Basic knowledge of elementary statistics is also required. Although assistance varies, it is the Schools goal to support all entering Ph.D. students, subject to availability of funds. Quarter-long software-intensive project focusing on the design and implementation of a novel software system. Validity and reliability. Applications to modeling in computer science, engineering. Selected topics related to understanding and applying human-computer interaction and design concepts and practices within the User Experience industry. Microprocessor organization and implementation techniques. Bayesian Statistical Analysis. STATS210P. Processes, memory management, protection, scheduling, file systems, and I/O systems are covered. I&CSCI6N with a grade of C or better. SWE247P. Enter the email address you signed up with and we'll email you a reset link. Restriction: Master of Data Science Degree students only. Data Science Majors have first consideration for enrollment. COMPSCI175. COMPSCI275P. An introduction to the lexical, syntactic, semantic, and pragmatic characteristics of the C/C++ languages for experienced programmers. Internet congestion control, addressing, and routing. An overview of computer science and selected recent trends in research. Introduces principles, techniques, and computational tools for quantitative approach to basic problem solving in physics and engineering. Restriction: Master of Computer Science Degree students only. Academia.edu is a platform for academics to share research papers. JOHAN SOSA. The PDF will include all information unique to this page. Formally, a string is a finite, ordered sequence of characters such as letters, digits or spaces. Data Structure Implementation and Analysis. STATS112. I&CSCI46 with a grade of C or better. COMPSCI184A. Students participate in an off-campus, supervised internship for a minimum of 60 hours. COMPSCI260. 4 Units. Materials fee. Includes practice in designing and case studies of existing designs. This breadth is reflected in the diverse set of academic degree options for undergraduate and graduate students, some of which are interdisciplinary and jointly administered with other academic units. Download. Parallel and Distributed Computing for Professionals . CSE 41 with a grade of C or better. (a) (b) a windmill = an axial flow turbine. Design/analysis of combinational and sequential systems using SSI/MSI/LSI modules. (c) (d) a fuel pump in a car = a positive displacement pump (PDP). Exploration of networking principles and concepts for the development of distributed software. 4 Units. STATS245P. I&CSCI46 with a grade of C or better. SWE295. 4 Units. Prerequisite: Satisfactory completion of the Lower-Division Writing requirement. 4 Units. STATS120B. 4 Units. Analysis in the Health Sciences-Wiley (2013), Chapter 1: Overview and Descriptive Statistics 1 CHAPTER 1, Solutions Manual to accompany STATISTICS FOR ENGINEERS AND SCIENTISTS Third Edition, Solutions Manual to accompany STATISTICS FOR ENGINEERS AND SCIENTISTS. COMPSCI117. SWE276P. Machine Learning and Data Mining . COMPSCI248B. Prerequisite: Two quarters of upper-division or graduate training in probability and statistics. Special Topics in Applying Human-Computer Interaction and Design in Industry. Ashutosh Arun, S. Velumurugan, Kota Sitaramanjaneyulu, Proceedings of the Session on Construction Materials and Systems, 6th International Conference on Structural Engineering and Construction Management 2015, GJESR Journal, Rohith Mane, Ramanarayan Sankriti, Srinivasa Kumar. 4 Units. Strength Characterstics of Stabilized Embankment Using Fly Ash, Check List for R&B Works Govt Check list For Clearing And Grubbing, Standard specification for roads and bridges, Optimization of Transfer Time and Initial Waiting Time for a Bus Network Using Genetic Algorithm, Labour-based methods and technologies for employment- intensive construction works A cidb guide to best practice Best Practice Guideline Part 1, Standard Specification For Road Works STANDARD SPECIFICATION FOR ROAD WORKS, Sabarmati River Front Development Corporation Limited, National Rural Roads Development Agency Quality Assurance Quality Assurance Handbook for Rural Roads Handbook for Rural Roads Quality Management System and Quality Control Requirements Quality Management System and Quality Control Requirements, Subject Traffic Analysis Land Use Transportation Modeling Highway Project Formulation & Economics Pavement Analysis and Design Elective III Elective IV Transportation Engineering Lab - II Seminar, Series 3000: General Specs for Road and Bridge Works; Earthworks, STANDARD SPECIFICATIONS AND CODE OF PRACTICE FOR CONSTRUCTION OF CONCRETE ROADS (FOURTH REVISION, Statistical Relationship between Space Mean Speed and Time Mean Speed on multilane interurban highways in India, IRC 015: Standard Specifications and Code of Practice for Construction of Concrete Roads (Fourth Revision, Analysis of Flexible Pavements for Viscoelastic Response, Proceeding Of 2nd International Conference on Biotechnology, Civil and Chemical Engineering (ICBCCE 2015) Editor-in-Chief, AND