Evaluation |
Date |
Points |

Assignments | Due Sundays | \(50\) |

EndSem | Sometime in November or December | \(50\) |

- All assignments due on Sundays before 11:59 PM.
- Late assignments will be marked zero.
- Students will need to write their answer via Google forms for assignment submission. More on this later.
- Any copying on assignments will result in a zero on the assignment.
- We will be using JPlag to detect similarities among multiple sets of source code files.
- The grader will expect you to express your ideas clearly, legibly, and completely, often requiring complete English sentences rather than merely just a long string of equations or unconnected mathematical expressions. This means you could lose points for poorly written proofs or answers. Clear exposition is a crucial ingredient of technical communication. Clarity of thought and presentation is more important in mathematics & sciences than any other field. The only way to master exposition is by repeated practicing.

- Review of Probability: Basic probability, Conditioning and Bayes rule, Independence, Counting, Discrete & Countinuous Random Variables, Multiple Random variables, Law of Large Numbers (around 14 lectures)
- Statistics: Introduction, Parametric Inference, Maximum Likelihood Estimation, Method of Moments, Parametric Hypothesis Testing, Testing goodness of fit, Regression, Bayesian Statistics, Principal Component Analysis, Generalized Linear Models (around 24 lectures)

- Dimitri Bertsekas and John Tsitsiklis. Introduction to Probability
- Notes and Slides will be posted for the statistics part