UMass Amherst

Department of Computer Science
 

Computer Science Course Descriptions for Fall of 2007

CMPSCI 105: Computer Literacy (R2)

Professor: Verts

Microcomputers are now used widely in all areas of modern life. For this reason it's important that all students understand how computers work and how computers can be used as a problem-solving tool. The focus of this course is on computer applications. The course stresses the ways in which computers can help you solve problems efficiently and effectively. The course provides a broad introduction to hardware, software, and mathematical aspects of computers. Then four application areas are discussed: word processing, spreadsheets, databases and telecommunications (access to the Internet). Weekly lab assignments are an integral part of the course. There are optional lab times set up for students who do not have the proper equipment available to them. Students who are more interested in computer programming should take CMPSCI 121 or 187. Prerequisites: reasonable high school math skills. Typing ability is also an important asset for the course. Previous computer experience is not expected. Pre-registration is not available to majors and pre-majors. 3 credits.

CMPSCI 120: Introduction to Problem Solving with the Internet (R2)

Professor: Kirlin

The Internet is a goldmine of information and software resources for those who know how to plug in and navigate it. Originally designed by computer scientists for computer scientists, the net is now a driving force behind life in the information age and a new global economy. This course will provide non-CMPSCI majors with timely skills needed to tap the net. We will cover Web browser features, e-mail management, Web page design, software downloads, strategies for finding information and virtual communities, and public key cryptography. In addition, we will survey key social and political topics that are relevant to the Internet, such as copyright laws, First Amendment issues, privacy in a digital world, and the culture of the Internet. Prerequisites: some hands-on experience with PCs or MACs or UNIX (programming experience is NOT required). CMPSCI majors and pre-majors may not pre-register. 3 credits.

CMPSCI 121: Introduction to Problem Solving with Computers (R2)

Professor: Moll

CMPSCI 121 provides an introduction in problem solving and computer programming using the programming language Java. It teaches how real-world problems can be solved computationally using the programming constructs and data abstractions of a modern programming language. Concepts and techniques covered include data types, expressions, objects, methods, top-down program design, program testing and debugging, state representation, interactive programs, data abstraction, conditionals, iteration, interfaces, inheritance, lists and arrays. No previous programming experience required. Use of computer is required. Prerequisite: R1. 3 credits.

CMPSCI 123(191B): Introduction to JAVA II

Professor: Lehnert

CmpSci 191B (123) is a programming course in Java for students who have previous programming experience in Java, C or C++. Students will be introduced to a variety of advanced topics such as inheritance, polymorphism, interface design, threads, and design patterns. Object-oriented concepts will be covered in great detail, but 123 assumes general familiarity with basic programming concepts such as arithmetic operators, boolean operators, conditional control structures, iterative control structures, and arrays. Students will have an opportunity to strengthen object-oriented programming skills through a series of required programming projects. 3 credits.

CMPSCI 145(195A): Representing, Storing, and Retrieving Information

Professor: Verts

An introductory course in the use of data in computer systems, a core course for the Information Technology certificate. Formats for representing text, numbers, sound, images, etc., as strings of bits. Equations of lines and courves, modeling of synthetic scenes (i.e., ray tracing), exploring the frequency domain and holography. Basic information theory, use and limitations of file compression and encryption. Structured databases and how to use them. Information retrieval in heterogenous environments such as the Web. XML as a language for defining new formats for representing data. Review of historical, pre-computer methods of information representation. Prerequisites: "Basic computer literacy", i.e., user-level familiarity with a modern operating system and some experience with application programs. Tier I math skills. Recommended for First Year and Sophomore Non-Majors. Prerequisite: R1. 3 credits.

CMPSCI 187: Programming with Data Structures (R2)

Professor: Brock

The course introduces and develops methods for designing and implementing abstract data types using the Java programming language. The main focus is on how to build and encapsulate data objects and their associated operations. Specific topics include linked structures, recursive structures and algorithms, binary trees, balanced trees, and hash tables. There will be weekly assignments, consisting of programming and written exercises, a midterm, and a final exam. Prerequisites: CMPSCI 121H (or equivalent Java experience) and Basic Math Skills (R1). Basic Java language concepts are introduced quickly; if unsure of background, contact instructor. 4 credits.

CMPSCI 191A: CMPSCI TAP Seminar

Professor: Wileden

Conversations with members of the UMass CMPSCI community, to explore issues in and subareas of computer science. Open only to first-year students in the CMPSCI TAP residential program. 1 credit.

CMPSCI 196A: Independent Study - Teaching Assistant for CMPSCI 120

Professor: Staff

CMPSCI 201: Architecture and Assembly Language (E)

Professor: Utgoff

Lecture, discussion, lab. The architecture and machine-level operations of modern computers at the logic, component, and system levels. Topics include integer, scaled, and floating point binary arithmetic; Boolean algebra and logic gates; control, arithmetic-logic, and pipeline units; addressing modes; cache, primary, and virtual memory; system buses; input-output and interrupts. Simple assembly language for a modern embedded processor is used to explore how common computational tasks are accomplished by a computer. Two lectures and one discussion per week. Laboratory exercises, homework exercises, in-class quizzes, two midterm exams, and a final exam. Prerequisite: CMPSCI 187 or ECE 242 or equivalent. 4 credits.

CMPSCI 250: Introduction to Computation (E)

Professor: Barrington

Lecture, discussion. Basic concepts of discrete mathematics useful to computer science: set theory, strings and formal languages, propositional and predicate calculus, relations and functions, basic number theory. Induction and recursion: interplay of inductive definition, inductive proof, and recursive algorithms. Elementary combinatorics. Finite-state machines, regular languages, nondeterministic finite automata, Kleene's Theorem. Problem sets, 2-3 midterm exams, timed final. Corequisite: MATH 132/136 or equivalent. Prerequisite: MATH 131 and (CMPSCI 187 or ECE 242). 4 credits.