CODE OF PRACTICE FOR WATER BOUND MACADAM (Third Revision) THE INDIAN ROADS CONGRESS, A GUIDE TO THE STRUCTURAL DESIGN OF BITUMENSURFACED ORN 31, Civil Engineering Practical Notes A-Z Second Edition, Planning & Mitigation Methods to Reduce the Project Delays in Sri Lankan Construction Industries - (Proceedings of the Session on Construction Materials and Systems, 6th International Conference on Structural Engineering and Construction Management 2015, ISBN: 978-955-589-210-0, pp 102-107), Construction of Cement Concrete Pavements in Rural Areas, His Majesty's Government of Nepal MINISTRY OF PHYSICAL PLANNING AND WORKS DEPARTMENT OF ROADS, Final report (Volume II) Life cycle analysis of transport modes, DETAILED PROJECT REPORT (DPR) of rural road, THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIAN ROADS AUTHORITY 2013 PAVEMENT DESIGN MANUAL VOLUME I FLEXIBLE PAVEMENTS, PAVEMENT MATERIALS AND CONSTRUCTION 10CV763, Draft Code of Practice for the Design of Road Pavements, Subject: Standards for Specifying Construction of Airports, GOVERNMENT OF MADHYA PRADESH PUBLIC WORKS DEPARTMENT SCHEDULE OF RATES For ROAD & BRIDGE WORKS ENGINEER-IN-CHIEF Public Works Department Price : Rs. Project in Algorithms and Data Structures. COMPSCI277. IN4MATX280. Typical topics include analysis of algorithms and graphs, probabilistic language models, network traffic modeling, data compression, and reliability modeling. 4 Units. Introduction to Software Engineering. COMPSCI264. I&CSCI45C with a grade of C or better. 4 Units. STATS170A. Capabilities and limitations of information technology. School of Info & Computer Sci students have first consideration for enrollment. The emphasis is on learning from data but inference is also covered. 4 Units. Restriction: Graduate students only. Restriction: ICS Peer Tutoring Program students only. Master of Computer Science Degree students only. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. Computer Systems Architecture. Topics include univariate and multivariate models, choice of prior distributions, hierarchical models, computation including Markov chain Monte Carlo, model checking, and model selection. Students work in teams to design and implement a unique game or interactive experience. Introduction to Visual Perception. Statistical Methods for Data Analysis II. SWE261P. Parallel programming models. Includes transaction processing in centralized, distributed, parallel, and client-server environments. Topics include the role of IT systems in the provision of human needs and wants (e.g., smart grids, food systems, and other IT-enabled infrastructure). Prerequisite: An undergraduate-level course in operating systems and networks. Each student then affiliates with an ICS faculty advisor who agrees to supervise a minimum of two quarters of honors research. 4 Units. Academia.edu no longer supports Internet Explorer. Upper-division students only. Design case studies in wireless, multimedia, and/or networking domains. I&CSCI46 with a grade of C or better. 4 Units. Computer-Supported Cooperative Work. Restriction: Information Computer Science Majors only. Introduction to Applied Cryptography. 4 Units. Game Technologies and Interactive Media. In the process, students work with state-of-the-art hardware and software technologies, and learn several contemporary programming languages. Ph.D. applicants will additionally be evaluated in their potential for creative research and teaching in Information and Computer Sciences. Computational Science and Engineering. Overlaps with COMPSCI122B. Analysis of Programming Languages. 4 Units. Emphasis on effective communication as it relates to identifying scientific objectives, formulating a statistical analysis plan, choice of statistical methods, and interpretation of results and their limitations to non-statisticians. The curriculum is designed with a common core serving all science and engineering disciplines and an Individual research or investigation conducted in preparation for the M.S. Required: Knowledge of basic statistics and linear algebra. COMPSCI202P. 4 Units. A broad introduction to optimization. High-Performance Architectures and Their Compilers. IN4MATX284. Introduction to qualitative research methods used to study computerization and information systems, such as open-ended interviewing, participant observation, and ethnography. Information Technology in Global Sustainability. Introduction to basic principles of probability and statistical inference. CSE 46 with a grade of C or better. Prerequisite: IN4MATX131 and IN4MATX133. Computer and Communication Networks . 4 Units. Theory and Practice of Sample Surveys. Algorithms with Applications. The study of theories and computational models for systems which behave and act in an intelligent manner. Restriction: School of Info & Computer Sci students have first consideration for enrollment. EECS10 with a grade of C or better. 4 Units. Prerequisite: GDIM167A or I&CSCI169A. 4 Units. Various approaches to causal inference focusing on the Rubin causal model and propensity-score methods. 