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ARTG-2306-CRN-11966-Graphic Design I Computer Graphics
Course Information Graphic Design 1: Computer Graphics ARTG 2306, CRN 11966, Section 001 FALL 2019 Class Hours: 1:30 pm - 4:20 pm, MW, Room LART 411 Instructor Contact Information Instructor: Nabil Gonzalez E-mail: [email protected] Office: Office Hours: Instructor Information Nabil Gonzalez is your instructor for this course. She holds an Associate of Arts degree from El Paso Community College, a double BFA degree in Graphic Design and Printmaking from the University of Texas at El Paso and an MFA degree in Printmaking from the Rhode Island School of Design. As a studio artist, Nabil’s work has been focused on social and political views affecting the borderland as well as the exploration of identity, repetition and erasure. Her work has been shown throughout the United State, Mexico, Colombia and China. Her artist books and prints are included in museum collections in the United States. Course Description Graphic Design 1: Computer Graphics is an introduction to graphics, illustration, and page layout software on Macintosh computers. Students scan, generate, import, process, and combine images and text in black and white and in color. Industry standard desktop publishing software and imaging programs are used. The essential applications taught in this course are: Adobe Illustrator, Adobe Photoshop and Adobe InDesign. Course Prerequisite Information Course prerequisites include ARTF 1301, ARTF 1302, and ARTF 1304 each with a grade of “C” or better. Students are required to have a foundational understanding of the elements of design, the principles of composition, style, and content. Additionally, students must have developed fundamental drawing skills. These skills and knowledge sets are provided through the Department of Art’s Foundational Courses. -
Computer Graphics and Visualization
European Research Consortium for Informatics and Mathematics Number 44 January 2001 www.ercim.org Special Theme: Computer Graphics and Visualization Next Issue: April 2001 Next Special Theme: Metacomputing and Grid Technologies CONTENTS KEYNOTE 36 Physical Deforming Agents for Virtual Neurosurgery by Michele Marini, Ovidio Salvetti, Sergio Di Bona 3 by Elly Plooij-van Gorsel and Ludovico Lutzemberger 37 Visualization of Complex Dynamical Systems JOINT ERCIM ACTIONS in Theoretical Physics 4 Philippe Baptiste Winner of the 2000 Cor Baayen Award by Anatoly Fomenko, Stanislav Klimenko and Igor Nikitin 38 Simulation and Visualization of Processes 5 Strategic Workshops – Shaping future EU-NSF collaborations in in Moving Granular Bed Gas Cleanup Filter Information Technologies by Pavel Slavík, František Hrdliãka and Ondfiej Kubelka THE EUROPEAN SCENE 39 Watching Chromosomes during Cell Division by Robert van Liere 5 INRIA is growing at an Unprecedented Pace and is starting a Recruiting Drive on a European Scale 41 The blue-c Project by Markus Gross and Oliver Staadt SPECIAL THEME 42 Augmenting the Common Working Environment by Virtual Objects by Wolfgang Broll 6 Graphics and Visualization: Breaking new Frontiers by Carol O’Sullivan and Roberto Scopigno 43 Levels of Detail in Physically-based Real-time Animation by John Dingliana and Carol O’Sullivan 8 3D Scanning for Computer Graphics by Holly Rushmeier 44 Static Solution for Real Time Deformable Objects With Fluid Inside by Ivan F. Costa and Remis Balaniuk 9 Subdivision Surfaces in Geometric -
Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering
Eurographics Conference on Visualization (EuroVis) 2017 Volume 36 (2017), Number 3 J. Heer, T. Ropinski and J. van Wijk (Guest Editors) Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering Donghao Ren1, Bongshin Lee2, and Tobias Höllerer1 1University of California, Santa Barbara, United States 2Microsoft Research, Redmond, United States Abstract Web-based visualization libraries are in wide use, but performance bottlenecks occur when rendering, and especially animating, a large number of graphical marks. While GPU-based rendering can drastically improve performance, that paradigm has a steep learning curve, usually requiring expertise in the computer graphics pipeline and shader programming. In addition, the recent growth of virtual and augmented reality poses a challenge for supporting multiple display environments beyond regular canvases, such as a Head Mounted Display (HMD) and Cave Automatic Virtual Environment (CAVE). In this paper, we introduce a new web-based visualization library called Stardust, which provides a familiar API while leveraging GPU’s processing power. Stardust also enables developers to create both 2D and 3D visualizations for diverse display environments using a uniform API. To demonstrate Stardust’s expressiveness and portability, we present five example visualizations and a coding playground for four display environments. We also evaluate its performance by comparing it against the standard HTML5 Canvas, D3, and Vega. Categories and Subject Descriptors (according to ACM CCS): -
4.3 Discovering Fractal Geometry in CAAD
