Winter 2024

This course will cover topics in two areas under privacy-preserving computing: a) federated or privacy-preserving

(no description available) 

This is a graduate-level research course on Conversational AI.  Over the duration of this course, we will delve into the latest publications within the expansive domain of Large Language Models (LLMs) and Conversational AI.

This course will teach you everything about offline rendering, so you will be able to write a fully functional industry-level renderer (such as Disney's Hyperion and Pixar's RenderMan) that produces stunning graphics. Topics in this course will cover the physics of light, the rendering equation, Monte Carlo integration, path tracing, physically-based reflectance models, participating media, other advanced light transport methods, production rendering approaches, and so on.

There’s a lot of excitement about blockchains and cryptocurrencies mixed with a lot of skepticism and pessimism, but advances in the foundations underlying blockchains are undisputable. The goal of this course is to weave an overview of prominent blockchains systems with key technical advances the field has instigated.

Course purpose: The course focuses on the ability to translate theoretical knowledge about algorithms, data structures, and complexity to efficiently be able to perform the complete process of analyzing a problem, estimate the running time of suggested solutions, and to implement a running program.