CMPSCI 287: Programming Language Paradigms

Professor: Lehnert

Lecture, discussion, programming projects. Programming language paradigms provide a basic philosophy to support the construction of reliable large-scale systems. This course discusses four such paradigms. In the functional paradigm, software is constructed in such a way as to minimize the use of side-effects, thereby simplifying the conceptual structure of programs and making them easier to analyze and understand. The logic paradigm supports the development of software in which the concept of relation (e.g. a relation between people) is more important than the concept of function. In the imperative paradigm we are concerned with principled ways in which software that is state-dependent can be constructed. Finally, in the object-oriented paradigm we are concerned with combining data with code to create "objects" which exhibit behavior. Prerequisite: CMPSCI 187 or ECE 242. Corequisites: CMPSCI 250 and MATH 132. 4 credits.

CMPSCI 291E: Seminar - Electronic Identification Lab

Professor: Fu

The Electronic Identification Lab will teach students how to build systems that use Radio Frequency Identification (RFID). Students must have performed well in 201 and should be familiar with basic computer architecture. The class will be very hands-on and will involve (1) building RFID readers and tags, and (2) implementing modifications to a microcontroller-based RFID tag. There may be an extra fee for students to purchase special-purpose equipment (estimated between $100-$200). 1 credit.

CMPSCI 291U: Seminar - Usability

Professor: Corner

In this course we examine the important problems in Usability, Human Computer Interaction, User Interfaces, and Human Centered Computing. We will examine elements of HCI history, understanding human capabilities, HCI design, several methods for prototyping user interfaces, and new applications and paradigms in human computer interaction. This is not a course in how to make dialog boxes, but rather a much more general approach to interacting with human beings and evaluating designs. Some elementary programming in Flash (or another user interface prototyping tool) may be required, but people without prior programming experience should feel right at home in this class. This is offered simultaneously at a 200-level and a 400-level. The 200-level course is available to any undergraduate student, not just computer scientists. IT-minor students are especially encouraged to participate. The 400-level version, available only to junior and senior computer science majors, will require extra work and will be graded on a separate scale. Several group projects and exams will be required. No prerequisites. 3 credits.

CMPSCI 305: Social Issues in Computing

Professor: Constantine

Designed to satisfy the Junior Year writing requirement, CMPSCI 305 introduces the student to technical writing and editing, scientific journalism and the social essay. The course combines practical, scientific writing as found in industry and business with explorative essays that focus attention upon the technological and humanistic concerns inherent in society. Ten written assignments-two longer papers, eight shorter ones and one oral presentation. Prerequisite: ENGLWP 112 or CW. 3 credits.

CMPSCI 311: Introduction to Algorithms

Professor: Siegelmann

This course will introduce you to algorithms in a variety of areas of interest, such as sorting, searching, string-processing, and graph algorithms. You will learn to study the performance of various algorithms within a formal, mathematical framework. You will also learn how to design very efficient algorithms for many kinds of problems. There will be a few programming assignments as well to help you relate the empirical performance of an algorithm to theoretical predictions. Mathematical experience (as provided by CMPSCI 250) is required. You should also be able to program in Java (or some other closely related language). Prerequisite: CMPSCI 250 or MATH 455. 4 credits.

CMPSCI 320: Introduction to Software Engineering

Professor: Fisher

In this course, students learn and gain practical experience with software engineering principles and techniques. The practical experience centers on a semester-long team project in which a software development project is carried through all the stages of the software life cycle. Topics in this course include requirements analysis, specification, design, abstraction, programming style, testing, maintenance, communication, teamwork, and software project management. Particular emphasis is placed on communication and negotiation skills and on designing and developing maintainable software. Use of computer required. Several written assignments, in-class presentations, major term project. Prerequisite: CMPSCI 287. 4 credits.

CMPSCI 377: Operating Systems

Professor: Berger

In this course we examine the important problems in operating system design and implementation. The operating system provides a well-known, convenient, and efficient interface between user programs and the bare hardware of the computer on which they run. The operating system is responsible for allowing resources (e.g., disks, networks, and processors) to be shared, providing common services needed by many different programs (e.g., file service, the ability to start or stop processes, and access to the printer), and protecting individual programs from one another. The course will start with a brief historical perspective of the evolution of operating systems over the last fifty years, and then cover the major components of most operating systems. This discussion will cover the tradeoffs that can be made between performance and functionality during the design and implementation of an operating system. Particular emphasis will be given to three major OS subsystems: process management (processes, threads, CPU scheduling, synchronization, and deadlock), memory management (segmentation, paging, swapping), file systems, and operating system support for distributed systems. Prerequisites: CMPSCI 187 and (CMPSCI 201 or ECE 232). 4 credits.

CMPSCI 383: Artificial Intelligence

Professor: Jensen

This course explores key concepts of artificial intelligence, including knowledge representation, state-space search, and reasoning under uncertainty. We will examine how these concepts are applied in game playing and adaptive systems, two areas where AI concepts have proven to be extraordinarily successful. Prerequisites: CMPSCI 250, CMPSCI 287, and CMPSCI 311. 3 credits.

CMPSCI 391B: Seminar - Image Processing and Computer Vision: Under the Hood of Adobe Photoshop

Professor: Hanson

This is a new experimental course being offered for the first time Fall 2007. It is designed to introduce basic topics in image processing and computer vision to Computer Science minors, IT majors, and other interested parties. The goal is to explore basic concepts in these topics through their use and implementation in Adobe Photoshop (a commercial image processing package). We will look at methods for manipulating images, image pixels, and color information by considering the effect an operator has on the image, how that operator might be implemented, and the underlying rationale for the operator. For example, how does the Gaussian blur operator in Photoshop work? What might it be used for? What s the theory behind it? In the process, we will also get a better idea how to fix or remove common photographic errors, such as red-eye , underexposed images, motion blur, and image color balance. Math requirements are minimal: a semester of calculus. 3 credits.

