02539nam a22002777a 4500 20231020135337.0 231020b ||||| |||| 00| 0 eng d 0021-9584 RIEBPL Library 540.7 Alison Wallum et al... An Instrument Assembly and Data Science Lab for Early Undergraduate Education (Journal Article) USA :American Chemical Society ,May 2023 1866-1876p. American Chemical Society, Volume 100, Issue 5 ***______{For Hard Copy, Please visit Library.}________*** Abstract- As data science and instrumentation become key practices in common careers ranging from medicine to agriscience, chemistry as a core introductory course must introduce such topics to students early and at an accessible level. Advanced data acquisition and data science generally require expensive precision instrumentation and massive computation, often out-of-reach even for upper-level undergraduate laboratory courses. At the same time, a new generation of affordable do-it-yourself instruments presents an opportunity for incorporation of curricula focused on instrument design and computation into freshman-level courses. We present a new lab for integration into existing courses that starts with hands-on spectrometer building, moves to data collection, and finally introduces an advanced data science technique, singular value decomposition, at an appropriate level with minimal computing requirements. The hardware and software used are modular and inexpensive. The lab was tested in three community college general chemistry sections over two semesters. Previously, students taking these courses did not typically see advanced quantitative chemistry curricula before deciding whether to pursue a bachelor’s degree. This lab allowed students to practice data collection and organization skills, use prewritten Jupyter notebooks that perform advanced data analysis, and gain presentation skills. A multiwave assessment completed by students highlights both successes and difficulties associated with incorporating multiple advanced topics involving instrument design, data collection, and analysis techniques in a single lab. singular value decomposition spectrometer community college Python food dye UV−vis https://doi.org/10.1021/acs.jchemed.2c01072 PER 0 0 0 0 RIEBPL RIEBPL 2023-10-20 0 540.7 2023-10-20 00:00:00 2023-10-20 PER 44560 44559