Sivaprasad Madhira has been Lecturer and Reader in the Department of Statistics, University of Pune, India; Professor of Statistics and Head, Department of Computer Science, Shivaji University, Kolhapur; Professor of Computer Applications, SIBER, Kolhapur; Director (MCA) and Director (IMED), Dean (Faculty of Management Studies) at Bharati Vidyapeeth University, Pune. He retired as Professor, Computer Applications, at IMED and Director - ICT at Bharati Vidyapeeth University, Pune. At present he is a visiting faculty at Savitribai Phule Pune University, formerly known as University of Pune. Prof. Prasad has started new departments/new programs and conducted quality courses in Statistics, Computer Science and Management. He was instrumental in setting up the statistics program and MCA program at Shivaji University; MCA program at SIBER, Kolhapur; and MCA program at Bharati Vidyapeeth University. During his career spanning 49 years of teaching and research, he has publishedmany research papers in national and international journals of repute and supervised students for their PhD and MPhil degrees. He participated in numerous national and international conferences and delivered invited lectures. Shailaja Deshmukh, retired as Professor of Statistics from the Department of Statistics, Savitribai Phule Pune University, formerly known as University of Pune, India, and continues to serve there as a visiting faculty. She has taught around twenty five different theoretical and applied courses. She worked as a visiting professor at the Department of Statistics, University of Michigan, Ann Arbor, Michigan during 2009-10 academic year. Her areas of interest are inference in stochastic processes, applied probability and analysis of microarray data. She has a number of research publications in various peer-reviewed journals. She has worked as an executive editor and as a chief editor of the Journal of Indian Statistical Association and is an elected member of the International Statistical Institute. She has authored five books --- ‘Microarray Data: Statistical Analysis Using R’ (jointly with Dr. Sudha Purohit) in 2007; ‘Statistics Using R’ (jointly with Dr. Sudha Purohit and Prof. Sharad Gore) in 2008; ‘Actuarial Statistics: An Introduction Using R’ in 2009; ‘Multiple Decrement Models in Insurance: An Introduction Using R’ in 2012; and ‘Asymptotic Statistical Inference: A Basic Course Using R’ in 2021; with the last two being published by Springer.

• Basics of Stochastic Processes.- Markov Chains.- Long-run Behaviour of Markov Chains.- Random Walks.- Bienayme Galton Watson Branching Process.- Continuous Time Markov Chains.- Poisson Process.- Birth and Death Processes.- Brownian Motion Process.- Renewal Process.- Solutions Conceptual Exercises.

Sivaprasad Madhira has been Lecturer and Reader in the Department of Statistics, University of Pune, India; Professor of Statistics and Head, Department of Computer Science, Shivaji University, Kolhapur; Professor of Computer Applications, SIBER, Kolhapur; Director (MCA) and Director (IMED), Dean (Faculty of Management Studies) at Bharati Vidyapeeth University, Pune. He retired as Professor, Computer Applications, at IMED and Director - ICT at Bharati Vidyapeeth University, Pune. At present he is a visiting faculty at Savitribai Phule Pune University, formerly known as University of Pune. Prof. Prasad has started new departments/new programs and conducted quality courses in Statistics, Computer Science and Management. He was instrumental in setting up the statistics program and MCA program at Shivaji University; MCA program at SIBER, Kolhapur; and MCA program at Bharati Vidyapeeth University. During his career spanning 49 years of teaching and research, he has publishedmany research papers in national and international journals of repute and supervised students for their PhD and MPhil degrees. He participated in numerous national and international conferences and delivered invited lectures. Shailaja Deshmukh, retired as Professor of Statistics from the Department of Statistics, Savitribai Phule Pune University, formerly known as University of Pune, India, and continues to serve there as a visiting faculty. She has taught around twenty five different theoretical and applied courses. She worked as a visiting professor at the Department of Statistics, University of Michigan, Ann Arbor, Michigan during 2009-10 academic year. Her areas of interest are inference in stochastic processes, applied probability and analysis of microarray data. She has a number of research publications in various peer-reviewed journals. She has worked as an executive editor and as a chief editor of the Journal of Indian Statistical Association and is an elected member of the International Statistical Institute. She has authored five books --- ‘Microarray Data: Statistical Analysis Using R’ (jointly with Dr. Sudha Purohit) in 2007; ‘Statistics Using R’ (jointly with Dr. Sudha Purohit and Prof. Sharad Gore) in 2008; ‘Actuarial Statistics: An Introduction Using R’ in 2009; ‘Multiple Decrement Models in Insurance: An Introduction Using R’ in 2012; and ‘Asymptotic Statistical Inference: A Basic Course Using R’ in 2021; with the last two being published by Springer.

• Basics of Stochastic Processes.- Markov Chains.- Long-run Behaviour of Markov Chains.- Random Walks.- Bienayme Galton Watson Branching Process.- Continuous Time Markov Chains.- Poisson Process.- Birth and Death Processes.- Brownian Motion Process.- Renewal Process.- Solutions Conceptual Exercises.

Sivaprasad Madhira has been Lecturer and Reader in the Department of Statistics, University of Pune, India; Professor of Statistics and Head, Department of Computer Science, Shivaji University, Kolhapur; Professor of Computer Applications, SIBER, Kolhapur; Director (MCA) and Director (IMED), Dean (Faculty of Management Studies) at Bharati Vidyapeeth University, Pune. He retired as Professor, Computer Applications, at IMED and Director - ICT at Bharati Vidyapeeth University, Pune. At present he is a visiting faculty at Savitribai Phule Pune University, formerly known as University of Pune. Prof. Prasad has started new departments/new programs and conducted quality courses in Statistics, Computer Science and Management. He was instrumental in setting up the statistics program and MCA program at Shivaji University; MCA program at SIBER, Kolhapur; and MCA program at Bharati Vidyapeeth University. During his career spanning 49 years of teaching and research, he has publishedmany research papers in national and international journals of repute and supervised students for their PhD and MPhil degrees. He participated in numerous national and international conferences and delivered invited lectures. Shailaja Deshmukh, retired as Professor of Statistics from the Department of Statistics, Savitribai Phule Pune University, formerly known as University of Pune, India, and continues to serve there as a visiting faculty. She has taught around twenty five different theoretical and applied courses. She worked as a visiting professor at the Department of Statistics, University of Michigan, Ann Arbor, Michigan during 2009-10 academic year. Her areas of interest are inference in stochastic processes, applied probability and analysis of microarray data. She has a number of research publications in various peer-reviewed journals. She has worked as an executive editor and as a chief editor of the Journal of Indian Statistical Association and is an elected member of the International Statistical Institute. She has authored five books --- ‘Microarray Data: Statistical Analysis Using R’ (jointly with Dr. Sudha Purohit) in 2007; ‘Statistics Using R’ (jointly with Dr. Sudha Purohit and Prof. Sharad Gore) in 2008; ‘Actuarial Statistics: An Introduction Using R’ in 2009; ‘Multiple Decrement Models in Insurance: An Introduction Using R’ in 2012; and ‘Asymptotic Statistical Inference: A Basic Course Using R’ in 2021; with the last two being published by Springer.

• Basics of Stochastic Processes.- Markov Chains.- Long-run Behaviour of Markov Chains.- Random Walks.- Bienayme Galton Watson Branching Process.- Continuous Time Markov Chains.- Poisson Process.- Birth and Death Processes.- Brownian Motion Process.- Renewal Process.- Solutions Conceptual Exercises.