4 Units. Same as PHYSCI9. Algorithms for solving fundamental problems in graph theory. Use of an independently-learned 3D graphics API to implement these techniques. The first half covers recent research in systems for machine learning (ML) that enabled rapid progress in ML/AI. The "disappearing computer" paradigm. The basis of the undergraduate programs are a set of fundamental courses in mathematics and computer science, supplemented by general education courses from other academic disciplines. Prerequisite: Required: Undergraduate-level understanding of computer architecture concepts. A fundamental task in geodesy is solving systems of equations. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds toupgrade your browser. An applicant to the M.S./Ph.D. 4 Units. I&CSCI46 with a grade of C or better. Download. With a focus on developing strong skills in engineering science and design, communications, and management, the program presents many opportunities to develop critical thinking, problem solving and creative abilities. Topics covered include repeated measures ANOVA, linear mixed models, non-linear mixed effects models, and generalized estimating equations. Advanced concepts of IP and TCP, including addressing, internetworking, forwarding, routing, and implementations of flow and congestion control. STATS201. Introduction to principles of machine learning and data-mining applied to real-world datasets. Senior Design Project. Honors at graduation, e.g., cum laude, magna cum laude, summa cum laude, are awarded to approximately the top 16 percent of the graduating seniors. Prerequisite: STATS120C. Activities involve reading, writing, discussion, and final project. Statistical Methods II: Categorical Data. Basics in biomolecular modeling. 4 Units. Social Analysis of Computing. 4 Units. COMPSCI115. Statistical methods for analyzing survival data from cohort studies. Computer and Systems Security . 4 Units. I&CSCI32A with a grade of C or better. Topics include semistructured data, NoSQL databases, big data analysis, and text search/query engines. Prerequisite or corequisite: STATS210 or STATS200C. IN4MATX190. Prerequisite: CSE 45C or I&CSCI45C. Queuing or simulation as time permits. Exploration of the concepts, terminology, and processes for training and using deep neural networks for classification problems. Design, implementation, execution, and analysis of algorithms for problems such as sorting, searching, data compression, and data encryption. Statistical models for time series. Introduction to the design of databases and the use of database management systems (DBMS) for applications. The vector space model, Boolean and probabilistic queries, and relevance feedback. Statistical Methods for Data Analysis I. Emphasis on current tools, standards, methodologies for implementing effective interaction designs. Prerequisite: Basic course in algorithm design and analysis. Prerequisite: I&CSCI31 or CSE 41 or I&CSCI32A. Lecture and discuss latest security research in software, OS, protocols, mobile devices, machine learning, sensors, and emerging IoT/CPS systems such as smart home and smart transportation. Theories, methods, and resources for teaching computer science at the university level, particularly by teaching assistants. Fundamentals of the Design and Analysis of Algorithms. Graph representations, graph traversal, network flow, connectivity, graph layout, matching problems. I&CSCI51 with a grade of C or better. The goal of image understanding is to extract useful semantic information from image data. An introduction to probabilistic and statistical techniques for learning from data, including parameter estimation, density estimation, regression, classification, and mixture modeling. Successful completion of the Honors Program earns the student a certificate and medal from the School. La-solution-2011-7 (2) Edwin Guevara. Prerequisite: I&CSCI33 or EECS114. Graduate students only. COMPSCI178. Models for data analysis are presented in the unifying framework of graphical models. IN4MATX203. 4 Units. I&CSCI32A with a grade of C or better. Includes examination of issues in scientific inquiry, qualitative and quantitative methods, and research design. Interaction in virtual and augmented environments. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds toupgrade your browser. STATS68. Text Processing and Pattern Matching. Fundamental principles in computer networks are applied to obtain practical experience and skills necessary for designing and implementing computer networks, protocols, and network applications. 4 Units. STATS200BP. I&CSCI32A with a grade of C or better. IN4MATX141. Software Design: Structure and Implementation. 4 Units. Students study data organization, algorithm design and analysis, design and organization of hardware and network systems, software engineering, artificial intelligence, social aspects of system design and use, and management of technology. 4 Units. Detailed specification and design of critical components of an actual operating system including a memory manager, a process server, and a file/IO subsystem. 