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Course Criteria
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3.00 Credits
Prerequisite(s): CSE 400, senior standing or permission of instructor. Continuation of CSE 400. Design and implementation of a significant piece of work: software, hardware or theory. Students are required to submit a final written report and give a final presentation and demonstration of their project. Grades are based on the report, the presentation and the satisfactory completion of the project. These are evaluated by the Project Adviser and the Course Instructor.
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3.00 Credits
The course introduces mathematical and algorithmic techniques for geometric modeling with applications to computer graphics and computer animation. The course covers implicit and parametric curves; implicit and parametric surfaces; polygonal surfaces; polygonal surface simplification, decomposition, and parametrization; and surface reconstruction from point sets.
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3.00 Credits
Prerequisite(s): CIS 121. Automatic summarization can help alleviate the information overload problem caused by the unprecedented amount of online textual information. The building of a summarization system requires good understanding of the properties of human language and the use of various natural language tools. In this course we will build several summarization systems of increasing complexity and sophistication. In the process we will learn about various natural language processing tools and resources such as part of speech tagging, chunking, parsing, Wordnet, and machine learning toolkits. We will also cover probability and statistics concepts used in summarization, but also applicable to a wide range of other language-related tasks.
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3.00 Credits
This course is a pragmatic introduction to parallel and distributed programming. It targets science and engineering students with basic programming skills, and prepares them for parallelizing existing sequential programs or optimizing the perfomrance of existing parallel codes. The course teaches how to program with widely used parallel programming interfaces such as Pthread, MPI, OpenMP, HPFaand RMI. In addition, the course covers enough information on common parallel architectures, so that the students can optimize the programs for different platforms.
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3.00 Credits
Prerequisite(s): CIS 330, CIS 380 recommended. This course focuses on Internet and Web technologies and the underlying principles of distributed systems, information retrieval, and data management. The material covered will include web and application server architecturs, SML and semistructured data, schema mediation, document indexing and retrieval, peer-to-peer systems, distributed transactions and remote procedure calls. The course has a substantial group implementation project.
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3.00 Credits
Prerequisite(s): One year programming experience (C, JAVA, C++). A thorough introduction to computer graphics techniques, covering primarily 3D modeling and image synthesis. Topics cover: geometric transformations, geometric algorithms, software systems (OpenGL), 3D object models (surface and volume), visible surface algorithms, image synthesis, shading and mapping, ray tracing, radiosity, global illumination, photon mapping, anti-aliasing and compositing.
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3.00 Credits
Prerequisite(s): CSE 120, 121 or equivalent experience and concurrent or past enrollment in CSE 460/560. This project-based course is designed to provide a comprehensive introduction to the application of computer graphics in a laboratory setting. Course materials and labs will facilitate understanding issues and trends in 3D computer graphics. Students will develop a facility with fundamental 3-D models and modeling software through a series of projects. The course will offer students a technical understanding of Polygonal and Spline based modeling, alternative and standard methods of 3-D model import and export, and model conversion. It will also cover procedural and scripting methods, techniques, and conventions for creating models and shaders that will function properly for rendering and animation. Practical application of topics covered in CSE 460/560 include; geometric transformations, hierarchies, articulation, modeling, blend shaps, vertex weighting, and animation. Experiments with various animation methods inlcude: dynamics, forward and inverse kinematics, surface deformations, keyframe interpolation, motion capture, procedural animation, and facial animation. The course will be laboratory based and will use industry standard software.
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3.00 Credits
Prerequisite(s): Previous exposure to major concepts in linear algebra (i.e. vector matrix math), curves and surfaces, dynamical systems (e.g. 2nd order mass-spring-damper systems) and 3D computer graphics has also been assumed in the preparation of the course materials. This course covers core subject matter common to the fields of robotics, character animation and embodied intelligent agents. The intent of the course is to provide the student with a solid technical foundation for developing, animating and controlling articulated systems used in interactive computer games, virtual reality simulations and high-end animation applications. The course balances theory with practice by "looking under the hood" of current animation systems and authoring tools and examines the technolgies and techniques used from both a computer science and engineering perspective. Topics covered include: geometric coordinate systems and transformations; quaternions; parametric curves and surfaces; forward and inverse kinematics; dynamic systems and control; computer simulation; keyframe, motion capture and procedural animation; behavior-based animation and control; facial animation; smart characters and intelligent agents.
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3.00 Credits
Prerequisite(s): PHIL 006 or instructor's permission. Basic concepts of set theory, relations and functions, properties of relations. Basic concepts of algebra. Grammars, languages, and automata- finite state grammars, regular expressions, context-free and context-sensitive grammars, unrestricted grammars, finite automata, pushdown automata and other related automata, Turing machines, Syntax and semantics of grammar formalisms. Strong generative capacity of grammars, Grammers as deductive systems, parsing as deduction. Relevance of formal gammars to modeling biological sequences. The course will deal with these topics in a very basic and introductory manner--ideas of proofs and not detailed proofs, and more importantly with plenty of linguistic examples to bring out the linguistic relevance of these topics. The course will deal with these topics in a very basic and introductory manner--ideas of proofs and not detailed proofs, and more importantly with plenty of linguistic examples to bring out the linguistic relevance of these topics.
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3.00 Credits
Prerequisite(s): CIS 380, some network programming experience is desirable. Ever increasing availability of inexpensive processors connected by a communication network has motivated the development of numerous concepts and paradigms for distributed real-time embedded systems. The primary objectives of this course are to study the principles and concepts of real-time embedded computing and to provide students hands-on experience in developing embedded applications. This course covers the concepts and theory necessary to understand and program embedded real-time systems. This includes concepts and theory for real-time system design, analysis, and certification; programming and operating systems for embedded systems; and concepts, technologies, and protocols for distributed embedded real-time systems. The course will cover a variety of existing systems and technologies, e.g., real- machines, architectural description anguage, formal meth and logical-time programming paradigms, and certification The course requires active student participation in-group projects. Each group will be responsible for the design and implementation of a life-critical embedded system such as a pacemaker. The group projects are intended to complement the learning of principles and concepts through the application of theory in practice and the development of experimental skills in building embedded applications.
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