CMPSCI 391C: Seminar - Computer Forensics

Professor: ** Section Deleted

Course Description not on file. 3 credits.

CMPSCI 391F: Seminar - Fundamentals of Graphic Communication

Professor: Woolf, Sindelar

This course provides an understanding of computer-based design and multimedia production. Basic concepts in the areas of graphic design, animation, video editing and object-oriented programming will be covered preparing students for more advanced studies in 2D and 3D animation and in multimedia programming. Course work consists mainly of several student projects, built incrementally as several smaller sub-projects. Each student s project will be presented via the World Wide Web and discussed in class. Students interaction is encouraged through peer reviews and in-class exercises. Topics include HTML, Cascading Style Sheets (CSS), file transfer, designing and drawing characters, image formats/image compression for the web, modeling and animation. 3 credits.

CMPSCI 397B: Three-Dimensional Modeling and Digital Editing

Professor: Woolf

This seminar is dedicated to the production of high quality 3-dimensional computer modles using graphics technology. For example, color 3-D objects are defined and manipulated, digitized images created and altered, and photo-realistic effects and animated sequences produced. Techniques are used to bend and twist shapes around objects or lines, to provide a variety of light and texture, and to trace over images including digitized pictures. We focus on development of humanoid characters. Each student will design his/her own character and lectures and homework will support students to model faces and bodies. Modeling topics include designing, joints, creating chains with constraints and producing realistic facial movement. 3 credits.

CMPSCI 397B(C.E.): Three-Dimensional Modeling and Digital Editing

Professor: Woolf

This seminar is dedicated to the production of high quality 3-dimensional computer modles using graphics technology. For example, color 3-D objects are defined and manipulated, digitized images created and altered, and photo-realistic effects and animated sequences produced. Techniques are used to bend and twist shapes around objects or lines, to provide a variety of light and texture, and to trace over images including digitized pictures. We focus on development of humanoid characters. Each student will design his/her own character and lectures and homework will support students to model faces and bodies. Modeling topics include designing, joints, creating chains with constraints and producing realistic facial movement. 3 credits.

CMPSCI 397D: Interactive Web Animation

Professor: Woolf, Agresta

This course teaches basic animation for the Web, interactivity, color theory, design, action scripting, and transitions. Students maintain their own web sites and submit projects every 2 weeks in Flash. Individual as well as, a final project are required. Knowledge of basic Web development, e.g., HTML, Java Script. Prerequisite: CMPSCI 391F or 391S; CMPSCI 551 and CMPSCI 552 preferred. Permission of instructor is required. 3 credits.

CMPSCI 397D(C.E.): Interactive Web Animation

Professor: Woolf, Agresta

This course teaches basic animation for the Web, interactivity, color theory, design, action scripting, and transitions. Students maintain their own web sites and submit projects every 2 weeks in Flash. Individual as well as, a final project are required. Knowledge of basic Web development, e.g., HTML, Java Script. Prerequisite: CMPSCI 391F or 391S; CMPSCI 551 and CMPSCI 552 preferred. Permission of instructor is required. 3 credits.

CMPSCI 397E: Seminar - Character Animation

Professor: Woolf

This class focuses exclusively on character animation techniques. Animation topics include action andpose, timing, overlap, pacing, and simulating and exaggerating physical laws. Constraints will be used to create animation and lipsync. Voice tracks will be used to simulate speech. Student will create their own final project or work in a small team. 3 credits.

CMPSCI 397E(C.E.): Seminar - Character Animation

Professor: Woolf

This class focuses exclusively on character animation techniques. Animation topics include action andpose, timing, overlap, pacing, and simulating and exaggerating physical laws. Constraints will be used to create animation and lipsync. Voice tracks will be used to simulate speech. Student will create their own final project or work in a small team. 3 credits.

CMPSCI 410: Compiler Techniques

Professor: Moss

This course explores the basic problems in the translation of programming languages focusing on theory and common implementation techniques for compiling traditional block structured programming languages to produce assembly or object code for typical machines. The course involves a substantial laboratory project in which the student constructs a working compiler for a considerable subset of a realistic programming language. The lectures are augmented by an optional discussion section that covers details of the programming language used to build the compiler, the operating system, the source language, and various tools. Use of computer required. Text: Crafting a Compiler in C, by Fischer and LeBlanc. Prerequisites: (CMPSCI 250 or MATH 455) and CMPSCI 377. 3 credits.

CMPSCI 445: Information Systems

Professor: Diao

Introduction to database management. Relational database topics include data modeling, query languages, database design, and query optimization. Alternative data management approaches will be covered, including semi-structured data, XML, and text retrieval. Application topics will include web data management, integration of data sources, security and privacy. Prerequisite: CMPSCI 287. 3 credits.

CMPSCI 453: Computer Networks

Professor: Venkataramani

This course provides an introduction to fundamental concepts in the design and implementation of computer communication networks, their protocols, and applications. Topics to be covered include: layered network architectures, applications, network programming interfaces (e.g., sockets), transport, congestion, routing, and data link protocols, local area networks, emerging high-speed networks, network management, and network security. Examples will be drawn primarily from the Internet (e.g., TCP, UDP, and IP) protocol suite. There will be written assignments, programming assignments (in C), one midterm, and a final exam. Prerequisites: A rudimentary understanding of computer architecture and operating systems, while not required, would be helpful. 3 credits.

CMPSCI 491C: Seminar - Digital Forensics

Professor: Levine

This course offers a broad introduction to the forensic investigation of digital devices. We will cover the preservation, recovery, harvesting, and courtroom presentation of information from file systems, operating systems, networks, database systems, applications, media files, and embedded systems. We will review the use of some professional tools that automate data harvesting, however, the primary goal of the class is to understand why and from where information is recoverable in these systems. the course is aimed for persons who are new to these systems - in fact, the course is an excellent introduction to file systems, databases, etc. as preparation for later enrollment in such classes as 377, 445, or 453. For a small portion of the class, we will cover some relevant issues from criminology, law, and the study of privacy. Because the homework involves programming, CMPSCI 287 is a prerequisite. 3 credits.

