Credits 9 credits
When D slot (Monday, Tuesday, Wednesday, Thursday)
Exams and Grading
Sometime in November or December
First class on Monday, August 31, 2020. The lectures will be accompanied by a quiz on a daily basis to improve your understanding. These daily quizzes are not graded.
Send an email via your smail id to be added to the google groups.
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