Computer Science Course Descriptions for Fall of 2001
CMPSCI 105: Computer Literacy (R2)
Microcomputers are now used widely not only in academia but 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 and software aspects of microcomputers. 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. Students in lectures 1A, 2A, C, V, W, X use the University's microcomputer labs, all other students are expected to use their own equipment. 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 105C: Computer Literacy (R2)
CMPSCI 105W: Computer Literacy (R2)
CMPSCI 105X: Computer Literacy (R2)
CMPSCI 105X: Computer Literacy
CMPSCI 120: Introduction to Problem Solving with the Internet (R2)
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 120H: Introduction to Problem Solving with the Internet (R2)
See Description CMPSCI 120. Honors students will use the tools of the Internet to perform in-depth research on several topics, some selected by the students and some jointly with the professor. Students will keep a journal of web sites visited during their research, along with notes concerning their contents and applicability to the topics being researched. Project reports will be presented in class by the students, as well as submitted to the professor (along with the research journal). Project topics relate to the Internet and computing, and include but are not limited to the interactions of the Internet with the law and law enforcement, the First Amendment, national and international commerce, digital libraries, political institutions, effects of the Internet on countries in various parts of the world, the notion of the "global village", etc. 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)
An introductory course in problem solving and computer programming using the programming language Java. The course focuses on the fundamental concepts of problem solving and the techniques associated with the development of algorithms and their implementation as computer programs. This course or its equivalent is required for all additional courses in CMPSCI. Three hours of lecture/recitation per week. About 6 programming problems are assigned. In addition there are assigned homework problems, a midterm exam and a final. No computer science prerequisite, although basic math skills (e.g. R1) and basic computer literacy (as taught in CMPSCI 105) are assumed. Use of computer is required. Prerequisite: R1. 3 credits.
CMPSCI 121H: Introduction to Problem Solving with Computers (R2)
See description for CMPSCI 121. Honors students will cover some additional topics beyond the curriculum for CMPSCI 121, and will be required to complete one additional programming project. Previous experience with Java or some other programming language is strongly recommended but is not required. 3 credits.
CMPSCI 145: Representing, Storing and Retrieving Information
An introductory course in the use of data in computer systems, intended to become a core course for the proposed Information Technology certificate. Formats for representing text, sound, images, etc., as strings of bits. Basic information theory, use and limitations of file compression. 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. 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)
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 121 (or equivalent-not necessarily in Java) and Basic Math Skills (R1). Basic Java language concepts are introduced quickly. Prior experience with an object-oriented language is very helpful; if unsure of background, contact instructor. 4 credits.
CMPSCI 187D: Programming with Data Structures (R2)
Professor: Moll, Lawrie
CMPSCI 191H: CMPSCI TAP Seminar
Conversations with members of the UMass CMPSCI community, to explore issues in and subareas of computer science. Oral presentations by students on topics they research. Open only to first-year students (Honors or Non-Honors) in the CMPSCI TAP residential program. Counts as an Honors course. 1 credit.
CMPSCI 196A: Independent Study - TA for CMPSCI 120 Problem Solving with the Internet
To support CMPSCI 120 students in the Edlab. Planned activities include three hours/week in person plus email and help grading student assignments. Reliability, availability, and weekly reports are the criteria for evaluation. 3 credits.
CMPSCI 201: Architecture and Assembly Language (E)
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, one discussion, and one lab session 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)
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: Moll, Ridgway
Lecture, discussion, programming projects, lab. 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 305: Social Issues in Computing
Professor: Moll, 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
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. 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 Pascal or C (or some other closely related language). Prerequisite: CMPSCI 250 or MATH 455. 4 credits.
CMPSCI 320: Introduction to Software Engineering
Professor: Clarke, Cass
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 stagesof the software life cycle. Topics in this course include requirements analysis, specification, design, abstraction, programming style, testing, maintenance, and software project management. Particular emphasis is placed on designing and developing maintainable software and on the use of object-oriented techniques throughout the software lifecycle. Use of computer required. Two exams, several homeworks, major term project. Prerequisite: CMPSCI 287. 4 credits.
