Modeling of complex biological systems (Spring 2024)

High-throughput molecular measurements have necessitated development and application of statistics and machine learning, giving rise to computational biology. Microarray and sequencing technologies enable us to quantify how complex systems are responding to and influenced by experimental and external conditions. Lately, there have been interesting developments in single cell analyses, spatial genomics, imaging and others that involve higher resolutions, scales, and complexities. In this course, we study exploratory data analysis, statistical learning, and neural networks that are specifically designed for such biological studies.

Challenges in AI and mobile health for leveraging access to care in mental health (April 2024)

Artificial intelligence as new media (March 2024)

Artificial intelligence art (Spring 2023)

Artificial intelligence (AI) has developed significantly in the recent times with a variety of deep learning architectures. In this rapid prototyping team-focused course, we study and reimagine the implications of AI, bias, and algorithmic justice within creative use and design process. Especially, during the semester, students will create interdisciplinary arts and design projects with the central theme that memory, dreams, and nation-state collective narratives being defined through rapidly developing technologies like GPT-3, Stable Diffusion, and others.