This program provides an overview and introduction to storytelling using virtual environments and/or 360 degree video. Students will learn about the history of Virtual Reality (VR) and its relation to other media arts as a basis for creating their own immersive narrative or documentary experiences using easily accessible hardware and software. We will ask and answer questions such as: • What are the special challenges and opportunities when working with immersive media? • What experiences can be achieved with immersive media that are not available in any other medium? • What kinds of stories or experiences work best for immersive media? • What are the most effective platforms for delivery? • How can immersive audio be used most effectively? • What are the limitations of immersive media? • What is the future of virtual reality for storytelling? Students will need access to a consumer grade 360 video camera or prior skills using a 3D game engine such as Unreal or Unity to complete assignments. No prior technical experience is required. Access to a home VR display system is helpful but not required. 本项目将提供了一个概述和介绍使用虚拟环境和/或360度全景视频讲故事。学生将学习虚拟现实(VR)的历史及其与其他媒体艺术的关系，以此为基础，使用易于获取的硬件和软件，创造自己的沉浸式场景体验。项目将就沉浸式体验的独特性、交付平台及未来发展应用深入讨论及实践，学生将在项目结束时，搭建自己的虚拟场景
Steve导师现任游戏设计专排Top4的加州大学洛杉矶分校终身正教授，导师的研究致力于前沿技术及数字媒体的交叉领域。 此前，导师曾在游戏设计专排Top1的南加州大学有过长达15年的教学及研究经验。导师著作等身，其代表作《视觉技术:数据和图像之间的战争》调查了从19世纪30年代到现在，计算和摄影图像制作的竞争机制的出现，重点关注与空间、数据可视化和监视相关的文化含义。导师同时是公共媒体档案和公平使用倡导网络Critical Commons的创始人/首席研究员。他与Tara McPherson共同编辑了跨学科电子期刊Vectors，并担任网络视觉文化联盟(开源电子出版平台Scalar的开发人员)的联合首席研究员。 Steve Anderson is a scholar-practitioner working at the intersection of media, history, technology and culture. His book Technologies of Vision: The War Between Data and Images (MIT, 2017) surveys the emergence of competing regimes of computational and photographic image making from the 1830s to the present, focusing on cultural implications related to space, data visualization and surveillance. In 2015, Anderson was awarded a Digital Innovation Fellowship by the American Council of Learned Societies to create Technologies of Cinema, incorporating video essays and textual analysis in an open access media archive. He is also the founder/principal investigator of the public media archive and fair use advocacy network Critical Commons. Before coming to UCLA TFT, Anderson taught for 15 years in the USC School of Cinematic Arts, where he was the founding director of the practice-based Ph.D. program in Media Arts + Practice and a faculty member in the divisions of Interactive Media & Games, Media Arts + Practice and Critical Studies.
VR与全景视频介绍和消歧:历史背景;创造成功沉浸式媒体的策略
Introduction and disambiguation: VR and 360 videos; historical context; strategies for creating successful immersive media.
沉浸式叙事实例与媒体艺术实验: 设计核心理念与初步准备
Immersive storytelling examples and media art experiments; storyboarding and preproduction; finding a conceptual core.
全景视频捕获工具、编辑和显示;快速原型设计及基于用户体验测试的迭代设计
Tools for 360 video capture, editing, and display; rapid prototyping and viewer testing; iterative design.
项目规划和范围策略、沉浸式场景中的声音技术
Project planning and scoping strategies; workshop project ideas. Advanced concepts in editing and sound; uploading and sharing 360 media.
学术研讨1：教授与各组学生探讨并评估各组期末产出可行性，帮助学生明晰后续产出思路
Final Project Preparation Session I
学术研讨2：学生将在本周课前完成设计原型（prototype），教授将根据各组进度进行个性化指导，确保学生优质的终期课题产出
Final Project Preparation Session II
项目成果展示
Final Presentation
工程
黑碳的环境老化与环境氧化
同济大学 环境科学与工程学院 教授 博导 美国加州大学洛杉矶分校 访问学者 研究方向： 1. 环境污染与修复 2. 土壤环境学 3. 纳米环境学 主讲课程： 环境污染修复学，环境地学 已在专业核心学术刊物及国内外会议发表论文30余篇，申请国家专利6项，其中已授权4项。主持国家自然科学基金项目6项、浙江省自然科学基金1项，参与国家自然科学重点基金、国家重点研发计划项目课题、教育部科技创新工程重大培育项目、上海市科委社会发展项目4项。担任《农业资源与环境学报》编委、ES&T等二十余种SCI刊物审稿人，国家自然科学基金项目通讯评审专家、国家重点研发项目视频答辩评审专家。
工程
自动化与控制理论专题：机器人设计与应用研究【大学组】
Nader导师于1988年加入佐治亚理工学院，现任George W. Woodruff机械工程学院终身教授及机器人博士项目主任，Nader教授在加州大学伯克利分校取得硕士及博士学位，早期研究工作是在机器人和自动化领域。他在这一领域的主要贡献是开发了一类用于非线性机械系统的自适应和学习控制器，包括机器人操纵器，它使机器人像人类一样能够通过实践来学习重复的任务，且不需要精确的模型。后来工业生产证明，实现这种学习控制器可以在不显著增加成本或复杂性的情况下显著提高工业机器人的性能，并有潜力提高自动化制造系统的准确性、自主性和生产率。除了机器人技术，导师还曾开发了一种类似的学习控制器，用于调节复印机感光器的速度，这是施乐公司赞助的一个项目的一部分。 Dr. Nader's early research work was in the field of robotics and automation. His major contribution to this field was the development of a class of adaptive and learning controllers for nonlinear mechanical systems including robotic manipulators. This work, which evolved from his doctoral research, enables a robot to learn a repetitive task through practice, much like a human being, and without requiring a precise model. He later demonstrated that implementing this learning controller can significantly improve the performance of industrial robots without significantly increasing their cost or complexity, and has the potential to improve the accuracy, autonomy, and productivity of automated manufacturing systems. In addition to robotics, he developed a similar learning controller for speed regulation of copier photoreceptors as part of a project sponsored by the Xerox Corporation. Dr. Sadegh began at Tech in 1988 as an Assistant Professor.
自然科学
应用数学前沿研究【高中组】
Prof. Alberto is a Senior Faculty Scientist in the Mathematics Group at LBNL. He also holds a full-time position in the Mathematics Department at UC Berkeley. Before joining LBNL in 1976, Grünbaum taught at the Courant Institute in NYU, was a research scientist at the IBM Research Center in Yorktown Heights, NY and then joined the Applied Mathematics Department at Caltech before moving to Berkeley in 1974. He has served as director of the Center for Pure and Applied Mathematics and then Chairman of the UC Berkeley Mathematics Department from 1989--1992. He has been published extensively in the area of imaging, and his recent research interests include the study of Quantum Walks and its applications to different areas of science and technology. Alberto导师是加州大学伯克利分校应用数学终身正教授，在加州大学伯克利分校讲授线性代数等课程，曾任加州大学伯克利分校数学系主任、曾任英国物理研究所出版刊物Inverse Problems主编，曾在纽约大学柯朗数学研究所（Courant Institute；全球Top1应用数学研究中心）、IBM全球研究中心、劳伦斯伯克利国家实验室（Lawrence Berkeley Lab；美国最杰出的国家实验室之一）进行教学或研究工作。Alberto导师的研究聚焦应用数学与数学分析，多次应邀至世界各地知名学府发表主旨演讲。
