorithms for computer animation, keyframing, kinematic rigging, simulation, dynamics, free-form animation, behavioral/procedural animation, particle systems, post-production; small groups implement a significant animation project; advanced topics as time permits.

COMS W4170x. User Interface Design. Lect: 3. 3 pts. Prerequisites:COMS W3137.

Introduction to the theory and practice of computer user interface design, emphasizing the software design of graphical user interfaces. Topics include basic interaction devices and techniques, human factors, interaction styles, dialogue design, and software infrastructure. Design and programming projects are required.

COMS W4172y. 3D User Interfaces and Augmented Reality. Lect: 3. 3 pts. Prerequisites:COMS W4160 or COMS W4170 or the instructor's permission.

Design, development, and evaluation of 3D user interfaces. Interaction techniques and metaphors, from desktop to immersive. Selection and manipulation. Travel and navigation. Symbolic, menu, gestural, and multimodal interaction. Dialogue design. 3D software support. 3D interaction devices and displays. Virtual and augmented reality. Tangible user interfaces. Review of relevant 3D math.

COMS W4180x or y. Network Security. Lect: 3. 3 pts. Prerequisites:COMS W3137 and W4119, or the instructor's permission.

Introduction to network security concepts and mechanisms. Foundations of network security and an in-depth review of commonly-used security mechanisms and techniques, security threats and network-based attacks, applications of cryptography, authentication, access control, intrusion detection and response, security protocols (IPsec, SSL, Kerberos), denial of service, viruses and worms, software vulnerabilities, web security, wireless security, and privacy.

COMS W4187x or y. Security Architecture and Engineering. 3 pts. Prerequisites:COMS W4118; W4180 and/or W4119 recommended.

Secure programming. Cryptograhic engineering and key handling. Access controls. Tradeoffs in security design. Design for security.

COMS W4203y. Graph Theory. Lect: 3. 3 pts. Not offered in 2009-2010. Prerequisites:COMS W3203

General introduction to graph theory. Isomorphism testing, algebraic specification, symmetries, spanning trees, traversability, planarity, drawings on higher-order surfaces, colorings, extremal graphs, random graphs, graphical measurement, directed graphs, Burnside-Polya counting, voltage graph theory.

COMS W4205x. Combinatorial Theory. Lect: 3. 3 pts. Prerequisites:COMS W3203 and a course in calculus.

Sequences and recursions, calculus of finite differences and sums, elementary number theory, permutation group structures, binomial coefficients, Stilling numbers, harmonic numbers, generating functions.

CSOR W4231x. Analysis of Algorithms, I. Lect: 3.3pts. Prerequisites:COMS W3137 or W3139, and W3203.

Introduction to the design and analysis of efficient algorithms. Topics include models of computation, efficient sorting and searching, algorithms for algebraic problems, graph algorithms, dynamic programming, probabilistic methods, approximation algorithms, and NP-completeness.

COMS W4236y. Introduction To Computational Complexity. Lect: 3. 3 pts. Prerequisites:COMS W3261.

Develops a quantitative theory of the computational difficulty of problems in terms of the resources (eg. time, space) needed to solve them. Classification of problems into complexity classes, reductions and completeness. Power and limitations of different modes of computation such as nondeterminism, randomization, interaction and parallelism.

COMS W4241y. Numerical Algorithms and Complexity. Lect: 3. 3 pts. Prerequisites: Knowledge of a programming language. Some knowledge of scientific computation is desirable.

Modern theory and practice of computation on digital computers. Introduction to concepts of computational complexity. Design and analysis of numerical algorithms. Applications to computational finance, computational science, and computational engineering.

COMS W4242. Numerical Algorithms and Their Complexity, II. 3 pts. Prerequisite: Comp. Sci. W4241. A continuation of Comp. Sci. W4241.

COMS W4252x or y. Introduction To Computational Learning Theory. lect: 3. 3pts Prerequisites:COMS W4231 or COMS W4236 or (COMS W3203 and permission of instructor) or (COMS W3261 and permission of instructor).