CMPSCI 491I: Seminar - Usability

Professor: Corner

In this course we examine the important problems in Usability, Human Computer Interaction, User Interfaces, and Human Centered Computing. We will examine elements of HCI history, understanding human capabilities, HCI design, several methods for prototyping user interfaces, and new applications and paradigms in human computer interaction. This is not a course in how to make dialog boxes, but rather a much more general approach to interacting with human beings and evaluating designs. Some elementary programming in Flash (or another user interface prototyping tool) may be required, but people without prior programming experience should feel right at home in this class. This is offered simultaneously at a 200-level and a 400-level. The 200-level course is available to any undergraduate student, not just computer scientists. IT-minor students are especially encouraged to participate. The 400-level version, available only to junior and senior computer science majors, will require extra work and will be graded on a separate scale. Several group projects and exams will be required. No prerequisites. 3 credits.

CMPSCI 491O: Seminar - Outdoor Mobile Network Environment

Professor: ** Section Deleted

Students in this class will work in teams to deploy one of several federated projects that provide pervasive and mobile networking in the Amherst area. The projects involve either Cisco mesh networking in downtown Amherst, PVTA buses equipped with computers and networking, custom-built solar powered throwbox nodes, and modified meraki network devices. Students will design new or modify existing software and operating systems that run on each platform to provide novel networking services. 3 credits.

CMPSCI 491S(415): Introduction to Computer and Network Security

Professor: Levine, Misra

This course provides an introduction to the principles and practice of system and network security. A focus on both fundamentals and practical information will be stressed. The three key topics of this course are cryptography, system security, and network security. Subtopics include ciphers, hashes, key exchange, security services (integrity, availability, confidentiality, etc.), security attacks, vulnerabilities, exploits, countermeasures. Students will make extensive use of a lab for experimenting with security countermeasures. Grades will be determined by class participation, lab work, homework, and exams. Prerequisites include 377 and a familiarity with Unix. 3 credits.

CMPSCI 503(591C): Embedded Systems

Professor: Grupen

Embedded computing applications do not require the same specifications as general purpose computational platforms, but are instead intimately related to a particular physical process. This course introduces tools necessary to design embedded computational applications. We will explore these applications by building autonomous mobile robots from scratch to accomplish a task that the class will design. Each student will design and build a project as part of a team that will be demonstrated at the end of the semester. The couse is heavily project-oriented (with a required lab) and discussions will include topics such as; (1) mechanisms, sensors, actuators and feedback systems, (2) analog and digital circuits, power amplifiers, signal processing, operational amplifiers, multiplexing, (3) I/O - A/D, D/A, and latching, serial and parallel interfaces, (4) signal processing/conditioning and (5) an introduction to real-time programming. There will be a 3 credit lecture and a 1 credit lab (required).

CMPSCI 520: Software Engineering: Synthesis and Development

Professor: Adrion

Introduces students to the principal activities involved in developing high-quality software systems. Topics include: requirements analysis, formal specification methods, process definition, software design, and risk management. Prerequisites: CMPSCI 320 with a grade of 'C' or better, and E&C-ENG 373 with a grade of 'C' or better. 3 credits.

CMPSCI 530: Programming Languages

Professor: Wileden

This course undertakes a detailed examination of the fundamental principles underlying the design and implementation of modern programming languages. We address a wide range of programming language concepts and issues from both a practical and a theoretical perspective. Special attention is given to type systems and typechecking, since these are central to all subsequent developments. We also examine other important contemporary language features such as object orientation, modularity, polymorphism and concurrency. While the predominant paradigm for contemporary programming languages -- the imperative, object-oriented paradigm -- is our primary focus, and the functional paradigm is our secondary focus, we will place special emphasis on web-programming as a source of examples and a basis for assignments and projects. Homework problems, programming exercises and projects reinforce the material covered in lectures and readings. Prerequisites: CMPSCI 187. Honors module when requested. 3 credits.

CMPSCI 535: Computer Architecture

Professor: Weems

The structure of digital computers is studied at several levels, from the basic logic level, to the component level, to the system level. Topics include: the design of basic components such as arithmetic units and registers from logic gates; the organization of basic subsystems such as the memory and I/O subsystems; the interplay between hardware and software in a computer system; the von Neumann architecture and its performance enhancements such as cache memory, instruction and data pipelines, coprocessors, and parallelism. Weekly assignments, semester project, 2 hours exams, final. Prerequisites: (CMPSCI 250 or MATH 455) and CMPSCI 377. 3 credits.

CMPSCI 551: Three-Dimensional Modeling and Digital Editing

Professor: Woolf

This seminar is dedicated to the production of high quality 3-dimensional computer modles using graphics technology. For example, color 3-D objects are defined and manipulated, digitized images created and altered, and photo-realistic effects and animated sequences produced. Techniques are used to bend and twist shapes around objects or lines, to provide a variety of light and texture, and to trace over images including digitized pictures. We focus on development of humanoid characters. Each student will design his/her own character and lectures and homework will support students to model faces and bodies. Modeling topics include designing, joints, creating chains with constraints and producing realistic facial movement. 3 credits.

CMPSCI 553(591U): Interactive Web Animation

Professor: Woolf, Agresta

This course teaches basic animation for the Web, interactivity, color theory, design, action scripting, and transitions. Students maintain their own web sites and submit projects every 2 weeks in Flash. Individual as well as, a final project are required. Knowledge of basic Web development, e.g., HTML, Java Script. Prerequisite: CMPSCI 391F or permission of instructor. 3 credits.

