MTL 106 (Introduction to Probability Theory and Stochastic Processes) 4 Credits (3-1-0)

II Semester 2018-19

Lecture Classes (Slot D): Tuesday, Wednesday and Friday between 9:00 AM and 9:50 AM in LH 121.

Tutorial Classes: LH 519 on Monday (Vaibhav Gupta for Group 4), LH 519 on Tuesday (Avaneep for Group 1), LH 519 on Thursday (Vaibhav Gupta for Group 2) and LH 519 on Friday (Avaneep for Group 3) between 2:00 PM and 2:50 PM.




Probability Theory: Axioms of probability, Probability space, Conditional probability, Independence, Baye's rule, Random variable, Some common discrete and continuous distributions, Distribution of Functions of Random Variable, Moments, Generating functions, Two and higher dimensional distributions, Functions of random variables, Order statistics, Conditional distributions, Covariance, correlation coefficient, conditional expectation, Modes of convergences, Law of large numbers, Central limit theorem.

(No. of Lectures - 28)

Stochastic Processes: Definition of Stochastic process, Classification and properties of stochastic processes, Simple stochastic processes, Stationary processes, Discrete and continuous time Markov chains, Classification of states, Limiting distribution, Birth and death process, Poisson process, Steady state and transient distributions, Simple Markovian queuing models (M/M/1, M/M/1/N, M/M/c/N, M/M/N/N).

(No. of Lectures - 14)

Main Text Books

1.      Introduction to Probability and Stochastic Processes with Applications, Liliana Blanco Castaneda, Viswanathan Arunachalam, Selvamuthu Dharmaraja, Wiley, Asian Edition, Jan. 2016.

2.      Probability and Statistics with Reliability, Queueing and Computer Science Applications, Kishor S. Trivedi, John Wiley, second edition, 2001.

3.      Introduction to Probability Models, Sheldon M. Ross, Academic Press, tenth edition, 2009.

Reference Books

1.      Introductory Probability and Statistical Applications, Paul L. Meyer, Addison-Wesley, 1966.

2.      Stochastic Processes, J. Medhi, New Age International Publishers, 3rd edition, 2009.

3.      Stochastic Processes, Video course, NPTEL Phase II.

4.      Probability, Random Variables and Stochastic Processes, Athanasios Papoulis and S. Unnikrishna Pillai, Tata Mcgraw-Hill, fourth edition, 2002.

5.      An Introduction to Probability Theory and its Applications, Vol. I & II, William Feller, Wiley Eastern, third edition, 2000.

Tutorial Sheets

Note: It seems, some students found that the answers provided for few problems in the following tutorial sheets are not correct. Please let me know these errors by email.

Tutorial Sheet 1 Answer

Tutorial Sheet 2 Answer

Tutorial Sheet 3 Answer

Tutorial Sheet 4 Answer

Tutorial Sheet 5 Answer

Tutorial Sheet 6 Answer

Tutorial Sheet 7 Answer

Tutorial Sheet 8 Answer

Scheme of Evaluation


Two Minor Tests of 25 Marks each

2 X 25


One Major Examination

1 X 50







         Students are encouraged to contact the Course Coordinator or Tutorial Teachers for any difficulties regarding the course.

         Only those students who could not appear for one of the minor tests due to medical reasons are eligible for the make up examination which will be conducted before the major examination. However, submission of a valid medical certificate adhering to the institute norms is mandatory.

         The evaluated minor answer books will be returned to the students and they must retain with them as a proof of the marks secured.

INFORMATION about the Instructors



Room No.

Phone No.


S Dharmaraja

MZ 164



INFORMATION about the Tutorial Teachers



Room No.

Phone No.


Nitu Sharma




Anubha Goel





Students can join the discussion forum in

See Course Website: for updates.



(S Dharmaraja)


This page maintained by Dr. S. Dharmaraja and last updated Monday, Jan 14, 2019.