Basic Information

• Course Code: SI404
• Course Name: Applied Stochastic Processes
• Course Offered In: 2023-2024
• Semester Season: Spring
• Instructors: Kaushik Saha
• Prerequisites: EE325
• Difficulty (1 being easy and 5 being tough): 2

Course Content

Markov process (discrete and continuous ) and introduction to queueing systems. Note: Although brownian motion is mentioned as a part of syllabus in most websites, it isn’t.

Feedback on Lectures

The lectures are great and would totally suffice for the quizzes and exams. Making good notes of them is mandatory as prof won’t be providing any slides from his side and …. he conducts surprise quizzes.

Feedback on Evaluations

The evaluation is fine and the exams are easy

Study Material and Resources

Prof does not give materials from his side and hence if you can make notes of each class you wouldn’t need any reference material for theory. Nevertheless, if you missed a few classes, you can cover it from the book “Markov Chains” J.R.Norris (most of the prof’s content can be found here). For practice we were suggested to use “Introduction to Modelling and Analysis of Stochastic Systems by V.G.Kulkarni”

Follow-up Courses

SI527 (Intro to derivative pricing) SI424 (Statistical Inderence 1)

Final Takeaway

There are surprise quizzes conducted and thus keeping upto date and being regular to classes becomes necessary.