Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Dr. ir. G.F. Nane

Tina Nane is an associate professor of Applied Probability at Delft University of Technology since 2015. Her research focuses on uncertainty quantification and risk analysis, with a particular focus in data challenging situations. She is the responsible lecturer for BSc and MSc courses in decision theory and structured expert judgement and has conducted training workshops for structured expert judgment methods.

Her current research primarily focuses on uncertainty quantification and analysis, both data-driven and by employing expert opinions, both from an applied, as well as from a theoretical perspective. The structured expert judgment applications span over a variety of areas, including source attribution of food and waterborne illnesses in U.S., Netherlands, and world-wide, through a global study together with WHO, climate change, dike failure assessments in The Netherlands.

Tina has a PhD in Statistics and a cum laude MSc in Risk and Environmental Modelling from Delft University of Technology. Her MSc project focused on the risk assessment of merging and spacing airborne protocols. This work was the result of a close collaboration with NASA Langley Research Centre. The project was not only Tina’s first encounter with a concrete application of uncertainty quantification and the use of structured expert judgment, but also an opportunity to hold and organize uncertainty quantification training workshops for NASA. This triggered an ongoing academic interest and a strong passion for knowledge dissemination.

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