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Du kanske gillar. Inbunden Engelska, Spara som favorit. Skickas inom vardagar. Laddas ned direkt. Internal and external sorting. Intended for non-majors. Not open for credit to students who have completed CSE Cannot be taken for credit if credit received for CSE Topics include using a command-line interface, writing scripts for file and string manipulation, managing user permissions, manipulating text with regular expressions, using build-management tools, and using version-control systems.

CSE Introduction to Compiler Construction 4 Fundamentals of compilers and interpreters; symbol tables; lexical analysis, syntax analysis, semantic analysis, code generation, and optimizations for general purpose programming languages. No credit to students who have taken CSE Creation of new programming abstractions, formal and informal language specification techniques, implementation strategies to support language analysis and execution on traditional and non-traditional computing platforms.

Selection and use of appropriate software tools and development environments to build novel DSLs.

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CSE Software Engineering 4 Fundamentals of software engineering using a group project as the basic vehicle. Topics covered include the software crisis, managing complexity, requirements specification, architectural and detailed design, testing and analysis, software process, and tools and environments.

Machine organization, including central processor and input-output architectures; assembly language programming; operating systems, including process, storage, and file management. CSE Introduction to Data Visualization 4 Introduction to data visualization design and use for both data exploration and explanation. Methods for creating effective visualizations using principles from graphic design, psychology, and statistics. Topics include data models, visual encoding methods, data preparation, exploratory analysis, uncertainty, cartography, interaction techniques, visual perception, and evaluation methods.

No credit if CSE taken. CSE Programming Languages and Their Implementation 3 Basic concepts and implementation strategies for modern functional and object-oriented programming languages such as Scheme and Java. CSE Introduction to Database Systems 4 Introduces database management systems and writing applications that use such systems; data models, query languages, transactions, database tuning, data warehousing, and parallelism. CSE Introduction to Artificial Intelligence 3 NW Principles and programming techniques of artificial intelligence: LISP, symbol manipulation, knowledge representation, logical and probabilistic reasoning, learning, language understanding, vision, expert systems, and social issues.

Modules include regression, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets.

Efficient algorithms for manipulating graphs and strings. Fast Fourier Transform.

Synthesis of Embedded Software - Frameworks and Methodologies for Correctness by Construction

Models of computation, including Turing machines. Time and space complexity. NP-complete problems and undecidable problems. Methods for showing lower bounds on computational complexity. Particular algorithms for sorting, searching, set manipulation, arithmetic, graph problems, pattern matching.

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CSE Computational Biology 3 Algorithmic and analytic techniques underlying analysis of large-scale biological data sets such as DNA, RNA, and protein sequences or structures, expression and proteomic profiling. Hands-on experience with databases, analysis tools, and genome markers. CSE Computational Biology Capstone 5 Designs and implements a software tool or software analysis for an important problem in computational molecular biology.

CSE Introduction to Theory of Computation 3 Models of computation, computable and noncomputable functions, space and time complexity, tractable and intractable functions. Methods for designing, prototyping, and evaluating user interfaces to computing applications. Human capabilities, interface technology, interface design methods, and interface evaluation tools and techniques.

Advanced methods for designing, prototyping, and evaluating user interfaces to computing applications. Novel interface technology, advanced interface design methods, and prototyping tools. CSE Data Visualization 4 Techniques for creating effective visualizations of data based on principles from graphic design, perceptual psychology, and statistics. Topics include visual encoding models, exploratory data analysis, visualization software, interaction techniques, graphical perception, color, animation, high-dimensional data, cartography, network visualization, and text visualization.

Transactions: recovery and concurrency control. Implementation of a database system.

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A medium sized project using a rational database backend. CSE Machine Learning 4 Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision trees, rule induction, nearest neighbors, Bayesian methods, neural networks, support vector machines, and model ensembles.


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Unsupervised learning and clustering. Language models, text categorization, syntactic and semantic analysis, machine translation. This course emphasizes algorithms and data-driven methods. Reviews and analyzes films, animated feature films, and television commercials. Emphasizes the technical and aesthetic basics of animation production in industry studio environments.

Process management, memory management, auxiliary storage management, resource allocation. No credit to students who have completed CSE CSE Introduction to Distributed Systems 4 Covers abstractions and implementation techniques in the construction of distributed systems, including cloud computing, distributed storage systems, and distributed caches.


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CSE Advanced Internet and Web Services 5 Design of Internet search engines, including spider architecture, inverted indices, frequency rankings, latent semantic indexing, hyperlink analysis, and refinement interfaces. Construction of scalable and secure web services. Datamining webserver logs to provide personalized and user-targeted services. Large project. Topics may include segmentation, motion estimation, image mosaics, 3D-shape reconstruction, object recognition, and image retrieval. Design, development, and production of several storyreels, which are a tool for the pre-production of animated features and shorts.

Student use authoring tools to present finished work. Topics may include visual perception, displays and framebuffers, image processing, affine and projective transformations, hierarchical modeling, hidden surface elimination, shading, ray-tracing, anti-aliasing, texture mapping, curves, surfaces, particle systems, dynamics, character animation, and animation principles.

Focus on the modeling and lighting of animated characters. Students from art, CSE, and music team up on projects to be built on commercially-available modeling and lighting packages. In-depth analysis of classical and computer generated works. Character design and pre-planning, model sheets, character rigging, storyreel and animatics, character motion, design for multiple characters, and principles of animation as applied to character motion and effects.

CSE Animation Capstone 5 Apply the knowledge gained in previous animation courses to produce a short animated film. Topics include scene planning, digital cinematography, creature and hard surface modeling, animatics and basics of character animation, and rendering techniques. Transmission media, encoding systems, switching, multiple access arbitration.

Network routing, congestion control, flow control. Transport protocols, real-time, multicast, network security. Hardware description languages, combinational and sequential logic synthesis and optimization methods, partitioning, mapping to regular structures. Emphasis on reconfigurable logic as an implementation medium.

Synthesis of Embedded Software (E-Book, PDF)

Memory system design. Assembly and machine language, microprocessor organization including control and datapath. Computer arithmetic. Memory systems and caching. Performance modeling of microprocessors. Performance evaluation and energy efficiency. Instruction set architectures. Instruction-level parallelism. Modern microprocessor micro-architecture. Thread-level parallelism.

Modern C++ in Embedded Systems

Cache coherency and memory consistency in shared-memory multiprocessors. Memory hierarchy.

GPU architecture. Warehouse-scale computing. Trends in computer design. BENDER Introduction to computational approaches to modeling language, for linguistic research and practical applications, including analyses at different levels of linguistic structure and symbolic as well as statistical approaches. Have you forgotten your login? Hide details.

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Abstract : Hard real-time embedded systems are often designed as automatic control systems that can include both continuous and discrete parts. The functional specification of such systems is usually done in a conditioned data-flow formalism such as Simulink or Scade. These formalisms are either quasi-synchronous or synchronous, and they go beyond the classical data-flow model by introducing a form of conditional execution allowing the description of hierarchical execution modes.