CMPSCI 370: Digital Image Processing
The broadening of computer vision into diverse research domains such as remote sensing, information retrieval, medical imaging, psychology and art has resulted in a growing educational demand for digital image processing classes. The class, Digital Image Processing is designed to meet needs of junior level students from a wide variety of disciplines who need to learn more about the creation, manipulation and analysis of digital images. After completing this class, students will understand how to create an image and how to process it to achieve a desired effect. Topics will include image formation, image enhancement, image compression, stereo vision and video. Examples will be taken from as wide a variety of disciplines as possible, and input from the class is welcome. Knowledge of algebra, trigonometry is useful. However, the mathematics content of this course will be kept to a minimum with an emphasis on practical, hands-on experience. The class will be taught in a lecture format with a strong emphasis on applying class material to real world problems. Homework assignments will focus on applying the techniques discussed in class to solve image processing problems. Most of the homework assignment will involve programming in a high-level image processing language (either MatLab or CVIPtools). Lectures, reference materials and homework assignments will be assessed through the class webpages. 3 credits.
CMPSCI 377: Operating Systems
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. Assignments: 3 labs in Java, 3 exams, 6 or more written homeworks. Prerequisites: CMPSCI 187 and (CMPSCI 201 or ECE 232). 4 credits.
CMPSCI 383: Artificial Intelligence
The course explores heuristic search as a basic building block for intelligent computer systems. The class discussion and the weekly homeworks are organized around three projects: Free Cell, jigsaw puzzles, and Amazons (two person board game). In the final two weeks of the course, we survey a variety of traditional topics in building intelligent systems, showing how heuristic search applies. There are weekly programming assignments, a midterm, and a final. There is no text; material is presented inclass, and made available on the class Web pages. Prerequisites: CMPSCI 250 and CMPSCI 287 and CMPSCI 311. 3 credits.
CMPSCI 391F: Seminar - HTML for Poets
An exploration of the Hyper Text Markup Language and its philosophical implications for Society in the New Millennium. Java Script will also be discussed. Students cannot receive credit for both this course and CMPSCI 591x Seminar-HTML for Poets. 3 credits.
CMPSCI 396A: Independent Study - Debugging and Consulting
CMPSCI 396B: Independent Study - TA for CMPSCI 391F Seminar - HTML for Poets
CMPSCI 403: Introduction to Robotics: Mechanics, Dynamics, and Control
Professor: ** Section Deleted
Description not on file. 3 credits.
CMPSCI 410: Compiler Techniques
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 laboratory 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) andCMPSCI 377. 3 credits.
CMPSCI 445: Information Systems
Introduction to database systems. File organization, database system architectures, data models, database design, relational systems, query optimization, recovery and concurrency control. Prerequisite: CMPSCI 287. 3 credits.
CMPSCI 445X: Information Systems
CMPSCI 496A: Independent Study - Question-Answering Using Semi-Structured Data
Students will build a research database for question-answering based on data from the US Geological Survey. Design and implementation of a user interface for collecting relevance judgments for both information retrieval and question-answering tasks. Familiarization with the existing system, designing and modifying to suit specific needs. Investigate the relevance issues in human factors and user interface designs through external reading. Maintain a journal, code reviews, and summary report. Acceptable for Advanced Technical Elective, subject to Associate Chair approval. 3 credits.
CMPSCI 503: Embedded Systems
Most computers in use in the world are embedded in a system whose primary purpose is not to interface with a human user, but instead is to achieve some process control objective. Devices varying from an aircraft like the Boeing 777 to VCR's and Microwave Ovens are absolutely dependent upon embedded processors for vital control functions. These 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. Each student will design and build an embedded control application as a member of a team. The course 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) in which a hands-on, team project for an embedded application will be constructed over the semester. 3 credits.
CMPSCI 503: Embedded Systems Lab
Required Lab for CMPSCI 591C Embedded Systems. 1 credit.
CMPSCI 520: Software Engineering: Synthesis and Development
Professor: ** Section Deleted
Software Engineering I: This course introduces students to the principal activities involved in developing high-quality software systems. The course stresses the use of defined, systematic processes in the creation of carefully defined and engineered software products. Among the topics covered are requirements analysis, software architecture, formal specification methods, process definition, software design methods, and test planning. Issues specific to the development of software by teams and groups will also be addressed. Students will be required to read selected papers from the literature and complete homework projects. This course focuses on synthesis activities and complements CMPSCI 521, which focuses on software analysis techniques. Students are encouraged to take both courses but may take either course independently. Students who sign up for 620 will be expected to do more comprehensive projects than those who sign up for 520. Prerequisites: CMPSCI 320 or consent of instructor. 3 credits.