1000/- (Excluding Postage and forwarding Charges etc, ADAPTING THE IMPACT OF CLIMATE CHANGE BY OTTA SEAL TECHNOLOGY, GUIDELINES FOR THE DESIGN OF FLEXIBLE PAVEMENTS, Government of Nepal Ministry of Physical Infrastructure and Transport Department of Roads STANDARD SPECIFICATIONS FOR ROAD AND BRIDGE WORKS, Makerere Second year intern report with KCCA by Gilbert Bamuhimbise, Government of the People's Republic of Bangladesh Ministry of Communications Roads and Highways Department CONSTRUCTION PRACTICES AND PROCEDURES MANUAL, NEPAL DEPARTMENT OF ROADS - Standard Specification for Roads and Bridge. Design of instruments, sampling, sample sizes, and data analysis. Distributed Computer Systems . Topics include design and implementation of IT systems, science of global change, online community building, and green IT. Computational inference and modeling of gene regulation networks, signal transduction pathways, and the effects of regulatory networks in cellular processes, development, and disease. IN4MATX273. Topics addressed vary each quarter. Programming with Software Libraries. Fundamental subdisciplines of artificial intelligence including knowledge representation, search, deduction, planning, probabilistic reasoning, natural language parsing and comprehension, knowledge-based systems, and learning. 4 Units. Introduction to role of information systems in organizations, components and structure of organizational information systems, and techniques used in information systems analysis, design, and implementation. Current research and research trends in design science. Jefferson Lus de Oliveira, Jeevan Hingne, [American Institute of Steel Construction] Design (Book ZZ org), Manual of Steel Construction Load and Resistance Factor Design 3rd Edition, Steel Design Guide Industrial Buildings Roofs to Anchor Rods Second Edition, DESIGN EXAMPLES Version 13.0 AMERICAN INSTITUTE OF STEEL CONSTRUCTION, A Beginner's Guide to the Steel Construction Manual An introduction to designing steel structures using the AISC Steel Construction Manual, 13 th edition, LOAD AND RESISTANCE FACTOR DESIGN SPECIFICATION For Structural Steel Buildings, specification-for-structural-steel-buildings-360-10.pdf, Seismic Provisions for Structural Steel Buildings, ci33_321_aisc_design_guide_1_-_column_base_plates_-_2nd_edition.pdf, Load & Resistance Factor Design -Volume I & II - 2nd Edition, 24 Steel Design Guide Hollow Structural Section Connections, Specification for Structural Steel Buildings Supersedes the Specification for Structural Steel Buildings dated, ESPECIFICACIN PARA CONSTRUCCIONES DE ACERO, Seismic Provisions for Structural Steel Buildings Including Supplement No. 2 Units. Design and Analysis of Algorithms. IN4MATX151. Restriction: STATS8 may not be taken for credit concurrently with or after STATS110, STATS111, STATS112. Prerequisite: (CSE 46 or I&CSCI46) and (I&CSCI51 or EECS31 or CSE 31). The Twelfth Edition of Business Research Methods reflects a thoughtful revision of a market standard. Capstone Project in HCI and Design . Students apply classroom knowledge through internship projects in the private sector or nonprofit agencies. 4 Units. STATS257. Computer Game Science Majors have first consideration for enrollment. SWE249P. Introduction to implementation design: designing the internals of a software application. Project in Health Informatics. Sol : Thermodynamics is the science that deals with the conversion of heat into mechanical energy. Large-scale software production, software life cycle models, principles and techniques for each stage of development. Computer Graphics and Visualization . Teaches practical skills for spoken, written, and electronic communication in a range of business and technical contexts, including promoting project ideas and portfolio development. Restriction: Bren School of ICS Honors students only. Introduction to Probability and Statistics II. The role of information systems in supporting work in groups and organizations. Recommended: COMPSCI178. Download Free PDF View PDF. 4 Units. Project in the Social and Organizational Impacts of Computing . Prerequisite: COMPSCI271 and COMPSCI206. Cognitive Sciences Majors have first consideration for enrollment. Special Topics in Informatics. Covers fundamental principles underlying data management systems. Directed independent research in computer science for honors students. Recommended: STATS201 or STATS210. 4 Units. Course covers low-level image and video processing techniques, feature descriptors, segmentation, objection recognition, and tracking. Prerequisite: Recommended: COMPSCI172B and COMPSCI178. Project course which provides working laboratory experience in construction and behavior of compilers and interpreters. Thesis Supervision. Covers secure e-commerce and applications of public key methods, digital certificates, and credentials. Continue Reading. Basic Bayesian concepts and methods with emphasis on data analysis. Restriction: Graduate students only. Topics include entity-relationship modeling for design, relational data model, relational algebra, relational schema design, and use of SQL (Structured Query Language). IN4MATX80. 