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OMML Questionnaire Fall 2019
Questionnaire for students attending OMML Fall 2018
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Which Master degree are you attending? *
Which is your background Bachelor or Study Area ? *
Is OMML your first course on  Optimization/Operations Research/Mathematical Programming topics ?
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Do you know the defintion of nonlinear programming problem (uncontrained/constrained) ?
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Do you know what are the optimality conditions (necessary o sufficient) for a point to be a local minimizer of a nonlinear programming problem?
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Do you know what is a convex optimization problem and why convexity is so important in optimization ?
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Do you know the gradient algorithm for solving unconstrained nonlinear problems ?
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Given a mutivariate function f, do you know how to calculate the gradient of f and the hessian of f ?
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Do you know any algorithm for solving constrained nonlinear optimization problems?
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Have you ever used optimization routine in Python such as Scipy or CVX ?
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Have you ever used Scikit learn or TensorFlow libraries?
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Are you familiar with Phyton implementation of numerical methods?
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Do you know what is a Deep Neural Network ?
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Do you know what does "training algorithm" mean ?
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Do you know what is a supervised  training problem ?
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Do you know what are kernel methods ?
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In your opinion training a machine learning needs to solve an optimization problem ?  
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Perché hai scelto questo il corso di OMML ?
Cosa ti aspetti di imparare da questo corso ?
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