Teaching Assistant in Probability and Statistics for Engineering

This course is taught by Dr.Heari. My main task includes:

• Creating and designing assignments
• Conducting classes for students in which extra contents and concepts were presented. Such as:
  • A Probabilistic Cache Schedule Method
  • Naive Bayes Classifier as a simple example of PGMs
  • Why do we use MSE? Showing the connection between Maximum Likelihood Estimation with Gaussian noise and minimizing the MSE
  • Bootstrap as a way to estimate a Statistic and then construct a confidence interval.
  • Random Walk

Assignments have two parts.

Questions
Computer Experiments

Questions includes:

• Calculating Probabilities
• Proofing the property
• Modeling some real world example with our statistical tools
  

Computer Experiment includes:

• Naive Bayes Classifier
• Sampling From a Distribution and Plotting corresponding Graphs
  

For more information about the question material checkout github