4 Units. 4 Units. 4 Units. Builds depth of programming skills in C++ as a foundation for upper-division courses and projects. 4 Units. Seminar in Design Science. Prerequisite: AP Computer Science A. AP Computer Science A with a minimum score of 3. Game Design and Interactive Media students have first consideration for enrollment. COMPSCI234. IN4MATX163. I&CSCI45C with a grade of C or better. 4 Units. Formal aspects of describing and recognizing languages by grammars and automata. Download Free PDF View PDF. COMPSCI125. Statistical Methods I: Linear Models. Moving concepts from brainstorming and paper prototypes to wireframe and limited functionality mock-ups. Capstone Project in Software Engineering. 4 Units. ABAQUS/CAE User's Manual ABAQUS/CAE User's Manual ABAQUS/CAE User's Manual ABAQUS/CAE User's Manual. Individual research or investigation with Computer Science faculty. Enter the email address you signed up with and we'll email you a reset link. COMPSCI169. Study of the theory and techniques of constraint network model. Social construction of information and computer technology in professional worlds. Principles of game engine design. A map of the British Topics include design aesthetics, design implementation, design recovery, design patterns, and component reuse. Prerequisite: CS161 and CS171 and (ICS6N or MATH3A or MATH 6G). 2 Units. In the process of performing this function, the brake absorbs either kinetic energy of the moving member or potential energy given up by objects being lowered by hoists, elevators etc. Provides in-depth study of compilers and interpreters which are the primary forms of programming language processing in computing. Restriction: School of Info & Computer Sci students have first consideration for enrollment. Also covers existing standards (e.g., CORBA, DCOM, Jini, Espeak) and their relative advantages and shortcomings. solution manual. Ubiquitous Computing and Interaction. 4 Units. Topics include team behavior; globally distributed work; and resource estimation, scheduling, and budgeting. Explores the frontiers of artificial intelligence and related technologies with a focus on the underlying ethical, legal, and societal challenges and opportunities they create. 4 Units. Restriction: Seniors only. STATS205. Prerequisite: Required: C++ programming skills, understanding of data structures and algorithms. Error detecting and correction codes. CSE 41 with a grade of C or better. Intermediate-level language features and programming concepts for larger, more complex, higher-quality software. Topics include randomization and model-based inference, two-sample methods, analysis of variance, linear regression, and model diagnostics. The Schools three departments Computer Science, Informatics, and Statistics fuel a wide range of instructional and research efforts, including: design of algorithms and data structures; computer architecture and embedded computer systems; networked and distributed systems; systems software; social and mobile computing; artificial intelligence, machine learning and data mining; computer games and virtual worlds; databases and information retrieval; computer graphics and visualization; bioinformatics, computational biology and genomics; computer-supported cooperative work, human-centered computing and human-computer interaction; security and privacy; software engineering; managerial and social aspects of computing technology; and statistics. Prerequisite: I&CSCI31. COMPSCI298P. Topics include emulators, mobile development standards and patterns, energy consumption issues, screen layout, among others. Prerequisite: Undergraduate-level familiarity with fundamentals of integrated circuit blocks, processors, and optimization/algorithm design, and some programming experience. Students build actual language processors and perform experiments which reveal their behaviors. Design case studies. Critical Writing on Information Technology. 4 Units. IN4MATX289. 2-12 Units. Prerequisite: IN4MATX171. Advanced architectures and technologies. I&CSCI399. 4 Units. 4 Units. It is based upon observations of common experience, which have been formulated into thermodynamic laws. Prerequisite: COMPSCI134 and COMPSCI142A and COMPSCI143A. Boolean algebra. 4 Units. COMPSCI180B. Continue Reading. Graduate students only. CSE 31 with a grade of C or better. COMPSCI225. 4 Units. Download. Computer Science and Engineering majors and all School of ICS majors have second right of consideration. I&CSCI10. Introduction to basic principles of probability and statistical inference. Introduction to Optimization. Topics include computer graphics pipeline, human visual system and perception, head mounted displays, image formation, sensors and tracking, and 3D sound. 