CMPSCI 520X: Software Engineering: Synthesis and Development
CMPSCI 521: Software Engineering: Analysis and Evaluation
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: course material will be drawn from the software engineering literature.Prerequisites: CMPSCI 320, Introduction to Software Engineering (or equivalent course). 3 credits.
CMPSCI 521X: Software Engineering: Analysis and Evaluation
CMPSCI 530X: Programming Languages
CMPSCI 535: Computer Architecture
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 Animation and Digital Editing
This seminar is dedicated to the production of high quality 3-dimensional computer animation 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. The course is directed at production of an informative and approachable video of a ten minute 3-dimensional animated piece. Using computer-generated graphical analogies as well as cartoon caricature, the video is designed to educate and entertain. 3 credits.
CMPSCI 552: Interactive Multimedia Production
This course explores the potential of high quality interactive authoring tools to develop presentation and training systems. Programming languages within professional presentation and editing packages will be used to create systems capable of presenting graphics, animation, text, sound and music, based on the users requests. Students will learn how to define and manipulate classical techniques such as storyboarding, staging, and interactivity. The course will concentrate on state-of-the-art multimedia composition and presentation techniques and developing small individual projects. Prerequisite: CMPSCI 551 (591x) - 3D Computer Animation and Digital Editing. Permission of the instructor required; contact: Beverly Woolf 545-4265. 3 credits.
CMPSCI 553: Interactive Web Animation
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; CMPSCI 551 and CMPSCI 552 preferred. Permission of instructor is required. 3 credits.
CMPSCI 554: Multimedia Production Management
This course involves developing a large group 3D animation, beginning with a storyboard, developing models, lighting, background, sound and music. It involves team management, group dynamics, and production techniques. The final project will be demonstrated on the last day of class, to over 100 people. Prerequisite: CMPSCI 551. Permission of instructor is required. 3 credits.
CMPSCI 570: Computer Vision
People are able to infer the characteristics of a scene or object from an image of it. In this course, we will study what is involved in building artificial systems which try to infer such characteristics from an image. Topics include: Basics of image formation - the effect of geometry, viewpoint, lighting and albedo on image formation. Basic image operations such as filtering, convolution and correlation. Frequency representations of images. The importance of scale in images. Measurements of image properties such as color, texture, appearance and shape. Inference of motion and structure from moving objects and images. Detecting and recognizing objects in images. The graduate version CMPSCI 670(691A) requires more work than this version of the course. Prerequisite: Linear algebra, calculus and an ability to program. 3 credits.
CMPSCI 572: Neurobiology
Lecture. Biology of nerve cells and cellular interactions in nervous systems. Lectures integrate structural, functional, developmental, and biochemical approaches. Topics include neuronal anatomy and physiology, membrane potentials, synapses, development of neuronal connections, visual system, control of movement, and neural plasticity. Text: Essentials of Neural Science, Kandel et al. ; reserve readings, 2 hour-exams, final, short critique paper. Prerequisite: Biology 285 or 523; or both PSYCH 330 and Intro. Biology. 3 credits.
CMPSCI 591E: Seminar - Computer Networking
CMPSCI 591F: Seminar - Software Engineering Management Practicum
Professor: Clarke, Cass
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 software development team 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 AB. 3 credits.
CMPSCI 591O: Seminar - Character Animation
This class focuses exclusively on character animation techniques. The goal is to attain proficiency in modeling, texturing and animation. Modeling topics include character modeling and bones, designing joints and creating chains with constraints for easy animation, facial modelling and lip sync, designing faces with economical splinage to simplify facial animation, breaking down voice tracks into phonemes and animating facial and body language to match the track. Animation topics include action andpose, timing, overlap, pacing, and simulating and exaggerating physical laws. Student will create their own final project or work in a small team. Prerequisites: CMPSCI 551 (591x)--3D Animation and Digital Editing or equivalent experience and a personal computer. 3 credits.
CMPSCI 591T: Seminar - Introduction to Algorithmics
This course will introduce the methodology and "culture" of algorithmic reasoning and techniques of analysis. The emphasis will be on understanding rather than just learning. The specific topics to be covered and the method of covering them will be geared to the needs of the enrollees. 3 credits.
CMPSCI 596A: Independent Study - TA for CMPSCI 551 3D Animation
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. 3 credits.
CMPSCI 596B: Independent Study - TA for CMPSCI 552 Interactive Multimedia Production
TAs are responsible for developing student assignments weekly and for group grading of assignments every two weeks. They typically give one lecture per semester, plus spend 6 hours/week in the Animation Lab assisting students. Setup/maintain hardware and software needed for lectures - 1 or 2 commercial graphics packages in addition to Director. Also setup and maintain an internet site into which students put their class assignments. Work with students on individual Director final projects; maintaincommuniction between 12-15 students, intstructors and TAs. 3 credits.
