Honors Thesis expectations are high. The intended end-product is a traditional research manuscript with accompanying artifact(s), all theses: - are 6 credits or more of sustained research on a single topic, typically conducted over two semesters. - begin with creative inquiry and systematic research. - include documentation of substantive scholarly endeavor. - culminate in an oral defense or other form of public presentation.

This course introduces graduate students in Food Science to the principles and applications of data science, machine learning, and deep learning for analyzing complex food systems. Students learn to organize, visualize, and model experimental data such as kinetic, rheological, spectroscopic, imaging, and process data using Python in a cloud-based environment. Topics include exploratory data analysis, regression and classification, multivariate calibration, and modern deep learning approaches for nonlinear feature extraction, including autoencoders and nonlinear PCA.

Not available at this time

Honors Thesis expectations are high. The intended end-product is a traditional research manuscript with accompanying artifact(s), all theses: - are 6 credits or more of sustained research on a single topic, typically conducted over two semesters. - begin with creative inquiry and systematic research. - include documentation of substantive scholarly endeavor. - culminate in an oral defense or other form of public presentation.

This course fulfills the University's Junior Year Writing Requirement for students in the College of Engineering. Students will be introduced to traditional technical and scientific writing forms, including outlines, summaries, mechanical and technical descriptions, extended technical definitions, research reports, and proposals. Grammar review, oral presentations and on-line research are significant components of this course. Students will also investigate ethics in engineering practice and research.

Techniques of modern biochemistry: ultraviolet and visible spectrophotometry, spectrofluorimetry, SDS polyacrylamide gel electrophoresis, western blot and mass spectroscopy. Corequisite: BCH 252. Prerequisite: CHM 111L or CHM 118L, CHM 222L and BIO 133. Enrollment limited to 12.

Techniques of modern biochemistry: ultraviolet and visible spectrophotometry, spectrofluorimetry, SDS polyacrylamide gel electrophoresis, western blot and mass spectroscopy. Corequisite: BCH 252. Prerequisite: CHM 111L or CHM 118L, CHM 222L and BIO 133. Enrollment limited to 12.