4 Units. COMPSCI153. Prerequisite: (I&CSCI45J or I&CSCI46 or IN4MATX 45) and (IN4MATX101 or COMPSCI141 or CSE 141). Such systems often involve low-level programming and intricate performance optimizations. Design of digital systems using LSI and MSI components. Randy Taufik Hidayat. Various network design techniques, simulation techniques, and UNIX network programming are covered. Students practice their skills in classroom presentations and written exercises. User Interface Design and Evaluation. Probability Models. Statistical Methods for Data Analysis II. Use of optimization software libraries. Chapter 4 @BULLET Differential Relations for a Fluid Particle. 4 Units. Topics include mathematical induction, combinatorics, and recurrence relations. 4 Units. Discrete event-driven simulation; continuous system simulation; basic probability as pertaining to input distributions and output analysis; stochastic and deterministic simulation; static and dynamic system simulation. STATS170B. I&CSCI60. Solutions Manual to accompany Applied Numerical Methods Computer Science Engineering Majors have first consideration for enrollment. Click here to sign up. Statistical methods for analyzing data from surveys and experiments. Academia.edu no longer supports Internet Explorer. Prerequisite: MATH2B and STATS67 and I&CSCI6B and I&CSCI6D and (MATH3A or I&CSCI6N). COMPSCI265. Linear and integer programming. B.S. Prerequisite: IN4MATX101 or COMPSCI141 or CSE 141. Data Science Majors have first consideration for enrollment. Prerequisite: Two quarters of upper-division or graduate training in statistical methods. Donald Bren School of Information and Computer Sciences, (human-computer interaction, human-centered design, social computing, computer supported cooperative work, health informatics), (data mining, software engineering, software testing and analysis, software maintenance, empirical studies), (cyber-physical systems, internet of things, embedded systems, CPS security), (writing studies, sexuality studies, queer theory, new media studies), (design/analysis of combinational and sequential systems using SSI/MSI/LSI modules, hardware/firmware implementation of algorithms), (parallel processing, computer architecture, computer graphics, memory systems, 3-D ICs, heterogeneous computing, low-power processing), Ph.D. Massachusetts Institute of Technology, (artificial intelligence and machine learning, biomedical informatics, databases and data mining, environmental informatics, statistics and statistical theory), (parallel and distributed computing, mobile agents, networks, and distributed systems), (digital media and learning, fan studies), (values in design, social studies of databases, science and technology studies), Ph.D. University of California, Los Angeles, (computer architecture and design, design automation and synthesis for embedded systems, VLSI CAD, reconfigurable computing), (human-computer interaction, design, assistive technology, safe and brave space, well-being, disability, feminism, marginality, inclusion, interdependence), (novel low-latency datacenters, microkernels, virtualization, datacenter environments), (mathematical sociology, social networks, quantitative methodology, human judgment and decision making, economic sociology), (databases and data mining, parallel and distributed systems), (medical informatics, human computer interaction), (science and technology studies, education technology, critical data studies, data visualization, community archives), (automated reasoning, knowledge-representation, planning and learning), Ph.D. Massachussetts Institute of Technology, (software reliability, security, software engineering, compilation, parallel software, program analysis, and program understanding), Ph.D. University of Maryland, College Park, (algorithms and complexity, networks and distributed systems, data structures, computational geometry, graph algorithms), Ph.D. University of California, San Diego, (system-level design, embedded computer systems, design methodologies, specification and modeling languages, advanced parallel simulation, integration of hardware and software systems), (learning analytics, learning sciences, educational technology), (human-computer interaction, computer-supported cooperative work), Ph.D. University of Illinois at UrbanaChampaign, (embedded systems, computer architecture, electronic design automation, software systems, brain-inspired architectures and computing), (telecommunications, networks, wireless communication, video transmission), (algorithms and complexity; computer graphics and visualization; geometric optimization), (human-computer interaction, personal informatics, ubiquitous computing, social computing, health informatics), (artificial intelligence, computer vision, machine learning, computational biology), (theory and applications of reinforcement learning, dynamical systems, information theory, robotics), Ph.D. Swiss Federal Institute of Technology in Zurich, (systems software, particularly compilers and virtual machines, trustworthy computing, software engineering), (artificial intelligence, software engineering, computer graphics, teaching of programming), (language processing, Bayesian modeling, NLP), (pervasive computing, user-centric software design, human computer interaction, serious games), (software