4.3 Discovering Fractal Geometry in CAAD Francisco Garcia, Angel Fernandez*, Javier Barrallo* Facultad de Informatica. Universidad de Deusto Bilbao. SPAIN E.T.S. de Arquitectura. Universidad del Pais Vasco. San Sebastian. SPAIN * Fractal geometry provides a powerful tool to explore the world of non-integer dimensions. Very short programs, easily comprehensible, can generate an extensive range of shapes and colors that can help us to understand the world we are living. This shapes are specially interesting in the simulation of plants, mountains, clouds and any kind of landscape, from deserts to rain-forests. The environment design, aleatory or conditioned, is one of the most important contributions of fractal geometry to CAAD. On a small scale, the design of fractal textures makes possible the simulation, in a very concise way, of wood, vegetation, water, minerals and a long list of materials very useful in photorealistic modeling. Introduction Fractal Geometry constitutes today one of the most fertile areas of investigation nowadays. Practically all the branches of scientific knowledge, like biology, mathematics, geology, chemistry, engineering, medicine, etc. have applied fractals to simulate and explain behaviors difficult to understand through traditional methods. Also in the world of computer aided design, fractal sets have shown up with strength, with numerous software applications using design tools based on fractal techniques. These techniques basically allow the effective and realistic reproduction of any kind of forms and textures that appear in nature: trees and plants, rocks and minerals, clouds, water, etc. For modern computer graphics, the access to these techniques, combined with ray tracing allow to create incredible landscapes and effects. -
Catalogue Description
INF 454: Data Visualization and User Interface Design Spring 2016 Syllabus Day/Times: TBD (4 Units) Location: TBD Instructor: Dr. Luciano Nocera Email: [email protected] Phone: (213) 740-9819 Office: PHE 412 Course TA: TBD Email: TBD Office Hours: TBD IT Support: TBD Email: TBD Office Hours: TBD Instructor’s Office Hours: TBD; other hours by appointment only. Students are advised to make appointments ahead of time in any event and be specific with the subject matter to be discussed. Students should also be prepared for their appointment by bringing all applicable materials and information. Catalogue Description One of the cornerstones of analytics is presenting the data to customers in a usable fashion. When considering the design of systems that will perform data analytic functions, both the interface for the user and the graphical depictions of data are of utmost importance, as it allows for more efficient and effective processing, leading to faster and more accurate results. To foster the best tools possible, it is important for designers to understand the principles of user interfaces and data visualization as the tools they build are used by many people - with technical and non-technical background - to perform their work. In this course, students will apply the fundamentals and techniques in a semester-long group project where they design, build and test a responsive application that runs on mobile devices and desktops and that includes graphical depictions of data for communication, analysis, and decision support. Short description: Foundational course focusing on the design, creation, understanding, application, and evaluation of data visualization and user interface design for communicating, interacting and exploring data. -
Math 253: Mathematical Methods for Data Visualization – Course Introduction and Overview (Spring 2020)
Math 253: Mathematical Methods for Data Visualization – Course introduction and overview (Spring 2020) Dr. Guangliang Chen Department of Math & Statistics San José State University Math 253 course introduction and overview What is this course about? Context: Modern data sets often have hundreds, thousands, or even millions of features (or attributes). ←− large dimension Dr. Guangliang Chen | Mathematics & Statistics, San José State University2/30 Math 253 course introduction and overview This course focuses on the statistical/machine learning task of dimension reduction, also called dimensionality reduction, which is the process of reducing the number of input variables of a data set under consideration, for the following benefits: • It reduces the running time and storage space. • Removal of multi-collinearity improves the interpretation of the parameters of the machine learning model. • It can also clean up the data by reducing the noise. • It becomes easier to visualize the data when reduced to very low dimensions such as 2D or 3D. Dr. Guangliang Chen | Mathematics & Statistics, San José State University3/30 Math 253 course introduction and overview There are two different kinds of dimension reduction approaches: • Feature selection approaches try to find a subset of the original features variables. Examples: subset selection, stepwise selection, Ridge and Lasso regression. ←− Already covered in Math 261A • Feature extraction transforms the data in the high-dimensional space to a space of fewer dimensions. ←− Focus of this course Examples: principal component analysis (PCA), ISOmap, and linear discriminant analysis (LDA). Dr. Guangliang Chen | Mathematics & Statistics, San José State University4/30 Math 253 course introduction and overview Dimension reduction methods to be covered in this course: • Linear projection methods: – PCA (for unlabled data), – LDA (for labled data) • Nonlinear embedding methods: – Multidimensional scaling (MDS), ISOmap – Locally linear embedding (LLE) – Laplacian eigenmaps Dr. -
Animated Presentation of Static Infographics with Infomotion