CMPSCI 585: Introduction to Natural Language Processing

Professor: McCallum

The field of natural language processing is concerned with practical and theoretical issues that arise in getting computers to perform various tasks with human languages. In this introductory course you will learn about automated techniques for parsing English sentences, tagging words according to their part-of-speech, encoding spelling rules, modeling language semantics, learning to accurately filter junk email, clustering news articles by topic, and extracting from the Web a database of business people who graduated from UMass. Our work will be a combination of learning new algorithms, discussing linguistics, and programming useful systems that operate on real data. Whether you are interested in the intersection between the humanities and computer science, or you want a job at Google, this introductory course will help you on your way. 3 credits.

CMPSCI 591B: Seminar - Introduction to Computer Graphics

Professor: Wang

This course teaches the fundamentals of three-dimensional computer graphics, including modeling, rendering, illumination, and animation. Students will learn and implement the standard rendering pipeline, defined as the stages of turning a three-dimensional model into a shaded, lit, texture-mapped two-dimensional image. The completion of this course will prepare the students ready for any of the advanced computer graphics courses. Prerequisites: This course requires substantial programming effort. Standard C/C++ concepts such as pointers, lists, and memory allocation will be used extensively. Students are expected to be familiar with basic linear algebra (vectorand matrix arithmetic) and calculus. 3 credits.

CMPSCI 591F: Seminar - Software Engineering Management Practicum

Professor: Fisher

The purpose of this course is to provide students with practical experience in the management of software development projects. Students in this course will gain this experience by serving as software development team technical managers for teams of software engineering students in CMPSCI 320. As project managers, the students in CMPSCI 591F will be responsible for: supervising and managing the work of teams of CMPSCI 320 students; interfacing with the other CMPSCI 591F students managing other teams in the course; interfacing with the course instructor, course TA, and course customer. CMPSCI 591F students will be assigned readings in software engineering project management to provide a theoretical basis for their work in this course. But the majority of work in the course will be related to the actual management of assigned development teams. As team managers, CMPSCI 591F students will set goals and schedules for their teams, track and report team progress, negotiate with leaders of other teams and the course customer, and evaluate the work of members of their teams. CMPSCI 591F course assignments may include: written team goals, plans and schedules; periodic reports on team progress; documentation of agreements reached with other team leaders and customers; evaluations of the applicability of theoretical papers to the work of this course. This course will meet at the same times and places as CMPSCI 320. Additional meetings with team members and other students in CMPSCI 591F are also expected to be arranged by mutual agreement. Enrollment in this course is only by permission of the instructor, and is restricted to students who have previously taken CMPSCI 320, and received a grade of A or A-. 3 credits.

CMPSCI 591G: Seminar - Computer Networking Lab

Professor: Venkataramani

In this course, students will learn how to put "principles into practice," in a hands-on-networking lab course. The course will cover router and end-system labs in the areas of Single Segment IP Networks, Multiple Segment IP Networks and Static Routing, Dynamic Routing Protocols (RIP, OSPF and BGP), LAN switching, Transport Layer Protocols: UDP and TCP, NAT, DHCP, DNS, and SNMP. The labs are due at a rate of roughly one lab per week. A short pre-lab Q&A, as well as lab writeups, are required for each lab. These labs will be done in a networked lab setting consisting of 4 Cisco2600-family routers, 4 hubs, and 4 Linux hosts. The textbook is Mastering Networks: An Internet Lab Manual by Jorg Lieberherr, University of Virginia; Magda El Zarki, University of California, Irvine. ISBN: 0-201-78134-4. Publisher: Addison-Wesley. 3 credits.

CMPSCI 591J: Seminar - Robotic Ants via Cellular Automata

Professor: Rosenberg

Cellular automata --- an abstract computational model that dates back to the 1950s --- can form the basis of a practical model for a broad range of computational tasks that require the coordination of many simple computing devices (such as robotic "ants"). We propose using "semi-synchronous" cellular automata as a platform for efficiently realizing ant-inspired algorithms that coordinate robots within a fixed, geographically constrained environment (such as a factory floor). This seminar will read a variety of papers on the basic cellular automaton model and its many applications (such as the game of Life), culminating in a formalization of the Cellular ANTomaton model, which focuses specifically on robotic ants. We shall discuss a number of "proof-of-concept" problems that have ant-robots move and aggregate in various ways, and we shall work together on further such problems. PREREQ: CMPSCI 311 or equivalent, with B or better. Students should be interested in at least one of Algorithmics and Robotics; preferably both. Work will involve class readings plus a project. 3 credits.

CMPSCI 591O: Seminar - Character Animation

Professor: Woolf

This class focuses exclusively on character animation techniques. Animation topics include action andpose, timing, overlap, pacing, and simulating and exaggerating physical laws. Constraints will be used to create animation and lipsync. Voice tracks will be used to simulate speech. Student will create their own final project or work in a small team. 3 credits.

CMPSCI 591Q: Seminar - Database Systems Lab

Professor: Miklau

This is a self-paced laboratory course exploring advanced topics in data management. Students will devise efficient solutions to real-world data management problems on realistic datasets. Topics include performance tuning of relational databases, querying graph-structured databases, querying streaming databases, indexing high-dimensional data, managing uncertainty in databases, secure web application development, and information retrieval in databases. Students will use an open-source database management system and a programming language API (like JDBC/ODBC). A grade of B or higher in CMPSCI 445, or consent of the instructor, is required to take this course. 3 credits.

CMPSCI 596A: Independent Study - TA for CMPSCI 551 3D Animation

Professor: Woolf

TAs are responsible for developing student assignments weekly and for group grading assignments every two weeks. They typically give one lecture per semester and also spend 6 hours/week in the Animation Lab assisting students. TAs setup and maintain hardware and software needed for lectures - 3 or 4 commercial graphics packages. TAs take a lead role in the final course production, a group effort of 6-8 weeks work. Each TA manages 4-5 students organized in groups for 1) character animation, 2) lighting, 3) special effects, 4) surfaces, and 5) editing. The TA creates weekly tasks for each student in his/her group and makes sure that the work is complete and passed along to the next group on time. Prerequisite: CMPSCI 551 with grade of B or better. 3 credits.