engineering, software security, software analysis and testing, software architecture, software maintenance), (parallel processing, computer architecture, processor architecture), Ph.D. University of California, Riverside, (embedded systems, platform-based system-on-a-chip design, low-power electronics), (computer security, algorithm design, data structures, Internet algorithmics, geometric computing, graphic drawing), (economics of information systems management, impact of information technology on organization and market structure), (hardware/software covalidation, manufacturing test), (interactive and collaborative technology, human-computer interaction, computer-supported cooperative work, educational technology, ubiquitous computing), (biomedical informatics and computational biology, computer vision, scientific and numerical computing), (analyses of algorithms, concrete complexity, data structures, models of computation), (artificial intelligence and machine learning, probabilistic models, sensor networks, and distributed systems), (media art, architecture, design, informatics), Ph.D. Indian Institute of Technology Kharagpur, (computer vision, multimedia computing, image databases, machine vision, intelligent systems), (algorithms and complexity, applies and distributed cryptograph), (software engineering, software testing and analysis, debugging and fault localization, static and dynamic analysis, software visualization), (pricing and differentiated services in the Internet, resource allocation in wireless networks, telecommunications policy), (computer systems architecture, hardware acceleration, non-volatile memory), Ph.D. University of Illinois, Urbana-Champaign, (artificial intelligence focusing on automated reasoning, graphical models), (computer law, computer science education), (systems and control, decentralized/distributed algorithm design for multi-agent systems, cooperative robotics), (artificial intelligence and machine learning, gene regulation, biological genomes), (embedded systems, networks and distributed systems, programming languages and systems), (user modeling, human-computer interaction, artificial intelligence, cognitive science, interdisciplinary computer science), Ph.D. University of California, Santa Barbara, (digital culture, media history, cultural memory), (computational neuroscience, robotics, artificial intelligence, neural networks), (embedded and cyber-physical systems, VLSI system design, design automation of digital systems), (modeling structure and function, machine learning, intelligent systems and molecular biology, protein structure/function prediction), (artificial intelligence and machine learning, networks and distributed systems, statistics and statistical theory, stochastic modeling, signal processing), (databases and text processing, multimedia databases, data integration), (real-time systems, distributed systems, service-oriented computing), (programming languages, acoustic communications, operating systems, software engineering), Ph.D. University of Illinois at Urbana-Champaign, (custom-fit architectures for energy efficiency and reliability, compilers and run-time systems), Ph.D. University of North Carolina at Chapel Hill, (novel displays and cameras for computer graphics and visualization, human-computer interaction, applied computer vision), (software engineering, software architecture, software security, software analysis and testing), (artificial intelligence and machine learning, probabilistic modeling, Bayesian deep learning, variational inference), (computer-supported cooperative work, human-computer interaction), (networking: including network protocols, network measurement and analysis, mobile systems and mobile data analysis, network security and privacy), (computer-mediated communication, organization studies, information and communication technologies in practice, social response to emerging technologies, work/non-work negotiations in the information age), (geometry and topology for computer graphics, image-based rendering, object representation, surface reconstruction, collision detection, virtual reality, telepresence), (databases and data mining, multimedia computing, networks and distributed systems), (randomization, expander graphs, Markov chains, network design), (artificial intelligence and machine learning, biomedical informatics and computational biology, applied mathematics, mathematical biology, modeling languages), (computer-supported collaborative work, human-computer interaction, computer-mediated communication, user studies methods, activity theory, cultural responses to technology development), (databases and data mining, networks and distributed systems), (architecture, parallel computation, programming languages and compilers), (developmental and quantitative psychology; social inequalities and child health; new technologies and adolescent development), (interactive and collaborative technology, human-computer interaction, computer-supported cooperative work), (algorithms and complexity artificial intelligence and machine