Data Science Applications in Physics
Introduction to data science with applications to physics. Topics include: statistics and probability in physics, modeling of the physical systems and data, numerical integration and differentiation, function approximation. Connector course for Data Science 8, room-shared with Physics 77. Recommended for freshmen intended to major in physics or engineering with emphasis on data science.
Topics
- Learning goals for Physics 88 The following learning goals will guide the presentation of material as well as development of HWs, rubrics for assessment, and practice problems for use in discussion section: 1) Use of representations, 2) Communication, 3) Tools, 4) Problem-Solving, 5) Making connections, 6) Intellectual maturity and metacognition, 7) Resourcefulness.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1245674', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1245672', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1254291', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1184911', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1245671', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1145001', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1245673', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1145002', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1144962', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1144961', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027