CMPSCI 596C: Independent Study - TA for CMPSCI 591O Seminar-Character Animation

Professor: Woolf

TAs are responsible for providing assistance to the instructor and students of CMPSCI 591O Seminar-Character Animation. Activities will include critiquing students work and providing useful feedback. Grading the class projects and homework assignments, and spending at least 6 hours each week in the laboratory to help the students with their daily work for the class. Evaluation will be done by the instructor based upon the quality of assistance to the students, attendance at the lectures and hours spent in the animation laboratory. Grading will also be based on advanced projects by the student and presented at the end of the semester. Prerequisite: CMPSCI 591O with grade of B or better. 3 credits.

CMPSCI 596D: Independent Study - Advanced Computer Modeling

Professor: Woolf

This course focuses on production of high quality models, beginning with simple vases, desks, lamps and moving to character and humanoids. Students will model organic shapes, such as fruit, using splines, lathes, and extrudes. Surfacing topics such as specularity, reflection, transparency, glow, decals and image maps will be discussed and modeled. Texture and advanced lighting techniques will be developed. Students will develop humanoid characters, modeling torso, shoulders, pelvis, arms, legs and hands feet and eyeballs. Geometry bones will be added to the final characters along with kinematic constraints and Euler Limits. The character's face will "lip sync" to speak or sing. Students will also create low patch proxy models of their characters to be used for blocking and simple motion within a final animation. These characters will be rigged for animation and the models given to students in the Animation Class for creation of the final project. Students will complete five independent modeling assignments and a final project in which their characters are animated by the Animation Class. 3 credits.

CMPSCI 610: Compiler Techniques

Professor: Moss

This course explores the basic problems in the translation of programming languages focusing on theory and common implementation techniques for compiling traditional block structured programming languages to produce assembly or object code for typical machines. The course involves a substantial laboratory project in which the student constructs a working compiler for a considerable subset of a realistic programming language. The lectures are augmented by an optional discussion section that covers details of the programming language used to build the compiler, the operating system, the source language, and various tools. Use of computer required. Text: Crafting a Compiler in C, by Fischer and LeBlanc. Prerequisite: (CMPSCI 250 or MATH 455) and CMPSCI 377. 3 credits.

CMPSCI 611: Advanced Algorithms

Professor: Sitaraman

Principles underlying the design and analysis of efficient algorithms. Topics to be covered include: divide-and-conquer algorithms, graph algorithms, matroids and greedy algorithms, randomized algorithms, NP-completeness, approximation algorithms, linear programming. Prerequisites: The mathematical maturity expected of incoming Computer Science graduate students, knowledge of algorithms at the level of CMPSCI 311. 3 credits.

CMPSCI 613(691P): Model Checking

Professor: Immerman

An in-depth, hands-on introduction to the theory and practice of model checking. We learn how to check that hardware and protocol designs satisfy correctness conditions specified by temporal logic, first-order logic, or finite automata. Topics include: Modeling reactive modules, Temporal Logic, Model Checking Temporal Logic, Binary Decision Diagrams, Symbolic Model Checking: SMV, Automata theoretic model checking: SPIN, Abstraction: dealing with state explosion by making the models smaller, Real-time modules and timing verification. We will also study some software model checking and static analysis, including the tools BLAST and TVLA. Requirements: problem sets, in class midterm, and final project. Prerequisites: Mathematical maturity at the level of an A in CMPSCI 250. Students should also have some knowledge of algorithms and automata theory at the level of CMPSCI 311 and CMPSCI 401. 3 credits.

CMPSCI 621: Advanced Software Engineering: Analysis and Evaluation

Professor: Clarke

Software systems have become an integral part of our societal infrastructure. Software controls life-critical applications, such as air traffic control and medical devices, and is of central importance in telecommunication and electronic commerce. In this course, we will examine state of the art practices for testing and analyzing software systems that require high assurance. We will initially look at techniques developed for sequential systems but then examine the complexity that arises from distributed systems. Laboratory requirements: students will be required to carry out an individual or group project that applies or extends some of the techniques described in class. Text: Software Testing and Analysis: Process, Principles, and Techniques, by Mauro PezzŠ and Michal Young, John Wiley and Sons, as well as papers in the open literature. Prerequisites: CMPSCI 320, Introduction to Software Engineering (or equivalent course). 3 credits.

CMPSCI 635: Modern Computer Architecture

Professor: Weems

This course examines the structure of modern computer systems. We explore hardware and technology trends that have led to current machine organizations, then consider specific features and their impact on software and performance. These may include superscalar issue, caches, pipelines, branch prediction, and parallelism. Midterm and final exams, team project, homework, in-class exercises. Prerequisites: CMPSCI 535 or equivalent. 3 credits.

CMPSCI 646: Information Retrieval

Professor: Allan

The course will cover basic and advanced techniques for text-based information systems. Topics covered include retrieval models, indexing and text representation, browsing and query formulation, routing, distributed information retrieval, and integration with database systems. The course will include implementation of major elements of an information retrieval system. Prerequisite: CMPSCI 445 or equivalent. 3 credits.

CMPSCI 653: Advanced Computer Networking

Professor: Kurose

This course covers advanced fundamental principles of computer networks, studying foundational material in the field. Topics include protocol mechanisms and implementation principles, protocol specification/verification techniques, network algorithmics, advanced network architecture, network simulation, performance analysis, and measurement. Prerequisites: introductory (undergraduate level) courses in computer networks (e.g., CMPSCI 453/591,), operating systems (e.g., CMPSCI 377), and algorithms (e.g., CMPSCI 311). Some familiarity with probability will also be needed. 3 credits.

