Links

Main Links

• UBC Composites Group
• Composites Research Network (CRN)
• UBC Okanagan Engineering
• Materials and Manufacturing Research Institute (MMRI)
• UBC Okanagan campus map
• Composites Processing Lab-based Tutorials:
  • Wet Layup Process
  • Prepreg Layup Process
  • Dynamic Mechanical Analysis

Micro-CT

• Book: Microcomputed tomography : methodology and applications:
• A review paper by the CRN team
• SOP-MicroXCT
• Video Tutorials:
  • Introduction to Micro-CT
  • The Principles of Micro-CT
  • Avizo tutorial videos on Thermo Scientific EM & Spectroscopy

Machine Learning and Data Analytics

• Introductory Course
  • Machine Learning – by Coursera and Stanford University (12-week introductory course into many ML methods, implemented in Octave/Matlab)
  • https://www.coursera.org/learn/machine-learning/home/welcome
• 5-part Deep Learning Specialisation:
  • Neural Networks and Deep Learning – deeplearning.ai institute
  • https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization – deeplearning.ai institute
  • https://www.coursera.org/learn/deep-neural-network/home/welcome
  • Structuring Machine Learning Projects – deeplearning.ai institute
  • https://www.coursera.org/learn/machine-learning-projects/home/welcome
  • Convolutional Neural Networks – deeplearning.ai institute
  • https://www.coursera.org/learn/convolutional-neural-networks/home/welcome
  • Sequence Models – deeplearning.ai institute
  • https://www.coursera.org/learn/nlp-sequence-models/home/welcome
• 4-part Scalable Data Science and Cloud Computation Specialisation:
  • Fundamentals of Scalable Data Science – IBM
  • https://www.coursera.org/learn/ds/home/welcome
  • Advanced Machine Learning and Signal Processing – IBM
  • https://www.coursera.org/learn/advanced-machine-learning-signal-processing/home/welcome
  • Applied AI with Deep Learning – IBM
  • https://www.coursera.org/learn/ai/home/welcome
  • Advanced Data Science Capstone – IBM
  • https://www.coursera.org/learn/advanced-data-science-capstone/home/welcome
• Transfer Learning Tutorial
  • A composites autoclave processing case study on GitHub
• A journal for learning about Machine Learning
• UCI Machine learning repository 
• A classroom guide for data science teaching

Other useful links

• OrigionPro: A powerful scientific plotting and graphing program. See also: Veusz
• Teamup:  A great Shared Calendar tool for groups.
• Trello: Collaborate and manage team projects.
• Origin: data analysis and graphing software.
• CompositesPress: Social Magazine on composite materials.
• Dataset Search Engine for Researchers from Google.
• Monomers: Information for researchers.
• User Experience (UX) Research Methods: Information for researches involved with interviews/user studies.
• CADEC: An online application that performs composite materials analysis as in Introduction to Composite Materials Design–3rd Edition, CRC Press, 2018.
• Composite Materials Database
• AI Image Enlarger!
• Guidelines for 2D and 3D Image Correlation in Materials and Components Testing
• Casting Resin
• Glove Preparation Steps
• Table design in presentations
• Vancouver Coastal Health PPE test menu (contact info: rachael.ritchie@vch.ca)
• GOM ARAMIS Open-source Software- Digital Image Correlation (DIC) used for deformation measurement

Accommodation search suggestions for scholars visiting CRNO