Upper-level project for students who have completed intro courses in biology/botany, soils and/or entomology.

This course offers a rigorous exploration of the mathematical foundations, algorithmic frameworks, and cutting-edge developments in generative modeling. Students will examine both classical and modern approaches, starting with probabilistic models such as Gaussian Mixture Models and progressing through advanced deep learning architectures including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Deep Autoregressive Models.

Lab section. Material builds on introductory organic chemistry topics covered in CHM 222 and focuses more heavily on retrosynthetic analysis and multistep synthetic planning. Specific topics include reactions of alkyl halides, alcohols and ethers; aromaticity and reactions of benzene; and cycloaddition reactions including the Diels-Alder reaction. Corequisite: CHM 223. Prerequisite: CHM 222/ CHM 222L, or equivalent. Enrollment limited to 16.

The purpose of this course is to understand and use drawing as a daily problem-solving practice throughout the semester. This course will start off with an emphasis on the elements of visual arts like composition, values, and form through (mainly) observational drawing and collaboration. Later it shifts to projects that serve to open ideas around the drawing process so that it can be used to explore and develop self-defined subject matter.

Light. Darks. Colors. Textures-they don't just touch, they dance in a ritual to reveal themselves. This studio course is structured to be an artistic and intellectual exploration on how painting (formally and expansively) can hold time whether that be metaphorically, conceptually or within the art-making process itself. By pairing technical exercises to conceptual ideas and explorations, we will consider and explore time as a material, duration, and repetition.