Each of the Training school lecturers will define a project assignment that will consist of (1) studying some materials (2) working on a computational task, typically like extended and more demanding exercise and (3) editing a project report. The projects will represent the Training School topics

(1) Extracting information from data: Principal Component Analysis, Robustness, and Outlier Detection
(2) Image Analysis. Focus on image restoration based on variational models
(3) Hydrodynamics for non Newtonian fluids and applications
(4) Dynamic Network Optimization and Applications in Civil Security

The project titles and descriptions will be published on the MODCLIM Forum after a few days. Each MODCLIM student will be assigned to one project group.

Each student should indicate (1) His/her preferred choice and (2) the secondary choice. If some topic becomes too crowded, we will suggest some students to move to the second option. Send your preferences (topic of preference 1 and preference 2) by email to Juan and Matti (This email address is being protected from spambots. You need JavaScript enabled to view it. and This email address is being protected from spambots. You need JavaScript enabled to view it., respectively) by March 3rd at the latest. We will assign the project teams based on your preferences.

The teams will work on their problem by communicating via internet, skype etc. The MODCLIM lecturers will provide some remote guidance and supervision of the project team.

The student team should select one among themselves to act as the team leader and contact person to communicate with the lecturer. The team should self-organize, divide sub tasks, agree who will edit the final report etc..

[Form Project_Selection_2016 not found!]

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