CMPSCI 683: Artificial Intelligence

Professor: Zilberstein

In-depth introduction to Artificial Intelligence focusing on techniques that allow intelligent systems to operate in real-time and cope with missing information, uncertainty, and limited computational resources. Topics include: advanced search and problem-solving techniques, resource-bounded search, principles of knowledge representation and reasoning, meta-reasoning, reasoning under uncertainty, Bayesian networks and influence diagrams, decision theory and the value of information, planning and scheduling, intelligent agents architectures, and learning. Prerequisites: Undergraduate background in Computer Science, and an undergraduate Artificial Intelligence course (CMPSCI 383 or equivalent). 3 credits.

CMPSCI 689: Machine Learning

Professor: Mahadevan

Machine learning is the computational study of methods for making statistically reliable inferences combining observed data and prior knowledge (models). This is a mathematically rigorous introduction to two major strands of research in machine learning: parametric approaches based on probabilistic graphical models, and nonparametric approaches based on kernel methods. Graphical models are a compact way of representing probability distributions over a large set of discrete and continuous variables. "Learning" in parametric models corresponds to maximum likelihood estimation, i.e. find the parameters that maximize the likelihood of the data. By contrast, "learning" in nonparametric kernel-based models corresponds to finding a weighted sum of kernel functions applied to the data. Detailed course topics: mathematical foundations, Bayesian classifiers, maximum likelihood and maximum a posteriori (MAP) estimation, missing data and expectation maximization (EM), mixture models and hidden-Markov models, logistic regression and generalized linear models, maximum entropy and undirected graphical models, nonparametric models for density estimation, reproducing kernel Hilbert spaces and the Representer theorem, margin classifiers and support vector machines, dimensionality reduction methods (PCA and LDA), computational learning theory, VC-dimension theory. State-of-the-art applications including bioinformatics, information retrieval, robotics, sensor networks and vision, will be used to illustrate the theory. There will be extensive homework exercises including mini-projects, a midterm, a final exam, and a group project. Prerequisites: undergraduate level probability and statistics, linear algebra, calculus, AI; computer programming in some high level language. 3 credits.

CMPSCI 691AA: Seminar - Wireless Sensor Networks

Professor: Ganesan

An important class of distributed networks are those that support monitoring and manipulation of physical spaces through low-power wireless sensor networks. Because of their capability for pervasive, low-cost, large-scale sensing and actuation, sensor networks have the potential to transform a wide range of application domains including natural science, engineering, and social sciences. This course is intended to provide students with an in-depth understanding of systems and algorithmic issues in wireless sensor networks and networked embedded systems. Topics that this course will cover include: a) design implications of energy (hardware and software), and otherwise resource-constrained nodes; b) network self-configuration; c) services such as routing under network dynamics, localization, time-synchronization and calibration; d) distributed data management, in-network aggregation and collaborative signal processing, e) programming tools and language support. The course will involve programming assignments in sensor network programming environments (TinyOS/Emstar), reading a large number of research papers, writing critiques, presentations, and a significant group research project. Pre-requisites: proficiency in C, familiarity with networking and operating system concepts undergraduate networking and OS courses). 1 - 3 credits.

CMPSCI 691CC(660): Advanced Information Assurance

Professor: Fu

This course provides an in-depth examination of the fundamental principles of information assurance. While the companion course for undergraduates is focused on practical issues, the syllabus of this course is influenced strictly by the latest research. We will cover a range of topics, including authentication, integrity, confidentiality of distributed systems, network security, malware, privacy, intrusion detection, intellectual property protection, and more. Prerequisites: undergraduate background in computer science or 415. 3 credits.

CMPSCI 691D: Seminar - Hot Topics in Operating Systems

Professor: Shenoy

This seminar course will cover rcent developments in operating distributed systems. Topics of interest include: Virtualization, Autonomic & Adaptive Systems, System Monitoring & Large Clustered Systems. 3 credits.

CMPSCI 691I: Seminar - Hot Topics in Information Security

Professor: Fu

This graduate seminar will examine the latest research papers from top computer security conferences. Students will each lead the discussion on a paper and will be graded on the quality of discussion. 1 credit.

CMPSCI 691JJ: Seminar - Cumulative Learning

Professor: Utgoff, Grupen

Humans accumulate knowledge and abilities that serve as building blocks for subsequent development. Such layered or sequential learning appears to be an essential mechanism, both in acquiring useful abstractions that serve intelligent behavior, and in producing essential new foundations for further development. For this seminar, we eschew single task learning, which dominates much of current research in machine learning, in favor of sustained learning of indefinitely many tasks, which accounts for ever increasing capabilities in human learning. We will start with the study of Gagne's psychological theory of cumulative learning and its practical implications for machine learning. We will then survey work that explores how learning systems can acquire the deeply layered knowledge---sensorimotor, categorical, communicative, conceptual---that is necessary for intelligent systems. The seminar is oriented toward reading and discussion, but a project is possible for anyone with such an interest. For each paper that we read, a written one page (max) analysis/synopsis is required at the class in which the paper is first discussed. There will be a final exam, but no midterm. Prerequisite: CMPSCI 683 or permission of instructor. 3 credits.

CMPSCI 691K: Seminar - Bioinformatics

Professor: Kulp, Conlon, Blanchard

Bio-informatics includes the use of computational and mathematical techniques (e.g., algorithms, statistics, machine learning, AI, complexity theory, dynamical systems) to decipher complicated information in biological structures, gene sequences, and cellular networks. This interdisciplinary field is of critical importance for understanding information from large biological databases, as well as for the design and construction of new computational methods. This course is cross-listed in statistics, microbiology, and computer science and will serve as an introductory course in bioinformatics with main topics being DNA and protein sequence analysis, genetic mapping, pathway inference, and gene expression using microarrays. A programming project may be required. 3 credits.

