Probability, Statistics and Stochastic Processes, January-May 2019

When Tuesday 1-2, Thursday 11-12, Friday 10-11; (Monday 8-9 will be used as a reserve slot)
Where Class Room Complex 304

Instructor

Sivaram Ambikasaran,
Office: NAC 648

Syllabus

Probability Axiomatic definition of probability, Independent Events, Baye's theorem, Discrete and continuous random variables, Distribution, Functions of random variables, Expectation, Variance, Correlation coefficient, Chebyshev’s inequality, Markov inequality, Conditional expectations, Standard discrete and continuous distributions (Binomial, Poisson, Geometric, Exponential, Normal, Chi-square), Moment generating function, Sums of random variables, Law of large numbers, Central limit theorem, Normal approximation to Binomial.
Statistics Sampling distribution, Estimation of parameters, Maximum likelihood estimates, Confidence intervals, Student’s t-distribution, Testing hypothesis, Goodness of fit.
Stochastic Processes Continuous and discrete random process, Stationary random process, Bernoulli process, Poisson process, Markov chain.

Textbooks

Other Reference Textbooks

Grading

Evaluation Quiz-I Quiz-II EndSem
Points 20 20 60

Quiz I will be on February \(18\), Monday.

Quiz II will be on March \(25\), Monday.

End Sem will be on April \(29\), Monday.

Calendar

Below is a very rough calendar, which will be updated as we progress through the course.
Week Monday Tuesday Thursday Friday Practice problems
Jan 14- Jan 18
Jan 21- Jan 25 Finish Chapter 1
Jan 28- Feb 1
Feb 4- Feb 8 Finish Chapter 2
Feb 11- Feb 15 Finish Till Section 3.2
Feb 18- Feb 22 QUIZ-I Finish Chapter 3
Feb 25- Mar 1
Mar 4- Mar 8 Finish Chapter 4
Mar 11- Mar 15 Finish Chapter 5
Mar 18- Mar 22 Finish Till Section 9.1
Mar 25- Mar 29 QUIZ-II
Apr 1- Apr 5 Finish Chapter 9
Apr 8- Apr 12 Finish Chapter 6
Apr 15- Apr 19 Holiday
Apr 22- Apr 26 Finish Chapter 7
Apr 29- May 3 END SEM

More details will be added later.