# Spring 2018: Introduction to Probability Modeling (36-410)

Instructor Information**Instructor:**Siva Balakrishnan

**Email:**siva@stat.cmu.edu

**Office Hours:**Tuesday: 1:30PM - 2:30PM

**Location:**BH 132K

TA Information

**TA:**Ilmun Kim

**Email:**ilmunk@andrew.cmu.edu

**Office Hours:**Thursday: 9:30AM - 10:30AM

**Location:**WH 4625

**TA:**Boyan Duan

**Email:**boyand@andrew.cmu.edu

**Office Hours:**Wednesday: 10:00AM - 11:00AM

**Location:**BH 232K

Course Description

Stochastic processes are ways of quantifying the dynamic relationships of sequences of random events. Stochastic models play an important role in elucidating many areas of the natural, managerial, and engineering sciences. They can be used to analyze the variability inherent in biological and medical processes, to deal with uncertainties affecting managerial decisions, and with the complexities of psychological and social interactions, and to provide new perspectives, methodology, models and intuition to aid in other mathematical and statistical studies. This course in intended as an introduction to stochastic models for students familiar with elementary probability. The course aims to bridge the gap between a first course in mathematical probability and an intermediate level course in stochastic processes.

Course Syllabus

The syllabus provides information on grading, late HW policies, class policies etc.

Course Calendar:

The calendar has an approximate week-by-week schedule. Consult this document to know when the in-class exams are.

Lecture Notes

Assignments

Assignment solutions

Practice Exams