CMPSCI 596C: Independent Study - TA for CMPSCI 591O Seminar-Character Animation
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. 3 credits.
CMPSCI 596D: Independent Study - Advanced Computer Modeling
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, trasparency, 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. The class does not have lab facilities for all students interested in this material and thus we limit the class to students who do well on the first assignment. This assignment will be graded and returned to students before the end of the Add/Drop period. Students are cordially invited to attend the first class, the first Tuesday/Thursday of the semester. At that time we will explain the course, what is expected of students and the entry condition. 3 credits.
CMPSCI 596X: Independent Study
CMPSCI 603X: Robotics
CMPSCI 610: Compiler Techniques
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 laboratory 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 377 or 402. 3 credits.
CMPSCI 611: Advanced Algorithms
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 611X: Advanced Algorithms
CMPSCI 620: Advanced Software Engineering: Synthesis and Development
Professor: ** Section Deleted
Software Engineering I: This course introduces students to the principal activities involved in developing high-quality software systems. The course stresses the use of defined, systematic processes in the creation of carefully defined and engineered software products. Among the topics covered are requirements analysis, software architecture, formal specification methods, process definition, software design methods, and test planning. Issues specific to the development of software by teams and groups will also be addressed. Students will be required to read selected papers from the literature and complete homework projects. This course focuses on synthesis activities and complements CMPSCI 521, which focuses on software analysis techniques. Students are encouraged to take both courses but may take either course independently. Students who sign up for 620 will be expected to do more comprehensive projects, that emphasize critical and analytic thinking, than those who sign up for 520. 3 credits.
CMPSCI 620X: Advanced Software Engineering: Synthesis and Development
CMPSCI 621: Advanced Software Engineering: Analysis and Evaluation
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: course material will be drawn from the software engineering literature.Prerequisites: CMPSCI 320, Introduction to Software Engineering (or equivalent course). This course is taught concurrently with CMPSCI 521, but students taking CMPSCI 621 are expected to do additional and more challenging homework problems and projects. 3 credits.
CMPSCI 621X: Advanced Software Engineering: Analysis and Evaluation
CMPSCI 630X: Programming Languages
CMPSCI 653: Computer Networking
Computer Networks is a graduate course that introduces fundamental concepts in the design and implementation of computer communication networks and their protocols. Topics include: layered network architectures, applications, transport, congestion, routing, data link protocols, local area networks, multimedia networking, network management, and network security. An emphasis will be placed on the protocols used in the Internet. Final grades will be determined by written homeworks, programming assignments and two exams. Prerequisites: A rudimentary understanding of computer architecture and operating systems. Text: "Computer Networking, a top down approach featuring the Internet," Jim Kurose and Keith Ross. 3 credits.
CMPSCI 653X: Computer Networking
CMPSCI 670: Computer Vision
People are able to infer the characteristics of a scene or object from an image of it. In this course, we will study what is involved in building artificial systems which try to infer such characteristics from an image. Topics include: Basics of image formation - the effect of geometry, viewpoint, lighting and albedo on image formation. Basic image operations such as filtering, convolution and correlation. Frequency representations of images. The importance of scale in images. Measurements of image properties such as color, texture, appearance and shape. Inference of motion and structure from moving objects and images. Detecting and recognizing objects in images. This course is the graduate version of CMPSCI 570(591A) and it requires more work compared to the undergraduate version CMPSCI 570(591A). Prerequisite: Linear algebra, calculus and an ability to program. 3 credits.
CMPSCI 677X: Operating Systems
CMPSCI 683: Artificial Intelligence
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 683X: Artificial Intelligence
CMPSCI 687: Reinforcement Learning
A comprehensive introduction to reinforcement learning, an approach to artificial intelligence emphasizing learning from interaction to achieve goals in stochastic environments. The focus is on algorithms that learn what actions to take so as to optimize long-term performance. The course covers Markov decision processes, dynamic programming, temporal-difference learning, Monte Carlo learning methods, eligibility traces, the role of neural networks, and the integration of learning and planning. Prerequisites: Basic probability theory and programming skills. A prior course in artificial intelligence is recommended. STATIS 515 and CMPSCI 287 and CMPSCI 383 or permission of instructor. 3 credits.