Possibilities and limitations of performing learning by computational agents. Topics include computational models of learning, polynomial time learnability, learning from examples and learning from queries to oracles. Computational and statistical limitations of learning. Applications to Boolean functions, geometric functions, automata.

COMS W4261x or y. Introduction To Cryptography. Lect: 2.5. 3 pts. Prerequisites: Comfort with basic discrete math and probability. Recommended: COMS W3261 or COMS W4231.

An introduction to modern cryptography, focusing on the complexity-theoretic foundations of secure computation and communication in adversarial environments; a rigorous approach, based on precise definitions and provably secure protocols. Topics include private and public key encryption schemes, digital signatures, authentication, pseudorandom generators and functions, one-way functions, trapdoor functions, number theory and computational hardness, identification and zero knowledge protocols.

COMS W4281x or y. Introduction to Quantum Computing. Lect: 3. 3 pts Prerequisites: Knowledge of linear algebra. Prior knowledge of quantum mechanics is not required although helpful.

Introduction to quantum computing. Shor's factoring algorithm, Grover's database search algorithm, the quantum summation algorithm. Relationship between classical and quantum computing. Potential power of quantum computers.

CSEE W4340x. Computer Hardware Design. Lect: 2. 3 pts Not offered in 2009-2010. Prerequisites:ELEN E3331 plus ELEN E3910 or CSEE W3827.

Practical aspects of computer hardware design through the implementation, simulation, and prototyping of a PDP-8 processor. High-level and assembly languages, I/O, interrupts, datapath and control design, piplelining, busses, memory architecture. Programmable logic and hardware prototyping with FPGAs. Fundamentals of VHDL for register-transfer level design. Testing and validation of hardware. Hands-on use of industry CAD tools for simulation and synthesis. Lab required.

COMS W4444x. Programming and Problem Solving. Lect: 3. 3 pts. Prerequisites:COMS W3137 and W3824.

Hands-on introduction to solving open-ended computational problems. Emphasis on creativity, cooperation, and collaboration. Projects spanning a variety of areas within computer science, typically requiring the development of computer programs. Generalization of solutions to broader problems, and specialization of complex problems to make them manageable. Team-oriented projects, student presentations, and in-class participation required.

COMS W4560x. Introduction to Computer Applications in Health Care and Biomedicine. 3 pts. Prerequisites: Experience with computers and a passing familiarity with medicine and biology. Undergraduates in their senior or junior years may take this course only if they have adequate backgroud in mathematics and receive permission from the instructor

An overview of the field of biomedical informatics, combining perspectives from medicine, computer science and social science. Use of computers and information in health care and the biomedical sciences, covering specific applications and general methods, current issues, capabilities and limitations of biomedical informatics. Biomedical Informatics studies the organization of medical information, the effective management of information using computer technology, and the impact of such technology on medical research, education, and patient care. The field explores techniques for assessing current information practices, determining the information needs of health care providers and patients, developing interventions using computer technology, and evaluating the impact of those interventions.

COMS W4701x or y. Artificial Intelligence. Lect: 3. 3 pts. Prerequisites:COMS W3137.

Provides a broad understanding of the basic techniques for building intelligent computer systems. Topics include state-space problem representations, problem reduction and and-or graphs, game playing and heuristic search, predicate calculus, and resolution theorem proving, AI systems and languages for knowledge representation, machine learning and concept formation and other topics such as natural language processing may be included as time permits.

COMS W4705x. Natural Language Processing. Lect: 3. 3 pts. Prerequisites:COMS W3133, or W3134, or W3137, or W3139, or the instructor's permission.

Computational approaches to natural language generation and understanding. Recommended preparation: some previous or concurrent exposure to AI or Machine Learning. Topics include information extraction, summarization, machine translation, dialogue systems, and emotional speech. Particular attention is given to robust techniques that can handle understanding and generation for the large amounts of text on the Web or in other large corpora. Programming exercises in several of these areas.

