This course examines sociotechnical problems with existing modes of social media and works towards building new, affirmative visions for social media through technical and policy means. Students will examine interventions to address problems with contemporary social media and design and develop possible interventions.

Not available at this time

This is an in-depth multidisciplinary course intended for students with a business, managerial, or natural science background wishing to pursue a non-technical approach to wind energy. It assumes some basic knowledge of STEM Disciplines. It will educate students in advanced wind turbine performance and investment; institutional, legal, and environmental issues; and wind energy development and construction. Additionally, students will be informed about business, financial, legal, regulatory, and project development aspects of the industry.

Not available at this time

This is an intermediate-level course in American Sign Language. The course expands students' skills to communicate in a wider array of situations, to further develop their language fluency and to advance their level of comprehension of ASL in culturally appropriate ways. Grammar is reviewed in context, with an emphasis on developing question and answering skills.

This is an intermediate-level course in American Sign Language. The course expands students' skills to communicate in a wider array of situations, to further develop their language fluency and to advance their level of comprehension of ASL in culturally appropriate ways. Grammar is reviewed in context, with an emphasis on developing question and answering skills.

The course will teach students algorithms that intelligently process, analyze and generate visual data. The course will start by covering the most commonly used image and shape descriptors. It will proceed with statistical models for representing 2D images, textures, 3D shapes and scenes. The course will then provide an in-depth background on topics of shape and image analysis and co-analysis. Particular emphasis will be given on topics of automatically inferring function from shapes, as well as their contextual relationships with other shapes in scenes and human poses.

The course will teach students algorithms that intelligently process, analyze and generate visual data. The course will start by covering 2D image and 3D shape representations, classification and regression techniques, and the fundamentals of deep learning. The course will then provide an in-depth background on analysis and synthesis of images and shapes with deep learning, in particular convolutional neural networks, recurrent neural networks, memory networks, auto-encoders, adversarial networks, reinforcement learning methods, and probabilistic graphical models.

The course will teach students algorithms that intelligently process, analyze and generate visual data. The course will start by covering the most commonly used image and shape descriptors. It will proceed with statistical models for representing 2D images, textures, 3D shapes and scenes. The course will then provide an in-depth background on topics of shape and image analysis and co-analysis. Particular emphasis will be given on topics of automatically inferring function from shapes, as well as their contextual relationships with other shapes in scenes and human poses.

This course will be centered on Neo-Daoism, also called Wei-Jin Xuanxue (The Study of Mysteries in the Wei-Jin, Northern and Southern Dynasties period), using close readings of scholars such as He Yan, Wang Bi, and Guo Xiang. From this point we will make comparisons back to pre-Qin thought, and forward to the development of Buddhism.