Eurographics Conference on Visualization (EuroVis) 2021 Volume 40 (2021), Number 3 R. Borgo, G. E. Marai, and T. von Landesberger (Guest Editors) Animated Presentation of Static Infographics with InfoMotion Yun Wang1, Yi Gao1;2, Ray Huang1, Weiwei Cui1, Haidong Zhang1, and Dongmei Zhang1 1Microsoft Research Asia 2Nanjing University (a) 5% (b) time Element Animation effect Meats, sweets slice spin link wipe dot zoom 35% icon zoom 10% Whole grains, title zoom OliVer oil pasta, beans, description wipe whole grain bread Mediterranean Diet 20% 30% 30% Vegetables and fruits Fish, seafood, poultry, Vegetables and fruits dairy food, eggs Figure 1: (a) An example infographic design. (b) The animated presentations for this infographic show the start time, duration, and animation effects applied to the visual elements. InfoMotion automatically generates animated presentations of static infographics. Abstract By displaying visual elements logically in temporal order, animated infographics can help readers better understand layers of information expressed in an infographic. While many techniques and tools target the quick generation of static infographics, few support animation designs. We propose InfoMotion that automatically generates animated presentations of static infographics. We first conduct a survey to explore the design space of animated infographics. Based on this survey, InfoMotion extracts graphical properties of an infographic to analyze the underlying information structures; then, animation effects are applied to the visual elements in the infographic in temporal order to present the infographic. The generated animations can be used in data videos or presentations. We demonstrate the utility of InfoMotion with two example applications, including mixed-initiative animation authoring and animation recommendation. -
Information Graphics Design Challenges and Workflow Management Marco Giardina, University of Neuchâtel, Switzerland, Pablo Medi
Online Journal of Communication and Media Technologies Volume: 3 – Issue: 1 – January - 2013 Information Graphics Design Challenges and Workflow Management Marco Giardina, University of Neuchâtel, Switzerland, Pablo Medina, Sensiel Research, Switzerland Abstract Infographics, though still in its infancy in the digital world, may offer an opportunity for media companies to enhance their business processes and value creation activities. This paper describes research about the influence of infographics production and dissemination on media companies’ workflow management. Drawing on infographics examples from New York Times print and online version, this contribution empirically explores the evolution from static to interactive multimedia infographics, the possibilities and design challenges of this journalistic emerging field and its impact on media companies’ activities in relation to technology changes and media-use patterns. Findings highlight some explorative ideas about the required workflow and journalism activities for a successful inception of infographics into online news dissemination practices of media companies. Conclusions suggest that delivering infographics represents a yet not fully tapped opportunity for media companies, but its successful inception on news production routines requires skilled professionals in audiovisual journalism and revised business models. Keywords: newspapers, visual communication, infographics, digital media technology © Online Journal of Communication and Media Technologies 108 Online Journal of Communication and Media Technologies Volume: 3 – Issue: 1 – January - 2013 During this time of unprecedented change in journalism, media practitioners and scholars find themselves mired in a new debate on the storytelling potential of data visualization narratives. News organization including the New York Times, Washington Post and The Guardian are at the fore of innovation and experimentation and regularly incorporate dynamic graphics into their journalism products (Segel, 2011). -
Introduction to Geospatial Data Visualization
Introduction to Geospatial Data Visualization Lecturers: Viktor Lagutov, Katalin Szende, Joszef Laszlovsky. Ruben Mnatsakanian Duration: Fall term (September – December) Credits: 2 Course level: PhD / MA Maximum number of students: 15 Pre-requisites: none Software: GoogleEarthPro, qGIS, online mapping tools (e.g. GoogleMaps, ArcGISonline) Rapidly growing cross-disciplinary recognition and availability made Geospatial Methods in general, and Mapping, in particular, a popular approach in many research areas. Till recently, maps development had been a prerogative of cartographers and, later, experts in specialized mapping packages. Latest advances in hardware and software have opened this area to researchers in other disciplines and allowed them to enhance traditional research methods. The wide spectrum of such technologies and approaches is often referred as Geographic Information Systems (GIS) and includes, among others, mapping packages, geospatial analysis, crowdsourcing with mobile technologies, drones, online interactive data publishing. The geospatial literacy is becoming not an optional advantage for researchers and policy officers, but a basic requirement for many employers. The aim of the course is to develop basic understanding of spatially referenced data use and to explore potential applications of GIS in various research areas. The sessions provide both theoretical understanding and practical use of geospatial data and technologies for mapping societal and environmental phenomena. Students will learn basic features of GIS packages and the ways to utilize them for own research. The course is focused on practical skills in geospatial data visualization (mapping) and consists of • Theoretical sessions on principles of geospatial data visualization, cartography and GIS basics; • Practicals on learning GIS methods and getting mapping skills using free open source packages; • Supervised and independent students’ work on individual course projects. -
