## E2 204 : Stochastic Processes & Queueing Theory, Spring 2018## Lectures & Homework02 Jan 2018: Lecture-01 Introduction 04 Jan 2018: Lecture-02 Probability Review 09 Jan 2018: Lecture-03 Introduction to Renewal Theory 11 Jan 2018: Lecture-04 Concentration of Renewal Processes
## Homeworks## Tests## Grading PolicyMid Term: 20 ## Course SyllabusPoisson process, Renewal theory, Markov chains, Reversibility, Queueing networks, Martingales, Random walk. ## Course DescriptionBasic mathematical modeling is at the heart of engineering. In both electrical and computer engineering, many complex systems are modeled using stochastic processes. This course will introduce students to basic stochastic processes tools that can be utilized for performance analysis and stochastic modeling. ## Slack InformationStudents can signup for course slack using their iisc.ac.in email at Slack signup. Add yourself to #spqt-2018. ## InstructorsParimal Parag ## Time and LocationClassroom: EC 1.07, Main ECE Building ## Teaching AssistantRahul Ramachandran ## TextbooksStochastic Processes, Sheldon M. Ross, 2nd edition, 1996. Introduction to Stochastic Processes, Erhan Cinlar, 2013. Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues, Pierre Bremaud, 1999. Markov Chains, James R. Norris, 1998. Reversibility and Stochastic Networks, Frank P. Kelly, 2011. Probability: Theory and Examples, Rick Durett, 4th edition, 2010. |