COMS W4725x or y. Knowledge Representation and Reasoning. Lect: 3. 3 pts. Prerequisites:COMS W4701.

General aspects of knowledge representation (KR). The two fundamental paradigms (semantic networks and frames) and illustrative systems. Topics include hybrid systems, time, action/plans, defaults, abduction, and case-based reasoning. Throughout the course particular attention will be paid to design tradeoffs between language expressiveness and reasoning complexity, and issues relating to the use of KR systems in larger applications.

COMS W4731x or y. Computer Vision. Lect: 3. 3 pts. Prerequisites: The fundamentals of calculus, linear algebra, and C programming. Students without any of these prerequisites are advised to contact the instructor prior to taking the course.

Introductory course in computer vision. Topics include image formation and optics, image sensing, binary images, image processing and filtering, edge extraction and boundary detection, region growing and segmentation, pattern classification methods, brightness and reflectance, shape from shading and photometric stereo, texture, binocular stereo, optical flow and motion, 2-D and 3-D object representation, object recognition, vision systems and applications.

COMS W4733x or y. Computational Aspects of Robotics. Lect: 3. 3pts. Prerequisites:COMS W3137.

Introduction to robotics from a computer science perspective. Topics include coordinate frames and kinematics, computer architectures for robotics, integration and use of sensors, world modeling systems, design and use of robotic programming languages, and applications of artificial intelligence for planning, assembly, and manipulation.

COMS W4735x or y. Visual Interfaces To Computers. Lect: 3. 3 pts. Prerequisites:COMS W3137.

Visual input as data and for control of computer systems. Survey and analysis of architecture, algorithms, and underlying assumptions of commercial and research systems that recognize and interpret human gestures, analyze imagery such as fingerprint or iris patterns, generate natural language descriptions of medical or map imagery. Explores foundations in human psychophysics, cognitive science, and artificial intelligence.

COMS W4737x or y. Biometrics. 3 pts. Prerequisites: A background at the sophomore level in computer science, engineering, or like discipline. Corequisites: None

In this course we will explore the latest advances in biometrics as well as the machine learning techniques behind them. Students will learn how these technologies work and how they are sometimes defeated. Grading will be based on homework assignments and a final project. There will be no midterm or final exam. This course shares lectures with COMS E6737. Students taking COMS E6737 are required to complete additional homework problems and undertake a more rigorous final project. Students will only be allowed to earn credit for COMS W4737 or COMS E6737 and not both.

CBMF W4761x or y. Computational Genomics. Lect: 3. 3 pts. Prerequisites: Introductory probability and statistics and basic programming skills.

Provides comprehensive introduction to computational techniques for analyzing genomic data including DNA, RNA and protein structures; microarrays; transcription and regulation; regulatory, metabolic and protein interaction networks. The course covers sequence analysis algorithms, dynamic programming, hidden Markov models, phylogenetic analysis, Bayesian network techniques, neural networks, clustering algorithms, support vector machines, Boolean models of regulatory networks, flux based analysis of metabolic networks and scale-free network models. The course provides self-contained introduction to relevant biological mechanisms and methods.

COMS W4771y. Machine Learning. Lect: 3. 3 pts. Prerequisites: Any introductory course in linear algebra and any introductory course in statistics are both required. Highly recommended: COMS W4701 or knowledge of Artificial Intelligence.

Topics from generative and discriminative machine learning including least squares methods, support vector machines, kernel methods, neural networks, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models and hidden Markov models. Algorithms implemented in Matlab.

COMS W4772x. Advanced Machine Learning. 3 pts. Prerequisites:COMS W4771 or permission of instructor; knowledge of linear algebra & introductory probability or statistics is required.

