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Computer science and engineering subject and courses

Computer science and engineering subject and courses  :  PART-2

CSE 481e: Capstone Software: UrbanSim UrbanSim Capstone
CSE 481g: Capstone Software: Distributed Systems Distributed systems capstone.
CSE 481h: Capstone Software: Accessibility Accessibility capstone.
CSE 481i: Sound Capstone Sound Capstone
CSE 481k: Capstone Software: Designing Tech. for Resource-Constrained Envs. Students form interdisciplinary project groups to scope and design projects for resource-constrained environments. The emphasis is on group work leading to the creation of testable realizations and completion of initial evaluations of the software and hardware artifacts produced. Students work in inter-disciplinary groups with a faculty or graduate student manager. Groups document their work in the form of posters, verbal presentations, videos, and written reports.
CSE 481m: Home Networking Capstone Home Networking Capstone
CSE 481O: Capstone Software - Kinect Students work in teams to design and implement a software project that makes use of RGB-D sensors (e.g. Microsoft Kinect, ASUS Xtion Pro Live)

CSE 484: Computer Security Foundations of modern computer security, including software security, operating system security, network security, applied cryptography, human factors, authentication, anonymity, and web security. Prerequisite: CSE 332; CSE 351.
CSE 486: Introduction To Synthetic Biology Studies mathematical modeling of transcription, translation, regulation, and metabolism in cell; computer aided design methods for synthetic biology; implementation of information processing, Boolean logic and feedback control laws with genetic regulatory networks; modularity, impedance matching and isolation in biochemical circuits; and parameter estimation methods. Prerequisite: either MATH 136 or MATH 307, AMATH 351, or CSE 311 and MATH 308 or AMATH 352. Offered: jointly with BIOEN 423/E E 423.
CSE 487: Advanced Systems And Synthetic Biology Introduces advanced topics in systems and synthetic biology. Topics include advanced mathematical modeling; computational standards; computer algorithms for computational analysis; and metabolic flux analysis, and protein signaling pathways and engineering. Prerequisite: either BIOEN 401, BIOEN 423,E E 423, or CSE 486. Offered: jointly with BIOEN 424/E E 424; W.
CSE 488: Laboratory Methods In Synthetic Biology Designs and builds transgenic bacterial using promoters and genes taken from a variety of organisms. Uses construction techniques including recombination, gene synthesis, and gene extraction. Evaluates designs using sequencing, fluorescence assays, enzyme activity assays, and single cell studies using time-lapse microscopy. Prerequisite: either BIOEN 423, E E 423, or CSE 486; either CHEM 142, CHEM 144, or CHEM 145. Offered: jointly with BIOEN 425/E E 425.
CSE 490a: Entrepreneurship This course is about entrepreneurship and specifically about starting, growing, managing, leading, and ultimately exiting a new venture.
CSE 490ab: Computers, Ethics, and Society Computers, Ethics, and Society
CSE 490as: Animation Production Seminar Animation Production Seminar
CSE 490d: Hardware Capstone Project Exploration Hardware Capstone Project Exploration
CSE 490dc: Character Animation Character Animation
CSE 490dv: Story Design for Computer Animation Animation principles and production for story development and design. 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.
CSE 490g: Introduction to Data Compression Basic information theory: entropy. Lossless data compression techniques: Huffman coding, arithmetic coding, and dictionary methods. Use of context, structure, and prediction to improve compression. Basic signal processing: Fourier and discrete cosine transforms, wavelet transforms, quantization. Fidelity and distortion metrics, rate-distortion analysis. Image compression: vector quantization, DCT coding, wavelet coding. Video compression: motion compensation and prediction. Audio compression. Image, video, and audio compression standards.
CSE 490h: Problem Solving on Large Scale Clusters Problem Solving on Large Scale Clusters
CSE 490i: Neurobotics The field of Neurobotics lies at the intersection of robotics and medicine. It aims to build a robot-human closed loop system to alter the neural control of movement as a way to rehabilitate, assist, and enhance human motor control and learning capabilities. Typically, the primary target population is individuals with strokes, spinal cord injuries, traumatic brain injuries, and other injuries that inhibit daily activities. However, it could also target sports medicine, military, and entertainment applications. This course is an introductory design course in Neurobotics focusing on learning about human neural control of movement, using physiological signals as inputs, and controlling a mechanical device. Students will learn simple control laws, hands on experience and programming in controlling robots, and applying knowledge of human movements to move the robot. There is a design project competition at the end of quarter.
CSE 490j: Special Topics in Computer Animation Special Topics in Computer Animation
CSE 490jl: User Interface Design, Prototyping, and Evaluation User Interface Design, Prototyping, and Evaluation
CSE 490k: Computer Telephony Computer Telephony
CSE 490st: Educational Software Capstone Software to support learning comprises a wide variety of styles and scales of programming. From games for children to large online learning systems, educational software not only touches on many areas of computer science but depends also on psychology, communication, design, and the fields of study the software is to support. Developing software for learning can be both highly exciting and very challenging. This capstone course will blend a study of key aspects of educational software with group projects that allow students to explore the issues in a hands-on manner. Key issues include: identifying learning objectives, design of simulations and construction sets, managing the learning curve for the software itself, interface design, supporting motivation, supporting collaborative learning and communication, educational assessment, connecting to standards, integration with environments and platforms, evaluation methods, and deployment approaches.
CSE 490t: Intellectual Property Law for Engineers This course will provide a survey of intellectual property law for a technical (non-legal) audience, with a primary focus on patent law. The purpose of the course is to assist engineers and scientists in navigating and utilizing various intellectual property regimes effectively in the business context. In the patent realm, topics will include patent preparation and prosecution, patent claim interpretation, and assessing patent validity and infringement. Other intellectual property areas that may be covered, time permitting, include copyright, trademark, and trade secret law. Where possible, the course will also endeavor to balance the discussion of practical legal considerations with broader policy questions (e.g., should certain subject matter be off limits for patenting?, the relationship between innovation and IP, approaches to patent reform, etc.). Joint with CSE 590 T (SPR 2011).
CSE 497: Undergraduate Research Seminar Students prepare and give a public talk on their faculty-sponsored research projects.
CSE 498: Senior Project A report (and perhaps demonstration) describing a development, survey, or small research project in computer science or an application to another field. Objectives are: (1) integrating material from several courses, (2) introducing the professional literature, (3) gaining experience in writing a technical document, and (4) showing evidence of independent work. Work normally extends over more than one quarter, for a maximum of 6 credits for 498; 9 credits are required for 498H.
CSE 499: Reading And Research Available in special situations for advanced computer science majors to do reading and research in field, subject to approval of undergraduate adviser and CSE faculty member. Free elective, but does not replace core course or computer science elective. Credit/no credit only.

