# Introduction To Probabilistic Graphical Models

## ECSE-4810

This course covers topics related to learning and inference with different types of Probabilistic Graphical Models (PGMs). It also demonstrates the application of PGMs to different fields. The course covers both directed and undirected graphical models, both parameter and structure learning, and both exact and approximated inference methods.

3 credits
Cross-listed with:
ECSE-6810 Introduction To Probabilistic Graphical Models
Prereqs:
one of:
ECSE-2500 Engineering Probability ENGR-2600 Modeling & Analysis Uncertaint

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |
2025 |  |  |

2024

Introduction To Probabilistic Graphical Models (3c)

- Qiang Ji

Seats Taken: 4/30

2023 |  |  |

2022

Introduction To Probabilistic Graphical Models (3c)

- Qiang Ji

Seats Taken: 3/50

2021 |  |  |
2020 |  |  |
2019 |  |  |
2018 |  |  |
2017 |  |  |
2016 |  |  |
2015 |  |  |
2014 |  |  |
2013 |  |  |
2012 |  |  |
2011 |  |  |
2010 |  |  |
2009 |  |  |
2008 |  |  |
2007 |  |  |
2006 |  |  |
2005 |  |  |
2004 |  |  |
2003 |  |  |
2002 |  |  |
2001 |  |  |
2000 |  |  |
1999 |  |  |
1998 |  |  |