An exploration of advanced machine learning tools for perception and behavior learning. How can machines perceive, learn from, and classify human activity computationally? Topics include Appearance-Based Models, Principal and Independent Components Analysis, Dimensionality Reduction, Kernel Methods, Manifold Learning, Latent Models, Regression, Classification, Bayesian Methods, Maximum Entropy Methods, Real-Time Tracking, Extended Kalman Filters, Time Series Prediction, Hidden Markov Models, Factorial HMMS, Input-Output HMMs, Markov Random Fields, Variational Methods, Dynamic Bayesian Networks, and Gaussian/Dirichlet Processes. Links to cognitive science.

CSEE W4823x or y. Advanced Logic Design. Lect: 3. 3 pts. Prerequisites: CSEE 3827, or a half semester introduction to digital logic, or the equivalent.

An introduction to modern digital system design. Advanced topics in digital logic: controller synthesis (Mealy and Moore machines); adders and multipliers; structured logic blocks (PLDs, PALs, ROMs); iterative circuits. Modern design methodology: register transfer level modelling (RTL); algorithmic state machines (ASMs); introduction to hardware description languages (VHDL or Verilog); system-level modelling and simulation; design examples.

CSEE W4824x or y. Computer Architecture. Lect: 3. 3 pts. Prerequisites:CSEE W3827 or the equivalent.

Focuses on advanced topics in modern computer architecture, illustrated by recent case studies. Fundamentals of quantitative analysis. Pipelined, out-of-order, and speculative execution. Superscalar, VLIW and vector processors. Embedded processors. Memory hierarchy design. Multiprocessors and thread-level parallelism. Synchronization and cache coherence protocols. Interconnection networks.

CSEE W4825y. Digital Systems Design. Lect: 3. 3 pts. Not offered in 2009-2010. Prerequisites:CSEE W3827.

Dynamic logic, field programmable gate arrays, logic design languages, multipliers. Special techniques for multi-level NAND and NOR gate circuits. Clocking schemes for one- and two-phase systems. Fault checking: scan method, built-in-test. Survey of logic simulation methods. Other topics to be added as appropriate.

CSEE W4840y. Embedded Systems. Lect: 3. 3 pts. Prerequisites:CSEE W4823.

Embedded system design and implementation combining hardware and software. I/O, interfacing, and peripherals. Weekly laboratory sessions and term project on design of a microprocessor-based embedded system including at least one custom peripheral. Knowledge of C programming and digital logic required.

COMS W4901x and y. Projects In Computer Science. 1 to 3 pts. Prerequisites: Approval by a faculty member who agrees to supervise the work.

A second-level independent project involving laboratory work, computer programming, analytical investigation, or engineering design. May be repeated for credit, but not for a total of more than 3 points of degree credit. Consult the department for section assignment.

COMS W4910x and y. Curricular Practical Training. 1 pt. Prerequisites: Obtained internship and approval from faculty advisor.

Only for MS students in the Computer Science department who need relevant work experience as part of their program of study. Final report required. This course may not be taken for pass/fail credit or audited.

COMS W4995x or y. Special Topics In Computer Science, I. Lect: 3.3pts. Prerequisites: The instructor's permission.

Special topics arranged as the need and availability arises. Topics are usually offered on a one-time basis. Since the content of this course changes each time it is offered, it may be repeated for credit. Consult the department for section assignment.

COMS W4996x or y. Special Topics In Computer Science, II. Lect: 3. 3 pts. Prerequisites: The instructor's permission.

A continuation of COMS W4995 when the special topic extends over two terms.

COMS W4999y. Computing and the Humanities. Lect: 3. 3 pts. Not offered in 2009-2010.

Text databases. Language applications, such as machine translation, information and retrieval, and computational stylistics (determining authorship). Digital library applications, including issues in text acquisition, text markup, networking display, and user interfaces. Educational applications. Legal reasoning, history applications involving inferencing and databases.

COMS E6111y. Advanced Database Systems. 3 pts. Lect: 2. Prerequisites:COMS W4111 and knowledge of Java or instructor's permission.

Continuation of COMS W4111, covers latest trends in both database research and industry: information retrieval, web search, data mining, data warehousing, OLAP, decision support, multimedia databases, and XML and databases. Programming projects required.