CMPSCI 691C: Seminar - Computational Neuroscience
This course focuses on the use of computational methods in neuroscience. Topics covered include the development and use of computer models at the biophysical, circuit, and system levels, including models of single neurons, neural circuits, models of learning, and representation of sensory and motor information. Students will learn how to use computational tools to produce simulations. The course will be largely self-contained with respect to the computational and mathematical skills required, although some minimal experience with computing will be useful. Prerequisites: permission of the instructor. 3 credits.
CMPSCI 691D: Seminar - Many-Layered Learning
The course explores a variety of issues related to learning many layers of representational features in a progressive manner over an extended period of time. After visiting fundamental limitations in few-layered learning, we shall study approaches to learning from a curriculum, learning from a stream of information (not all of which is immediately understandable), and learning from experience (as in reinforcement learning). Our focus will be on layered knowledge sturctures, problem decomposition, andrepresentation change. This is primarily a reading course, in the style of a literature search, guided by several principles studied at the outset. Prerequisite: CMPSCI 683 or CMPSCI 689 or permission of instructor. 3 credits.
CMPSCI 691M: Seminar - Principles of Knowledge Discovery
This course will introduce students to basic concepts in knowledge discovery, including knowledge representation, data representation, search, parameter estimation, and hypothesis testing. Students will read and discuss 2-4 technical articles each week. Grading will be based on short weekly response papers and class participation. 3 credits.
CMPSCI 691O: Seminar - Tools for Explanatory and Tutoring Systems
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
CMPSCI 791M: Seminar - Closing the Loop
This seminar will study the problem of synergistically combining case-based reasoning (CBR), information retrieval (IR), information extraction and summarization (IE&S), and machine learning and data mining (ML&DM). These technologies are all now relatively mature, and several pairings, such as CBR and IR, ML and IE, have been studied and found to be powerful combinations. It is now possible to envision "closing the loop," in which, for instance, CBR is used to drive IR, information is extracted fromthe retrieved documents and summarized and then analyzed for conceptual change and emerging trends, and ultimately plowed back into CBR in the form of new cases and updated indices. Such an approach could also be used to create environments that support issue-oriented tasks, such as researching the pros and cons of medical therapies, by, among other things, understanding and structuring retrieved information in a way that makes clear the pros and cons of competing approaches. This could lead to the creation and maintenance of partially-automated personal treatises or briefing books. 3 credits.
CMPSCI 791N: Seminar - Peer-to-Peer and Application-Level Networking
Over the past few years, we have seen the emergence of distributed, peer-peer application-level networks that perform functionality that has often been the responsibility of lower layers of the network protocol stack. These functions include multicasting, routing for ad hoc and overlay networks, and data storage,discovery, and retrieval (e.g., Naptser). In this seminar we will read and discuss research papers on this emerging area of computer networking. Students enrolled in this course will be required to participate in class discussions on assigned readings, present one or more papers from the reading list, and complete a course project. 3 credits.
CMPSCI 891M: Theory of Computation
Lectures on various topics in the theory of computation by CMPSCI theory faculty, possible guest speakers, and seminar students. May be repeated for credit. Prerequisite: Graduate standing in CMPSCI or permission of the instructor. 1 credit.
CMPSCI 899: PhD Dissertation
CMPSCI H01: Honors Colloquium for CMPSCI 201
We select one or more of the course topics and explore them in more depth than is possible in the regular CMPSCI classes. Readings are assigned and discussed in once-a-week meetings. Students are assigned projects using an Intel I86 based computer, such as the IBM PC, that require application of concepts discussed in the weekly meetings and in the CMPSCI 201 lectures. Grades are based on written reports, participation in discussions, and the application of concepts in the projects. 1 credit.
CMPSCI H02: Honors Colloquium for CMPSCI 320
Professor: Clarke, Cass
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 stagesof 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 H03: Honors Colloquium for CMPSCI 445
Practical issues of database design and implementation. Students will substantially extend a project that is part of the CMPSCI 445 class by implementing components of a database system. Where appropriate, students will browse and discuss current related research. Individual projects and group discussion is the criteria for grading/evaluation. 1 credit.
CMPSCI H04: Honors Colloquium for CMPSCI 491A(410)
Honors students complete the requirements for CMPSCI 610, which meets concurrently with CMPSCI 491A, to receive Honors credit. 1 credit.
CMPSCI H05: Honors Colloquium for CMPSCI 535
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.
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