CMPSCI 691O: Seminar - Tools for Explanatory and Tutoring Systems

Professor: Woolf

This seminar examines recent work in explanatory and tutoring systems. We will explore research issues in: Collaboratory Environments, Dialogue Systems, Machine Learning, Teaching Strategies Simulators, Authoring Tools and User Models. The objective of the course is to stimulate awareness of research issues and to promote sound analytic and design skills as they pertain to building knowledge representations and control strategies. Relevant topics and applications will be presented through readings in the recent literature. Each student will prepare written critiques of each paper, lead several in-class discussions and prepare appropriate questions about the research. Several working systems will be available for hands-on critique. Readings for the course are contained in several bound volumes of articles and technical reports available in the main CMPSCI office. 3 credits.

CMPSCI 701: Advanced Computer Science Topics

Professor: Allan

This is a 6 credit reading course corresponding to the master s project. The official instructor is the GPD although the student does the work with and is evaluated by the readers of his or her master s project.

CMPSCI 791EE: Seminar - Advanced Topics in Computational Geometry

Professor: Streinu

This is a reading seminar on current papers in combinatorial and computational geometry, with an emphasis on recent applications of rigidity theory. We will focus on algorithms for flexibility, reconfiguration, and enumeration of structures defined by geometric constraints. They include bar-and-joint frameworks, body-bar structures, polyhedra, and structures inspired by applications in biology and computer aided design. Prerequisite of computational geometry required. May be taken up to 2 times for credit. 3 credits.

CMPSCI 791KK: Seminar - Advanced Operating System Internals

Professor: Shenoy

This course will cover advanced topics on the operating systems internals. Students will carry out hands-on programming of an operating system kernel to implement or modify key components such as the scheduler, the memory manager, and the I/O subsystem as well as learn advanced concepts such as kernel debugging and kernel profiling. An undergraduate course on operating systems (equivalent to CMPSCI 377) and proficiency in C programming is a prerequisite for this course. Permission of the instructor is necessary to register for this class. 3 credits.

CMPSCI 891M: Theory of Computation

Professor: Immerman

The theory seminar is a weekly meeting in which topics of interest in the theory of computation - broadly construed - are presented. This is sometimes new research by visitors or local people. It is sometimes work in progress, and it is sometimes recent material of others that some of us present in order to learn and share. This is a one-credit seminar which may be taken repeatedly for credit.

CMPSCI 899: PhD Dissertation

Professor: Staff

CMPSCI H01: Honors Colloquium for CMPSCI 201

Professor: Utgoff

Several topics are explored in more depth than is possible in the CMPSCI 201 lectures and discussions. Assigned readings are explored in the colloquium's weekly meeting. These projects require application of the material discussed in both CMPSCI 201 and the colloquium. Students can choose their own projects, with the instructor's approval. A significant degree of independent effort on the students part is expected. Grades are based on written reports, participation in H01 discussions, and the application of the concepts studied by colloquium in the design and implementaion of the projects. Registration in CMPSCI 201 is required. 1 credit.

CMPSCI H02: Honors Colloquium for CMPSCI 445

Professor: Diao

Practical issues of database design, implementation or application. Students will complete a project that complements or substantially extends the project that is part of the CMPSCI 445 class. Where appropriate, students will browse and discuss current related research. Individual projects and group discussion are the criteria for grading/evaluation. 1 credit.

CMPSCI H03: Honors Colloquium for CMPSCI 320

Professor: Fisher

In this course, students learn and gain practical experience with software engineering principles and techniques. The practical experience centers on a semester-long team project in which a software development project is carried through all the stages of the software life cycle. Honors students will be expected to assume responsibility for some of the more complex aspects of the project as well as to study more advanced concepts. 1 credit.

CMPSCI H08: Honors Colloquium for CMPSCI 383

Professor: Jensen

Honors section will involve advanced study and implementation of one of the AI techniques covered in CMPSCI 383. The particular application will be determined based on student interest. Possible projects include game playing, automated information gathering over the internet, software agents, hierarchical planning systems, satisficing reasoning techniques. Recommended for Juniors and Seniors; Majors and Non-majors. 1 credit.

CMPSCI H11: Honors Colloquium - CMPSCI 250

Professor: Barrington

The Honors students for CMPSCI 250 will read most of Hofstadter's book _Godel, Escher, Bach: An Eternal Golden Braid_. We will consider connections between the book and the content of CMPSCI 250, particularly formal logic and number theory. Students will solve problems using Hofstadter's formalism and write short essays on his ideas. Students may be asked to prepare short oral presentations on a topic related to the book. There will be one hour-long class meeting per week, at a time to be arranged. The seminar will be one credit, with a grade independent of the CMPSCI 250 grade. Concurrent registration in 250 is required, but if space permits we may admit students who have _previously_ taken 250. 1 credit.

CMPSCI H13: Honors Colloquium for CMPSCI 535

Professor: Weems

The honors section of CMPSCI 535 provides an opportunity for University Honors students enrolled in the class to take a deeper look at some aspect of computer architecture or its underlying technology. The specific choice of topics is agreed upon by the instructor and student on an individual basis. Students may choose to explore the history of some aspect of architecture or technology, look at market influences on the science and engineering of computer hardware, experiment with a novel computer design through simulation, conduct a series of in-depth readings leading to a semester thesis, or other suitable work done under regular consultation with the instructor. Recommended for Juniors, Seniors; Majors. 1 credit.

CMPSCI H15: Honors Colloquium for CMPSCI 121

Professor: Moll

CMPSCI 121 Honors Section will cover special topics covering some major ideas and applications of computer science, including: bioinformatics, natural language processing, computational complexity, compilers, security, privacy, cryptography, robotics, and search. There will be six homework assignments (some written exercises, some programming), plus a final paper. No previous program experience required. 1 credit.


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