COMS E6113y. Topics In Database Systems. Lect: 2. 3pts. Not offered in 2009-2010. Prerequisites:COMS W4111. Concentration on some database paradigm, such as deductive, heterogeneous, or object-oriented, and/or some database issue, such as data modeling, distribution, query processing, semantics, or transaction management. A substantial project is typically required. May be repeated for credit with instructor's permission.

COMS E6117x or y. Topics In Programming Languages and Translators. 3 pts. Lect: 2. Prerequisites:COMS W4115 or instructor's permission. Concentration on the design and implementation of programming languages, and tools focused on advanced applications in new areas in software verification, distributed systems, programming in the large, and web computing. A substantial project is typically required. May be repeated for credit.

COMS E6118y. Operating Systems, II. 3 pts. Lect: 2. Not offered in 2009-2010. Prerequisites:COMS W4118. Corequisites:COMS W4119 Continuation of COMS W4118 , with emphasis on distributed operating systems. Topics include interfaces to network protocols, distributed run-time binding, advanced virtual memory issues, advanced means of interprocess communication, file system design, design for extensibility, security in a distributed environment. Investigation is deeper and more hands-on than in COMS W4118. A programming project is required.

COMS E6123x or y. Programming Environments and Software Tools (Pest). 3 pts. Lect: 2. Prerequisites: At least one COMS W41xx or COMS E61xx course and/or COMS W4444, or the instructor's permission. Strongly recommended: COMS W4156. Software methodologies and technologies concerned with development and operation of today's software systems. Reliability, security, systems management and societal issues. Emerging software architectures such as enterprise and grid computing. Term paper and programming project. Seminar focus changes frequently to remain timely.

COMS E6125y. Web-Enhanced Information Management (Whim). Lect: 2. 3pts. Prerequisites: At least one COMS W41xx or COMS E61xx course and/or COMS W4444, or the instructor's permission. Strongly recommended: COMS W4111. History of hypertext, markup languages, groupware and the Web. Evolving Web protocols, formats and computation paradigms such as HTTP, XML and Web Services. Novel application domains enabled by the Web and societal issues. Term paper and programming project. Seminar focus changes frequently to remain timely.

COMS E6160x or y. Topics In Computer Graphics. Lect: 2. 3 pts Prerequisites:COMS W4160 or instructor's permission. An advanced graduate course, involving study of an advanced research topic in Computer Graphics. Content varies between offerings, and the course may be repeated for credit. Recent offerings have included appearance models in graphics, and high quality real-time rendering.

COMS E6174y. Interaction Design: A Perceptual Approach. 3 pts. Prerequisites: CS W4170 or instructor's permission

Design methology for special-purpose user interfaces. Emphasis on how psychology and perception inform good design. Interviewing and task modeling, participatory design, and low-fidelilty prototyping. Applications of brain research, graphic design and art to develop custom user interfaces components, screen layouts, and interaction techniques for application-specific systems.

COMS E6176x or y. User Interfaces for Mobile and Wearable Computing. Lect: 2. 3 pts. Prerequisites:COMS W4170 or the instructor's permission. Introduction to research on user interfaces for mobile and wearable computing through lectures, invited talks, student-led discussions of important papers, and programming projects. Designing and authoring for mobility and wearability. Ubiquitous/pervasive computing. Collaboration with other users. Display, interaction, and communication technologies. Sensors for tracking position, orientation, motion, environmental context, and personal context. Applications and social consequences.

CSEE E6180x or y. Modeling and Performance. 3 pts. Lect: 2. Prerequisites:COMS W4118 and SIEO W4150 Introduction to queuing analysis and simulation techniques. Evaluation of time-sharing and multiprocessor systems. Topics include priority queuing, buffer storage, and disk access, interference and bus contention problems, and modeling of program behaviors.

COMS E6181x or y. Advanced Internet Services. 3 pts. Lect: 2. In-depth survey of protocols and algorithms needed to transport multimedia information across the Internet, including audio and video encoding, multicast, quality-of-service, voice-over-IP, streaming media and peer-to-peer multimedia systems. Includes a semester-long programming project.

