Research Immersion in Materials Science & Engineering (RIMSE) Summer School on Predictive Assembly - SSPA
  • Type Learning
  • Level Foundational
  • Time Months
  • Cost Paid
Additional Details

Research Immersion in Materials Science & Engineering (RIMSE) Summer School on Predictive Assembly - SSPA

Issued by UC San Diego Extended Studies

The earner completed 8 weeks of comprehensive training and instruction in: computational aspects of the self-assembly problem, deployed high-performance computing to build predictive models, multi-scale theoretical framework to solving global problems related to energy, environmental sustainability, and human health, molecular dynamics (MD) simulations, Monte-Carlo (MC) simulations, and simulation of assembly at atomistic, nanoscopic, and mesostructural scales.

  • Type Learning
  • Level Foundational
  • Time Months
  • Cost Paid
Additional Details

Skills

Earning Criteria

  • Earner was assessed on: Class discussions/discussion posts, Peer-to-peer work (pairs, small groups), Written assignments (reports, essays), Case Study Analysis, Student projects, and Workbook exercises
  • Individual Project, Discovery Project, Group Project
  • Deliver a conference research presentation to technical audience and practice science communication skills with a non-technical audience