Efficiently Using Graphics Hardware in Volume Rendering Applications
Efficiently Using Graphics Hardware in Volume Rendering Applications Rudiger¨ Westermann, Thomas Ertl Computer Graphics Group Universitat¨ Erlangen-Nurnber¨ g, Germany Abstract In this paper we are dealing with the efficient generation of a visual representation of the information present in volumetric data OpenGL and its extensions provide access to advanced per-pixel sets. For scalar-valued volume data two standard techniques, the operations available in the rasterization stage and in the frame rendering of iso-surfaces, and the direct volume rendering, have buffer hardware of modern graphics workstations. With these been developed to a high degree of sophistication. However, due to mechanisms, completely new rendering algorithms can be designed the huge number of volume cells which have to be processed and and implemented in a very particular way. In this paper we extend to the variety of different cell types only a few approaches allow the idea of extensively using graphics hardware for the rendering of parameter modifications and navigation at interactive rates for real- volumetric data sets in various ways. First, we introduce the con- istically sized data sets. To overcome these limitations we provide cept of clipping geometries by means of stencil buffer operations, a basis for hardware accelerated interactive visualization of both and we exploit pixel textures for the mapping of volume data to iso-surfaces and direct volume rendering on arbitrary topologies. spherical domains. We show ways to use 3D textures for the ren- Direct volume rendering tries to convey a visual impression of dering of lighted and shaded iso-surfaces in real-time without ex- the complete 3D data set by taking into account the emission and tracting any polygonal representation. -
Tree-Map: a Visualization Tool for Large Data
TREE-MAP: A VISUALIZATION TOOL FOR LARGE DATA Mahipal Jadeja Kesha Shah DA-IICT DA-IICT Gandhinagar,Gujarat Gandhinagar,Gujarat India India Tel:+91-9173535506 Tel:+91-7405217629 [email protected] [email protected] ABSTRACT 1. INTRODUCTION Traditional approach to represent hierarchical data is to use Tree-Maps are used to present hierarchical information on directed tree. But it is impractical to display large (in terms 2-D[1] (or 3-D [2]) displays. Tree-maps offer many features: of size as well complexity) trees in limited amount of space. based upon attribute values users can specify various cate- In order to render large trees consisting of millions of nodes gories, users can visualize as well as manipulate categorized efficiently, the Tree-Map algorithm was developed. Even file information and saving of more than one hierarchy is also system of UNIX can be represented using Tree-Map. Defi- supported [3]. nition of Tree-Maps is recursive: allocate one box for par- Various tiling algorithms are known for tree-maps namely: ent node and children of node are drawn as boxes within Binary tree, mixed treemaps, ordered, slice and dice, squar- it. Practically, it is possible to render any tree within prede- ified and strip. Transition from traditional representation fined space using this technique. It has applications in many methods to Tree-Maps are shown below. In figure 1 given fields including bio-informatics, visualization of stock port- hierarchical data and equivalent tree representation of given folio etc. This paper supports Tree-Map method for data data are shown. One can consider nodes as sets, children integration aspect of knowledge graph. -
Connected 2D and 3D Visualizations for the Interactive Exploration of Spatial Information
CONNECTED 2D AND 3D VISUALIZATIONS FOR THE INTERACTIVE EXPLORATION OF SPATIAL INFORMATION S. Bleisch *, S. Nebiker FHNW, University of Applied Sciences Northwestern Switzerland, Institute of Geomatics Engineering, CH-4132 Muttenz, Switzerland - (susanne.bleisch, stephan.nebiker)@fhnw.ch KEY WORDS: Geovisualization, Three-dimensional representation, Interactive, Spatial Data Exploration, Virtual globe, Development ABSTRACT: This paper describes the concepts and the successful prototypal implementation of interactively connected 2D information visualizations and data displays in 3D virtual environments for the interactive exploration of spatial data and information. Virtual globes or earth viewers such as Google Earth have become very popular over the last few years. They are used for looking at holiday destinations but more importantly also for scientific visualizations. From a geovisualization point of view we might regard 3D data or information displays as yet another representation type that adds to the multitude of information visualization methods. Combining 3D views of data sets with traditional 2D displays offers the advantage of being able to use 3D if and when this type of representation is considered useful or effective for finding new insights into a data set. The traditional and newer displays of mainly 2D information visualization may be enhanced and new insights into the data may be generated by displays of the data in a 3D virtual environment. On the other hand, data in 3D displays might be better understood by simultaneously reading and querying connected 2D representations.The paper presents a prototypal implementation of the interactively connected visualizations of spatial information in 2D views and 3D virtual environments using the brushing technique.