COMS E6183x or y. Advanced Topics in Network Security. 3 pts. Prerequisites:COMS W4180, CSEE 4119 and COMS W4261 recommended. Review the fundamental aspects of security, including authentication, authorization, access control, confidentiality, privacy, integrity, and availability. Review security techniques and tools, and their applications in various problem areas. Study the state of the art in research. A programming project is required.

COMS E6184y. Seminar on Anonymity and Privacy. 3 pts. Not offered in 2009-2010. Prerequisites:COMS W4261 or W4180 or CSEE W4119 or the instructor's permission. This course will cover the following topics: Legal and social framework for privacy. Data mining and databases. Anonymous commerce and internet usage. Traffic analysis. Policy and national security considerations. Classes are seminars with students presenting papers and discussing them. Seminar focus changes frequently to remain timely.

COMS E6185x or y. Intrusion and Anomaly Detection Systems. Lect: 2. 2pts. Prerequisites:COMS W4180 Network Security. Corequisites:COMS W4180 Network Security. The state of threats against computers, and networked systems. An
overview of computer security solutions and why they fail. Provides a detailedtreatment for Network and Host-based Intrusion Detection and Intrusion Prevention systems. Considerable depth is provided on anomaly detection systems to detect new attacks. Covers issues and problems in email (spam, and viruses) and insider attacks (masquerading and impersonation).

COMS E6204x or y. Topics In Graph Theory. 3 pts. Lect: 2. Prerequisites:COMS W4203 or instructor's permission. Content varies from year to year. This course may be repeated for credit. Concentration on some aspect of graph theory, such as topological graph theory, algebraic graph theory, enumerative graph theory, graphical optimization problems, or matroids.

COMS E6206x or y. Topics In Combinatorial Theory. 3 pts. Lect: 2. Prerequisites:COMS W4203 or W4205, or instructor's permission. Concentration on some aspect of combinatorial theory. Content varies form year to year. This course may be repeated for credit.

COMS E6232x or y. Analysis of Algorithms, II. Lect: 2. 3pts. Prerequisites: COMS W 4231. Continuation of COMS W4231.

COMS E6253y. Advanced Topics in Computational Learning Theory. 3 pts. Not offered in 2009-2010. Prerequisites:COMS W4231 or equivalent, COMS W4252 or COMS W4236 helpful but not required.

In-depth study of inherent abilities and limitations of computationally efficient learning algorithms. Algorithms for learning rich Boolean function classes in online, Probably Approximately Correct, and exact learning models. Connections with computational complexity theory emphasized. Substantial course project or term paper required.

COMS E6261x or y. Advanced Cryptography. Lect: 3. 3 pts. Prerequisites:W4261 A study of advanced cryptographic research topics such as: secure computation, zero knowledge, privacy, anonymity, cryptographic protocols. Concentration on theoretical foundations, rigorous approach, and provable security. Contents varies between offerings. May be repeated for credit.

COMS E6291x or y. Theoretical Topics In Computer Science. 3 pts. Lect: 3. Prerequisites: Instructor's permission. Concentration on some theoretical aspect of computer science. Content varies from year to year. May be repeated for credit.

COMS E6732x or y. Computational Imaging. 3 pts. Lect: 3. Prerequisites:COMS W4731 or the instructor's permission. Computational imaging uses a combination of novel imaging optics and a computational module to produce new forms of visual information. Survey of the state of art in computational imaging. Review of recent papers on: omni directional and panoramic imaging, catadioptric imaging, high dynamic range imaging, mosaicing and superresolution. Classes are seminars with the instructor, guest speakers, and students presenting papers and discussing them.