Professional (Evening) Courses

CSEP 501: Compiler Construction Principles and practice of building efficient implementations of modern programming languages. Lexical, syntactic, and semantic analysis of programs. Intermediate program representations. Intra- and interprocedural analysis and optimization. Run-time system techniques. Related programming environment facilities such as source-level debuggers and profilers. Prerequisite: CSE majors only.
CSEP 503: Principles Of Software Engineering Study of major developments in software engineering over the past three decades. Topics may include design (information hiding, layering, open implementations), requirements specification (informal and formal approaches), quality assurance (testing, verification and analysis, inspections), reverse and re-engineering (tools, models, approaches). Prerequisite: CSE majors only.
CSEP 504: Advanced Topics In Software Systems Topics include software architecture, software tools, programming language analysis, type systems, formal reasoning, and other pertinent topics in software engineering and programming languages research.
CSEP 505: Programming Languages A study of non-imperative programming paradigms such as functional, object-oriented, logic, and constraint programming. Programming language semantics and type theory. Prerequisite: CSE majors only.
CSEP 506: Advanced Topics in Programming Languages May include functional, object-oriented, parallel, and logic programming languages; semantics for languages of these kinds; type declaration, inference, and checking (including polymorphic types); implementation issues, such as compilation, lazy evaluation, combinators, parallelism, various optimization techniques. Implementation project required.
CSEP 510: Human Computer Interaction Topics in human-computer interaction, including tools and skills for user interface design, user interface software architecture, rapid prototyping and iterative design, safety and critical systems, evaluation techniques, and computer supported cooperative work. Prerequisite: CSE majors only.
CSEP 517: Natural Language Processing Overview of modern approaches for natural language processing. Topics include language models, text classification, tagging, parsing, machine translation, semantics, and discourse analysis.
CSEP 521: Applied Algorithms Principles of design of efficient algorithms with emphasis on algorithms with real world applications. Examples drawn from computational geometry, biology, scientific computation, image processing, combinatorial optimization, cryptography, and operations research. Prerequisite: CSE majors only.
CSEP 524: Parallel Computation Survey of parallel computing including the processing modes of pipelining, data parallelism, thread parallelism, and task parallelism; algorithmic implications of memory models; shared memory and message passing; hardware implementations; bandwidth and latency; synchronization, consistency, interprocessor communication; programming issues including implicit and explicit parallelism, locality, portability. CSE majors only.
CSEP 531: Computability And Complexity Theory Survey of the theory of computation including Turing Machines, Churche' s Thesis, computability, incompleteness, undecidability, complexity classes, problem reductions, Cook' s theorem, NP-completeness, randomized computation, cryptography, parallel computation, and space complexity. Some emphasis will be placed on historical and philosophical aspects of the theory of computation. Prerequisite: CSE PMP majors only.
CSEP 544: Database Management Systems Introduction to the principles of database management systems. Topics include database system architecture, data models, theory of database design, query optimization, concurrency control, crash recovery, and storage strategies. CSE majors only.
CSEP 545: Transaction Processing Technology supporting reliable large-scale distributed computing, including transaction programming models, TP monitors, transactional communications, persistent queuing, software fault tolerance, concurrency control and recovery algorithms, distributed transactions, two-phase commit, data replication. Prerequisite: CSE majors only.
CSEP 546: Data Mining Methods for identifying valid, novel, useful, and understandable patterns in data. Induction of predictive models from data: classification, regression, probability estimation. Discovery of clusters and association rules.