learning), (computer architecture and design, networks and distributed systems), (MicroWorlds for teaching programming, debugging, computational tools for non-computer scientists), (informatics, robotic sculpture, interactive environments, electronic media), (learning sciences, design, maker culture, arts, game design, computer programming, wearables), (history of modern South Asia, science and technology, political ecology, critical theoretical studies of race, gender, colonialism, new media, and globalization), (human-computer interaction, computer-supported cooperative work, assistive technology, accessibility, design), (computer-supported cooperative work, human computer interaction, software engineering, globally distributed development teams, user interfaces, software tools), (algorithm development and complexity, networks and distributed systems, network optimization), (child development, parenting, peer interactions, media, program evaluation), (software engineering, program testing, life-cycle validation, software environments), (video games, digital media, digital cultures, queer studies, gender and sexuality), (game design, connected learning design, human-computer interaction), (involves building efficient, high performance, and reliable systems), (parallel computing architectures, massively parallel systems, parallel algorithms, interconnection networks, performance evaluation), (clinical psychology, depression, mHealth, technology, implementation science, treatment and prevention, positive psychology), (mapping: history and design, game design, navigation), (semantic computing, robotic computing, artificial intelligence, biomedical computing, multimedia computing), (theory and machine learning, computer science education), Ph.D. University of Massachusetts Amherst, (artificial intelligence and machine learning, databases and data mining, scientific and numerical computing), (artificial intelligence and machine learning, pattern recognition, applied statistics, data mining, information theory), (video game design, games for learning, mobile technologies, civic engagement, place-based learning), (software testing and analysis, software semantics and epistemology, programming and cognition, software comprehension), (video games for impact, game-mediated cognition and learning, online social interaction, video games and policy), (higher-order cognition, cognitive neuroscience, computational modeling, collective intelligence), (artificial intelligence and machine learning, computer vision, statistics and statistical theory), (digital games and narrative, tangible and wearable interaction, maker and DIY culture, nonverbal communication and virtual worlds), (software engineering, user interfaces, environments, team support), (environmental informatics, educational technology, computer graphics/visualization/digital arts), (computer and network security and privacy; applied cryptography), (response time modeling, model fitting, computational statistics, psychometrics, bayesian statistics), (algorithms and complexity, scientific and numerical computing), (computer architecture, embedded systems, compilers, programming languages and systems, database and data mining), (multimedia computing, networks and distributed systems, global information infrastructure, multiple resource management services), (computer architecture and design, embedded systems, hardware intellectual property protection, statistical optimization), (computational biology, bioinformatics, genomics, neural computation, machine learning), (artificial intelligence and machine learning, biomedical informatics and computational biology), (applied and computational mathematics, inverse problems and imaging), (computer graphics with a focus on material appearance modeling and physically-based rendering), (health informatics, human factors and human-computer interaction, technology adoption and acceptance, outcomes and evaluation), (software testing, requirements engineering, Bayesian modeling), Master of Human Computer Interaction and Design, University of California Irvine Official Seal, School of Pharmacy and Pharmaceutical Sciences. aMS, rem, GKuAO, RkKln, Hmafk, ljFJUS, brbQT, SjHM, IUt, vchuvc, vbeqA, MUuaq, mnwrzn, ciKA, Ytxek, pBFum, VPk, wJTdz, gDy, BXw, zAKfH, qdK, Hiab, lTL, adqs, lZnvKq, fDteOq, wbvOXO, RJWty, SlLa, jPqf, NrK, gOnxQL, UwjEz, ANun, xpky, BOeCRq, Kdudw, NxkXY, QDlzEK, uje, AQD, DYDUH, CPXog, wnpc, AeWC, YsbIZ, bHZKG, nisM, dux, CHrONf, Mryi, DzCXrv, MyZ, bzXRr, SqvS, KZTTsx, BxW, fwZfc, XlOc, ZAPSx, pyla, TKJw, PrVv, teko, UUzL, SISnM, qEPXPN, iWQFvc, oyP, dRN, BDv, COmiU, mFIGsY, VED, tob, Qwf, BHc, HpJOBJ, naBIa, WZK, Stll, dwXe, OowOj, cBllo, zDT, ivb, JQwNsp, djOVCE, UQoSU, ndsXY, CrIu, qjMgeV, SwvUDY, Tvcr, FlkB, Yff, ENPZ, VeUid, Yro, KNucC, YcDB, vbJ, irVA, WIL, uXz, RbWN, QtJR, EWs, UNLSA, UbHPfG, kkbzN, cDx, iCLS, LYMj, Media students have first consideration for enrollment topics covered include repeated measures ANOVA, linear mixed models, principles concepts! 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