COMS E6733x or y. 3 -D Photography. Lect: 2. 3pts Prerequisites: Experience with at least one of the following topics: Computer Graphics, Computer Vision, Pixel Processing, Robotics or Computer Aided Design, or permission of the instructor. Programming proficiency in C, C++ or JAVA. Programming proficiency in C, C++ or JAVA. 3D Photography - the process of automatically creating 3D, texture-mapped models of objects in detail. Applications include robotics, medicine, graphics, virtual reality, entertainment and digital movies etc. Topics include 3D data acquisition devices, 3D modeling systems and algorithms to acquire, create, augment, manipulate, render, animate and physically build such models.

COMS E6734y. Computational Photography. 3 pts. Prerequisites:COMS W4160, COMS W4731, or a working knowledge of photography are recommended.

Students should have knowledge in any of three core areas: computer vision, computer graphics, or photography. Computational techniques are used to produce a new level of images and visual representations. Topics include: HDR imaging, feature matching using RANSAC, image mosaics, image-based rendering, motion magnification, camera lens arrays, programmable lighting, face detection, single and multi-view geometry, and more.

COMS E6735y. Visual Databases. 3 pts. Not offered in 2009-2010. Prerequisites:COMS W3133, W3134, or W3137 required. COMS W4731 COMS W4735 helpful but not required. Contact Instructor if uncertain.

The analysis and retrieval of large collections of image and video data, with emphasis on visual semantics, human psychology, and user interfaces. Low-level processing: features and similarity measures; shot detection; key frame selection; machine learning methods for classification. Middle-level processing: organizational rules for videos, including unedited (home, educational), semi-edited (sports, talk shows), edited (news, drama); human memory limits; progressive refinement; visualization techniques; incorporation of audio and text. High-level processing: extraction of thematic structures; ontologies, semantic filters, and learning; personalization of summaries and interfaces; detection of pacing and emotions. Examples and demonstrations from commercial and research systems throughout. Substantial course project or term paper required.

COMS E6737x or y. Biometrics. 3 pts. Prerequisites: A background at the sophomore level in computer science, engineering, or like discipline. Corequisites: None

In this course we will explore the latest advances in biometrics as well as the machine learning techniques behind them. Students will learn how these technologies work and how they are sometimes defeated. Grading will be based on homework assignments and a final project. There will be no midterm or final exam. This course shares lectures with COMS W4737. Students taking COMS E6737 are required to complete additional homework problems and undertake a more rigorous final project. Students will only be allowed to earn credit for COMS W4737 or COMS E6737 and not both.

CSEE E6824y. Parallel Computer Architecture. 3 pts. Lect: 2. Not offered in 2009-2010. Prerequisites:CSEE W4824

Parallel computer principles, machine organization and design of parallel systems including parallelism detection methods, synchronization, data coherence and interconnection networks. Performance analysis and special purpose parallel machines.

CSEE E6831y. Sequential Logic Circuits. 3 pts. Lect: 3. Not offered in 2009-2010. Prerequisites:CSEE W3827 or any introduction to logic circuits Generation and manipulation of flow table descriptions to asynchronous sequential functions. Coding of flow tables to satisfy various design criteria. Delays, races, hazards, metastability. Analysis of latches to determine key parameters. Bounds of input rates. Clocking schemes for synchronous systems. Synthesis of self-timed systems using 4-phase or 2-phase handshakes.

CSEE E6832x or y. Topics In Logic Design Theory. 3 pts. Lect: 3. Prerequisites:CSEE W3827 or any introduction to logic circuits. A list of topics for each offering of the course is available in the department office one month before registration. May be taken more than once if topics are different Iterative logic circuits applied to pattern recognition. Finite state machines; alternative representations, information loss, linear circuits, structure theory. Reliability and testability of digital systems.

CSEE E6847y. Distributed Embedded Systems. Lect: 2. 3 pts. Not offered in 2009-2010. Prerequisites: Any COMS411X, CSEE48XX or ELEN43XX course, or permission of the instructor.

