Modeling of complex biological systems
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.
Artificial Intelligence Art
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.