CSEP 548: Computer Architecture Architecture of the single-chip microprocessor: instruction set design and processor implementation (pipelining, multiple issue, speculative execution). Memory hierarchy: on-chip and off-chip caches, TLBs and their management, virtual memory from the hardware viewpoint. I/O devices and control: buses, disks, and RAIDs. Prerequisite: CSE majors only.
CSEP 551: Computer Operating Systems A study of developments in operating systems from the 196' s to the present. Topics include operating system structure, protection, virtual memory, communication mechanisms, concurrency, lightweight threads, object-oriented systems, distributed systems, and transaction support in operating systems. Prerequisite: CSE majors only.
CSEP 552: Distributed Systems Principles, techniques, and examples related to the design, implementation, and analysis of distributed computer systems. Prerequisite: CSE PMP majors only.
CSEP 557: Current Trends In Computer Graphics Introduction to computer image synthesis, modeling, and animation emphasizing the state-of-the-art algorithm applications. Topics may include visual perception, image processing, geometric transformations, hierarchical modeling, hidden-surface elimination, shading, ray-tracing, anti-aliasing, texture mapping, curves, surfaces, particle systems, dynamics, realistic character animation, and traditional animation principles. Prerequisite: CSE majors only.
CSEP 561: Network Systems Current choices and challenges in network systems. Fundamental concepts combined with emphasis on evaluation of design/operations alternatives. Topics include alternative link, network, and transport-layer technologies, topologies, routing, congestion control multimedia, Ipv6, aTM v. IP, network management and policy issues. Prerequisite: CSE majors only.
CSEP 567: Design And Implementation Of Digital Systems Overview of current implementation technologies for digital systems including custom integrated circuits, field-programmable logic, and embedded processors. Systems components such as buses and communications structures, interfaces, memory architectures, embedded systems, and application-specific devices. Focus on the design of large systems using modern CAD tools. Prerequisite: CSE majors only.
CSEP 573: Applications Of Artificial Intelligence Introduction to the use of Artificial Intelligence tools and techniques in industrial and company settings. Topics include foundations (search, knowledge representation) and tools such as expert systems, natural language interfaces and machine learning techniques. Prerequisite: CSE majors only.
CSEP 576: Computer Vision Provides an overview of computer vision, emphasizing the middle ground between image processing and artificial intelligence. Image formation, pre-attentive image processing, boundary and region representations, and case studies of vision architectures.
CSEP 585: Design and Implementation of Digital Systems Overview of current implementation technologies for digital systems including custom integrated circuits, field-programmable logic, and embedded processors. Systems components such as buses and communications structures, interfaces, memory architectures, embedded systems, and application-specific devices. Focus on the design of large systems using modern CAD tools.
CSEP 590: Special Topics In Computer Science (PMP) Studies of emerging areas and specialized topics in computer science. Topics vary by quarter.
CSEP 595: Software Entrepreneurship Provides an overview of the major elements of entrepreneurial activity in software, including market identification and analysis, evaluation and planning of the business, financing, typical operating and administrative problems, and alternatives for growth or sale.
CSEP 597: Performance Analysis This course is intended to provide a broad introduction to computer system performance evaluation techniques and their application. Approaches considered include measurement/benchmarking, stochastic and trace driven simulation, stochastic queueing networks, and timed Petri nets. Applications of the techniques are studied using case study papers.
Ref : https://www.cs.washington.edu/education/courses
More Subject can be add or remove by the instruction of University Grant Commission...

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