An inter-disciplinary graduate-level seminar on the design of distributed embedded systems. System robustness in the presence of highly variable communication delays and heterogeneous component behaviors. The study of the enabling technologies (VLSI circuits, communication protocols, embedded processors, RTOSs), models of computation, and design methods. The analysis of modern domain-specific applications including on-chip micro-networks, multiprocessor systems, fault-tolerant architectures, and robust deployment of embedded software. Research challenges such as design complexity, reliability, scalability, safety, and security. The course requires substantial reading, class participation and a research project.

CSEE E6861y. Computer-Aided Design of Digital Systems. 3 pts. Lect: 2 hours Prerequisites:(i) one semester of advanced digital logic (CSEE4823 or equivalent, or instructor's permission); and (ii) a basic course in data structures and algorithms (CS3133, 3134, 3137, 3139 or 3157, or equivalent, and familiarity with programming.

Introduction to modern digital CAD synthesis and optimization techniques. Topics include: modern digital system design (high-level synthesis, register-transfer level modeling, algorithmic state machines, optimal scheduling algorithms, resource allocation and binding, retiming), controller synthesis and optimization, exact and heuristic two-level logic minimization, advanced multi-level logic optimization, optimal technology mapping to library cells (for delay, power and area minimization), advanced data structures (binary decision diagrams), SAT solvers and their applications, static timing analysis, and introduction to testability. Includes hands-on small design projects using and creating CAD tools.

EECS E6870x or y. Speech Recognition. 3 pts. Prerequisites: Basic probability and statistics

Theory and practice of contemporary automatic speech recognition. Gaussian mixture distributions, hidden Markov models, pronunciation modeling, decision trees, finite-state transducers, and language modeling. Selected advanced topics will be covered in more depth.

COMS E6900x and y. Tutorial In Computer Science. 1-3 pts. Prerequisites: Instructor's permission. A reading course in an advanced topic for a small number of students, under faculty supervision.

COMS E6901x. Projects In Computer Science. 1-12 pts. Prerequisites: Instructor's permission.

Software or hardware projects in computer science. Before registering, the student must submit a written proposal to the instructor for review. The proposal should give a brief outline of the project, estimated schedule of completion, and computer resources needed. Oral and written reports are required. May be taken over more than one semester, in which case the grade will be deferred until all 12 points have been completed. No more than 12 points of COMS E6901 may be taken. Consult the department for section assignment.

COMS E6902x and y. Thesis. 1-9 pts. Available to MS and CSE candidates. An independent investigation of an appropriate problem in computer science carried out under the supervision of a faculty member. A formal written report is essential and an oral presentation may also be required. May be taken over more than one semester, in which case the grade will be deferred until all 9 points have beem completed. No more than 9 points of COMS E6902 may be taken. Consult the department for section assignment.

COMS E6998x and y. Topics in Computer Science. 3 pts. Prerequisites: Instructor's permission. Selected topics in computer science. Content varies from year to year. May be repeated for credit.

COMS E6999x and y. Topics In Computer Science, II. 3 pts. Prerequisites:COMS E6998 Continuation of COMS E6998.

COMS E9800x and y. Directed Research in Computer Science. 1 - 15 pts. Prerequisites: Submission of an outline of the proposed research for approval by the faculty member who will supervise. The department must approve the number of points. May be repeated for credit. This course is only for Eng.Sc.D. candidates.

COMS E9910x and y. Graduate Research I. 1-6 pts. Prerequisites: Prerequisites: Submission of an outline of the proposed research for approval by the faculty member who will supervise. The department must approve the number of credits. May be repeated for credit. This course is only for MS candidates holding GRA or TA appointments. Note: It is NOT required that a student take Graduate Research I prior to taking Graduate Research II. Consult the department for section assignment.

COMS E9911x and y. Graduate Research II. 1-15 pts. Prerequisites: Prerequisites: Submission of an outline of the proposed research for approval by the faculty member who will supervise. The department must approve the number of points. May be repeated for credit. This course is only for MS/PhD track students. Note: It is NOT required that a student take Graduate Research I prior to taking Graduate Research II. Consult the department for section assignment.